ArticlePDF Available

Pre-Adoption Diagnosis of the Intelligence Process in Organizations: A Delphi Study with Intelligence Practitioners

Authors:

Abstract and Figures

In turbulent and competitive scenarios, strategic intelligence is a crucial process for organizations to reduce uncertainties during decision-making and to anticipate changes that may affect their performance and sustainability. Despite the relevance of the activity, continuous and structured processes based on intelligence in organizations are not a reality due to the difficulty of implementing and formalizing it. Executing a diagnosis to evaluate conditions that precede the adoption of a structured intelligence activity allows companies to recognize their efficiency to perform monitoring, to further improve or implement it. This paper explores organizational, informational, individual, technological and material conditions that precede the adoption of the intelligence process, reviews six diagnostic models and proposes a diagnostic tool to evaluate issues that must be considered in advance. The Delphi method was used to exploit opinions among 30 intelligence practitioners in order to define which conditions of the process should be evaluated before its adoption in companies. As a result, this work contributes to filling the gap observed in the literature about the motivation to initiate the intelligence process in organizations and presents a formalized tool to evaluate its pre-adoption stage.
Content may be subject to copyright.
http://www.anpad.org.br/bar
BAR Brazilian Administration Review
Maringá, PR, Brazil, v. 16, n. 3, art. 5, e180114, 2019
http://dx.doi.org/10.1590/1807-7692bar2019180114
Research Article
Pre-Adoption Diagnosis of the
Intelligence Process in Organizations:
A Delphi Study with Intelligence Practitioners
Amanda Cainelli1
Raquel Janissek-Muniz1
1Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
Received 10 October 2018. This paper was with the authors for three revisions. Accepted 2 November 2019. First
published online 5 December 2019.
Clarissa Carneiro Mussi and an anoynimous contributor served as the associate editors for this article.
Editorial assistant: Luciane Kato Kiwara
Editor-in-chief: Carlo Gabriel Porto Bellini
A. Cainelli, R. Janissek-Muniz 2
OPEN ACCESS
Abstract
In turbulent and competitive scenarios, strategic intelligence is a crucial process for organizations
to reduce uncertainties during decision-making and to anticipate changes that may affect their
performance and sustainability. Despite the relevance of the activity, continuous and structured
processes based on intelligence in organizations are not a reality due to the difficulty of
implementing and formalizing it. Executing a diagnosis to evaluate conditions that precede the
adoption of a structured intelligence activity allows companies to recognize their efficiency to
perform monitoring, to further improve or implement it. This paper explores organizational,
informational, individual, technological and material conditions that precede the adoption of
the intelligence process, reviews six diagnostic models and proposes a diagnostic tool to evaluate
issues that must be considered in advance. The Delphi method was used to exploit opinions
among 30 intelligence practitioners in order to define which conditions of the process should be
evaluated before its adoption in companies. As a result, this work contributes to filling the gap
observed in the literature about the motivation to initiate the intelligence process in organizations
and presents a formalized tool to evaluate its pre-adoption stage.
Keywords: pre-adoption; structured intelligence process; diagnostic tool; delphi.
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 3
OPEN ACCESS
Introduction
Over the past 30 years, intelligence applied to business has become a fundamental component of
the informational infrastructure of companies and a prerequisite for organizational success
(Davenport, Harris, & Morison, 2010; Gilad & Fuld, 2016). Also known as environmental
scanning (Aguilar, 1967), strategic foresight (Tsoukas & Shepherd, 2004) or strategic scanning
(N. Lesca, Caron-Fasan, Aguirre, & Chalus-Sauvannet, 2015), intelligence is an essential process
to identify signals in the environment (changes and events) that must be observed, captured and
interpreted so that action can be taken in advance (Andriotti, Freitas, & Janissek-Muniz, 2008;
Hakansson & Nelke, 2015). These signals must be detected early in the external environment, in
time to mitigate their impacts (Russo, Sbragia, & Abraham, 2017). When done systematically,
the intelligence process allows production of value-added information and support for strategic
decisions, which is particularly relevant for organizations that wish to maintain a lifelong
sustainable competitive advantage (Choo, 1999; Tarapanoff, 2006).
The intelligence process should be structured to transform scattered and dissociated information
into actionable intelligence (Hakansson & Nelke, 2015). Systematization of the intelligence
process provides increased quality of the information in order to identify targets based on the
organizational priorities and strategy, reduce information duplicity, raise the probability of
identifying opportunities and threats, and increase decision making in strategic planning (Gilad
& Gilad, 1985; McGonagle & Vella, 2002; Sassi, Frini, Abdessalem, & Kraiem, 2015).
Although the importance of the structured process is recognized, there are still discontinuous,
informal and non-institutionalized intelligence practices in organizations (Borges & Janissek-
Muniz, 2017; Davis, 2008; Gilad & Fuld, 2016; Mayer, Steinecke, Quick, & Weitzel, 2013).
Often, process structuring is considered a complex task by companies, and this difficulty may be
linked to various aspects of the external environment that need to be constantly monitored,
requiring a significant effort by managers and decision-makers (Janissek-Muniz, 2016; Vidigal,
2013).
The intelligence process adoption requires a raise in executives sensibility and awareness of
monitoring practices so that their companies can draw plans to achieve the desired formalization
of the process (Brouard, 2007; H. Lesca, 2003). Although generally neglected (Gilad, 2016), this
evaluation can indicate improvements and actions for intelligence activity success and continuity
(Caron-Fasan & Janissek-Muniz, 2002).
There are few studies about the stage prior to the intelligence process adoption (N. Lesca et al.,
2015) that support the fact that it is in this important stage that organizations are sensitized and
awareness is created, as well as knowledge and interest about the need to observe the
environment. This is the reason why it is important to recognize, a priori, activities and conditions
that can influence the success of the process (Janissek-Muniz, 2016; Luzipo, Van Biljon, &
Herselman, 2015). This understanding can potentially avoid future problems, reduce costs and
time, reduce failure risks, and prepare an environment suitable to receive the intelligence process
(Verville, Barnadas, & Halingten, 2005). Therefore, the motivation to adopt the intelligence
A. Cainelli, R. Janissek-Muniz 4
OPEN ACCESS
process is one of the subjects that still need to be explored in the literature: the knowledge
regarding the internal and external conditions that precede this adoption or what leads
organizations to initiate this process have yet to be investigated (Iden, Methlie, & Christensen,
2017). Gilad (2016) points out that is important to understand information needs and business
practices before adopting an effective intelligence process, because the motivation that drives the
process implementation is a valid indicator of future, costs and effectiveness.
If organizations can identify beforehand the main issues related to organizational, informational,
human and technological conditions that must be improved in order to adopt a structured
intelligence process, they can lead to the success and continuity of the intelligence activity (N.
Lesca et al., 2015). Through mapping and recognizing the points that need improvement,
organizations can better prepare themselves to receive and structure the process, since the absence
of this prior knowledge is one of the main reasons for the discontinuity and weakening of the
activity (Herring, 1999). In this sense, the questions that guide this work are: how can anticipative
evaluation be done, and which are the main conditions that must be evaluated in the pre-
adoption stage of the intelligence process? In this way, this paper aims to present a diagnostic tool
to evaluate conditions related to the structured intelligence process before it is adopted in
companies. For all these reasons, this article explores the pre-adoption phase of the intelligence
process considering the existing literature on Information Systems and Strategic Intelligence,
aiming to identify prior conditions and build a framework of this stage. In order to identify such
conditions, this study analyzes six diagnosis tools of the intelligence activity. As a result of the
analysis, it will be possible to pose a set of questions through the Delphi method, in order to
consolidate a diagnostic script to be applied in organizations before the intelligence process is
installed. Finally, we present a tool to identify which improvements should be worked on to reach
the structuring and success of the activity.
Pre-adoption of the Intelligence Process
The concept of intelligence refers to an organized process that helps organizations monitor and
understand their business environment, compete successfully, and grow in a dynamic world in
which executives need to be aware of external opportunities and threats in order to make
decisions (Casagrande, Aguirre, & Vuillon, 2015). In this context, information is the central
resource of organizations (Rios & Janissek-Muniz, 2014), and intelligence emerges as a formalized
process that supports and works with strategy, contributing to business value and sustainable
growth in companies (N. Lesca & Caron-Fasan, 2008). Above all, the intelligence process is a
systematic way of looking at the world outside the company by observing, collecting and
interpreting information to provide decision-makers with elements that allow to anticipate
imminent opportunities and dangers in order to deal effectively with them (Brouard, 2007).
Studies have pointed out that this process is not only responsible for specifying which sectors
should be monitored, but also for scanning valuable information related to threats and
opportunities, indicating the tools to be used, incorporating analytical findings into executive
decision-making and, in many cases, monitoring the environment (Mayer, 2012). Therefore,
when incorporated into organizational processes, the intelligence process is necessary for
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 5
OPEN ACCESS
decision-maker success, as it produces relevant information that can be used to strategically
position a company (Gilad & Gilad, 1985; Kahaner, 1996).
Daft and Weick (1984) corroborate this idea and argue that any organization that has a structured
intelligence process will be able to develop sensitivity in the analysis and interpretation of data
and information, being able to not only act passively or in response to future trends in its
environment, but rather influence it into a desired situation. According to Choo (2001), in order
to carry out the intelligence process, it is necessary that the organization has an internal an ability
to learn and interpret data and is aware of some questions about the search for information: the
need for search; the manner or form that it will be sought; the destination or use of information;
and the analysis on how this information impacts and is impacted by the context or situational
dimension, organizational strategies and managerial aspects. The investigation on information
can be inferred as capabilities, which can be considered Dynamic Capabilities, since they
represent a set of skills that the organization develops internally in order to integrate, construct
and reconfigure resources (structure and processes), as well as to adapt quickly to environmental
changes (Teece, Pissano, & Shuen, 1997).
As described earlier, because it is so inherent to the internal processes of each company, the stage
that precedes the adoption of the intelligence process varies from one organization to another
and depends on three underlying factors: objectives, corporate structure, and resources (Bartes,
2013; Gilad & Gilad, 1985). External conditions (environmental turbulence and resource
dependence); organizational issues (nature of the business and strategy pursued); informational
conditions (availability and quality of information); personal issues (knowledge of the intelligence
professional); and cognitive style can also influence intelligence process adoption (Choo, 2003).
This is why before any intelligence operation begins, it is essential to know users’ informational
needs so that the actions can be well-conducted, considering that the absence of this knowledge
is the main reason for poor intelligence processes, with low performance and demotivation of
intelligence teams (Herring, 1999).
Another important element that can contribute to the success and sustainability of the
intelligence process in organizations is prior contact with critical factors. Certain conditions, such
as organizational, individual, informational, technological and material, can indicate barriers or
drivers that may or may not be present in organizations and therefore should be analyzed in the
pre-adoption stage of the structured intelligence process, as shown in Figure 1.
A. Cainelli, R. Janissek-Muniz 6
OPEN ACCESS
Figure 1. Pre-adoption conditions of the structured intelligence process
Given this, human, organizational, material and cultural resources emerge as central indicators
of success or failure of an activity, such as choosing a leader, for example, who must be competent,
legitimate and recognized by the people involved team and top management and the
definition of the expected objectives of the project (Janissek-Muniz, 2016). The commitment to
make intelligence a continuous activity requires, therefore, conditions that must be adapted to
the specific goals and needs of the company so that the process can be an organic part of it (Bartes,
2013; Caron-Fasan & Janissek-Muniz, 2001; Gilad & Gilad, 1985). The conditions to achieve
success in the pre-adoption stage of the structured intelligence process will be discussed in the
following section.
Organizational conditions
According to Bartes (2013), the main reason of failure when organizations implement an
intelligence process is not creating favorable conditions for the success of the activity, such as
providing education and training, equipment, tools, and sources of information. The process
should be part of organizational strategic planning to support the development of competitive
advantage or market position (Choo, 2003; Gilad & Gilad, 1985; N. Lesca et al., 2015).
According to studies in this area, by stimulating the information-driven culture, intelligence
serves to fuel the innovation process, help market differentiation, and increase organizational
competitiveness (Jaharuddin, Dato’Mansor, & Yaakob, 2016; Janissek-Muniz, 2016; Marchand
& Hykes, 2007; N. Lesca et al., 2015; Xu & Kaye, 2009).
Another reason for organizations to adopt strategic scanning is to do what other organizations
are doing (N. Lesca et al., 2015). The comparison between organizations can be useful in task
planning, in the definition of objectives and also in the recognition of resources limitations
(human and financial, in order to conduct the activity), and so the intelligence process complexity
is understood beforehand (Bartes, 2013; Gilad & Gilad, 1985; Janissek-Muniz, 2016; N. Lesca et
al., 2015).
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 7
OPEN ACCESS
Support from top management, training, and user’s commitment are also predictors of process
adoption (Almeida, Lesca, & Canton, 2016; Luzipo et al., 2015). The lack of support from top
management in legitimizing a leader or a committee responsible for conducting the
implementation of the intelligence process and the absence of budget can negatively impact its
continuity (Almeida & Hirata, 2016; Janissek-Muniz, 2016; N. Lesca et al., 2015).
Individual conditions
The sharing of knowledge at all levels should be a feature of the structured intelligence process
to encourage diversity of interpretation and vision of the future within the company (Marchand
& Hykes, 2007). Besides that, there is a need for an adequate leader profile, as well as specific
skills, legitimacy and competence of the leader to motivate the execution and conduction of
strategic scanning activity (Bartes, 2013; Janissek-Muniz, 2016; Mayer, 2012; N. Lesca & Caron-
Fasan, 2008). Also, there is still a lack of internal knowledge about the benefits and advantages
of the process, which often leads to the unrealistic perception that the intelligence area will solve
all company problems (Bartes, 2013). As individual pre-adoption conditions, the representative
elements are linked to manager and staff having personal awareness, willingness and commitment
that it is worth having an intelligence process, a positive attitude toward it, and the knowledge
that the method is relevant (Gilad & Gilad, 1985; Jalaldeen, Karin, & Mohamed, 2009; Janissek-
Muniz, 2016; N. Lesca et al., 2015).
Another individual issue mentioned by H. Lesca (2003) is when the manager recognizes the
importance of the process and wishes to implement it, but is blocked by his or her peers or
superiors who do not adhere to it and are not sensitized about it. Borges and Janissek-Muniz
(2017) also point out that there are managers who make decisions individually due to their
position of power, despite an established structured intelligence process in the organization.
Informational conditions
The emergence of the currently available information volume is one of the most relevant issues
about the need to implement intelligence processes (Fachinelli, Giacomello, Rech, & Bertolini,
2013). Strategic information must be properly recognized and distributed in order to facilitate
decision-making and deliver results (Marchand & Hykes, 2007). Information distribution
formats should be developed according to the needs of the company and the receivers (Rios &
Janissek-Muniz, 2014), because when the structure and the planning of dissemination are
inadequate, they can impoverish the circulation of intelligence products and reduce confidence
in the process (N. Lesca et al., 2015).
The adoption of strategic scanning process should respond to the need of capturing, sharing and
analyzing information related to the current state and the evolution of the socioeconomic
environment (N. Lesca & Caron-Fasan, 2008). The necessity of adopting the process can be
related to understanding the environment, solving a specific problem, or timely information for
decision making, which characterizes the reactive mode (N. Lesca & Caron-Fasan, 2008; N. Lesca
A. Cainelli, R. Janissek-Muniz 8
OPEN ACCESS
et al., 2015). Adoption may also be related to the need to explore the environment proactively,
allowing the organization to address imminent dangers or possible opportunities, setting the
anticipatory mode (Brouard, 2007; Gilad, 2016; H. Lesca, 2003; N. Lesca & Caron-Fasan, 2008;
Soliman & Karia, 2017). Another mode is proposed by Janissek-Muniz (2004) when introducing
the provocation of information as a complementary way of obtaining pertinent information
through information generation, aiming at the establishment of collaborative channels.
Technological and material conditions
Although all forms of monitoring involve the search and use of information about the
environment, supported or not by technological tools, the intelligence process can be
complemented through digital platforms or based on a combination of tools for each of its stages
(Baumard, 1997; Belmondo, 2008; Rios & Janissek-Muniz, 2014). Technological solutions are
relevant and can enhance the ability to appropriately manage information flows, with an
infrastructure to support decision-making and the communication stage within the intelligence
process (Calof & Wright, 2008; Marchand, Kettinger, & Rollins, 2001). On the other hand,
intelligence platforms acquired by the organization are often expensive and underexplored by the
teams (Bartes, 2013).
There is also the time factor related to the environmental monitoring process planning,
considering that strategic information should arrive at the appropriate time for decision-making
(H. Lesca, Cavalade, Darves, & Deck, 1995). More recent studies, such as Janissek-Muniz (2016)
and N. Lesca, Caron-Fasan, Aguirre and Chalus-Sauvannet (2015), indicate that the urgency to
receive the intelligence products, the information overload during the process of collecting and
the sorting for relevant information are other critical factors related to the time involved in the
task.
Intelligence Diagnostic Tools
When results are obtained from diagnosis, they can provide the necessary motivation in the
structuring and continuity of the intelligence process (H. Lesca et al., 1995), because diagnostic
tools help raise awareness about monitoring practices and help expose their use, indicating where
to focus efforts and resources to improve or shape the intelligence process (Brouard, 2007). In
this sense, H. Lesca, Cavalade, Darves and Deck (1995) conducted one of the first studies to
suggest a diagnostic tool for the intelligence process that helps smaller companies understand if
they actually monitor their environment, what is the status of the activity and how they can
improve it. The approach to monitoring has an anticipatory bias called prospective
environmental scanning. The tool developed by the authors FENNEC aims to deliver a global
diagnosis of the intelligence activity in a dashboard and can be applied in three situations: when
there is already awareness of the need to monitor the environment; when top management
executives wish to develop and monitor their progress on a regular basis; and, additionally, to
provoke a rupture in the level of executive consciousness, sensitizing them to and raising interest
in the potential of environmental scanning (H. Lesca et al., 1995).
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 9
OPEN ACCESS
Marchand, Kettinger and Rollins (2001) propose an Information Orientation (IO) framework, a
different diagnostic model developed to determine the level of effective information use by
organizations and to identify areas where there could be improvements and consequently an
increase in the level of intelligence process effectiveness. This can be noticed in companies that
have reached maturity in the strategic use of information, aligning people, processes and
technology practices with their business strategies, gaining competitive advantage and future
leadership. This model allows these companies to be aware of their abilities to collect and share
information in order to proactively participate in events not yet consolidated in the market
(Marchand et al., 2001).
In another study, Brouard (2007) discusses the need to raise awareness of the intelligence process
in organizations. The author argues that every company needs to know the status of its
intelligence practices, so that it can be improved. Without evaluation, organizations cannot
identify or focus on activities that require their attention to achieve established goals. In this
sense, evaluating intelligence practices allows the organization to compare its real condition and
the desired condition to direct activities and prioritize determinant actions. In his model,
Brouard (2007) argues that the desired condition may be an ideal state based on the best practices
or based on the association between strategic intelligence activities and specific organizational
needs. The system proposed by the author evaluates four leading indicators of environmental
scanning: types (technological, commercial, competitive, and social), context (structure, culture,
management, and resources), organization (conduction, formalization, frequency, integration,
diversification, intensity, and ethics), and process (cycle, planning, collection, analysis,
dissemination, and evaluation).
In order for the intelligence process to become a continuous activity, Bartes (2013) reinforces the
importance of creating appropriate human, organizational and material conditions for its
development. He proposes a step-by-step diagnostic approach to its adoption in companies. As a
premise, the author suggests considering who the recipients of the future area of intelligence will
be, in order to define the level of importance and contribution that this area will have for the
company. With these top management needs well-defined, the author details procedures for
adopting the intelligence process. He suggests a methodological procedure inside and outside the
organization: to set goals or indicators to evaluate the results of actions undertaken, to define
projects or studies that will be delivered, to establish procedures for the implementation of the
results of projects or studies, to define a feedback mechanism based on the results of the area,
and to outline possible forms of cooperation with external organizations.
Gilad (2016) argues that understanding the difference between business needs and practices is
imperative before an effective intelligence process is designed but points out that organizations
often ignore this stage. From his corporate experience, the author recognizes that there are several
critical elements to an effective intelligence process, and suggests anticipative procedures: to
differentiate tactical information from strategic information needs for key executives; to map the
existing flow of information into the organization by a network of informal experts; to determine
key decision confluences where the intelligence professional must provide inputs to prevent losses
or identify opportunities early enough to take advantage of them; to determine crucial meetings
A. Cainelli, R. Janissek-Muniz 10
OPEN ACCESS
or planning committees to which the intelligence professional must have access; to establish an
educational procedure so that all new or newly promoted executives can receive training on
understanding and using strategic information; to assess patterns of intelligence use across
multiple management layers; and to continuously reevaluate the process. Therefore, Gilad (2016)
proposes a Motivation Test for Competitive Intelligence, since the motivation behind the
intelligence process creation is a good indicator of its future, cost, and effectiveness. The
questionnaire advises the organization to decide about initiating the intelligence process by
evaluating whether it is worth spending time and effort or not.
In its global intelligence research, Strategic and Competitive Intelligence Professionals [SCIP]
(2017) uses a questionnaire to understand intelligence practices around the world. The tool
intends to offer an overview of who the professionals are, what they are doing and for whom they
are doing intelligence. The instrument analyzes many aspects, such as structure and organization,
focus, sources of information used, analytical techniques, communication methods, activity
management, evaluation and innovation. As a diagnostic tool, results may indicate improvements
in weak areas or opportunities to be explored. SCIP recommends that a look at the previous stage
is fundamental to the continuity of the process, and a look at the latter stages reinforces the value
and contributions of the area to the company.
As evaluative instruments, all six tools developed by the cited authors present, in their own way,
questions related to the evaluation of organizational, individual, informational, technological and
material conditions for adopting a structured intelligence process (Table 1).
Table 1
Diagnostic tools to evaluate the intelligence process
Article
Authors
Description
Fennec: a dashboard to evaluate environmental scanning within
businesses
H. Lesca et al.
(1995)
Questionnaire with open and
closed questions
Making the invisible visible: how companies win with the right
information, people, and IT
Marchand et al.
(2001)
Information Orientation
Framework (IO)
Development of an expert system on environmental scanning
practices in SME: tools as a research program
Brouard (2007)
Prototype diagnostic system with
headlights
The process of implementing competitive intelligence in a company
Bartes (2013)
List of procedures
Motivation test for competitive intelligence
Gilad (2016)
Set of open questions
SCIP questionnaire
SCIP (2017)
Set of open and closed
questions
The diagnosis proposed by H. Lesca et al. (1995) and the SCIP questionnaire (2017) can be
considered complete forms, since they comprise most of the pre-adoption conditions reported in
the literature. However, the tools are not intended to explore the pre-adoption stage, but rather
the activity itself, concerning questions to verify the degree of maturity, structuring, and the way
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 11
OPEN ACCESS
that organizations are conducting the intelligence process. The models by Marchand et al. (2001)
and Brouard (2007) include some diagnostic questions, but they are combined with questions
related to conducting the activity. The proposals by Bartes (2013) and Gilad (2016) can be
considered diagnostic examples, with the potential to be applied in the pre-adoption phase, and
emphasize organizational readiness to receive the intelligence process. However, none of these
models encompass all the conditions listed in the literature, which may leave gaps in the
evaluation of some issues considered relevant.
Methodology
Exploratory research was conducted through a sequence of three qualitative methods to
understand which conditions should be investigated in the pre-adoption phase of a structured
intelligence process. The first qualitative method was a content analysis, conducted on the
theoretical-conceptual reference of this research and on the diagnostic models raised in order to
identify the presence or absence of a given content or a set of characteristics in a given content.
Considering the steps of content analysis proposed by Bardin (1994) overview on data, data
categorization and grouping, and finally treatment of the obtained results it was possible to
interpret and make propositions according to the previously formulated goal of identifying the
conditions involved in the pre-adoption stage of the intelligence process that must be evaluated
through a diagnostic tool.
In the second step of the analysis, such conditions were validated by applying a card-sorting
technique, a qualitative and iterative process that indicates the reliability of constructs through
relationships confirmed by the participants (Nahm, Rao, Solis-Gavan, & Ragu-Natan, 2002).
Through the online platform OptimalSort, cards were presented with information already labeled
in a numbered list with the main conditions (ORG organizational, IND individual, INF
informational, TCM technological/material, SIP structured intelligence process), so that they
could be matched with another list with the descriptions (Table 3). The participants eight
intelligence experts, including postgraduate students and field professionals were invited to
make combinations through cards (conditions) and descriptions. The results were analyzed and
compared (Table 3) in order to identify a pattern of similarities among the responses and also to
validate the conditions with the given descriptions (Faria, 2010).
Finally, in last step of the analysis, 30 professionals from the intelligence field (Table 4) were
consulted and two rounds of Delphi technique were conducted in order to reach to a final set of
conditions (Table 5) that they believe must be investigated before the adoption of a structured
intelligence process and whose evaluation can indicate higher possibility of success and activity
sustainability in organizations. Each round took up two weeks (March/April 2018), when the
same participants were requested to review their positions and re-fill the questionnaire from the
feedback received.
Twenty-eight statements composed the instrument of the Delphi rounds with a broad description
of the pre-adoption conditions validated in the previous step of card sorting. The affirmations
were given with an agreement Likert scale ranging from 1 to 5 points. For each block of statements,
A. Cainelli, R. Janissek-Muniz 12
OPEN ACCESS
respondents had the opportunity to comment on their individual experiences about the given
condition. In the second round of Delphi, only the statements that did not reach 80% of agreement
in the first round (Hsu & Sandford, 2007) were reevaluated by respondents, but at this time they
were followed by the main arguments and experiences shared by the group in the first round.
The definition given by Delphi respondents considered their experience and involvement with
the subject under investigation (Hsu & Sandford, 2007; Wright, Silva, & Spers, 2010). The
respondent’s identities were kept anonymous during the rounds, so that there was no influence
of opinion among the members of the group. Thirty professionals were invited through social
networks (LinkedIn and Facebook), among managers and senior analysts from Brazilian
companies (technology, pharmaceuticals, financial institution, education, logistics, market
research, hospital and public sector) with structured areas of intelligence, intelligence consultants,
professors and students with a focus on intelligence studies (Table 4).
Results
The content analysis was determinant to building a framework (Table 2) of the conditions that
must be evaluated before a structured intelligence process is adopted. From this first analysis, we
identified organizational, individual, informational and technological/material conditions.
Regarding the organizational reality, the pre-adoption conditions identified were related to
strategic planning, organizational culture, planning and knowledge about the task, team support,
senior management engagement and leadership involvement in the intelligence process.
Individual conditions were linked to personal abilities, such as information sharing, engagement,
specific profile and skills to properly conduct the intelligence activity. The informational
conditions were related to scanning needs, environmental anticipation and external and internal
management of the volume of information about the organization. Finally, pre-adoption
conditions linked to technological and material issues involved the preliminary understanding of
the infrastructure and time required for intelligence tasks.
Table 2
Pre-adoption framework of the structured intelligence process
Elements to be evaluated
Literature
1) Strategy
The intelligence process should be part of the organization strategic planning
Gilad and Gilad (1985); Choo (2003);
Marchand and Hykes (2007); Xu and
Kaye (2009); Bartes (2013); N. Lesca
et al. (2015); Luzipo, Van Biljon and
Herselman (2015); Janissek-Muniz
(2016); Jaharuddin, Dato’Mansor and
Yaakob (2016); Almeida et al. (2016);
Almeida and Hirata (2016).
2) Culture
Information-driven culture stimulates the innovation process, market
differentiation and increase competitiveness.
3) Planning
The intelligence process must consider objectives, definitions and resources
limitations.
Continues
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 13
OPEN ACCESS
Table 2 (continued)
Elements to be evaluated
Literature
4) Support and
commitment
Support from top management, training, and user commitment are predictors
of the intelligence process adoption.
Gilad and Gilad (1985); Choo (2003);
Marchand and Hykes (2007); Xu and
Kaye (2009); Bartes (2013); N. Lesca
et al. (2015); Luzipo, Van Biljon and
Herselman (2015); Janissek-Muniz
(2016); Jaharuddin, Dato’Mansor and
Yaakob (2016); Almeida et al. (2016);
Almeida and Hirata (2016).
5) Leadership
The organization must legitimize a leader or a committee responsible for
conducting the implementation of the intelligence process.
Elements to be evaluated
Literature
1) Sharing
The sharing of knowledge among people within the company should be a
feature of the structured intelligence process to encourage diversity of
interpretation and vision of the future.
Gilad and Gilad (1985); Choo (2003);
Marchand and Hykes (2007); N.
Lesca and Caron-Fasan (2008); Xu
and Kaye (2009); Jalaldeen, Karin
and Mohamed (2009); Mayer (2012),
Bartes (2013); N. Lesca et al. (2015);
Janissek-Muniz (2016); Borges and
Janissek-Muniz (2017).
2) Profile
An adequate personal profile and specific skills are needed for the
implementation and conduction of the intelligence process.
3) Individual
knowledge
There must have personal willingness and commitment of managers and
staff that justifies having the intelligence process, a positive attitude toward it,
and the awareness that the process is relevant for the company.
Elements to be evaluated
Literature
1) Anticipation
The need for intelligence processes can be related to the need for exploring
the environment proactively, allowing the organization to address imminent
dangers or possible opportunities.
H. Lesca (2003); Janissek-Muniz
(2004); Marchand and Hykes (2007);
Brouard (2007); N. Lesca and Caron-
Fasan (2008); N. Lesca et al. (2015);
Gilad (2016); Janissek-Muniz (2016);
Soliman and Karia (2017).
2) Scanning
The need for intelligence processes can be related to understanding the
environment, solving a specific problem, or timely information for decision
making.
3) Dissemination
Inadequate dissemination structure and planning can impoverish the
circulation of intelligence products and reduce confidence in the process.
4) Volume
The information volume currently available is one of the most relevant issues
about the need to implement intelligence processes.
Elements to be evaluated
Literature
1) Infrastructure
Technological solutions are relevant and can enhance the ability to
appropriately manage information flows.
Baumard (1997); Marchand et al.
(2001); Belmondo (2008); Calof and
Wright (2008); Bartes (2013); Rios
and Janissek-Muniz (2014); N. Lesca
et al. (2015); Janissek-Muniz (2016).
2) Time
Strategic information should arrive at the appropriate time for decision-
making.
A. Cainelli, R. Janissek-Muniz 14
OPEN ACCESS
Card sorting was conducted to validate the conditions and elements identified in this framework
and the inherent conditions of the structured intelligence process (SIP). The respondents had to
organize the cards in a way that, in their opinion, made up the same set. The agreement rate was
calculated, and the results were classified according to the Kappa coefficient (Nahm et al., 2002),
as shown in Table 3.
Table 3
Card sorting results
Conditions and elements
Agreement rate
Kappa coefficient
ORG (Culture)
89%
Excellent (percentage agreement higher than 76%)
ORG (Planning)
78%
IND (Individual knowledge)
78%
INF (Anticipation)
78%
INF (Volume)
78%
TCM (Infrastructure)
89%
SIP (Arrangement)
78%
SIP (Continuity)
89%
ORG (Strategy)
67%
Moderate (percentage agreement between 75% and 40%)
ORG (Support and commitment)
56%
ORG (Leadership)
67%
IND (Sharing)
56%
IND (Profile)
56%
INF (Scanning)
67%
INF (Dissemination)
67%
TCM (Time)
44%
SIP (Formalization)
67%
-
-
Poor (percentage agreement lower than 39%)
After evaluating the results, conditions with excellent Kappa coefficient validated the proposed
element descriptions. Conditions with moderate Kappa coefficient showed ambiguous relations,
indicating that these elements descriptions should be reformulated to improve the understanding
of them. After refining the descriptions, a list of statements (Table 5) was organized to compose
the instrument of the next data collection step, the Delphi questionnaire (Appendix).
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 15
OPEN ACCESS
Overall, 30 professionals answered the first and second round of the Delphi, as described in
Table 4. Wright, Silva, and Spers (2010) have indicated that a number between 15 and 30
respondents is representative, enough to generate relevant information.
Table 4
Delphi respondentes
Occupation
Number of participants
CIO or manager
8
Intelligence freelancer or consultant
7
Intelligence senior analyst
7
Intelligence graduate student
5
Intelligence researcher or professor
3
Regarding the organizational pre-adoption conditions, the most important information pointed
out by respondents is defining process objectives in advance. They also believe that when the
intelligence area or function is considered part of the organization’s strategic planning, the
activity is enhanced, which is an essential factor to be considered before its implementation. On
the other hand, respondents recognize that in practice, the first results produced from the area
justify and strengthen its strategic aspect, especially for higher hierarchical managers, recognized
as the great beneficiaries of the activity. As to organizational structure, the decentralized model
seems to make sense for the participants: more important than having a specific area, is to
stipulate beforehand who will be involved in the process and which will be the roles and
responsibilities of each one. Although they recognize that it is important to have a specific budget
for the activity, some respondents highlighted the fact that the process can start just with available
data, but it is relevant to be aware of costs for demands that may show up over time. Another
condition mentioned is the information-driven culture, which facilitates the conduction of the
process, but is not a determining factor before its adoption. However, it was recognized that when
information has strategic value within the organization, the intelligence process is more likely to
be adopted. Regarding the people involved in the process recognized by participants as core
agents for its progress they must have as their main attributions to promote, develop, and
reinforce the intelligence culture within the company. In this sense, it is desirable to appoint a
committee, a team or a workgroup of people in charge, who are aligned and motivated to promote
it in the company, without necessarily initiating the process. The respondents’ practical
experience indicates that the initial commitment of top management and leaders is instead a
fundamental point to initiate the intelligence process in organizations and to raise awareness
about its relevance.
Concerning the individual pre-adoption conditions, respondents recognize some fundamental
characteristics related to the person’s profile involved in intelligence activities that may affect
process success. Some skills, such as motivation and curiosity to learn, the spirit of sharing and
A. Cainelli, R. Janissek-Muniz 16
OPEN ACCESS
analytical ability, stood out much more than a specific need for technical training to perform the
activity. It is worth mentioning that some respondents recognize that specific training on
intelligence topics should be a professional prerequisite, since the absence of this knowledge may
cause gaps in the process. However, they admit that the shortage of educational courses related
to intelligence in Brazil is one of the main reasons why the activity is learned from practice.
Regarding the channels for obtaining information, informal sources composed of personal
relationships seem to be essential and complementary to formal sources of intelligence and can
generate insights for future ideas.
It is crucial for the intelligence professional to have the ability to go through informal
conversations, form networks, and exchange experiences to extract pertinent information when
necessary. Considering the individual behavior inside organizational staff, it is important to
reinforce how company employees can also collaborate for the intelligence process in order to
build trust and synergy in information exchange. This awareness can be built over time, when
the process is already installed. As deliveries are made, the internal contribution with the
intelligence area enhances. For respondents, consciousness, knowledge, and willingness to adopt
the process are important, but not decisive in the stage that precedes the implementation of the
structured intelligence process.
Pre-adoption conditions related to technology had the lowest degree of agreement among
specialists. Apparently, it would be possible to succeed in the intelligence area with a basic
technological infrastructure, which includes a good computer, internet access and Microsoft
Office applications, for example. Depending on the monitoring scope and the human resources
available, outsourced services may be necessary, mainly to accelerate data collection and to reduce
engagement in operational steps, in order to prioritize the analysis step, which requires higher
human performance. These considerations are more related to the conduction of the intelligence
process than elements that should be evaluated in the pre-adoption phase. The prior definition
of the time required for each stage of the intelligence process was considered important, but not
decisive for process adoption, as many other factors influence this variable, such as availability,
scope, and resources. Respondents admit that before defining these three issues, it may be
interesting to run a complete intelligence cycle to have a more realistic perception of the time
required for each step of the process. On the other hand, one of the respondents emphasizes that
temporal planning is fundamental, so that the sense of opportunity is not lost while the
intelligence process is being executed.
The respondents’ understanding of pre-adoption conditions related to the structured intelligence
process is evident. With excellent results in the first round of Delphi, there is a high agreement
that ideally the activity must be continuous, formalized and organized to be considered a
structured process. However, in general, practitioners recognize that the intelligence process is
conducted in a discontinuous or disorganized way (organizations only perform part of the
process), and they understand that it is necessary to disseminate concepts to enhance the
continuity and sustainability of the process within the organization. Corroborating this idea, the
respondents argue that monitoring routine should be systematic, as it allows the identification of
problems and opportunities while maintaining the anticipatory focus and the recognition of weak
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 17
OPEN ACCESS
signals in the environment. In their perspective, it means that the lack of continuity in the
intelligence activity may imply significant informational losses, since the high frequency of ad hoc
requests, or unplanned tasks, weakens the continuity of the strategic scanning if it happens too
often. It is true that some situations require punctual glances and specific depth, much more
tactical than strategic. However, the participants agreed that this should not be the main activity
of intelligence, as it generates disorganization and inefficiency in the process, reducing the
strategic nature and analytical capacity of the area.
To summarize the results, Table 5 presents the agreement scores about the statements given to
the participants in the questionnaire of the two Delphi rounds.
Table 5
Agreement of the conditions investigated
Questionnaire statements
1st
Delphi
2nd
Delphi
Agree-
ment
ORG (Strategy) - Before adopting a structured intelligence process, the organization must
consider it as an important part of its strategic planning.
88%
-
YES
ORG (Culture) - Before adopting a structured intelligence process, the organization must have
an information-driven organizational culture.
73%
72%
NO
ORG (Planning) The adoption of the structured intelligence process requires a prior definition
of objectives.
85%
-
YES
ORG (Support) - The adoption of the structured intelligence process requires a prior definition
of the organizational structure that will be involved in it.
75%
91%
YES
ORG (Support) - The adoption of the structured intelligence process requires a prior definition
of the financial resources that will be spent in its execution.
69%
59%
NO
ORG (Commitment) - Before adopting a structured intelligence process, the organization must
establish a committee, team or working group of people in charge, aligned and motivated to
carry out the process in the organization.
61%
78%
NO
ORG (Support) Prior top management support is decisive for the adoption of a structured
intelligence process.
97%
-
YES
ORG (Leadership) - The structured intelligence process must define, in advance, leaders
designated and legitimized by the organization.
90%
-
YES
IND (Sharing) - The sharing of knowledge is an essential personal skill of the intelligence
professional.
90%
-
YES
IND (Profile) - Owning and using informal or individual channels is an essential personal skill of
the intelligence professional.
76%
86%
YES
IND (Profile) - Motivation to learn about relevant business environments is an essential
personal skill of the intelligence professional.
96%
-
YES
IND (Profile) - Specialized technical education is an essential prerequisite for hiring intelligence
professionals.
56%
57%
NO
Continues
A. Cainelli, R. Janissek-Muniz 18
OPEN ACCESS
Table 5 (continued)
Questionnaire statements
1st
Delphi
2nd
Delphi
Agree-
ment
IND (Knowledge) - Employees must be previously aware that the organization will adopt a
structured intelligence process.
68%
71%
NO
IND (Knowledge) - Employees must know what a structured intelligence process is before its
adoption by the organization.
52%
62%
NO
IND (Knowledge) - Employees must be willing to adopt a structured intelligence process before
its adoption by the organization.
58%
77%
NO
IND (Knowledge) - Employees must recognize the relevance of a structured intelligence
process before its adoption by the organization.
61%
83%
YES
INF (Scanning) A prior need for exploring external informational flows is fundamental in order
to adopt a structured intelligence process.
93%
-
YES
INF (Anticipation) A prior need of proactively exploring the environment (in order to anticipate
opportunities and imminent risks) is fundamental in order to adopt a structured intelligence
process.
88%
-
YES
INF (Dissemination) - E-mails, reports, and dashboards are enough as structures for
intelligence dissemination.
34%
43%
NO
INF (Volume) - The volume, variety, and speed of information currently available (Big Data)
influence the adoption of a structured intelligence process.
64%
48%
NO
TCM (Infrastructure) It is necessary to provide specific platforms and tools before adopting a
structured intelligence process.
36%
34%
NO
TCM (Infrastructure) Before adopting a structured intelligence process, the organization must
hire outsourced information gathering services.
34%
24%
NO
TCM (Infrastructure) - Before adopting a structured intelligence process, the organization must
provide technological infrastructure support.
36%
29%
NO
TCM (Time) - Before adopting a structured intelligence process, the organization must define
the appropriate time for each stage of the process (planning / collection / analysis /
dissemination / evaluation).
51%
43%
NO
SIP (Continuity) - The structured intelligence process should be an ongoing task.
97%
-
YES
SIP (Continuity) - The structured intelligence process should NOT be conducted with ad hoc
requests most of the time.
56%
81%
YES
SIP (Arrangement) - The structured intelligence process must fulfill a set of well-defined steps
(planning / collection / analysis / dissemination / evaluation).
93%
-
YES
SIP (Formalization) - The structured intelligence process must have routines of problem
recognition and opportunity monitoring.
85%
-
YES
In summary, given the agreement rates from Delphi rounds, a range of questions was proposed
to the pre-adoption diagnosis in order to evaluate conditions before the intelligence process is
adopted in organizations. Data is arranged sequentially in a list presented in Table 6 to answer
this research’s objective.
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 19
OPEN ACCESS
Table 6
Pre-adoption diagnostic script of the structured intelligence process
Conditions
Questions
Organizational
Does the organization consider adopting a structured intelligence process as part of its strategic
planning?
Does the organization's senior management support the adoption of a structured intelligence
process?
Do the organization's main leaders support the adoption of a structured intelligence process?
Do key decision-makers want to make decisions based on the intelligence produced?
Is the organization aware of the goals it wants to achieve by adopting a structured intelligence
process?
Have intelligence activities been already defined?
Will intelligence activity be centralized (with an intelligence area) or decentralized (with people in
charge of intelligence activities in other areas of the organization)?
Is there a person designated as the intelligence process leader, responsible for conducting the
implementation of the intelligence process?
Is the team that will be involved in the organization's intelligence process already defined?
Are the roles and responsibilities of each of these people already defined?
Individual
Does the person who is going to take over the intelligence role or activity have skills like
motivation and curiosity to learn, information sharing and analytical ability?
Does the person who is going to take over the intelligence role or activity have relational skills to
transit through informal conversations to form networks and exchange experiences?
Do people in the organization understand the relevance of a structured intelligence process?
Do people in the organization understand that their contribution to obtaining, sharing, and
analyzing information matters?
Informational
Does the organization recognize that there is a necessity to explore information flows from the
organization's external environment?
Does the organization want to monitor the external environment to identify threats in an
anticipatory way?
Is there any information or target map (with actors and themes) that need to be monitored?
Is there a plan of how the intelligence dissemination will be organized, relating formats, contents,
channels, and receivers?
Is there a plan of how the information related to the intelligence process will be managed?
Structured
intelligence process
Do the organization and the people involved understand the relevance of a structured
intelligence process?
Do the organization and the people involved understand the importance of the continuity of the
intelligence activities?
Do the organization and people involved understand that the high frequency of ad hoc demands
can reduce the strategic objective of the intelligence process?
Do the organization and the people involved understand the importance of completing all stages
of a structured intelligence process (planning, gathering, analysis, dissemination, evaluation)?
Do the organization and the people involved understand that the structured intelligence process
must include monitoring routines for systematic recognition of problems and opportunities that
emerge from the external environment?
A. Cainelli, R. Janissek-Muniz 20
OPEN ACCESS
Using the suggested diagnostic script, organizations are expected to explore the organizational
and human conditions that allow the recognition of strengths and weaknesses to accomplish the
intelligence process, aiming at structuring or implementing it. When applied with open-ended
questions as a base to a small sample of employees and decision-makers from the same company,
the questionnaire provides more significant insights into the challenges that need to be overcome
and improved to achieve the goal of setting a structured intelligence process. When applied
quantitatively, for a larger sample of people from the same organization, the result of the
proposed questionnaire allows generating indicators that can be periodically evaluated in a survey
application. In both ways, the objective will be reached, since it will allow mapping, to a greater
or lesser extent, the issues that require attention, discussion and/or definition of actions for
implementation or better structuring of the intelligence process.
Discussion
Due to the scarcity of evaluative models present in the literature and the relevance of this previous
step pointed by some authors (Brouard, 2007; Gilad, 2016; Herring, 1999; H. Lesca, 2003; Iden
et al., 2017; Janissek-Muniz, 2016; N. Lesca et al., 2015), it was necessary to seek guidance from
experts and professionals in the intelligence market in order to gain a working knowledge of the
relevant conditions that organizations need to consider before adopting a structured intelligence
process. Given the conditions found in this review, the opinion of practitioners (thirty
professionals from intelligence areas of several industries in Brazil) was exploited in the two
rounds of Delphi to validate the literature findings and to understand what should be evaluated
before the intelligence process is adopted in organizations and what motivates companies to start
it. Employing Delphi in this study has allowed an enriching approach to capture ideas from a
group of experts and researchers with high knowledge and experience in the organizational
intelligence field.
Organizational pre-adoption conditions had the highest agreement rates among respondents. As
Luzipo et al. (2015) point out, the support of top management is a strong predictor for the
adoption of a process, and this factor is also specifically highlighted for the structured intelligence
process. Since the key decision-makers in an organization understand the strategic value that the
activity can generate, they provide the necessary support for its set-up and continuity. Therefore,
there must be, a priori, the desire of the organization and the top management to make decisions
based on information, collected and interpreted from a structured intelligence process. Likewise,
the prior choice of a leader for the intelligence process, referred to as an animator by H. Lesca
(2003, p. 21) and Janissek-Muniz (2016), is recognized as a central player in the stage that precedes
the adoption. This person is responsible for motivating and sensitizing employees on the
relevance of the process, promoting the organizational culture focused on sharing information,
defining those responsible for the routines, identifying the informational needs and planning the
organizations intelligence activities.
In turn, conditions that involve individual pre-adoption conditions became more evident when
related to specific skills of the people who were conducting the intelligence process. In this sense,
the main contribution of this research was a list of characteristics that should be previously
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 21
OPEN ACCESS
recognized in the human resources involved in the activity. It doesn’t mean that all characteristics
must be found in one single person, but these skills must be considered when building and
developing an intelligence team. It can be considered kind of anticipative preparation, as
mentioned by Bartes (2013), when it is necessary to review the qualification of the team working
on intelligence projects, such as cognitive style, curiosity and capacity of sharing and gathering
information from formal or informal sources, as mentioned by the respondents of this research.
When exploring the informational pre-adoption conditions, the need to manage the external
information flows emerges as a strong influence on the decision to institute an intelligence
process. The individual awareness of the leaders and the employees’ comprehension that it is
possible to identify opportunities and threats that arise in the external environment must be
diagnosed among key decision-makers and future consumers of the intelligence that will be
produced. This is crucial to produce value-added information and support strategic decisions, key
issues to maintaining a sustainable competitive advantage, as mentioned by Choo (1999) and
Tarapanoff (2006).
The need for technological infrastructure does not appear as a determining condition before the
adoption of the intelligence process, but once it is already implemented, platforms and software
can be relevant as the information management needs arise. In this sense, Big Data is recognized
as an additional source of information that needs to be managed and mined by technology to
help build the intelligence deliveries. Temporal planning for the intelligence activity was not
identified as a predictor condition to be evaluated since this can be adjusted as the cycles are
performed.
Despite the strong comprehension among respondents about what a structured intelligence
process should be (recognized by them as a continuous, organized and formalized process),
unplanned requests for information gathering still permeate company reality and may undermine
the strategic performance of the area. The intelligence process is acknowledged to be dynamic,
and unplanned requests may occur, but there must be internal awareness of how much strategic
information is lost when the activity is conducted in an unstructured and discontinuous way
through frequent ad hoc deliveries.
Given that disorganized intelligence practices are still acknowledged in companies (Borges &
Janissek-Muniz, 2017), the evaluation of the suggested conditions in the proposed diagnostic
script can help to plan the adoption of the intelligence process, to raise awareness of the people
involved or to improve the conduction of activities which are already in progress. It is important
to emphasize that, as pointed out by the respondents, the intelligence process is often
implemented without prior planning and that the evaluation of these conditions could enhance
the activity adoption and conduction by indicating the necessary adjustments. This anticipative
evaluation is an excellent indicator of the needs to reach maturity in the intelligence process and
is a great predictor of the future success of the activity. In fact, this evaluation enables the
organization to improve organizational and individual capabilities in order to perform better,
since it allows designing structures and processes that direct the firm towards continuous
improvement, innovation and change (Marino, 1996).
A. Cainelli, R. Janissek-Muniz 22
OPEN ACCESS
Conclusions
The elements of the intelligence process identified in the Information Systems literature review,
in the Strategic Intelligence literature perspective and in the intelligence diagnostic models raised
in this work provided the theoretical background to compose a pre-adoption framework for the
structured intelligence process, since much of the literature does not focus on identifying what
motivates the adoption of a structured intelligence process (Iden et al., 2017; N. Lesca et al.,
2015).
In fact, rare are the authors who have bothered to investigate this previous step in depth, to
understand what are the external and internal conditions that motivate the adoption of the
intelligence process. Most papers found in literature deal with issues related to use, methods and
outcomes, as contributions of the process (Iden et al., 2017). Still, when looking at the few
evaluative models found in the literature, it is clear that most of them deal with issues related to
the practice of the intelligence process, but not specifically to the previous stage, when human
and organizational conditions need to be evaluated and provided in order to enhance the chances
of success of the activity in the future (Gilad, 2016). Moreover, and because models are mostly
practice-based, their construction lacks the theoretical support or basis underlying the structuring
of instruments based on scientific research results.
In general, the proposed diagnostic script fills a theoretical gap by presenting a consolidated tool
that encompasses all the conditions raised in this study. The questions allow mapping
organizational and individual issues that can be developed to increase the chances of success and
maintenance of the intelligence activity and indicate improvements to be made and opportunities
to explore in the area. After all, the more structured the intelligence process is, the more it can
generate competitive advantage for organizations (N. Lesca & Caron-Fasan, 2008).
It is also important to highlight that the objective of this work was not to discuss ways to measure
the results generated by the questionnaire, but even so, some qualitative and quantitative paths
were pointed out. This discussion deserves deepening in future research, as well as the application
of the questionnaire in specific industry segments to identify complements and even inadequacies
regarding questions.
Another suggestion is to evaluate the impact of each variable of the proposed pre-adoption
framework to understand which condition has the most significant impact on the structuring of
the intelligence process. It is also understood as a limitation of the study, that many issues were
evaluated at the same time through Delphi rounds. Despite having good adherence, another
point that can be considered as a limitation is that the questionnaire was quite long and some
participants failed to give opinions due to the time it took to answer it. Further, evaluating each
of the conditions in separate surveys would provide more productive and more specific accounts.
In addition, a larger number of respondents and a broader field of industries could further enrich
shared experiences.
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 23
OPEN ACCESS
Also, considering the lack of evaluative models in the specific intelligence literature, other
diagnostic tools, from other areas of knowledge, can be used to compose new investigative
approaches. From another point of view, it is also recommended that studies using the diagnostic
models mentioned in this research can be analyzed to understand how these tools were applied
and what results and complementary discussions they generated.
References
Aguilar, F. J. (1967). Scanning the business environment. New York, NY: MacMillan.
Almeida, F. C. de, & Hirata, P. (2016). Entendendo e implantando um sistema de inteligência competitiva. Revista
de Gestão, 23(2), 111-122. https://doi.org/10.1016/j.rege.2014.12.001
Almeida, F. C. de, Lesca, H., & Canton, A. W. P. (2016). Intrinsic motivation for knowledge sharing - Competitive
intelligence process in a telecom company. Journal of Knowledge Management, 20(6), 1282-1301.
https://doi.org/10.1108/jkm-02-2016-0083
Andriotti, F. K., Freitas, H., & Janissek-Muniz, R. (2008). Informação informal e a monitoração do ambiente
organizacional: Reflexões e sugestões para a área de TI. Anais do Prêmio de Inovação em Inteligência Competitiva
ABRAIC, Brasília, DF, Brazil, 3.
Bardin, I. (1994). Análise de conteúdo. Lisboa, Portugal: Edições Setenta.
Bartes, F. (2013). The process of implementing competitive intelligence in a company. Acta Universitatis Agriculturae
et Silviculturae Mendelianae Brunensis, 61(4), 861-866. https://doi.org/10.11118/actaun201361040861
Baumard, P. (1997). L'information stratégique dans la grande organisation. Systèmes d'Information et Management
[French Journal of Management Information Systems], 2(2), 5-29. http://dx.doi.org/10.9876/sim.v2i2.24
Belmondo, C. (2008). Comprendre les pratiques des acteurs de l’intelligence économique: Une étude des micro-
activités de représentation de l’environnement concurrentiel et d’organisation de la veille. Systèmes d’Information
et Management, 13(3), 83-107. https://doi.org/10.3917/sim.083.0083
Borges, N. M., & Janissek-Muniz, R. (2017). The environmental scanning as an informal and individual practice in
organizations. A view based on the Illusion of Control's Theory. Annales des Congrès de l'Institut Franco Brésilien
d'Administration des Entreprises, Poitiers, France, 9.
Brouard, F. (2007). Development of an expert system on environmental scanning practices in SME: Tools as a
research program. Journal of Competitive Intelligence and Management, 3(4), 37-58.
Calof, J. L., & Wright, S. (2008). Competitive intelligence: A practitioner, academic and inter-disciplinary
perspective. European Journal of Marketing, 42(7/8), 717-730. https://doi.org/10.1108/03090560810877114
Caron-Fasan, M.-L., & Janissek-Muniz, R. (2002). Pérennisation de l’intelligence collective anticipative. Colloque
AIM, Hammamet, Tunisie, 7.
Casagrande, A., Aguirre, E. L., & Vuillon, L. (2015, April). Improving strategic scanning information analysis: An
alternative measure for information proximity evaluation. International Conference on Enterprise Systems (ES), Basel,
Switzerland, 17.
Choo, C. W. (1999). The art of scanning the environment. Bulletin of the American Society for Information Science and
Technology, 25(3), 21-24. https://doi.org/10.1002/bult.117
Choo, C. W. (2001). Environmental scanning as information seeking and organizational learning. Information
Research, 7(1), 7-1.
Choo, C. W. (2003). A organização do conhecimento: Como as organizações usam a informação para criar significado, construir
conhecimento e tomar decisões. São Paulo, Brazil: Senac São Paulo.
Daft, R. L., & Weick, K. E. (1984). Toward a model of organizations as interpretation systems. Academy of
Management Review, 9(2), 284-295. https://doi.org/10.5465/amr.1984.4277657
A. Cainelli, R. Janissek-Muniz 24
OPEN ACCESS
Davenport, T. H., Harris, J. G., & Morison, R. (2010). Analytics at work: Smarter decisions, better results. Boston, MA:
Harvard Business School Press.
Davis, J. R. (2008). Does environmental scanning by systems integration firms improve their business development performance?
Largo, MD: University of Maryland University College.
Fachinelli, A. C., Giacomello, C. P., Rech, J., & Bertolini, A. L. (2013). Inteligência estratégica: Desenvolvimento
de uma escala para a compreensão do construto. Revista Brasileira de Estratégia, 6(2), 179-191.
https://doi.org/10.7213/rebrae.06.002.ao06
Faria, M. M. de. (2010). Card sorting: Noções sobre a técnica para teste e desenvolvimento de categorizações e
vocabulários. Revista Digital de Biblioteconomia e Ciência da Informação, 7(2), 1-9.
https://doi.org/10.20396/rdbci.v7i2.1953
Gilad, B. (2016, February). Developing competitive intelligence capability. Retrieved from
https://www.imanet.org/insights-and-trends/technology-enablement/developing-competitive-intelligence-
capability?ssopc=1
Gilad, B., & Fuld, L. M. (2016, January). Only half companies actually use the competitive intelligence they collect.
Harvard Business Review. Retrieved from https://hbr.org/2016/01/only-half-of-companies-actually-use-the-
competitive-intelligence-they-collect
Gilad, B., & Gilad, T. (1985). A system approach to Business Intelligence. Business Horizons, 28(5), 65-70.
https://doi.org/10.1016/0007-6813(85)90070-9
Hakansson, C., & Nelke, M. (2015). Competitive intelligence for information professionals. Whaltham, MA: Chandos
Publishing.
Herring, J. P. (1999). Key intelligence topics: A process to identify and define intelligence needs. Competitive
Intelligence Review, 10(2), 4-14. https://doi.org/10.1002/(sici)1520-6386(199932)10:2%3C4::aid-
cir3%3E3.3.co;2-3
Hsu, C. C., & Sandford, B. (2007). The delphi technique: Making sense of consensus. Practical Assessment, Research
& Evaluation, 12(10), 1-8. Retrieved from http://pareonline.net/pdf/v12n10.pdf
Iden, J., Methlie, L. B., & Christensen, G. E. (2017). The nature of strategic foresight research: A systematic literature
review. Technological Forecasting and Social Change, 116, 87-97. https://doi.org/10.1016/j.techfore.2016.11.002
Jaharuddin, N. S., Dato’Mansor, Z., & Yaakob, S. (2016). Assessing the supply chain intelligence practices of small
medium enterprises in Malaysia. Procedia Economics and Finance, 35, 515-521. https://doi.org/10.1016/s2212-
5671(16)00064-2
Jalaldeen, R., Karin, N. S. A., & Mohamed, N. (2009). Organizational readiness and its contributing factors to adopt
KM processes: A conceptual model. Communications of the IBIMA, 8, 128-136. Retrieved from
https://pdfs.semanticscholar.org/3bf1/631e88a645b578b373bab2e92bc2dd3449b6.pdf
Janissek-Muniz, R. (2004). Veille anticipative stratégique en PMI: Vers un nouvel usage des sites web pour provoquer des
informations 'terrain' afin d’amorcer des innovations; concepts, instrumentation et validation (Thèse de doctorat). Sciences
de Gestion, Université Pierre Mendès, Grenoble, France.
Janissek-Muniz, R. (2016). Fatores críticos em projetos de inteligência estratégica antecipativa e coletiva. Revista
Inteligência Competitiva, 6(2), 147-180. http://dx.doi.org/10.24883%2Fric.v6i2.159
Kahaner, L. (1996). Competitive intelligence: How to gather, analyze, and use information to move your business to the top.
New York, NY: Simon & Schuster.
Lesca, H. (2003). Veille stratégique: La méthode LESCAnning®. Caen, France: Editions EMS Management et Société.
Lesca H., Cavalade, C., Darves, F., & Deck, V. (1995). Fennec: A dashboard to evaluate environmental scanning within
businesses (Etude CERAG 95-09). Retrieved from http://www.veille-strategique.org/docs/1995-lesca-fennec.pdf
Lesca, N., & Caron-Fasan, M.-L. (2008). Strategic scanning project failure and abandonment factors: Lessons
learned. European Journal of Information Systems, 17(4), 371-386. https://doi.org/10.1057/ejis.2008.21
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 25
OPEN ACCESS
Lesca, N., Caron-Fasan, M.-L., Aguirre, E. L., & Chalus-Sauvannet, M.-C. (2015). Drivers and barriers to pre-
adoption of strategic scanning information systems in the context of sustainable supply chain. Systèmes
d'Information & Management, 20(3), 9-46. https://doi.org/10.3917/sim.153.0009
Luzipo, S., Van Biljon, J., & Herselman, M. (2015, May). Business process adoption in organizations: A case study
from an insurance company in South Africa. Proceedings of the IST-Africa Conference, Lilongwe Malawi.
Marchand, D., Kettinger, W., & Rollins, J. (2001). Making the invisible visible: How companies win with the right
information, people, and IT. London, UK: John Wiley & Sons Ltd.
Marchand, D., & Hykes, A. (2007). Leveraging what your company really knows: A process view of strategic
intelligence. In M. Xu (Ed.), Managing strategic intelligence: Techniques and technologies (pp. 1-13). Hershey, PA:
Information Science Reference.
Marino, K. E. (1996). Developing consensus on firm competencies and capabilities. The Academy of Management
Executive, 10(3), 40-51. Retrieved from https://www.jstor.org/stable/4165337
Mayer, J. H. (2012, June). Powering up companies crystal balls: Analysis of a multi-case study towards more
applicable environmental scanning systems. Proceedings of European Conference on Information Systems (ECIS),
Barcelona, Spain, 20.
Mayer, J. H., Steinecke, N., Quick, R., & Weitzel, T. (2013). More applicable environmental scanning systems.
Information Systems and E-business Management, 11(4), 507-540. https://doi.org/10.1007/s10257-012-0207-7
McGonagle, J. J., & Vella, C. M. (2002). Bottom line competitive intelligence. Westport, CT: Greenwood Publishing
Group.
Nahm, A. Y., Rao, S. S., Solis-Gavan, L. E., & Ragu-Natan, T. S. (2002). The Q-Sort method: Assessing reliability
and construct validity of questionnaire items at a pre-testing stage. Journal of Modern Applied Statistical Methods,
1(1), 114-125. https://doi.org/10.22237/jmasm/1020255360
Rios, F. L. de C., & Janissek-Muniz, R. (2014). Uma proposta de relação de requisitos funcionais para um software
de apoio ao processo de inteligência. Revista Eletrônica da Administração, 20(2), 425-460.
https://doi.org/10.1590/1413-2311056201238165
Russo, R., Sbragia, R., & Abraham, S. (2017). Unknown unknowns in innovative projects: Early signs sensemaking.
Brazilian Administration Review, 14(3), e170060. https://doi.org/10.1590/1807-7692bar2017170060
Sassi, D. B., Frini, A., Abdessalem, W. B., & Kraiem, N. (2015). Competitive intelligence: History, importance,
objectives, process and issues. International Conference on Research Challenges in Information Science (RCIS), Athens,
Greece, 9. https://doi.org/10.1109/rcis.2015.7128910
Soliman, M., & Karia, N. (2017). Antecedents for the success of the adoption of organizational ERP among higher
education institutions and competitive advantage in Egypt. Engineering, Technology & Applied Science Research, 7(3),
1719-1724. Retrieved from https://www.etasr.com/index.php/ETASR/article/view/1113/507
Strategic and Competitive Intelligence Professionals. (2017). Competitive intelligence: A 10 year global development.
CI Magazine, 20(2), 21-26. Retrieved from https://issuu.com/scippublications/docs/cim_summer-
_full_issue_pages/20
Tarapanoff, K. (2006). Inteligência, informação e conhecimento. Brasília, Brazil: IBICT.
Teece, D., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management
Journal, 18(7), 509-533. https://doi.org/10.1002/(sici)1097-0266(199708)18:7%3C509::aid-
smj882%3E3.0.co;2-z
Tsoukas, H., & Shepherd, J. (2004). Managing the future: foresight in the knowledge economy. Oxford, UK: Blackwell
Publishing.
Verville, J., Bernadas, C., & Halingten, A. (2005). So you're thinking of buying an ERP? Ten critical factors for
successful acquisitions. Journal of Enterprise Information Management, 18(6), 665-677.
https://doi.org/10.1108/17410390510628373
Vidigal, F. (2013). Competitive intelligence: Functional practices, goals and infrastructure of companies in Brazil.
Transinformação, 25(3), 237-243. https://doi.org/10.1590/s0103-37862013000300006
A. Cainelli, R. Janissek-Muniz 26
OPEN ACCESS
Wright, J. T., Silva, A. T. B., & Spers, R. G. (2010). Prospecção de cenários: Uma abordagem plural para o futuro
do Brasil em 2020. Revista Ibero-Americana de Estratégia, 9(1), 56-76. https://doi.org/10.5585/riae.v9i1.1645
Xu, M., & Kaye, R. (2009). The nature of strategic intelligence, current practice and solutions. Selected readings on strategic
information systems. Hershey, PA: Information Science Reference.
Author contributions
1st author: conceptualization (equal), formal analysis (lead), methodology (equal), writing-original draft (lead), writing-
review and editing (lead).
2nd author: conceptualization (equal), formal analysis (supporting), methodology (equal), supervision (lead), writing-
original draft (supporting), writing-review and editing (supporting).
Authors
Amanda Cainelli
Universidade Federal do Rio Grande do Sul, Escola de Administração
Rua Washington Luiz, 855, Centro Histórico, 90010-460, Porto Alegre, RS, Brazil
amanda.cainelli@ufrgs.br
https://orcid.org/0000-0002-1415-5770
Raquel Janissek-Muniz
Universidade Federal do Rio Grande do Sul, Escola de Administração
Rua Washington Luiz, 855, Centro Histórico, 90010-460, Porto Alegre, RS, Brazil
rjmuniz@ufrgs.br
https://orcid.org/0000-0002-0657-6559
Peer review is responsible for acknowledging an article's potential contribution to the frontiers of scholarly knowledge on business
or public administration. The authors are the ultimate responsible for the consistency of the theoretical references, the accurate
report of empirical data, the personal perspectives, and the use of copyrighted material.
Pre-adoption diagnosis of the intelligence process in organizations: A delphi study with intelligence practitioners 27
OPEN ACCESS
Appendix
Delphi questionnaire
CONDITIONS RELATED TO THE PRE-ADOPTION STAGE OF A STRUCTURED INTELLIGENCE PROCESS
Identification: What is your relationship with the topic of Intelligence?
( ) Director / Manager / Coordinator of an Intelligence area
( ) Analyst / Intelligence Specialist
( ) Independent Intelligence Professional (consultant)
( ) Student of Intelligence
( ) I’m a consumer of Intelligence products in my company
( ) Other. Specify:
In which industry do you act?
Enter your email to receive the results of this round.
There will be 28 statements so that you objectively judge how much you agree with them being (1) totally disagree and (5)
totally agree. To judge each statement, you must think about which elements are important to evaluate before the
Intelligence process is implemented in order to compose a diagnostic script.
You will also be asked, if possible, to justify your response based on experiences and report any practical situations you may
have experienced in accordance with the focus of each statement.
1
2
3
4
5
Justify
1
ORG1
Before adopting a structured Intelligence process, the organization must
consider it as an important part of its strategic planning.
2
ORG2
Before adopting a structured Intelligence process, the organization must
have an information-driven organizational culture.
3
ORG3
The adoption of the structured Intelligence process requires a prior
definition of objectives.
4
ORG4
The adoption of the structured Intelligence process requires a prior
definition of the organizational structure that will be involved in it.
5
ORG5
The adoption of the structured Intelligence process requires a prior
definition of the financial resources that will be spent in its execution.
6
ORG6
Before adopting a structured Intelligence process, the organization must
establish a committee, team or working group of people in charge, aligned
and motivated to carry out the process in the organization.
7
ORG7
Prior top management support is decisive for the adoption of a structured
Intelligence process.
8
ORG8
The structured Intelligence process must define, in advance, leaders
designated and legitimized by the organization.
9
IND1
The sharing of knowledge is an essential personal skill of the Intelligence
professional.
10
IND2
Owning and using informal or individual channels is an essential personal
skill of the Intelligence professional.
11
IND3
Motivation to learn about relevant business Environments is an essential
personal skill of the Intelligence professional.
12
IND4
Specialized technical education is an essential prerequisite for hiring
Intelligence professionals.
13
IND5
Employees must be previously aware that the organization will adopt a
structured Intelligence process.
A. Cainelli, R. Janissek-Muniz 28
OPEN ACCESS
14
IND6
Employees must know what a structured Intelligence process is before its
adoption by the organization.
15
IND7
Employees must be willing to adopt a structured Intelligence process before
its adoption by the organization.
16
IND8
Employees must recognize the relevance of a structured Intelligence
process before its adoption by the organization.
17
INF1
A prior need for exploring external informational flows is fundamental in
order to adopt a structured Intelligence process.
18
INF2
A prior need of proactively exploring the environment (in order to anticipate
opportunities and imminent risks) is fundamental in order to adopt a
structured Intelligence process.
19
INF3
E-mails, reports, and dashboards are enough as structures for Intelligence
dissemination.
20
INF4
The volume, variety, and speed of information currently available (Big Data)
influence the adoption of a structured Intelligence process.
21
TCM1
It’s necessary to provide specific platforms and tools before adopting a
structured Intelligence process.
22
TCM2
Before adopting a structured Intelligence process, the organization must
hire outsourced information gathering services.
23
TCM3
Before adopting a structured Intelligence process, the organization must
provide technological infrastructure support.
24
TCM4
Before adopting a structured Intelligence process, the organization must
define the appropriate time for each stage of the process (planning /
collection / analysis / dissemination / evaluation).
25
SIP1
The structured Intelligence process should be an ongoing task.
26
SIP2
The structured Intelligence process should not be conducted with ad hoc
requests most of the time.
27
SIP3
The structured Intelligence process must fulfill a set of well-defined steps
(planning / collection / analysis / dissemination / evaluation).
28
SIP4
The structured Intelligence process must have routines of problem
recognition and opportunity monitoring.
... Como ressaltam Matt, Hess e Benlian (2015), o contexto social de constante e rápida mudança baseada na evolução tecnológica aumenta as incertezas que envolvem os cenários futuros dos ambientes competitivos, afetando a compreensão do futuro descontínuo dos contextos organizacionais (Ruff, 2006) e aponta para a necessidade da construção de processos adequados, contínuos, cíclicos e mensuráveis (Matt, Hess & Benlian, 2015), o que permite que as empresas se antecipem aos movimentos de mercado (Cainelli & Janissek-Muniz, 2019), visando à criação de um diferencial competitivo (Sommarberg & Mäkinen, 2019 Bisson e Boukef (2021) apontam que, dado que as estratégias de TD devem ser precedidas e apoiadas por uma visão apurada do ambiente externo e suas movimentações, é necessário desenvolver processos de foresight para rever as avaliações e planos de ação gerados. Entende-se que, não obstante haja menções claras de Lesca (2003), Rohrbeck e Kum ...
... modelagem de equações estruturais com estimação por mínimos quadrados parciais (PLS-SEM), serão discutidos potenciais vias de análise dos resultados obtidos. Reforça-se a relevância da validação de uma escala reduzida para mensuração dos fatores individuais, processuais e organizacionais do foresight, outrora abordados em uma perspectiva qualitativa(Cainelli & Janissek-Muniz, 2019;Borges & Janissek-Muniz, 2021) e sob a perspectiva quantitativa, porém voltada para o mapeamento da maturidade de foresight(Martini, 2020).A partir da criação de uma escala reduzida (IND = 3 itens, PRC = 9 itens e ORG = 5 itens), ampliam-se as oportunidades de estudos envolvendo esses fatores, suas inter-relações e potenciais implicações em outros contextos e junto a outros construtos. Em suma, a identificação dos fatores de maneira isolada permite, até mesmo, uma maior compreensão de como o construto foresight se materializa no contexto organizacional e pode apoiar na compreensão de diferenciais competitivos das empresas(Zaidan & Janissek-Muniz, 2018).Partindo para a análise dos resultados obtidos, compreende-se que a relação entre os fatores do foresight no contexto de apoio à tomada de decisão em TD pode apoiar a formulação de estratégias gerenciais, para implementação do foresight e a continuidade do seu uso para além do processo de adoção, evidenciando o valor gerado e percebido pela organização(Borges & Janissek-Muniz, 2021).Os resultados deste estudo evidenciam a relação dos fatores individuais com os fatores organizacionais do foresight, que podem ser compreendidos como a adequação dos perfis profissionais às atividades do processo, bem como seu conhecimento e capacidade de compartilhamento desse conhecimento. ...
Article
Full-text available
Research suggests the usage of foresight with focus on building future scenarios that supports organisational decision making process is crucial when formulating Digital Transformation (DT) strategies at firms, although there is a gap of quantitative studies proving such direct relationship. The objective of this study is to validate the relation between foresight and its factors and DT in companies. Using a quantitative method, a survey was conducted with 258 professionals from Brazilian companies in charge of DT processes, or DT and foresight consultants. The results were analysed using Structural Equation Modelling method with Partial Least Squares estimation (PLS-SEM), and validate the suggested hypotheses. As a conclusion, it can be seen that the Individual and Process Factors of Foresight and the Organisational Factors are interrelated, and that the Organisational Factors are directly related to TD in firms. This research contributes to the definition of the direct relation between foresight as a process and the success of DT strategies. It also validates existing scales in combination, supporting the promotion of gathered knowledge and making it possible to compare its results in different contexts. Keywords: Digital Transformation; Anticipation; Foresight Factors
Article
Full-text available
Objetivo: Este estudo propõe um modelo prescritivo para avaliação da maturidade dos processos de Inteligência. Metodologia: Revisão Sistemática de Literatura para identificar os modelos de maturidade existentes e identificação de práticas-chave, que foram consolidadas e submetidas a um Delphi Card-Sorting com especialistas de Inteligência, propondo um modelo preliminar. O modelo foi submetido a uma survey com 374 profissionais de Inteligência para validação. Originalidade: A validação do modelo permite a proposição de um método que, além do diagnóstico, contribuiu para que as organizações evoluam seu processo de Inteligência por meio da prescrição de ações de melhoria. Resultados: Desenvolvimento de modelo de maturidade prescritivos em processos de Inteligência. Survey apontando que a maior parte das organizações participantes possuem processos de Inteligência maduros, embora nem sempre reconhecidos ou formalizados. Contribuições teóricas e metodológicas: O uso de uma combinação de procedimentos metodológicos incluindo o Delphi Card-Sorting, somado à survey com um número significativo de respondentes. Com o modelo desenvolvido também espera-se contribuir para o desenvolvimento de pesquisas longitudinais que analisem a relação entre a Inteligência e seus resultados para o desempenho da organização. A aplicação do método Delphi Card-sorting também pode ser considerada uma contribuição acadêmica importante, pois o instrumento preliminar originado deste método foi parcialmente validado. Contribuições sociais: O modelo proposto serve para que organizações possam avaliar o seu nível de maturidade em processos de Inteligência, diagnosticando e orientando suas práticas.
Article
Full-text available
هدف الدراسة الى تفسير طبيعة العلاقة بين القيادة الاستراتيجية وإدارة الازمة. واخذت الدراسة أهميتها في تقديم اطار متكامل عن القيادة الاستراتيجية التي تحتاجه الشركة العامة للتجهيزات الزراعية العراقية في إدارة الازمة فيها. واشكلت الدراسة الى هل ان الشركة العامة للتجهيزات الزراعية تطبق القيادة الاستراتيجية بالصورة التي تدير الازمة التي تحصل في العراق؟. وبلغ مجتمع الدراسة (150) فردا، واختار الباحثان منهم عينة عشوائية بلغت (104) فردا، ومن اهم فرضيات البحث هي: تفترض بان المتغير القيادة الاستراتيجية لا يؤثر معنوياً عند مستوى دلالة (0.05) في المتغير ادارة الازمة، اذ تم استخدام إداة الدراسة (استبانة التقصي) التي خضعت الى عدد من المحكمين، وتم تحليل البيانات باستخدام عددا من البرامج الجاهزة هي (IBM SPSS V26, AMOS V26, Excel 2016) ، وان ابرز ما توصل له الباحث من استنتاجات هي : يتبين بان الشركة تمتلك اتجاهات كثيرة تحفز بها العاملين في اشراكهم ووضعهم في خطط العمل التي تعمل على زيادة انتاجيتهم ورفع كفاءة الشركة من خلال المكافات وكتب الشكر.
Article
Full-text available
Com este estudo buscou-se avaliar a função dos sinais antecipativos e da capacidade empreendedora exercida pelos gestores operacionais e estratégicos de empresas na contribuição para o direcionamento da gestão para a sustentabilidade. A abordagem metodológica escolhida para o desenvolvimento do estudo foi de natureza qualitativa. A coleta de dados deu-se por meio de entrevistas, sendo os dados analisados com a técnica da análise de conteúdo. Os resultados apontam para três categorias principais, que enfatizam a importância da Capacidade Empreendedora focada para a Gestão para Sustentabilidade, e a utilização dos Sinais Antecipativos Externos que podem ser úteis para uma gestão mais eficiente.
Article
Purpose This paper aims to discuss the dynamic interactions among knowledge management, strategic foresight and emerging technologies, resulting in a framework that can help companies to shape these interactions for achieving positive outcomes. Design/methodology/approach This conceptual paper is based on prior literature streams, which were interrelated through an abductive research process. This iterative conceptualization approach led to the formation of testable propositions that advance the understanding on the interactions among knowledge management, strategic foresight and emerging technologies. Findings The framework demonstrates the existence of an actions cycle between strategic foresight and knowledge management through a constructivist perspective, where one can improve the other. These interactions can be useful both for the development of emerging technologies and for identifying these innovations in market that can be applied in companies. Hence, all these dynamic interactions do not point to a hegemonic relationship of one construct over the others, but for the value equality among them. Originality/value Although current literature points to the existence of relationships among knowledge management, strategic foresight and emerging technologies, the dynamism inherent in these interactions as well as their positive effects for companies’ results are not properly discussed. This paper fills such a gap and proposes directions for future research.
Conference Paper
Full-text available
In rapidly changing environments, innovation allows firms to maintain their market competitiveness. A firm with well-developed innovation capabilities stands a better chance to sustain its competitiveness. Additionally, strategic intelligence practices will also contribute to positive results, as a firm's economic sustainability depends on installed processes to obtain informational elements coming from the external environment to support its decision-making process. In this way, innovation often benefits from intelligence processes, especially when it provides new knowledge, monitors technological trajectories, and expands understanding of the external environment. To survive in a competitive market a firm needs innovation capabilities and strategic intelligence practices, but how are they related? Firms that are proactive in terms of their strategic intelligence practices have more developed innovation capabilities when compared to those reactive ones? This study aims to identify whether firms with activities associated with the strategic intelligence process differ in terms of their innovation capability level, verifying differences when comparing reactive and proactive groups. We analyzed secondary data of 1,331 Brazilian manufacturing firms. From the analysis, we have identified that development, operations and management capabilities are higher in those firms where there are strategic intelligence practices in place.
Article
Full-text available
This study aims to understand early signs’ sensemaking relevance to identifying unknown unknowns on innovative projects. When managing these projects, early signs of changes in the environment, combined with a sensemaking process, can help identify them prior to their occurrence and mitigate unwanted effects of these uncertainties. To this end, we conducted a field research to assess 16 projects, totaling 35 events representative of this kind of uncertainty. Based on in-depth interviews, we performed an initial qualitative analysis, and then applied non-parametric statistical tests. Early signs perception in cases where external factors may cause the occurrence of unknown unknowns show that this perception and the search for information are relevant to identifying unk unks. Furthermore, some biases, such as overconfidence and unrealistic optimism, can hinder it. There was a high prevalence of project managers detecting early signs of change in their projects at the beginning of the project. However, the majority of perceived early signs can be considered to be the first symptoms of a problem. Thus, as a contribution, we suggest: learning processes, which can provide sensemaking for early signs in unknown unknowns; project managers stimulating their team to be alert to environmental changes that may affect the project; and discussion of early signs perceived by the team during stakeholder management.
Article
Full-text available
Although the Enterprise Resource Planning (ERP) system has long been acknowledged in higher education institutions (HEIs) to improve their performance and efficiency, there are not many HEIs in Egypt that adopt ERP system and those that do are in an early stage. The research on ERP system in HEI is still limited and in the immature stage, hence little is known about the success factors for the adoption stage of ERP systems. Consequently, this article aims to understand what are the success factors for ERP adoption and further develop a conceptual model that explains the successful implementation of ERP in HEIs and its impact on competitive advantage. Based on previous studies, this paper identifies and conceptualizes success factors for ERP and further develops the proposed model for the adoption of ERP system in HEIs. This article contributes to the development of the theoretical framework of the successful implementation of the ERP system to explain the competitive advantage of HEI by merging information system (IS) success and diffusion of innovation (DOI) theories with the success factors for the adoption stage of ERP systems. The current study will provide recommendations and guidelines for both the potential adopters and the vendors on the successful ERP system adoption.
Article
Full-text available
Small and medium sized enterprises (SMEs) are the economic backbone of many countries. In order to survive and compete in dynamic markets, SMEs need supply chain intelligence (SCI) as a structured tool to gather and analyse information of business activities and the market environment. However, studies on the concept are scare, in particular its application to the SME sector. This research study examines the level and extent of SCI practices among SMEs and their impact on their competitive advantage and business performance respectively. In order to assess these, a survey was conducted among 813 SME owners and managers from various business sectors and subsectors. Results showed that majority of the SMEs have the right culture and some form of intelligence activities including formal intelligence unit. These measures were developed with top management support. By emphasising its importance among employees, SCI activities will improve SMEs' competitive advantage and performance.
Article
Full-text available
A Inteligência Estratégica é um processo sistemático de busca, interpretação e utilização da informação, de forma a criar novas oportunidades e prever mudanças com vistas a obter vantagem competitiva sustentável (GUILHON, 2004; JAKOBIAK, 2004; LEVET, 2001; WRIGHT; CALOF, 2006). Enquanto objeto de pesquisa, mesmo sendo fundamentada em conceitos que não são novos, a inteligência ainda necessita da definição mais precisa de seus elementos para ser compreendida. Essa constatação é, de fato, o desafio que fundamentou a pesquisa descrita nesse artigo. Assim, o objetivo deste estudo foi o de definir os conceitos que estão relacionados à Inteligência Estratégica {IE) e desenvolver uma escala que possa ser utilizada para avaliar o nível de percepção do fenômeno da informação e o nível de estruturação dos processos de IE nas organizações. Os procedimentos de análise fatorial exploratória e confirmatória utilizados para garantir a dimensionalidade, confiabilidade e validade da escala foram desenvolvidos e a confirmação da escala foi realizada com uma amostra de 250 empresas do setor moveleiro do Rio Grande do Sul. Os resultados indicam que a escala é válida para avaliar o nível de percepção do fenômeno da informação nas organizações e o nível de estruturação dos processos de IE, sendo possível aplicá-la em avaliações individualizadas e setoriais.
Conference Paper
Full-text available
A dinâmica do ambiente exige que as organizações tenham ferramentas adequadas para lidar com o ritmo das mudanças. A monitoração do ambiente apresenta-se como um processo, contínuo, que busca municiar executivos e gestores. Assim sendo, buscou-se identificar junto à literatura dimensões que permitissem assumir e desenvolver a atividade com base em informações informais. Após esta busca, foram agrupados diversos elementos em 5 dimensões distintas: fontes, forma de coleta, armazenamento, exploração/disseminação e, por fim, finalidade. Este trabalho, então, tem como objetivo fazer uma verificação inicial sobre a monitoração do ambiente junto a executivos e especialistas da área de TI. Deste levantamento inicial, elaborou-se algumas hipóteses e, por fim, algumas recomendações para que esta atividade possa ser desenvolvida corretamente, privilegiando as informações informais.
Article
Full-text available
Strategic foresight is a scientific field in rapid development judged from the increase in number of yearly publications the last decade. What characterizes the research in this field? To answer this question we undertook a systematic literature review searching two library databases, Business Source Complete and ScienceDirect, for scientific articles related to the topic ´strategic foresight´ in the context of the organization. The search revealed 59 publications published between January 2000 and October 2014. The articles were systematically organized and analyzed. This review provides the status of this emergent research field. Although we witness a growth of academic interest in strategic foresight, we argue that this scientific field is weakly organized and there is a lack of theoretical progress. We have analyzed the research subjects addressed in the 59 articles, and from this a taxonomy of eight categories. Three categories dominate in terms of frequency of articles: methods applied, organizing practices, and experiences gained. There is only limited research on motivation and use, value contribution, and innovation. Explorative research dominates, and a variety of theoretical perspectives has been used. Some attempts to build conceptual foundations can be observed, but in general, we found no single perspective that deserves loyalty on which a coherent theoretical foundation of strategic foresight is built. Strategic foresight has a great potential of contributing more to the success of a firm if the research moves from today's dominating explorative research to also include more explanatory research.
Article
Full-text available
Purpose Knowledge about competitive environments is a determinant factor for the success of a firm, as it may allow it to anticipate threats and opportunities in its market. This study aims to explore variables that enable or prevent an employee’s intrinsic motivation to share knowledge. It studies the collection and sharing of information that may be a signal of future competitive moves in competitive intelligence (CI) processes. Design/methodology/approach Canonical correlation was used by utilizing survey data from a company. The study was based on the self-determination theory relating intrinsic motivation to behavior. Findings The study confirms the importance of different aspects motivating knowledge sharing behavior, such as information system’s support, top management support and information feed-back. Research limitations/implications The study is limited to one company, respecting the limitations of a case study, but external validation was impossible to test. Findings showed a strong correlation of some variables with intrinsic motivation and are coherent with other studies in the knowledge sharing field. Practical implications Firms introducing knowledge sharing processes should pay attention to the importance of information system support. The relationship with people involved is also important, as in supporting their collaborations and giving feed-back to contributions. Sustaining intrinsic motivation seems a fundamental aspect to the process’ success. Originality/value The study indicates the relation of different variables of motivation with motivation. It explores knowledge sharing in a CI process, an important process in firms nowadays. It shows important aspects that ensure continuity of knowledge sharing as informational feed-back and top management support. Canonical correlation was also used, a technique not frequently explored and useful to study correlation among groups of variables.
Article
Full-text available
Este artigo explora um processo de inteligência competitiva, voltado para monitorar o ambiente externo por meio do uso de sinais fracos, a fim de antecipar oportunidades e ameaças. Este trabalho apresenta um estudo comparativo que descreve a implantação de dispositivos de monitoramento por meio do método proposto por Lesca (2003) e Lesca e Lesca (2011, 2014) em duas empresas estrangeiras – americana e francesa – situadas em um contexto brasileiro. O objetivo do artigo é explorar processos de inteligência competitiva e compreender, por meio de estudos de caso, quais as principais variáveis que influenciaram a sua implantação. No decorrer da análise, alguns fatores se destacaram pelos seus impactos na adoção do método, como: planejamento simples e organização clara, alinhamento de informação entre os participantes, formação de um comitê de implantação, entre outros. Já os fatores‐chave para o sucesso do processo são: geração efetiva de inteligência, apoio da alta administração, adaptabilidade e disciplina. Finalmente, o método usado demonstrou ser eficaz, gerou resultados significativos para as empresas estudadas. Os resultados para as companhias que implantaram o método variam desde a melhoria na comunicação da estratégia da empresa, a extensão da rede de contatos internos do grupo, a dotação de base para administração do conhecimento e o maior conhecimento dos negócios até assuntos que envolvem a empresa, a estratégia orientada para ação e o tempo de qualidade para discussão da estratégia de longo prazo.
Chapter
Throughout this book, we use some terms specific to the Competitive Intelligence (CI) community as well as others from other business disciplines. This chapter introduces you to them. You can read them now or refer to them as you go through this book.
Article
This research is reporting on the pre-adoption of Strategic Scanning (S.Scan) information systems (IS). More specifically, it relates to the pre-adoption phase, that is, the emergence of the idea of such a system and the evaluation of its need for the organization, upstream of any technological consideration. The research question is the following: what are the drivers and barriers that influence the pre-adoption of a S.Scan IS? The objective of this research is to extend knowledge on a subject that has received little attention from the scholars. Research’s originality relies on the use of isomorphic processes from neo-institu- tional framework to study pre-adoption in the field of S.Scan. On the basis of a multi- method research combining qualitative and quantitative exploratory studies in the specific field of sustainable supply chains (SSC), our results highlight 31 drivers and barriers to pre- adoption of S.Scan IS, ten of which have not been identified before, and five types of pres- sures. They therefore suggest that pre-adoption of S.Scan IS can be subject to both func- tional and institutional pressures. It can be driven either by competitiveness or conformism pressures, and hindered by performance objectives or lack of coercive pressures. Finally, these results put a question mark about the understanding of the strategic dimension of S.Scan IS by organisations, and the government’s role and its responsibility for promoting SSC initiatives and for the adoption of S.Scan IS on this issue.