Organizational and knowledge management related antecedents of knowledge use: the moderating effect of ambiguity tolerance

To leverage their knowledge resources, many organizations deploy knowledge management systems (KMS), which contain at their core a knowledge repository. Successful use of the knowledge/repository depends largely on knowledge workers who must contribute to the knowledge base as well as use those knowledge objects. We develop and validate an empirical model that explains mechanisms required to reduce knowledge gaps in a firm or business unit, through knowledge contribution and use or reuse. Using the theory of planned behavior and its derivative the technology acceptance model, we find that a feature rich user friendly KMS combined with extrinsic rewards (or incentives) and knowledge self-efficacy are critical to KM success. Tolerance of ambiguity (a personal trait) is a key influence in the causal relationship between incentives and knowledge gaps as well as knowledge self-efficacy and knowledge gaps. The main findings of this study are (1) for ambiguity intolerant individuals, incentives and self-efficacy are as important as the KMS as motivators for knowledge sharing and use, (2) for this group, it is necessary to stress the importance of KM as a means of social persuasion in building knowledge self-efficacy, (3) for the ambiguity tolerant, incentives are not required, and self efficacy is self-determined i.e., KM champions are not required to highlight the importance of KM; in fact the technology (KMS) is all important, a finding that negates conventional wisdom that technology is merely an enabler. In summary, a one-size fits all mindset is not effective, a firm must carefully consider the ambiguity tolerance levels of employees before forging ahead with KM efforts. This becomes all the more important to practitioners because of the recently highlighted differences in ambiguity tolerance between “Millennials” and” Generation Xers”. In addition to theory testing in KM, this research also informs KM practice.     

What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs

Knowledge management (KM) research has yielded extensive explanations regarding the individual's motivation to share knowledge, each with different sets of factors. Yet the study of continued knowledge sharing is rare. There has been little research investigating this issue from contributing and seeking perspectives—the two distinct, but closely interrelated, facets of continued knowledge sharing. We propose that knowledge management system (KMS) users' beliefs are contextually differentiated, and thus a distinction between knowledge-contribution and knowledge-seeking behaviors and an adequate emphasis on their variance in terms of user belief is needed. By incorporating the knowledge-contribution and knowledge-seeking perspectives in a single study, we model and examine the differences among driving factors in two behavioral contexts, provide the conceptual comparisons and preliminary discussions, and thus advance our understanding of continued knowledge sharing via the KMS.     

Mapping knowledge sharing traits to business strategy in knowledge based organisation

Globalization has resulted in increasing use of knowledge as competitive weapon in many organizations nowadays. In this context, an increasing number of organizations are focusing on communities of practice (CoPs) orientated knowledge management (KM) studies and the links between KM and organizational business strategy. This link is an important determinant of organizational performance. While KM business strategy (linked to organization business strategy) is important, knowledge sharing behavior of knowledge workers is a critical enabler of effective knowledge management and organizational performance. That is, organizations invest resources in creating CoPs for competitive advantage and lack of suitable candidates will result in loss of momentum and less knowledge sharing in CoPs and there by underutilizing the resources. The aim of this research is to identify the personality traits to portrait the features of knowledge workers suitable for CoPs oriented KM and business strategy. Four KM business strategies have been established in this paper in light of organization performance orientation and KM implementation mode and traits of knowledge workers are mapped to different business strategies. The most significant personality traits of knowledge sharing behavior have been analyzed to determine the suitable traits for different type business strategies. Thus contributions of this paper include (a) defining a model which links four business strategies with CoPs orientated KM model and knowledge sharing behavior model (based on revised Five Factor Model); (b) mapping of personality traits of knowledge workers with four business strategies; (c) providing a guideline to knowledge based organizations for seamless integration of business strategy with CoPs oriented KM and compatible knowledge workers and d) more effective utilization of organizational resources to facilitate improvement in organizational performance.     

Knowledge management systems and organizational knowledge processing challenges: A field experiment

This paper investigates the appropriateness of knowledge management system (KMS) designs for different organizational knowledge processing challenges. Building on the theory of task-technology fit (TTF), we argue that different KMS designs are more effective for different knowledge tasks. An exploratory field experiment was conducted in the context of Internet-based knowledge sharing services to provide empirical support for our hypotheses. The results of our experiment show that a KMS designed to support the goal GENERATE is more appropriate for divergent type knowledge problems because of its affordances for iterative brainstorming processes. Conversely, for convergent type knowledge processing challenges, a KMS with the goal CHOOSE that supports the ability to clarify and to analyze is more effective.     

Effect of knowledge sharing visibility on incentive-based relationship in Electronic Knowledge Management Systems: An empirical investigation

Previous studies have confirmed the knowledge sharing visibility (KSV) may ensure the incentive-sharing relationship within traditional organizations. However, considering high loafing tendency in IT-based and distributed environments, this effect should be re-examined. This study examines how KSV impacts on incentive-based relationship in IT-based knowledge management systems. The data were collected from real KM systems in an innovative service company. The results show that, in distributed environment, KSV was still a critical moderators in the prediction of employee’s knowledge sharing behaviors. In the electronic KMS environment, the positive relationship between incentive and KS is stronger when employees’ perceived KSV is higher. This research contributes theoretically to KS literature in examing the KSV as the three-way moderators on incentive-based relationship in IT-based environment, from real organizational samples.     

Can technology build organizational social capital? The case of a global IT consulting firm

Knowledge management (KM) and knowledge management systems (KMS) have been positioned as strategies and tools that enable organizations to create and transfer knowledge in order to sustain competitive advantage. While KM as a strategy gained legitimacy, KMS have struggled to show a causal relationship to knowledge creation and knowledge transfer. KMS contribution to the economic performance of organizations has been harder to prove, mainly because of a lack of collection of data and thus analysis of knowledge metrics. This has lead to an unjustifiable move to underplay the role of technology in creating and transferring knowledge. We strived to revive interest in KMS by exploring their ability to accumulate social capital and showing its effect on the creation and transfer of knowledge. We posited that social capital was the mediating factor between KMS and knowledge creation and transfer and hypothesized that: (1) KMS will positively affect an organization's ability to build social capital, and that (2) social capital will enhance a firm's ability to create and transfer knowledge. Qualitative data collected from a multinational IT consulting firm was used to validate the framework.     

Assessing the impact of knowledge management strategies announcements on the market value of firms

Although there is much literature on the relationship between KM strategies and organizational performance, the benefit of KM strategies is not well understood. We addressed this issue by exploring how KM strategies influence a firm's market value using event study methodology. We evaluated the cumulative abnormal returns for KM strategies announced by U. S. firms from 1998 to 2003. Our findings supported the hypothesis that firms’ announcements about their KM strategies provoked positive reactions in the market. More specifically, strategies that focus on either (i) knowledge reusability through IT or (ii) knowledge sharing through informal discussions among employees contributed to higher performance than strategies that emphasized both. This outcome empirically supported our argument that the emphasis on either tacit or explicit knowledge results in a better market value of the firm. Furthermore, the market's reaction to the announcement is dependent on the firm's industry classification. The findings of this study offer insights that may help managers maximize the market impact of their KM strategies.     

How do knowledge management resources and capabilities pay off in short term and long term?

How sustainable are the financial payoffs obtained from knowledge management (KM) resources and capabilities? To illuminate this issue, we use multiyear, firm-level survey data, as basis in examining the extent to which KM resources and capabilities influence a firm’s financial performance over time. The findings suggest that the impact of KM capability on firm performance is more pronounced in the long term than in the short term. By contrast, knowledge management systems (KMS) is associated only with immediate, short-term financial benefits with such gains prone to instability in the long term. Interestingly, knowledge stock (KS) in and of itself exerts neither short-term nor long-term impacts on a firm’s performance. However, both KMS and KS indirectly affect a firm’s long-term performance by virtue of KM capability.     

Recommender systems for personal knowledge management in collaborative environments

Personal knowledge management (PKM) is different from the traditional centralized knowledge management (KM) modes. The PKM is suitable for distributed collaborative KM environments. This paper makes an explorative study on the PKM, and analyzes various forms of personal knowledge resources in the product development process. Then a model of recommender systems for PKM is proposed for knowledge sharing among members in the collaborative environment. The key function of the PKM recommender systems is to supply potentially useful personal knowledge resources from the sites where these knowledge resources are created to the sites where the members may need the knowledge. The PKM is in a mode of distributed control rather than a mode of centralized control, which is widely used by traditional KM methods and tools. This study paves a way for developing an advanced mode of KM platforms for PKM sharing in collaborative environments.     

Dimensionality of Social Capital and Organizational Citizenship Behavior in Information Systems Project Teams

Knowledge sharing and organizational citizenship behavior (OCB) among project team members are crucial for project success due to the particularities of information systems (IS) projects. Bonding social capital is known to increase knowledge sharing and collaboration. However, the influence of bridging social capital on knowledge sharing is unclear. The interplay between bridging and bonding social capital is especially interesting in a collectivistic society such as South Korea where in-group ties are particularly strong. In this study, we examine the effect of the sub-dimensions of the above constructs (i.e., bonding, bridging, OCB) on knowledge sharing. The results suggest that bonding and citizenry behavior improves knowledge sharing. Bridging improves knowledge sharing by increasing organizational citizenry behavior. Unexpectedly, the effect of citizenship behavior on knowledge sharing differs from the effect of its sub-dimensions. Only helping others is positively related to knowledge sharing. Similarly, the sub-dimensions of bridging and bonding influence knowledge sharing and citizenship behavior differently than the first-order constructs. For example, shared team mental model positively affects OCB, but has no direct influence on knowledge sharing. Conversely, shared vision is the only sub-dimension of bridging that positively affects OCB. Thus, the results suggest that project managers should facilitate shared project vision and team mental model to encourage team members’ citizenship behavior and control the potential adverse influence of bridging social capital.     

Effects of information technologies,department characteristics and individual roles on improving knowledge sharing visibility: a qualitative case study

Knowledge sharing visibility (KSV) is a critical environmental factor which can reduce social loafing in knowledge sharing (KS). This is especially true in ICT-based KS in learning organisations. As such, it is imperative that we better understand how to design technology enabled knowledge management systems (KMS) to support high KSV. This article examines the impact of knowledge management technology functions (e.g. tracking, knowledge storing) on KSV through qualitative analysis of 16 semi-structured interviews with participants in a Chinese company. Impact and implications of use for their existing KMS are examined. This article also examined the effects of department characteristics (i.e. group size and task characteristics) and individual roles (i.e. employee positions) on the IT–KSV relationship. Results encourage applied statistical, tracking, knowledge distribution and knowledge storing functions for monitoring explicit KS, and suggest integration of visualised knowledge maps with communication tools (e.g. Instant Messenger (IM)) to support visibility for implicit KS. Findings also suggest that KM technologies are more salient on improving KSV in large department with routine tasks, and that low-level employees may have more positive attitude on accepting communication tools on sharing knowledge. Extension to use of Web 2.0 technologies (e.g. weblogs) in KMS is also explored.     

Effective Knowledge Management Systems for a Clinical Nursing Setting

Given the critical role of nurses as knowledge workers in a hospital environment, this study investigates the knowledge management processes and organizational enablers associated with effective knowledge management systems (KMS) for a clinical nursing setting. The interview and survey findings shed light on how to effectively design and deploy a clinical KMS in a hospital nursing environment.     

Knowledge management for occupational safety,health, and ergonomics

The critical challenge for occupational safety, health, and ergonomics (OSHE) in contemporary industry is management of the existing individual (personal) knowledge, structural knowledge (i.e., knowledge codified into manuals, reports, databases, and data warehouses), and organizational knowledge (activity of learning within the organization) in the vast domain of practical applications. Therefore, the principles and tools of knowledge management (KM) should be used to facilitate the management of OSHE. The authors discuss the requirements for effective knowledge management, review the existing models of KM and their structures, and introduce a model for KM in OSHE. The proposed model of KM for OSHE is based on a strategy that establishes knowledge as the central resource to achieve the goals of OSHE management. The model includes the systems of organizational knowledge, organizational learning (knowledge creation, distribution, elaboration, and consolidation), development of knowledge workers, KM processes (review, conceptualization, reflection, and acting), and relevant information‐technologies. © 2006 Wiley Periodicals, Inc. Hum Factors Man 16: 309–319, 2006.     

Communities of practice model driven knowledge management in multinational knowledge based enterprises

Existing research in intelligent manufacturing literature has highlighted the need for linking organizational culture, business strategy with Knowledge Management (KM) as well as measuring the performance of knowledge management systems for best practice. Communities of Practice (CoPs) are accepted as best practice and distinct from organizational structures while implementing KM. Besides, employing CoPs as an approach for linking business strategies with KM design, CoPs can be the prevailing way for group learning and innovation building within firms. As firms grow in size, scope, and complexity, CoPs members who regularly engage in sharing and learning based on common interests, could improve organizational performance. The purpose of this work is to design a CoPs model for KM which addresses issues related to organization culture, business strategy and performance measurement reported in earlier publications in intelligent manufacturing. A CoPs evaluation hierarchy for KM is developed. It includes four dimensions and sixteen criteria for studying and evaluating organizational culture and business strategy. Fuzzy Multi-Criteria Decision Making (MCDM) approach has been employed to quantitatively analyze various criteria priorities and business strategy preferences of CoPs. In order to validate the CoPs model, a case study has been undertaken in two multinational knowledge based organizations and the results are compared to differentiate strategic preferences. The contributions of this paper include: a) Definition of a CoPs model based on sixteen criteria which helps to understand an organization’s KM culture or CoPs; b) Employing these criteria to link an organization‘s KM culture with four business strategies; c) Develop a quantitative method for measuring KM performance in the context of four business strategies, and d) Validating the CoPs model through its application in two multinationals in Taiwan and Japan. The CoPs model thus can be used by organizations to understand their KM culture, allocate resources towards the chosen business strategy and measure KM performance in the context of the chosen business strategy.     

To share or not to share: a critical research perspective on knowledge management systems

This paper looks at Knowledge Management Systems (KMS) from the perspective of critical research. Using the concepts of ‘gaze’ and ‘face’, we examine the development and use of a web-based KMS in Taiwan. The findings indicate that, although a web-based KMS was developed to enable knowledge sharing, the capabilities for surveillance inherent in the KMS severely limited sharing. This study raises broader questions about the relationship between cultural values and the production of knowledge in KMS.     

Organizational knowledge transfer through creation, mobilization and diffusion: a case analysis of InTouch within Schlumberger

Abstract.  There is a paucity of theory for the effective management of knowledge transfer within large organizations. Practitioners continue to rely upon 'experimental' approaches to address the problem. This research attempts to reduce the gap between theory and application, thereby improving conceptual clarity for the transfer of knowledge. The paper, through an in-depth case analysis conducted within Schlumberger, studies the adoption of an intranet-based knowledge management (KM) system (called InTouch ) to support, strategically align and transfer knowledge resources. The investigation was undertaken through the adoption of a robust empirically based qualitative research methodology incorporating the role of technology as an enabler of KM application. Consequently, the study addressed the important question of translating theoretical benefits of KM into practical reality. The research formulates a set of theoretical propositions that are seen as key to the development of an effective knowledge-based infrastructure. The findings identify 30 generic attributes that are essential to the creation, mobilization and diffusion of organizational knowledge. The research makes a significant contribution to identifying a theoretical and empirically based agenda for successful intranet-based KM, which will be of benefit to both the academic and practitioner communities. The paper also highlights and proposes important areas for further research.     

Investigating Knowledge Management practices in software development organisations – An Australian experience

This study, using both quantitative and qualitative methods, investigates current practice of Knowledge Management (KM) in Software Engineering (SE) processes in two Australian companies on the basis that they both claimed to apply KM practices in their software development work. It also describes the KM activities and KM process used in SE practice, and examines the enablers of KM process for SE in terms of leadership, technology, culture, process and measurement.One of the main findings showed that software developers believe in the usefulness of knowledge sharing; however, their ability to utilise some of the KM systems was limited. The most commonly used systems included personal networks, informal networks, groupware and third-party knowledge. There is a need to formalise knowledge sharing of practices, while also supporting informal and ad-hoc knowledge sharing. While KM was considered to be important, the tools, techniques and methodologies currently employed for software development were inadequate to address effective management of knowledge in these organisations. In both organisations, a uniform model of the KM process did not exist. Among the four KM enablers, leadership was considered to be the most significant as top-down KM strategies were seemingly being pursued by management. Technology was also considered to be an obvious mechanism for KM, despite some of their current KM systems either being unsuitable or inaccessible. In addition, the crucial role that personal networks played in accessing tacit and implicit knowledge was seen as a key reason to foster a culture that encourages participants to share their knowledge with others.     

Managing knowledge sharing: Emergent and engineering approaches

We wished to determine how the process of knowledge sharing could be managed, seeing that it is a knowledge management dilemma. If knowledge sharing is crucial to an organization’s interests, but is inherently emergent in nature, how can the organization still manage the process? In order to answer this question, a distinction was made between two approaches towards managing knowledge sharing: an emergent approach, focusing on the social dynamics between organizational members and the nature of their daily tasks, and an engineering approach, focusing on management interventions to facilitate knowledge transfer. While the first is central to today’s thinking about knowledge, we used a field study in six organizations to show that both approaches have value in explaining knowledge sharing. Instruments that are part of the engineering approach create conditions for variables in the emergent approach, which in turn also exert a direct influence on knowledge sharing.     

Knowledge seekers’ and contributors’ reactions to recommendation mechanisms in knowledge management systems

We examined the behavior of knowledge seekers and contributors to an internal Knowledge Management System (KMS) in a multinational organization. The system has two selection mechanisms, based on semantic algorithms and user ratings. The first utilizes an algorithm to ‘measure’ the quality of knowledge contributions and ranks them accordingly, while the second averages the ratings that knowledge items receive from KMS users. Building on appraisal theory, we found that knowledge seekers and contributors reacted differently to the two mechanisms. The rating-based rankings positively influenced knowledge seekers’ tendency to access, comment on, and spread the knowledge shared in the KMS, while the algorithm-based ranking positively influenced knowledge contributors’ to continue sharing knowledge via the system. Moreover, shorter (or longer) time delay between the time that the knowledge was shared and the time when knowledge contributors received their first comments seemed to positively (or negatively) influence the contributors’ tendency to continue sharing knowledge via the KMS. Our study adds to the existing KMS literature by investigating knowledge seekers’ and contributors’ reactions to the two different knowledge recommendation mechanisms, and recommends that managers understand the importance of implementing algorithm-based rankings in their KMS as well as the simpler and more commonly adopted rating-based ranking.