Affective Factors for Successful Knowledge Management

 

Peter A.C. Smith

The Leadership Alliance Inc.

 

Accepted for publication: International Journal of Sociotechnology & Knowledge Development, Vol. 2, No. 1, 2010

 

Abstract

 

The paper proposes that any effort to successfully manage knowledge must be concerned not only with relevant technology, but also with the plethora of affective factors present in the workforce. The aim of this paper is to heighten awareness of the impact of these affective factors on KM implementation, and to offer practical approaches that it is contended will assist in “getting the affective factors right”.

 

Introduction

 

For more than a decade Knowledge Management (KM) has been vigorously proposed as a means to optimize enterprise performance and sustainable competitive advantage in the face of the rapidly increasing complexity and ambiguity of our modern global business environments (Nonaka & Takeuchi, 1995; Davenport & Prusak, 1998; Choo & Bontis, 2002; Marqués et al, 2006; Karaszewski, 2008).

 

During the early '90s KM essentially referred only to information systems (I/S) technologies related to informational databases, artificial intelligence, and Internet/intranet applications where information is shared across I/S networks. An understanding emerged during this period that to derive actionable meaning from information it was essential that the explicit and tacit dimensions of organizational knowledge be developed in a complimentary and dynamically reciprocal manner (Nonaka & Takeuchi, 1995).

 

By the late-90s there was emphasis on treating KM in a more systemic organizational sense to include the social as well as the I/S technological aspects of any attempt to manage organizational knowledge. The work of Davenport and Prusak (1998) led the way in emphasizing that any effort to manage knowledge must be concerned not only with the I/S technology, but also the associated social issues., and Wiig (2000; p. 14) cited a number of authors to support his contention that “Overall KM will become more people-centric because it is the networking of competent and collaborating people that makes successful organizations”. Since that time a broad-based acceptance of the inclusive nature of KM has developed, together with a more practical appreciation of the perils of KM (Chua & Lam, 2005; Dufour & Steane, 2007).

 

In parallel there has been increasing acknowledgement of the impact of organizational culture on the success or failure of KM initiatives (Guzman & Wilson, 2005; Pyöriä, 2007) including the constructive or detrimental influences of the more personal affective, sometimes unconscious, factors such as beliefs, emotions, attitudes, and instincts (Gabriel & Griffiths, 2002; Scherer & Tran, 2003; Smith & McLaughlin, 2003; Malhotra, 2004; Lucas, 2005; Figler & Hanlon, 2008).

 

The aim of this paper is to heighten awareness of the impact of affective factors on KM implementation, and to offer practical approaches that it is contended will assist in “getting the affective factors right”. First a tried-and-true model for optimizing KM performance is reviewed that has been utilised successfully with a broad range of organizations for almost two decades (Smith & Sharma, 2002a; p. 767). Next this model is used to frame descriptions of initiatives that shape various affective factors for successful KM implementation. In exploring and defining the drivers for successfully implementing KM, the concept of a Personal Knowledge Management System (PKMS) is described.

 

Background

 

Most managers will agree that their organization's capability to act is heavily dependent on its knowledge assets and how they are managed. In this regard, information technology (I/T) may be used to create, capture, organize, access and use the intellectual assets of the organization; however as Davenport and Prusak assert (1998; p. 123) “Knowledge management is much more than technology, but ‘Techknowledgy’ is clearly part of knowledge management”. In other words I/T is an enabler (Allee, 1997). Coakes (2006; p. 581-582) tabulates the several roles and ways that I/T may support KM, but counsels “Successful knowledge management continues to need a socio-technical approach where the social aspects of knowledge creation, storage, and sharing need to be considered alongside the technical” (Coakes, 2006; p. 591).

 

As understanding of KM has become more sophisticated, the traditional notion of knowledge as the assets of strictly defined “professional” groups has become untenable when compared to an organization's wide-ranging knowledge requirements (Heiskanen, 2004), and the awareness that knowledge-bytes must be shared and distributed has gained ground in the past decade (Nosek, 2004; Kafai & Resnick, 1996; Resnick et al, 1993).

 

At the same time there has been a growing interest in the dynamic aspects of knowledge husbandry. Nonaka and Konno (1998) model the acquisition and construction of knowledge as a cyclic process based on socialization, externalization, combination, and internalization. Socialization includes the essential social interaction needed to learn new knowledge; externalization converts tacit knowledge to explicit; combination facilitates transfer of explicit knowledge to explicit knowledge; and internalization converts the explicit knowledge back to tacit knowledge.

 

Nosek (2004) considers this acquisition and construction of knowledge as a collective process of sense-making, rather than an individual process. This author asserts that we must abandon the concept of knowledge sharing as transmitting data in favor of the notion of “… effecting the right ‘cognition’, in the right agents, at the right time” (Nosek, 2004, p. 54). Sense-making here is interpreted as “the process whereby people interpret their world to produce the sense that shared meanings exist” (Leiter in Gephart, 1993, p. 1469-70), and the collective process involves people actively engaging in interpreting the social world through textual accounts and ongoing dialog that describes and make sense of the social world (Gephart, 1993; Weick, 1979).

 

The emerging emphasis on the importance of socialization for effective knowledge management and on the socio-technical concerns related to I/T knowledge systems has focused attention on the prevailing organizational culture. Culture here is defined as the shared values, beliefs and practices of the people in the organization (Schein, 1992), and includes the critical impact of non-rational affective factors. Many organizations operate under a facade of rationality (Smith & Sharma, 2002b) so that affective factors typically remain un-acknowledged or un-discussable, and less than optimum KM performance is often attributed to other (often blameless) organizational undertakings (Smith & McLaughlin, 2003). In order to capture the anticipated benefits of KM, an organization must strike an appropriate balance between rationality/technical efficiency and non-rational factors during implementation. In the next section some practical approaches are offered that will assist in “getting the peopleaffective factors right”.

 

Getting the People Factors Right

 

A systemic model based in Chaos theory (Fitzgerald, 2002) is recommended to frame descriptions of initiatives that shape various affective factors for successful KM performance. The model consists of three ‘fields’ termed Focus, Will and Capability. The generic model is presented in Figure 1, and represents here a performance system directed to satisfying the KM outcomes desired.

 

Figure 1: KM Performance System

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


The three fields form a dynamic system. Focus represents a clear definition and understanding of the KM system proposed; Focus is associated with questions such as What ..?; How ..?; Who ..?; Where ..?; When ..?; Why ..? The field of Will represents strength of intent to action the performance defined in Focus; Will is very strongly associated with the affective factors noted above. Capability represents the wherewithal to transform into reality the KM system defined in Focus; Capability is associated with such diverse areas as skills, software/hardware, budgets etc. A change in any one of these fields may effect a change in the state of one or both of the other fields.   

 

Optimal KM performance is favoured when Focus, Will and Capability form a self-reinforcing system, with all fields in balance and harmony. As Figure 1 shows, current performance potential is represented by the degree of overlap of the circles; optimal performance is represented by complete congruence of all three circles. Areas where only two fields overlap in Figure 1 are typical of real-life situations. These imbalances lead to misdirected and wasted efforts as well as loss of performance. For example, organizations often concentrate on developing a technology-based KM system (strong Capability) without regard for the fact that their employees don’t understand why KM is needed (weak Focus), and without sensitivity to an individual’s feelings that their knowhow - their source of power - is being removed (absent Will).

 

Reasons preventing organizations from achieving well-targeted Focus, Will, and Capability are complex and illogical, as one would expect where tacit feeling-laden concerns are involved. For example, organizations typically operate with a façade of rationality although Will involves irrational issues. Will is often perceived as negative, linked to inappropriate expressive arenas of life rather than to the goal-orientation that drives organizations. Emotional maturity is equated with the control or repression of feelings, and the word “emotional” is used in a belittling sense as a deviation from intelligence (Putnam & Mumby, 1993, p. 36). In 1973 Egan wrote “Emotional repression in organizations is undoubtedly still a far greater problem than emotional overindulgence” (p. 61). Thirty-sixfive years later this statement is as true as ever.

 

The three fields also constitute a strange attractor that according to Chaos theory assists individuals make meaning to produce order from chaos and help structure what is happening at the individual’s level. The emergent KM system is formed as a result of all the interacting/inter-dependent activities that take place as individuals interpret the strange attractor’s fields and take action – in other words, KM will be pulled naturally into being rather than being pushed.

 

In the following subsections initiatives are outlined that an organization may undertake to influence the three fields so that supportive affective factors may develop. Each field is treated individually; however, how activities initiated to shape one field influence one or more other fields is noted.

 

Focus must pull people toward a visionary core through their involvement, and the most critical element of Focus is the organization’s KM “vision”. Vision makes its strongest contribution to Focus when it results from a sharing of the individual yearnings of all employees, and the organizational vision must be aligned to the people, rather than the people to the vision (Mahesh, 1993; p. 230-231; Kouzes & Posner, 1995; p.129-133). Encouraging individual managers to explore with their teams development of a shared local KM vision (consistent with that of their organization) for their particular function is often sufficient.  Note that when employees themselves clarify the KM Focus, the process helps them develop the appropriate Will.

 

Capability includes the physiological needs of individual employees, and it is important to satisfy these needs since they directly correlate with the quality of individual performance (Fortune, 1997). According to Maslow (1943) human beings have an innate requirement to satisfy a hierarchy of needs, including self-actualization (Mahesh, 1993; p. 35). Self-actualisation is critical to the development of the cultural traits that successful KM implementation demands; however, it is very important that needs at lower levels of Maslow’s hierarchy be satisfied before attempting to introduce Will-related activities aimed at self-actualisation.

 

Will may best be shaped by pulling it into being via the initiatives discussed above for Focus and Capability; however, activities may be undertaken that shape Will more directly. For example by addressing how people in an organization meet to discuss a KM initiative. Often at meetings the last thing people want is to reveal their real underlying concerns. On the surface, all may appear well, and discussion proceeds in a calm and dignified manner; however, under the surface, a more turbulent encounter is taking place that will profoundly affect any subsequent actions.

 

One way to picture a meeting is to imagine people as icebergs floating together in the sea. When icebergs meet, the submerged parts of the icebergs (people’s unawareness), which is much greater than the visible tips of the icebergs (people’s awareness), meet first. Gaunt (1991) provides details of the group conscious and unconscious awareness at various levels of an ‘iceberg’, and points out that the content is often defeated by the unarticulated process, which is largely about building trust. For example, the iceberg tip might be articulated as “How do I develop a KM system for my organization?” whereas the underlying problem that will need resolution might more realistically be defined as “How do I and the people in my team deal with feelings related to power loss and vulnerability etc?” Such KM icebergs cannot be fused into a cohesive whole by examining and responding only to their tips.

 

Concerns such as these may be explored through group dynamics (most notably psychoanalysis, field and systems theories, and Gestalt). Egan (2002) has proposed a system of counselling skills whereby emotions can be explored and resolved or managed. In the next section, group interventions (PKMS Workshops) that are used to build on Egan’s work are described. These interventions help in the development of insight into unconscious difficulties and highlight blocks to effective working - without such interventions, no meaningful KM progress is likely.

 

Personal Knowledge Management System (PKMS) Workshops are recommended to give individuals opportunities to explore and define the strange attractor fields discussed above. Participants review barriers and anxieties related to their personal understanding and experience of KM, and develop a PKMS populated with appropriate personally-relevant cognitive, affective and resource related factors. Workshop activities are based on a form of action learning pioneered by Gaunt (1991). This approach utilises counselling and group work skills that draw on psychodynamic and Gestalt theories. It is favoured over the “project model” advocated by Revans (1982) because of its recognition that affective factors affectinfluence performance.

 

During a workshop, participants are familiarised with Egan’s problem solving process (Egan, 2002). This process is about exploring a problem, then moving to a detailed understanding of the underlying issues, followed by action planning. People develop the skills to look below the waterline of the ‘iceberg’, and explore the semi- and un-conscious motivations and defences operating when KM is being introduced.

 

Longer-term action learning groups are formed at the end of a workshop program, and this activity is captured in an individual’s PKMS, and as appropriate, in the overall organisational KM system. A large number of individuals can pass through the PKMS workshops in a few weeks, meaning that in a few months an organization can develop a very knowledgeable KM implementation community.

 

Future Trends

 

Given the antipathy in so many organizations to acknowledging anything other than surface level affective factors as critical to performance, and in particular to KM which is so dependent on social complexities for its success, practice is not quickly going to inform theory. This is however a very fruitful area for research and promising work continues to appear; for example Byron (2008).

 

Closing Remarks

 

In this paper reasons why non-rational affective factors can critically help or hinder a KM initiative have been discussed. Means for acknowledging, exploring and positively influencing these affective factors have been reviewed. The intention has been to heighten awareness and understanding of these factors, and to emphasise that by addressing them proactively KM initiatives have a much greater chance of living up to their promise.

 

References

 

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Byron, K. (2008). Differential effects of male and female managers' non-verbal emotional skills on employees' ratings. Journal of Managerial Psychology, 23(2), 118–134.

 

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Coakes, E. (2006). Storing and sharing knowledge: supporting the management of knowledge made explicit in transnational organizations. The Learning Organization, 13(6), 579-593.

 

Davenport, T.H., & Prusak, L. (1998). Working Knowledge. Boston, MA: Harvard Business School Press.

 

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Egan, G. (1973). Face to face. Monterey: Brooks/Cole.

 

Egan, G. (2002). The skilled helper. Pacific Grove: Brooks/Cole. 

 

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learning in a digital world. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Karaszewski, R. (2008). The influence of KM on global corporations' competitiveness.  Journal of Knowledge Management, 12( 3), 63–70.

 

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Lucas, L.M. (2005). The impact of trust and reputation on the transfer of best practices. Journal of Knowledge Management, 9(4), 87-101.

 

Mahesh, V. (1993). Thresholds of Motivation. New Delhi: Tata McGraw-Hill.

 

Malhotra, Y. (2004). Why knowledge management systems fail? Enablers and constraints of knowledge management in human enterprises. In M.E.D. Koenig & T.K. Srikantaiah (Eds), Knowledge management lessons learned: what works and what doesn’t (pp. 87-112). Medford, NJ: Information Today.

 

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Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company. New York: Oxford University Press.

 

Nosek, J.T. (2004). Group cognition as a basis for supporting group knowledge creation and sharing. Journal of Knowledge Management, 8(4), 54-64.

 

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Pyöriä, P. (2007). Informal organizational culture: the foundation of knowledge workers' performance. Journal of Knowledge Management, 11(3), 16-30.

 

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Terms and Definitions

 

Affective factors:

 

Individuals sustain consciously, semi-consciously and unconsciously an extensive variety of affective factors that vary widely and dynamically in response to their appreciation of past, present and future contexts. Affective factors are beliefs, attitudes, emotions and instincts, and may include mind-sets, trust, uncertainties, power needs, fears, impulses, anxieties, openness, anger, spirituality, love, and survival etc.

 

Focus, Will and Capability:

 

In the KM performance model described in this paper Focus represents a clear definition and understanding of the KM system proposed; Will represents strength of intent to action the performance defined in Focus; and Capability represents the wherewithal to transform into reality the KM system defined in Focus

 

Personal Knowledge Management System:

 

Each individual has a unique understanding of the Focus, Will and Capability that the organization has articulated for effecting a given KM system and what Focus, Will and Capability they personally possess; either or both of these perceptions are prone to error. The notion of a Personal Knowledge Management System involves an individual exploring any such misconceptions and populating their own knowledge-base with appropriate personally-relevant cognitive, affective and resource related knowledge. This activity helps equip an individual to best contribute to implementing the given KM system, and is best carried out in a social learning process such as action learning, where personal development is integrated with action.

 

Chaos Theory, Strange Attractors, and Fields:

 

Chaos theory involves a fundamental way of seeing the world based on change-related theories dealing with complexity and chaos that have emerged over the last five decades from physics and the study of non-linear systems. According to Chaos theory the world is formed of complex dissipative structures in which disorder can be a source of order, and growth is found in dis-equilibrium.

 

The richness of the diverse elements in a complex system allows the system as a whole to undergo spontaneous self-organization. Even the most chaotic of systems stay always within certain boundaries called “strange attractors” providing order without predictability.

 

Control under these conditions may be created through the use of invisible forces called “fields” that structure behaviour. An organization must develop a visionary core at its “centre” to provide such fields. The organizational meaning articulated becomes a “strange attractor”, and in this way individuals make meaning to produce order from chaos, giving form to work, and structure to what is happening at the level of the individual.