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Managing knowledge-intensive workers

Authors:
  • The Organizational Neuroscience Laboratory | University of Surrey | Warwick University

Abstract and Figures

A manager's ability to provide knowledge workers with the personalized goals, motivation and tools they need to perform at their best will bring outstanding results.
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nature biotechnology volume 30 number 7 july 2012 1
Often, life scientists trained in academia
develop ideological conflicts while working
in industry, because their involvement in
commercial research exposes them to radical
cultural differences. Understanding the key
issues that lead to such tension will assist
managers in recognizing and addressing these
challenges.[AU: “these challenges” = the
tension or the key issues?]
Industry versus academia. An academic
scientist’s focus usually centers on the
pursuit of innovative research with the aim
of producing scientific articles. But when
working for a company, the scientist must
redirect his or her research efforts, because
the results must ultimately drive profit and
help achieve the company’s financial goals. The
shift from academic to commercial research
usually means more effort toward projects
that fit the company’s aims and less intellectual
freedom for the knowledge-intensive worker.
Scientists may resist management styles that
seem to ignore the true dynamics[AU: Which
dynamics? Scientific? Intellectual?] behind
biotech research. Given this dichotomy[AU:
Managing knowledge-intensive workers
Sebastiano Massaro
A manager’s understanding and ability to provide knowledge workers with the personalized goals, motivation and
tools they need to perform at their best will bring outstanding results.
The management of human resources (HR)
has acquired greater importance for com-
panies since the concept of the ‘knowledge
worker’ was introduced nearly 50 years ago1.
Employees in the biotech industry create,
use and share knowledge, thus making them
central to the success of their knowledge-
based companies. Yet there are recurring
issues regarding how best to manage scientists
as employees. These concerns arise mainly
because most startups do not employ HR
professionals—or if they do, they assign HR
functions to lower-level administrators2.[AU:
Do you mean that they assign all HR func-
tions to lower-level HR administrators or
that they assign HR functions to administra-
tors who are not just HR professionals?] This
article suggests a set of principles for identify-
ing these recurring issues and applying orga-
nizational leverage to direct biotech workers to
fully meet their potential.
Identifying sources of tension
Managers of life-sciences companies lacking
dedicated HR teams generally fall into one of
two categories: scientists who have ‘reinvented’
themselves as managers or de facto executives
who have entered the world of biotech with no
prior scientific experience3. The former tend to
relate to and treat employees as coworkers[AU:
Technically, they are coworkers – revise to
‘peers’ or ‘equ als’?] by assuming that they will
not only focus on their scientific duties but also
prioritize the company’s commercial interests.
The latter perceive knowledge-intensive work-
ers as traditional employees[AU: Some types
of ‘traditional’ employees have presumably
always had higher-level skills – do you mean
unskilled employees, or nonspecializing
employees?] without acknowledging their
characteristic higher-level capabilities and
skills. Consequently, both types of managers
tend to apply organizational rules and prac-
tices that often lead to workers’ disappoint-
ment. Management that is very lenient may
provide employees with too little guidance,
which increases the risk that these scientists
will lose focus on the company’s priorities. On
the other hand, supervision that is too stringent
can be destructive to workers’ creativity and
morale and can have negative effects on their
performance. It is becoming increasingly dif-
ficult for managers of knowledge workers to
find an acceptable balance between these two
extremes.
Executives must understand the needs of
knowledge-intensive workers (see Box 1),
their ‘ideological tensions’ and their individ-
ual motivations. Once aware of these charac-
teristics, managers must adapt accordingly to
improve scientists’ efficiencies.
Sebastiano Massaro is in the Management
Science and Innovation Department at
University College London, London, UK,
and the Department of Sociology at Boston
University, Boston, Massachusetts, USA.
e-mail: sebrain1@bu.edu
Box 1 Needs and characteristics of knowledge workers
Scientists and other highly skilled workers often:
[AU: To avoid
generalizing and/or seeming to patronize knowledge workers, rephrase to something
like “Need feedback on their work but prefer to be approached as peers rather than
subordinates”?]


AU: Higher
than what?]
AU: As meant by ‘priority’?] for





CAREERS AND RECRUITMENT
2 volume 30 number 7 july 2012 nature biotechnology
Key organizational levers
To succeed in applying a more individualistic
HR view, managers should establish a
dedicated framework using the company’s
culture and a style of leadership in which the
talents and needs of each employee can be
fully addressed. Managers need to recognize
remarkable talent, consultatively[AU: in
consultation with whom?] set clear objectives
and performance metrics for each employee,
and provide incentives and rewards that match
each individual’s motivations. In building
such a framework, managers can apply
several organizational levers so that the team
of employees performs optimally and each
worker is targeted individually.
Be a coach, not a boss. Managers should
ask themselves: “Are we managing or
leading?” Most knowledge workers are
uncomfortable having a manager closely
oversee their activity. Scientists are not
subordinates; they want to be considered
as associates. Managers should create a
working environment in which scientists
can ultimately monitor themselves5. To do
this, managers need to ‘personalize’ each
scientific project and be open-minded and
flexible with the company’s resources and
working conditions. The manager’s role is
then to lead these knowledge workers as a
team and optimize the strengths, knowledge
and experience of each individual within the
context of[AU: All of this is in the context
of the enterprise -- do you mean ‘to fit the
goals of the enterprise’?] the enterprise.
Set milestones. Knowledge workers are
motivated by challenge. To believe in the
organizations mission, they need to see it as
a contribution to their ‘intellectual status.
When knowledge workers understand[AU:
and support?] their company’s mission, they
are more inclined to consider it[AU: ‘it’ =
the mission, or the accomplishment of the
mission?] a milestone of their work, similar to
What is the dichotomy between?], scientists
need precise supervision to understand the
structure and purpose of building a business.
[AU: OK?]
Social interactions and education.
Researchers often associate work in biotech
companies with fewer opportunities to interact
and brainstorm with their intellectual peers.
Many scientists view these relationships as
crucial to their endeavors and, therefore, desire
a workplace structure that encourages dialog.
Employment in a biotech company usually
means limited opportunities for independent
research; therefore, scientists express creativity,
inventiveness and understanding through
social interactions.[AU: Would they not
ideally also express these things, to some
degree at least, through their work at the
company?] Thus, they crave opportunities
to attend training sessions, courses and
conferences so that they can interact with
colleagues, stay connected to the academic
world and continue their education.
Personal interests and attitudes. Most
knowledge workers view their contributions
and skills as unique. However, this mind-set
can lead to tension with management if an
individual scientist is viewed as merely one
among many. When treated as no different
from any other colleague, the scientist feels
interchangeable and, therefore, not fully valued.
In other words, employees often lament that
managers are not flexible enough to customize
the development of research projects according
to their passions and capabilities. Scientists
want to be assigned duties that closely match
their primary interests and goals.
The manager’s role is to understand
these obstacles and channel workers’ efforts
into targeted areas that will contribute to
the company’s goals. Instructing scientists
to perform at full capacity is not a matter
of making them work harder but of
understanding their individual characteristics.
Targeting the individual
The first two issues[AU: It’s not immediately
clear which two issues you mean here. Can
you name them briefly?] described above can
easily be addressed at a collective level via a
company structure that highlights the goals of
the firm and an increase in social exchanges for
employees[AU: Is this referring to the confer-
ences, trainings, etc mentioned above? If so,
perhaps ‘social and intellectual exchanges’
would be clearer.]. The biggest challenge for
managers, however, is in responding to the per-
sonal concerns and needs of their employees.
Managers cannot use identical management
styles and reward schemes for every knowl-
edge worker. Instead, they need to couple tra-
ditional, collective HR thinking with a more
individual-oriented perspective4 (Tab le 1).
Managing HR[AU: It’s not clear what’s
meant by this – ‘HR administrators’ or ‘the
act of managing HR’?] in biotech companies
usually assesses employees as equal knowledge
contributors in achieving the company’s aims.
Conseque ntly, the attribut ion of responsibilitie s
and outcomes, as well as incentives or rewards,
is usually addressed to a team or collection of
scientists. However, this approach should be
integrated with one that treats each scientist
as a distinct carrier of knowledge. Thus,
reward schemes—as well as accountability
and research outcomes—should be tied to the
individual scientist’s expertise, achievements
and needs (for example, one employee may
prefer to be rewarded for an accomplishment
with customized working hours; another may
prefer a monetary prize).
Table 1 Collective versus individual perspectives
Key dimension Collective perspective Individual perspective
Knowledge 



goals
 



scientists

Rewards 





Table 2 Questions for [AU: developing?]an individual-centered HR strategy [AU:
Table layout OK?]
Identify core workers 


Identify core workers’
attitudes






nature biotechnology volume 30 number 7 july 2012 3
an academic publication. The more connected
a scientist feels to a project and its implications,
the more motivated he or she is likely to be.
Managers should reduce the number of
formal meetings with structured agendas,
keep scientists away from bureaucratic tasks
and leave knowledge workers free to fulfill
their responsibilities as they see fit, with
minimal direction from their supervisors.
It is also important to maintain an academic
standard of working[AU: It’s not clear how
an academic standard of working would
differ from a corporate one -- do you mean
that the style of work or work environment
should be academic?]; social exchanges and
collaborations with universities should be
encouraged.
Establish trust. The creation of familiar
ties between managers and knowledge
workers is a fundamental aspect of HR
management[AU: In general, or in this type
of company?]. Informal communication,
effective behaviors[AU: as meant by ‘affective
behaviors’? Or do you mean something like
‘behaviors that are [positive/constructive/
etc] in affect’?] and professionalism are
crucial, as they enable managers and scientists
to learn about each other and their work, thus
providing the foundation for collaboration.
In short, managers should create a working
relationship that is both personal and
professional—one that is built on trust—with
each of their employees6. [AU: OK?]
Value each scientist uniquely. To effectively
manage knowledge workers, managers must
reward, recognize and coach each of them indi-
vidually. Answering a few key questions about
core workers’ roles and attitudes (Ta bl e 2 ) will
increase the manager’s ability to customize an
approach to each knowledge worker.
Conclusions
The effective management of knowledge-
intensive workers is essential to any biotech
company’s success. Accordingly, management
teams must continuously evolve, shaping
a culture that improves the company’s
ability to motivate its scientists. Ultimately,
outstanding results are driven by the
manager’s ability to equip knowledge workers
with the tools and environment they need to
perform at their best. The manager should
think of scientists as brilliant painters, each
with a different set of colors, and then work
to provide the appropriate organizational
canvas.[AU: OK?]
COMPETING FINANCIAL INTERESTS
The author declares no competing financial interests.
 The Landmarks of Tomorrow
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 Int. J. Hum. Resour. Manage.
17
      Bioentrepreneur

       Hum. Resour.
Manage. 48
   Hum. Resour. Manage. 33 
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    Proc. Acad. Manage. 1
AU: Please check this reference carefully; we
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... The postdoctoral context (which we examine in Study 1) is a good case in point because the postdoctoral position often engenders significant concerns about one's future in the context of long work hours and a perceived lack of institutional support (Akerlind, 2005). Upon securing a position within an industry setting (the context examined in Study 2), the knowledge worker may encounter other stressors, such as those related to lack of autonomy, the need to supervise others and a management team that appears to care more about the bottom line than about basic science (Massaro, 2012). Irrespective of the specific context that knowledge workers find themselves in, job stressors and strains can significantly impact work performance (Gilboa et al., 2008). ...
... The results of Study 1 provide a good initial basis for thinking that W-EI facilitates job performance among knowledge-intensive workers. Nonetheless, we should recognize that the postdoctoral position is a unique one (Akerlind, 2005) and most knowledge-intensive employees work in more stable contexts within industry settings, which have their own pressures and responsibilities (Massaro, 2012). We therefore sought to supplement Study 1 with a second study that focused on researchers within industry settings. ...
... Whereas postdoctoral employees have relatively homogeneous job descriptions (Akerlind, 2005), there is considerably more variance in the sorts of activities and contexts that industry researchers encounter (Massaro, 2012). Further differences relate to autonomy, in that postdoctoral employees are often left alone (for good or for bad) in the conduct of their research (Nerad and Cerny, 1999). ...
Article
Purpose This paper aims to examine whether work-related emotional intelligence (W-EI) benefits job performance among knowledge-intensive workers. Design/methodology/approach Postdoctoral researchers (Study 1) and industry researchers (Study 2) were recruited (total N = 304). These knowledge workers completed an ability-based emotional intelligence (EI) test and characterized their work-related performance. Potential moderators were also assessed. Findings There were positive relations between W-EI scores and both task performance and creative performance. In addition, these relationships were stronger in the context of higher levels of job negative affect and/or role overload. Originality/value To the best of the authors’ knowledge, these findings are among the first to demonstrate the value of the EI construct within a knowledge-intensive workforce.
... The first stage that can be done by the organization is by providing training [28][29][30] to the knowledgeable employees. The training can be seen in two folded objectives whereby the training is provided in the mission of KM awareness and implementation. ...
... Provide autonomy, freedom and flexibility [24,29,30] to the knowledge workers is one of the strategies in managing peopleware and heartware in the organization. At the same time, the organization may promote positive thought culture among the knowledge workers. ...
... Motivation aspect in terms of rewards, recognition, benefits and incentives could not be denied as a factor in managing the knowledgeable workers and successful of KM implementation [11,24,29,30]. This motivation can be divided into monetary aspect such as cash rewards, incentives, competitive pay [24,29] or non-monetary basis like recognition of success [24]. ...
Conference Paper
Full-text available
The important of knowledgeable workers (peopleware and heartware) in order to achieve success in knowledge management implementation cannot be doubted. They are the core and backbone to the KM practices in the organization. Therefore, proper plans and strategies should be drawn carefully by the organization to winning the peopleware and heartware prior to the KM implementation. Based on the literature review, this study has highlighted the important of knowledge workers as asset in the organization. Additionally, ideas on how to please this asset to cooperate with the organization to ensure the success of KM practices are given.
... The objective of the current study is to validate the HAW scale in the Indian context from the perspective of knowledge workers. The knowledge-intensive employees are self-directed effective learners who value difficult assignments, chances to pursue, issues to overcome and suggestions about their performance (Massaro, 2012). Knowledge workers' distinctive and specialized expertise is their greatest attribute. ...
Article
Full-text available
Purpose The purpose of this study is to analyze the properties of Happiness at Workplace (HAW) scale and investigate the validity of the scale in the Indian context using a sample of EdTech employees (knowledge-intensive population). This is consistent with encouraging the happiness literature as well as facilitating positive approaches at the working place in developing economies. Design/methodology/approach Responses were collected via Questionnaire from the employees of EdTech Companies, and a total of 500 responses were investigated. The factor structures, reliability and validity of the HAW scale were tested with the help of SPSS and Smart PLS Software Version 4.0.8.7. Findings The findings of this study showed that all the criteria of reliability and validity for validation of HAW scale were met when used in Indian culture, and the higher-order construct of HAW scale was retained. Originality/value Because of the differences in work cultures and societal structures among nations, the validation of HAW scale in the Indian context is needed, as the majority of the studies in the field of happiness were conducted in Western countries. So this study contributes significantly by validating the HAW scale in India by using a sample of EdTech employees.
... These relationships are indeed intricate. All actors involved may share a key goal, such as that of addressing a clinical challenge, yet each of the parties also preserves their individual biases (Massaro, 2012;O'Mahony and Bechky, 2008). Typically, the more diverse the backgrounds of the participants, the more pronounced the divisions within the nanofacility. ...
Article
Recently, nanotechnology has put forward considerable opportunities for healthcare–including novel diagnostic and therapeutic prospects–leading to the emergence of nanomedicine. Together with such technological advancements, social science research has placed increasing attention to this emerging and complex discipline. Still missing, however, is a systematized, coherent understanding of nanomedicine as a discrete socio-technical system. By charting the extant literature and drawing on insights from science, innovation, technology, and organizational studies, we review the field of nanomedicine and pinpoint key thematic areas in which the field unfolds. Collectively, our work advances both theoretical and practical aspects as to why and how nanomedicine may be best understood as an idiosyncratic setting for the advancement of novel social science research inquiries.
... Certain professionals such as engineers, programmers, architects, scientists physicians, pharmacists, design thinkers, lawyers, and academicians, and any other white-collar workers, whose line of work requires the one to "think for a living" fall in the category of knowledge workers (Davenport, 2005). According to Massaro (2012), the knowledge-intensive workers are self-directed continuous learners who prefer challenging work, opportunities to pursue, problems to solve, feedback on their work, have own working schedules and may not necessarily be comfortable with imposed deadlines. Thus, the data were collected from full-time Doctors, Professors, Lawyers, and Engineers working in India. ...
Article
Full-text available
Purpose With intention to promote growth of happiness literature in non-western settings and facilitate positive interventions at workplace, the purpose of this paper is to examine the psychometric properties and validate the short version of happiness at workplace (S-HAW) scale using knowledge workers’ sample in the Indian context. Design/methodology/approach The S-HAW scale was validated using data from 226 Indian knowledge workers from public and private sector organisations. The mixed-mode approach was used for collecting data, whereas factor structures, reliability and validity scores were also examined with the help of SPSS AMOS 21. The study included initial descriptive analysis, item analysis, exploratory factor analysis and confirmatory factor analysis. Findings The results of the study discovered that psychometric properties of the S-HAW scale were similar to those of originally developed scale when applied in the Indian context. Hence, the higher-order structure was retained in Indian settings. Originality/value Despite the changes in work-related values and societal structures between Western and Asian nations, this study provides a significant contribution to empirically confirming that the different cultural scales can also show good fits in Collectivist cultures. The study can bridge the gap between Asian and Western nations with the uniform measure of HAW. Thus, more cross-cultural studies usually comparative in nature welcomed with S-HAW Indian version scale for knowledge workers.
Article
Purpose The aim of the article is to propose an integrated definition of knowledge-intensive business processes (kiBPs) and a model of business process (BP) knowledge intensity and develop holistic criteria and measures for the assessment of BP knowledge intensity. Design/methodology/approach A qualitative systematic literature review (SLR) was carried out as a means of evaluating and interpreting all available research relevant to the research topic, in this case, BP knowledge intensity. The SLR is based on the resources of the ProQuest, Springer Nature and ScienceDirect full-text databases. Regarding inclusion criteria, the authors considered peer-reviewed journals and conference proceedings published in English in the last 10 years. The results were summarized and synthesized narratively. Findings Based on the review, the authors classified existing knowledge intensity definitions, starting with knowledge-intensive economy or country, sectors and services, through knowledge-intensive organizations, BPs, to tasks. Then, an integrated definition of kiBPs was proposed and the business process knowledge intensity model encompassing three domains developed. Finally, 12 knowledge intensity criteria with measures were proposed. Originality/value The major value of this research is that it presents a novel approach to understanding BP knowledge intensity and kiBPs. By creating the BP knowledge intensity model, supplemented by the assessment criteria and measures, the authors contribute to the more effective management of kiBP, help find similarities and differences between various knowledge-intensive processes, as well as provide important implications for their effective management and research.
Article
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the Editors-in-Chief. After a thorough investigation, the Editors have concluded that the acceptance of this article was partly based upon the positive advice of one illegitimate reviewer report. The report was submitted from an email account which was provided to the journal as a suggested reviewer during the submission of the article. Although purportedly a real reviewer account, the Editors have concluded that this was not of an appropriate, independent reviewer. This manipulation of the peer-review process represents a clear violation of the fundamentals of peer review, our publishing policies, and publishing ethics standards. Apologies are offered to the reviewer whose identity was assumed and to the readers of the journal that this deception was not detected during the submission process.
Chapter
Knowledge is power! From the time of Sir Francis Bacon’s observation (1561–1626) so many years ago, very little has changed. In fact, knowledge has created even more power for those who own it. Knowledge is unfathomable and difficult to capture; it is impenetrable, immeasurable, cannot be weighed, and exists in the minds of people. Therefore, it is no understatement to say that the associated term, ‘contingent knowledge worker’, is a mysterious and evasive phenomenon, and its true meaning to the world of work has not yet been unveiled.
Article
Full-text available
Strategic human resource (HR) management argues that in knowledge-driven industries people management needs to play a strategic role. An exploratory study of eight biotech start-ups in the US and Australia, however, finds that most do not employ HR professionals or have a lower-level administrator handle HR. How can this be explained? The case studies reported identify a number of reasons for the lack of strategic HR and identify the advantages and disadvantages of having line managers take the lead in people management in contrast to having a strategic HR leader being part of the top management team. Several propositions are also advanced that are worthy of further research, concluding that while there are many potential benefits to hiring a strategic HR professional in a biotech start-up, this is likely to occur under a rare set of conditions.
Article
A theme in the career paths of scientists and engineers is their transition into management. This transition is described as difficult both for those who make it and for those who do not. This article uses Human Research Information System data from a large research & development firm to explore an alternative perspective in which the transition is seen as an efficient human resource promotion strategy. The results support the alternative explanation and indicate that the policy serves the firm well in allocating human resources. The results suggest that good technical employees tend to become good managers and that if coupled with aggressive training for those technical employees who do not move into management, the best workers stay with the firm.
Article
In this paper we outline an increasingly predominant, “communal,” perspective of the emerging knowledge economy and explore its emphasis on various nonmarket mechanisms of production. Although the communal perspective suggests organizational forms, governance mechanisms, and knowledge processes that may facilitate knowledge creation and knowledge transfer, we argue that it misses the seemingly contradictory trends of organizational disaggregation and the foundational importance of market mechanisms in knowledge creation. We contrast and partly reconcile these two perspectives of the knowledge economy and highlight key considerations related to the microfoundations of knowledge and human capital management. © 2009 Wiley Periodicals, Inc.
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