ArticlePDF Available

Tacit Knowledge Transfer at Engineering Consulting Organization in the USA

Authors:
  • Emmanuel University Raleigh North Carolina USA

Abstract and Figures

Engineering consulting organizations are knowledge-intensive firms characterized by highly technical personnel. The problem was that the leaders of engineering organizations have not eliminated the loss of tacit knowledge transfer among employees. The purpose of this qualitative multiple case study was to gain an understanding of how engineering consulting organization leaders facilitate the transfer of tacit knowledge among employees. The study was underpinned by the conceptual framework of socialization, externalization, combination, and internalization model developed by Nonaka and Takeuchi and Burns' transformational leadership theory. A qualitative multiple case study design was used by employing multiple sources of information including semi-structured interviews, field notes, and review of organizational documents. The unit of analysis was leaders in an engineering consulting organization. The data analysis processes involved coding of the data, categorizing the coded data, and subsequently generating themes in line with the research question using NVivo Version 12 software. Findings indicated that leaders facilitated the transfer of tacit knowledge through the creation of a safe environment for employees, on-the-job development, caring support, and implementation of quality practices. The opportunity to facilitate the transfer of tacit knowledge among employees in engineering consulting organizations enhances growth among employees. The outcome could contribute to social change through improved professionalism and expertise of employees.
Content may be subject to copyright.
Tacit Knowledge Transfer at Engineering Consulting Organization in the USA
Funminiyi S. Egbedoyin, Folfun International Inc., Canton, Michigan, USA,
niyiegbedoyin@yahoo.com
Edward P. Agbai , Smart Alliance Consulting Services Ltd, Saskatoon, Saskatchewan, Canada
edward.agbai@smartalliance.ng
Abstract
Engineering consulting organizations are knowledge-intensive firms characterized by highly
technical personnel. The problem was that the leaders of engineering organizations have not
eliminated loss of tacit knowledge transfer among employees. The purpose of this qualitative
multiple case study was to gain an understanding of how engineering consulting organization
leaders facilitate the transfer of tacit knowledge among employees. The study was underpinned
by the conceptual framework of socialization, externalization, combination, and internalization
model developed by Nonaka and Takeuchi and Burns’ transformational leadership theory. A
qualitative multiple case study design was used by employing multiple sources of information
including semi-structured interviews, field notes, and review of organizational documents. The
unit of analysis was leaders in an engineering consulting organization. The data analysis
processes involved coding of the data, categorizing the coded data, and subsequently generating
themes in line with the research question using NVivo Version 12 software. Findings indicated
that leaders facilitated the transfer of tacit knowledge through the creation of a safe environment
for employees, on-the-job development, caring support, and implementation of quality practices.
The opportunity to facilitate the transfer of tacit knowledge among employees in engineering
consulting organizations enhances growth among employees. The outcome could contribute to
social change through improved professionalism and expertise of employees.
Keywords – Tacit knowledge, Knowledge-transfer, Management support, Organizational
culture, and Growth
1.0 Introduction
Consulting engineering organizations are knowledge-intensive firms that leverage the
expertise of their skilled workforces for operational continuity (Ding, Zuo, Wang, & Zillante,
2016; Kuciapski, 2017) and competitive advantage. Tacit knowledge has unique peculiarities in a
knowledge-based organization. The technical and professional skills of engineers are critical to
the operational continuity of the organization (Litchfield, Javernick-Will, & Maul, 2016; Pérez-
Luño, Saparito, & Gopalakrishnan, 2016). Therefore, the focus of engineering consulting leaders
has shifted from physical to intellectual assets (Millar, Chen, & Waller, 2017). Leaders and
academics recognize that knowledge management (KM) is essential for competitive advantage
(Garrick & Chan, 2017). The transfer of tacit knowledge may enable organizations to preserve
critical knowledge and promote operational continuity (Ding et al., 2016).
The strategic resources for the sustainability of organizations are the knowledge of the people
who worked for or are currently working for the organization (Millar et al., 2017). Although the
exit of experts from organizations may be inevitable, there could be a transfer of knowledge
among employees through knowledge sharing (Joe, Yoong, & Patel, 2013; Witmer, 2018).
According to Krylova, Vera, and Crossan (2016), the defection and attrition of experienced
employees has an impact on the future workforce if there is no as organizational practice of a
knowledge transfer strategy (Reder et al., 2010). The consequence is a challenge for organization
leaders to hire qualified candidates due to the increasing needs of the organization and to stay
competitive (Denner & Blackman, 2013; Millar et al., 2017).
Pereira, Alves, and Ferreira (2016) explained that tacit knowledge might impact customer
loyalty. Lack of quality in knowledge transfer practice, according to Litchfield et al. (2016),
might limit the usefulness of the captured tacit knowledge to enhance organizations’ bottom line.
According to Ren, Deng, and Liang (2018) and Denner and Blackman (2013), few organizations
have a formal strategy for knowledge retention of experienced employees and methods of
eliminating loss in the process of knowledge transfer. Dzekashu and McCollum (2014) added
that the limiting factors to adequate knowledge transfer are insufficient quality in the process.
Imran, Ilyas, and Aslam (2016) and Millar et al. (2017) posited that understanding how leaders
facilitate the transfer of tacit knowledge at engineering consulting organizations is significant.
This research was conducted to gain an understanding of how leaders in an engineering
consulting organization facilitate the transfer of tacit knowledge among employees. The
opportunity to leverage the transfer of tacit knowledge for experienced employees at an
engineering consulting organization may enhance the growth of new employees and contribute to
positive social change.
2.0 Methodology
2.1 Problem Statement
The projected number of aging or experienced workers exiting the engineering industry
between 2011 and 2029 will create a labor scarcity that will affect the engineering industry (Ren
et al., 2018). The labor scarcity may be a result of unqualified candidates due to inadequate
knowledge required to fill the gap. A survey administered by the Technology Services Industry
Association in KM across industries showed that 43% of the 300 respondents thought that there
are unqualified employees because of inadequate knowledge (Ragsdale, 2018).
The general management problem is that despite the efforts in capturing tacit knowledge,
leaders of organizations have not fully realized the benefit of tacit knowledge (Joe et al., 2013;
Litchfield et al., 2016; Perjanik, 2016). The specific problem is that the efforts of the leaders of
engineering consulting organizations in eliminating loss in the transfer of tacit knowledge among
employees have not been realized (Dzekashu & McCollum, 2014; Millar et al., 2017; Wang,
Zhou, & Ding, 2010).
2.2 Purpose of the Study
The purpose of this qualitative exploratory multiple case study was to gain an understanding
of how leaders in an engineering consulting organization facilitate the transfer of tacit knowledge
among employees. I selected a case study for this research because the focus was to understand
the phenomenon within its natural setting (Gog, 2015; Yazan, 2015; Yin, 2014). According to
Bendassolli (2013), the goal of qualitative research is to gain an understanding of a situation,
individuals, or group of people. Dzekashu and McCollum (2014) also noted that the qualitative
approach is suitable for answering how questions. A case study enables the researcher to obtain a
more in-depth understanding of the phenomenon of interest (Agee, 2009; Yin, 2014).
2.3 Research Questions
The overarching research question was: How do leaders in an engineering consulting
organization facilitate the transfer of tacit knowledge among employees?
2.4 Conceptual Framework
The conceptual framework for this study was based on (a) the socialization, externalization,
combination, and internalization (SECI) model developed by Nonaka and Takeuchi (1995), and
(b) transformational leadership theory (Burns, 1978). Knowledge creation is a dynamic process
of spiral interaction of explicit and tacit knowledge and involves the transfer of tacit and explicit
knowledge among individuals and groups of individuals within and outside organizations
(Nonaka & Takeuchi, 1995). In this dynamic process of knowledge creation, there is a
continuous interaction among varied levels of employees. Research has shown that the
leadership role is critical to the outcome of the interaction (Tsai, Wang, & Yuan, 2015).
Transformational leadership theory focuses on the followers and leadership relationship and
how leaders motivate followers to support each other to a higher level of performance (Burns,
1978). Leaders inspire followers to achieve unremarkable results by working with the team in
identifying changes, instituting a guide through inspiration, and executing the change with the
group (Burns, 1978). This study focused on the effect of transformational leadership on
knowledge transfer programs. Research has shown that visible leadership commitment has a
positive mediating effect on employees’ competence and job performance (Tsai et al., 2015).
Transformational leaders enable followers to focus on goal attainment, accept the ethical
practice, and promotion of personal sacrifice for achieving goals (Qu, Janssen, & Shi, 2015).
Tse, Huange, and Lam (2013) maintained that transformational leaders promote enduring social
exchange between the organization and the employees by breaking down the rivalry of self and
organizational interest and ultimately reducing turnover of employees. Tsai et al. (2015) further
argued that a transformational leader has a positive influence on employees’ engagement, job
satisfaction, and personal commitment to an organizational goal. Therefore, the transformational
theory can be used as a lens to understand the role of leaders in the knowledge exchange
3.0 Literature Review
3.1 Tacit Knowledge in Engineering Consulting Organization
Tacit knowledge is an intellectual asset that is based on experience and overly complicated.
The strategies for capturing tacit knowledge have varied challenges. For this study, the capturing
of tacit knowledge is the extracting of knowledge from an individual or group for a projected
benefit of all (Dzekashu & McCollum, 2014; Garrick, 2018). Tacit knowledge is often difficult
to verbalize by the individuals that possess it. The acquisition of the knowledge is through the
interaction of three cognitive processes- selective encoding (sifting through information),
combination (integration), and comparison (for continuous update of knowledge). The
coordination of these processes supported the practical application of tacit knowledge in an
organization (Garrick, 2018; Seidler-de Alwis, & Hartmann, 2008). Hau et al. (2013) and Endres
and Chowdhury (2014) stated that KM has growing attention in enhancing and supporting
knowledge creation and sharing within organizations.
3.2 Capturing of Tacit Knowledge in Engineering Consulting Organization
The design of the study was to understand how leaders are facilitating the transfer of tacit
knowledge in consulting engineering organizations. Bican, Guderian, and Ringbeck (2017)
posited that there is a diverse range of practices available to capturing knowledge, and successful
implementation of knowledge must be a collaboration between leadership and employees. KM
requires vital supportive drivers, such as the availability of organic organizational structure,
human resources, and supportive culture (Papa et al., 2018).
Organization culture. Extant literature established the significant impact of organizational
culture in supporting KM processes (Papa et al., 2018). Organizational culture is a set of
values/beliefs that guide its behavior (Tomas & Hult, 2003). The success of KM thrives on the
support of organizational culture and can constitute vital promoters or barriers of a collaborative
mutual work environment (Papa et al., 2018). Papa et al. (2018) posited that organizational
culture hinged on leadership support and in turn may affect KM. The level of trust among
employees is an essential factor in advancing organizational KM. Wahba (2015) confirmed that
organizational structure positively enhances and is significant to supporting KM (Sunalai, &
Beyerlein, 2015; Wahba, 2015).
3.3 Challenges of Knowledge Transfer
There is an increase in the relevance of human and cultural concerns in KM. A more profound
knowledge or experience is a product of higher tacit knowledge that comes with more significant
difficulties in articulation. Since tacit knowledge is highly individual (Polanyi, 1974), diffusion
of the knowledge may seem impossible (Augier & Vendelo, 1999; Roy & Mitra, 2018).
Researchers asserted that there are difficulties in sharing tacit knowledge. One of the challenges
is the perception, which is a characteristic of unconsciousness, or lack of awareness of the wealth
of knowledge possesses by people (Polanyi, 1974; Roy & Mitra, 2018). Second challenge is the
language difficulty due to the non-verbal form of tacit knowledge. Third, time is a threat to
capturing tacit knowledge because of the amount required to complete the communication
process. Augier and Vendelo (1999), and Bennett and Gabriel (1999) stated that the
internalization of tacit knowledge requires a considerable time among employees. Fourth
challenge is ensuring the value/quality of tacit knowledge (Donate & de Pablo, 2015). The
quality of the captured knowledge may drive the willingness of employees to apply them. Lastly,
the remote characteristics in the present work-life pose an immeasurable resistance to the
dispersion of tacit knowledge as face-to-face seems to be a better platform for effectiveness
(Garrick, 2018; Leonard & Sensiper, 1998).
4.0 Findings/Results
4.1 Research Setting
To recruit participants for this study, requests were sent to the authorization officers in two
organizations; these officers later sent me the contact information of potential participants who
met the inclusion criteria. The criteria were leaders with a minimum of 5 years of experience at a
consulting organization. The consulting firm also had to have a minimum of 10 years of
operation in the United States and a minimum of 10 employees. Invitation through e-mails was
to 25 individuals on the list. Some potential participants declined to be a part of the study based
on their busy schedules; others did not respond to the e-mail. The holiday season caused a
significant delay in receiving responses from potential participants. Some potential participants
refused to participate because they were retiring at the end of the year. Consent forms and
interview protocols were sent participants that agreed to participate in the study.
A total number of 15 participants with 11 participants from one organization and four from
the second organization were interviewed; the distribution was based on the availability of
participants. The two organizations have footprints across the United States. A case study is a
methodological approach that involves the in-depth exploration of a specific bounded system
(Mills et al., 2010). In this study, the bounded system was the process of transferring tacit
knowledge among employees in a consulting organization. Multiple forms of data collection are
employed to gather information on how a system operates or functions systematically (Mills et
al., 2010).
In this study, triangulation of the semi structured interviews occurred using field notes and
organizational nonproprietary documents for data collection. Moving through the field notes and
documents, the researchers extracted codes and categories keeping in mind the list extracted
from the interview transcripts. The list generated was compared with the transcript list and
merged into a master list from all the data. The master list constituted the outline of the recurring
patterns that became the themes of the study. The themes are the conceptual elements that span
the categories generated from the multiple data sources. The multiple data sources were used to
corroborate and augment evidence from the interviews.
Based on the field notes, analyses of the interviews, and the document review, there was no
new insight or codes after the 11th interview. Saturation occurs when continued data collection
produces no new information or insights into the phenomenon of study. The researchers
concluded the existence of data saturation; hence, the study was limited to two cases. The
interviewing process and peer checking occurred in the two organizations and spanned 7 weeks.
The interviews were performed at the office premises of the participants. They administered and
disseminated the script and the informed consent agreement to the research participants and
explained the primary focus of the study before the interview.
The interviews lasted approximately 20–30 minutes. The transcripts were sent to the
participants about 2 days after their interview was conducted to ensure their immediate review
for the strength, validity, and reliability of the data collection process and the study. All 15
participants reviewed the transcripts with either minor or no comments. The strength of the study
reflects a mixture of interviewees’ expertise. The professional knowledge shared by the
participants during the face-to-face interviews showed the depth of their knowledge of the
phenomenon of interest.
4.2 Study Results
The central research question of the study was how leaders in an engineering consulting
organization facilitate the transfer of tacit knowledge among employees. In the following
sections, the researchers presented the findings of this study about how leaders in an engineering
consulting organization facilitate the transfer of tacit knowledge among employees. They
reported outcomes of the reflexivity through the multiple analysis of the experiences and lessons
learned by the participants. The selected two organizations have footprints across the United
States. Based on the field notes, analysis of the interview, and document review, there was no
new insight or codes after the 11th interview. The researchers concluded the existence of data
saturation and purposively selected 15 participants in alignment with the research method and
methodology of this research study.
4.3 Major Themes
The reviewed semi structured open-ended questions, notes, documents and all the sources
of data were uploaded into NVivo 12. The document reviewed included the organizations’
Newsletters, Quarterly meeting bulletins, Training and Development weekly update, Quality
Assurance and Control manuals, Practice Group bulletins, and websites. The emergent themes
resulted from the analysis and interpretation of the data collected from the semi structured
interview question, field notes, in conjunction with the internal and external documents from the
two organizations.
Table 1
Emergent Major Themes and Categories from Interviews, Field Notes, and Document Review
Major themes Categories
On the job growth Transformational, mentoring, trust, collaboration/partnership,
interaction, choice, and organizational structure
Quality Communication, continuous improvement, and planning
Management Support Employee Development, Policies, and Employee Well-being
50%
20%
30%
Major Themes
On the Job Growth Quality Management Support
Table 2
Inductively Developed Thematic Theme: On-the-Job Growth
Key Code Category Source % Relative
Occurrence
Management
Participation
Transformational
leadership/
organizational
structure
Organization structure chart, newsletter,
weekly update, project planning
worksheet, meeting agenda, practice
group bulletin, project management plan,
interview, website, field notes
20
Guidance Mentoring Interview, newsletter, website, QAQC,
lesson learned, feedback form, field notes
16
Interaction Trust Interview, field notes, newsletter,
quarterly meeting bulletin, and website
16
Lesson learned Collaboration Interview, newsletter, quarterly meeting
bulletin, website, QAQC, project
planning form, and field notes
16
Seminars/
conferences
Partnering Interview, newsletter, website, practice
group bulletin, project planning form,
training and development schedules, and
field notes
16
Ownership Choice Interview, newsletter, website, and field
notes
16
Management
Par!cipa!on
Guidance
Interac!on
Lesson learned
Seminars/Conferences
Ownership
0
4
8
12
16
20
% Occurence
Table 3
Inductively Developed Thematic Theme: Quality
Key code Category Sources % Relative
occurrence
Awareness Communication Practice group bulletin, training and
development schedule, lesson learned,
interview, newsletter, website, QAQC,
and field notes
35
Gap
identification
Continuous
improvement
Practice group bulletin, training and
development schedule, lesson learned,
interview, newsletter, website, QAQC,
and field notes
35
Organizing Planning Practice group bulletin, training and
development schedule, lesson learned,
interview, newsletter, website, QAQC,
30
and field notes
Awareness Gap iden!.ca!on Organizing
27
28
29
30
31
32
33
34
35
36
% Occurrence
Table 2
Inductively Developed Thematic Theme: Management Support
Key code Category Sources % Relative
occurrence
Employee
Development
Accommodating
policies
Practice group bulletin, training and
development schedule, lesson learned,
interview, newsletter, website, and field
notes
36
Policies Openness Practice group bulletin, training and
development schedule, interview,
newsletter, website, and field notes
34
Employee Well-
being
Job security and
Safety
Consciousness
Practice group bulletin, training and
development schedule, interview,
newsletter, website, and field notes
30
Employee Development Policies Employee Well-being
27
28
29
30
31
32
33
34
35
36
% Occurrence
5.0 Conclusion
5.1.0 Interpretation of Findings
To reach conclusions about the contribution of this study to the existing body of knowledge,
the researchers performed data source analysis with the literature. The conceptual framework of
this study was used to determine the boundaries of the review, and the study findings served as
the main themes for the review. They discussed the contributions of this study in terms of
understanding how leaders are supporting the transfer of tacit knowledge among employees.
The research question that guided this study was: How do leaders in an engineering
consulting organization facilitate the transfer of tacit knowledge among employees? The data
was manually coded from the transcribed interviews of the research participants, field notes, and
document review from the two organizations to generate the themes to address the research
question. Three major themes emerged, and the themes aligned the themes with findings from
the literature review to ascertain the concurrence and to corroborate with the previous research
framework as outlined in the literature review and the conceptual framework.
5-1-1 On-the-Job Growth
From the findings of this study, the researchers determined that leaders facilitate the transfer
of tacit knowledge through on-the-job development. The findings aligned with Srivastava and
Jain (2017), who found that leaders guide, direct, and influence employees to change and are
involved in the change process. The success of tacit knowledge transfer thrives on the support of
management who serve as a vital promoter of a collaborative mutual work environment (Papa et
al., 2018). This finding also confirmed that organizational structure is significant to supporting
and may positively enhance KM (Sunalai, & Beyerlein, 2015; Wahba, 2015).
The findings of this study also revealed that a leader’s demonstration of concern and support
significantly supports the transfer of tacit knowledge. Leaders empowered employees in
optimizing their potential through concern for others, openness, and support because knowledge
sharing enables people to do their work using collective knowledge and experience (Beehr &
Bennett, 2015). The goal of leaders is to empower employees in optimizing their potential, which
is fostered in the concern for others, openness, and support (Beehr & Bennett, 2015). Diverse
range of practices are available to transfer knowledge, and successful implementation of
knowledge must be a collaboration between leadership and employees. The findings also
established that the level of trust among employees is an essential factor in advancing
organizational. Organizational structure is a significant key in promoting the building of
relationships, which in turn, positively enhances the transfer of tacit knowledge (Wahba, 2015).
5.1.2 Quality
The findings from this study established that quality is considered the connecting bridge with
customers and makes the organization attractive to existing and potential customers. The quality
transfer of tacit knowledge is an enabler for organizations to preserve critical knowledge and
promote operational continuity. How leaders ensure good quality practice promotes the transfer
of tacit knowledge. Three categories were identified from the analysis: (a) communication, (b)
continuous improvement, and (d) planning. The findings from this study confirmed Alharbi et
al.’s (2018) findings that quality management affects tacit knowledge transfer. Litchfield et al.
(2016) established that a lack of necessary quality might limit the usefulness of the captured tacit
knowledge (Millar et al., 2017). Nam Nguyen and Mohamed (2011), and Millar et al. (2017)
posited that leadership behaviors in KM practices would be a key driver for optimum benefits of
tacit knowledge.
From this study, there is a confirmation of the findings of Dzekashu and McCollum (2014)
that: (a) top management’s engagement produced an optimum result within the organization, (b)
quality policies in place will translate to real and desired improvements, (c) The management
activities have a maximum enormous on the effectiveness of the processes., (d) The self-
assessment of the quality management system by organizational leaders improves the overall
effectiveness and efficiency, and (e)The method used by the organizational leaders for analyzing
performance had maximum impact on the organization (Dzekashu & McCollum, 2014).
5.1.3 Management Support
From this study, leaders facilitate the transfer of tacit knowledge through practical
demonstration of high level of support to employees. This finding is supported by Garrick and
Chan (2017) that established that positive management support resulted in exponential
transformation of employees and their well-being. Neukam (2017) and Badara et al. (2015)
inferred that knowledge sharing, through collaboration, thrives in a welcoming environment
where both leaders and individual contributors can flourish.
5.2.0 Recommendations
The study findings have created future opportunities for further research. The purpose of this
qualitative multiple case study is to gain understandings of how leaders in an engineering
consulting organization facilitate the transfer of tacit knowledge among employees.
The first recommendation is to expand the empirical research on tacit knowledge transfer to
include other countries. This supports the recommendations of Carmel et al. (2013) that more
research needed in the professional services, and specifically those knowledge-intensive
industries. The need for operational continuity exists throughout the world; there is a continued
need for research to improve the management of tacit knowledge.
The second recommendation is for future research to increase the number of participating
consulting organizations across the nation. The proposal will provide an opportunity for future
researchers to compare the result of this study with future outcomes.
6.0 REFERENCES
Agee, J. (2009). Developing qualitative research questions: A reflective process. International
Journal of Qualitative Studies in Education, 22(4), 431–447.
doi:10.1080/09518390902736512
Alegre, J., Sengupta, K., & Lapiedra, R. (2013). Knowledge management and innovation
performance in a high-tech SMEs industry. International Small Business Journal, 31(4), 454–
470. doi:10.1177/0266242611417472
Alharbi, I., Alyoubi, B., Alyoubi, A., & Almazmomi, N. (2018). Knowledge management
systems: Evaluating confidentiality, trust, and privacy concerns. Journal of Engineering
Technology, 6(2), 83–97. Retrieved from http://www.joetsite.com
Badara, A. M., Johari, H. B., & Yean, T. F. (2015). Individual performance, leadership
succession, organizational climate and the moderating effect of trust: Data screening and
preliminary analysis. Mediterranean Journal of Social Sciences, 6(2), 13.
doi:10.5901/mjss.2015.v6n2p13
Bendassolli, P. F. (2013). Theory building in qualitative research: Reconsidering the problem of
induction. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 14(1).
doi:10.17169/fqs-14.1.1851
Beehr, T. A., & Bennett, M. M. (2015). Working after retirement: Features of bridge
employment and research directions. Work, Aging and Retirement, 1(1), 112–128.
doi:10.1093/workar/wau007
Burns, J. M. (1978). Leadership. New York, NY: Harper and Row.
Carmel, J., Yoong, P., & Patel, K. (2013). Knowledge loss when older experts leave knowledge-
intensive organizations. Journal of Knowledge Management, 17(6), 913–927.
doi:10.1108/JKM-04-2013-0137
Denner, L., & Blackman, T. (2013). Knowledge management in the public sector: an online
presence as a tool for capture and sharing. Studies and Perspectives Series (The Caribbean),
20. Retrieved from https://www.cepal.org/en/publications/type/studies-and-perspectives-
eclac-subregional-headquarters-caribbean
Ding, Z., Zuo, J., Wang, J., & Zillante, G. (2016). Searching for niche market for engineering
consultants. Case of regional supervisor system in China. Engineering Construction &
Architectural Management, 23, 622-637. doi:10.1108/ECAM-09-2015-0132
Dzekashu, W. G., & McCollum, W. R. (2014). A quality approach to tacit knowledge capture:
Effective practice to achieving operational excellence. International Journal of Applied
Management and Technology, 13(1), 52-63. doi:10.5590/IJAMT.2014.13.1.04
Garrick, J. (2018). A critical discourse on tacit knowledge management and the performance
agenda. Implications for industry training and development. European Journal of Training
and Development, 42, 210-225.doi:10.1108/EJTD-12-2017-0107
Garrick, J., & Chan, A. (2017). Knowledge management and professional experience: The
uneasy dynamics between tacit knowledge and performativity in organizations. Journal of
Knowledge Management, 21(4), 872-884. doi:10.1108/JKM-02-2017-0058
Gog, M. (2015). Case study research. International Journal of Sales, Retailing & Marketing,
4(9), 33-41. Retrieved from http://www.ijsrm.com
Imran, M. K., Ilyas, M., & Aslam, U. (2016). Organizational learning through transformational
leadership. The learning organization, 23(4), 232-248. Retrieved from
https://www.researchgate.net
Iyamah, F. A., & Ohiorenoya, J. O. (2015). Knowledge sharing and performance in the Nigerian
oil and gas industry. Information and Knowledge Management, 5(3). 82-90. Retrieved from
academia.edu
Joe, C., Yoong, P., & Patel, K. (2013). Knowledge loss when older experts leave knowledge-
intensive organizations. Journal of Knowledge Management, (6), 913. doi:10.1108/JKM-04-
2013-0137
Krylova, K. O., Vera, D., & Crossan, M. (2016). Knowledge transfer in knowledge intensive
organizations. The crucial role of improvisation in transferring and protecting knowledge.
Journal of Knowledge Management, 20, 1045-1064. doi:10.1108/JKM-10-2015-0385
Kuciapski, M. (2017). A model of mobile technologies acceptance for knowledge transfer by
employees. Journal of Knowledge Management, 5, 1053-1076. doi:10.1108/JKM-03-2016-
0136
Litchfield, K., Javernick-Will, A., & Maul, A. (2016). Technical and professional skills of
engineers involved and not involved in engineering service. Journal of Engineering
Education, 105(1), 70-92. doi:10.1002/jee.20109
Millar, C. C., Chen, S., & Waller, L. (2017). Leadership, knowledge and people in knowledge-
intensive organizations: Implications for HRM theory and practice. The International Journal
of Human Resource Management, 28(2) 261-275. doi:10.1080/09585192.2016.1244919
Mills, A. J., Durepos, G., & Wiebe, E. (2010). Encyclopedia of case study research (Vols. 1-0).
Thousand Oaks, CA: SAGE Publications Limited. doi:10.4135/9781412957397
Nam Nguyen, H., & Mohamed, S. (2011). Leadership behaviors, organizational culture and
knowledge management practices: An empirical investigation. Journal of Management
Development, 30(2), 206-221. doi:10.1108/02621711111105786
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization
Science, 5(1), 14–37. doi:10.1287/orsc.5.1.14
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies
create the dynamics of innovation. New York, NY: Oxford University Press.
Perjanik, N. S. (2016). Tacit knowledge capture and the brain-drain at electrical utilities
(Doctoral dissertation). Retrieved from
https://scholarworks.waldenu.edu/cgi/viewcontent.cgi?article=3524&context=dissertations
Pereira, C. A. B., Alves, H. M. B., & Ferreira, J. J. M. (2016). Impact of tacit knowledge on
customer loyalty. The Service Industries Journal, 36(15-16), 827-845.
doi:10.1080/02642069.2016.1272596
Pérez‐Luño, A., Saparito, P., & Gopalakrishnan, S. (2016). Small and medium‐sized enterprise’s
entrepreneurial versus market orientation and the creation of tacit knowledge. Journal of
Small Business Management, 54(1), 262-278. doi:10.1111/jsbm.12144
Qu, R., Janssen, O., & Shi, K. (2015). Transformational leadership and follower creativity: The
mediating role of follower relational identification and the moderating role of leader creativity
expectations. The Leadership Quarterly, 26(2), 286–299. doi: 10.1016/j.leaqua.2014.12.004
Ragsdale, J. (2018, May 8). The state of knowledge management: 2017. Technology Services
Industry Association, Retrieved from www.tsia.com/resources/the-state-of-knowledge-
management-2017
Reder, W., Bose, A., Flueck, A., Lauby, M., Niebur, D., Randazzo, A., & Wayno, F. (2010).
Engineering the future. IEEE Power and Energy Magazine, 8(4), 27-35.
doi:10.1109/MPE.2010.937125
Ren, X., Deng, X., & Liang, L. (2018). Knowledge transfer between projects within project-
based organizations. The project nature perspective. Journal of Knowledge Management, 22,
1082-1103. doi:10.1108/JKM-05-2017-0184
Tsai, Y., Wang, H., & Yuan, C. (2015). Transformational leadership and job performance: The
case of SMEs in Taiwan. International Journal of Arts and Commerce, 4(8), 57–71. Retrieved
from https://www.ijac.org.uk/images/frontImages/gallery/Vol._4_No._8/7._57-71.pdf
Tse, H. M., Huange, X., & Lam, W. (2013). Why does transformational leadership matter for
employee turnover? A multi-foci social exchange perspective. The Leadership Quarterly,
24(5), 763–776. doi: 10.1016/j.leaqua.2013.07.005
Wang, Z., Zhou, H., & Ding, Y. (2010). Knowledge sharing and new business development in
engineering consulting organizations. In Information Science and Engineering (ICISE), 2010
2nd International Conference on (pp. 310-314). IEEE. doi: 10.1109/ICISE.2010.5691164
Witmer, A. (2018). Contextual engineering assessment using an influence identification tool.
Journal of Engineering Design and Technology, 16(6), 889-909. doi:10.1108/JEDT-05-2018-
0091
Yazan, B. (2015). Three approaches to case study methods in education: Yin, Merriam, and
Stake. The Qualitative Report, 20(2), 134-152. Retrieved from https://nsuworks.nova.edu/tqr/
vol20/iss2/12
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Knowledge loss resulting from an aging workforce continues to be a management nightmare that has obliged many organizational leaders to develop strategies aimed at documenting mission-critical knowledge. Yet knowledge captured and stored in repositories continues to lack quality. The purpose of this study was to explore the impact of integrating quality management into the tacit knowledge capture process. Further studies on the effects of personality in the knowledge capture processes could lead to insights on reasons for diminished knowledge quality. From a social perspective, the implementation of a model that encompasses personality and quality management could improve decision-making processes.
Article
Full-text available
Purpose This paper aims to introduce a new thought process and associated predictive tool to assist designers of infrastructure for unfamiliar rural societies in understanding the specific non-engineering influences that can lead to greater effectiveness of engineered infrastructure. Design/methodology/approach Using sociological principles, a simple checklist tool has been designed to assess specific societal conditions that may influence intervention outcomes. The tool, when weighted by regional predispositions, allows the designer to incorporate five non-engineering influences into technical design of engineered infrastructure. Findings Early deployment of the tool indicates that the predictive process helps to adapt technical designs to societal contexts. It also enhances consultant understanding of the client’s values and needs to achieve a collaborative technical solution. Research limitations/implications Long-term outcomes have not been assessed, so additional time is needed to confirm the value of context in design performance. Further evaluations will refine the technical guideline process as well. Practical implications Merging sociological understanding with technical design allows engineers to assimilate client values and indigenous beliefs into an infrastructure, preventing rejection due to incompatibility with local context. Originality/value The concept of contextual engineering, which melds technical approach with societal influences, is the original contribution of the author, as is the predictive tool.
Article
Full-text available
Purpose This paper interrogates the relationships between tacit knowledge (of professionals) and performance measurement regimes (of post-modern organizations). Drawing on Polanyi’s (1958, 1968) ideas about tacit knowledge and Lyotard’s (1984) theory of performativity with regard to criteria such as profit-performance the applicability and relevance of tacit, working knowledge in the internet age is assessed. The paper examines: the effects of context on knowledge management (KM); tacit knowledge and performativity around the production, validation and assessment of knowledge within organizations; KM and the mercantilization of knowledge and critical questions as to how performativity impacts tacit knowledge and KM in the digital era. Design/methodology/approach The paper deconstructs popular and fashionable narratives around tacit knowledge and KM to critically appraise approaches to knowledge construction and transfer in contemporary and commercial contexts. The study draws on various specific critical incidents in commercial practice to assess where (and why) things went wrong with KM practices in the aftermath of the global financial crisis and in more recent attempts at large scale corporate fraud. Findings KM should not trade exclusively in instrumentalized, performative knowledge. Tacit knowledge involves a sense of what is going on and this is not easily measured or codified. Experiential understanding of what is required when engaging with clients, colleagues, senior partners, other businesses (and cultures) and the political contexts in which employees work is central to tacit knowledge. So too are performance measures and reward systems and herein lies the “uneasy dynamic”. The nature of any transfer of tacit knowledge is problematic, but such employee know-how remains critical to organizational performance and validating the use-value of knowledge for the purposes of KM. Originality/value Researchers have used the theories of Polanyi and Lyotard, but rarely combined them to investigate KM practices critically in post-modern organizations. By using the two theories, this paper critically examines the contemporary construction of tacit knowledge from perspectives that include the different discourses and localized practices through which it is produced and consumed.
Article
Purpose This paper examines the relationship between the tacit knowledge held by learning and development professionals and performance measurement regimes of post-modern organisations. Design/methodology/approach Drawing on Polanyi’s (1958; 1968) influential ideas about tacit knowledge and Lyotard’s (1984) theory of performativity with regard to criteria such as profit-performance, it assesses the applicability and relevance of tacit, working knowledge in the internet age to the daily working lives of industry training and development personnel. A central question for the study is whether such professionals can still tap into and use their tacit know-how without having it reduced by contemporary performance-oriented regimes of “knowledge”. Findings It is argued that there is a powerful interaction between tacit knowledge and narratively produced performance regimes – which are now supported by digital-age technologies including developments in artificial intelligence (AI). It has also been argued that fostering organisational environments that encourage open communication and allow a role for critique remains vital. Research limitations/implications With systems of knowledge production including AI at the point of potentially overriding human decision-making processes, more research is required into possible implications of uploading workers’ tacit, working knowledge in different contexts and ways to foster open communication and critique in organisations. Originality/value The overt linking of classic theories – Polanyi and Lyotard – and applying these to contemporary (digital-age) training and development contexts is original.
Article
Purpose This paper aims to investigate how project nature affects the effectiveness of knowledge transfer between projects in project-based organizations (PBOs) and to analyze the roles of inter-project communication, transfer intention and information technology (IT) in the influencing process. Design/methodology/approach This paper adopted a questionnaire survey method to collect data from construction enterprises in China and subsequently proceeded to structural equation modeling analysis with a total of 261 samples. Findings The results indicate that the similarity of projects could promote the inter-project communication and improve transfer intention, which further influences knowledge transfer effectiveness positively within PBOs. The urgency of projects has a negative impact on inter-project communication and transfer intention. The temporality of projects also negatively affects inter-project communication. They consequently hinder the knowledge transfer behaviors between projects. Additionally, the application of IT improves the frequency of communication and makes up for the negative impact of geographical distance between projects on knowledge transfer. Practical implications Based on the results, a series of strategies is recommended to improve knowledge transfer effectiveness between projects, including standardizing project management, promoting information construction, establishing a post-project evaluation system and creating a shared culture, so that the competitive advantages of PBOs could be improved. Originality/value The study explores the factors influencing knowledge transfer between projects from the perspective of project nature and provides guidance for enhancing knowledge management and project management practices.
Article
Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model, based on the Unified Theory of Technology Acceptance (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the Unified Theory of Technology Acceptance (UTAUT) with new variables concerning relative usability and user autonomy, and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like relative usability and user autonomy explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions, and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications The model explains the 55% behavioral intention of employees to use mobile technologies for knowledge transfer. Even though is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not take into account m-learning acceptance for knowledge transfer in industrial sectors. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high user autonomy through their ability to: select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account user autonomy and relative usability support the process of employees capturing, distributing, and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as user autonomy and relative usability with several additional connections between existing UTAUT variables.
Article
Tacit knowledge about customers held by contact personnel is a priority for better satisfying customer needs and creating added value. This research project seeks to develop a model to analyse the impact of tacit knowledge on loyalty for rural tourism lodgings. A questionnaire was applied to the clients of rural tourism lodgings who had either already consumed rural tourism services at least once or were then currently consuming such services. By applying structural equation models, the results demonstrate how tacit knowledge does improve the performance of employees in engaging in affective bonds and enables better understanding of the needs and expectations of customers. Furthermore, the results confirm how tacit knowledge about customers represents a resource able to promote customer loyalty and thus a very strong potential source of competitive advantage.
Article
Purpose A growing number of foreign consulting firms have been engaged in the Chinese construction market where the supervision system, as a kind of engineering consultant service has been widely implemented. However, the performance of supervision system varies significantly across regions. Therefore, foreign consulting firms are in desperate need of related performance benchmarking statistics to determine the niche market. A major issue is lack of a quantitative method to objectively evaluate regional supervision systems’ performance. The paper aims to discuss these issues. Design/methodology/approach A new regional construction supervision system benchmarking model was developed via the principal component analysis method. This model is based on key performance indicators drawn from annual official statistics. This list of key indicators was refined by means of a focus group with selected experts. Consequently the performances of all 31 regional supervision systems were calculated and ranked. Findings Results indicate a general gap between coastal and inland regions. The various development trends of top 10 regions are analyzed and the underlying reasons are explored. Furthermore, the regions deserving more attention or currently lacking in development are identified. The supervision industry in China is shifting from a labor-intensive industry to a knowledge-intensive industry. Originality/value The proposed model provides a single quantitative parameter to conveniently benchmark the performance of various regions. The findings are vital for the benchmarking and clarification of future endeavor of the regional supervision systems and for foreign enterprises that are planning to enter the real-estate market in China.