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Introduction: The current study examines the relationship of reciprocity and the knowledge sharing behavior (KSB) with the mediating role of organizational commitment.

Aim: The purpose of this chapter is to examine linkages between reciprocity and KSB in Pakistani Pharmaceutical industry basing on social exchange theory (SET) (Blau, 1964). Employees’ affective and normative organizational commitments were proposed as mediator to explain these relationships.

Method: Data were collected using Survey Questionnaires from a sample of 287 managers and staff of sales department of different pharmaceutical firms in Rawalpindi and Islamabad, Pakistan. This is an explanatory study with a quantitative approach. KSB model was developed and tested using a two-stage analysis. Initially, path analysis using AMOS was carried out followed by mediation through process analysis.

Findings: Affective and normative commitment was found to be mediating between reciprocity and KSB using SET.

Originality of the Study: Few empirical studies have analyzed the effects of reciprocity on KSB, especially in context of pharmaceutical industry. Mediation of employee’s commitment could provide new insights to management practitioners in fostering KSB.

Implications: The finding will allow organizations in general and pharmaceutical firms in particular, to focus more on commitment toward their employee as a reciprocal benefit for improving knowledge sharing culture in their organizations.

This empirical study explores knowledge outflows from MNE subsidiaries and its impact on subsidiary performance. We develop hypotheses derived from literature on MNE knowledge flows integrated with an organizational economics perspective on knowledge-creating MNE subsidiaries. The hypotheses are tested using a simultaneous equation model applied to a unique data set encompassing a German MNE, HeidelbergCement. Enablers and impediments of knowledge outflows are assessed to explain why subsidiary managers share their knowledge with other MNE units. Our findings suggest that knowledge outflows increase a subsidiary's performance only up to a certain point and that too much knowledge sharing is detrimental to the contributing subsidiary's performance.

The purpose of this chapter is to investigate how big data influences the diffusion of knowledge in firms and how it influences the firms’ innovation process. The chapter identifies gaps that exist in the current literature on the topic. This study is conducted by using a qualitative methodology. PRISMA methodology is used to carry out a systematic literature review. The results shown in this study indicate the positive influence that technology has on knowledge sharing and innovation and on the other hand how good management of knowledge can benefit small and medium enterprises (SMEs). The limitation of this study is related to the methodology, whereas it is considered that a quantitative methodology can be incorporated into the other research resources. The chapter’s aim is to fill a gap in the current literature and to be a new starting point for scholars and managers. Through this work, managers can better understand how to improve the innovation process through knowledge sharing in their organizations. The originality of the present study represents a first step in understanding the mechanisms of knowledge sharing within firms, how it supports the innovation process, and what role big data plays in this context.

Important demographic changes are causing organizations and teams to become increasingly age-diverse. Because knowledge sharing is critical to organizations’ long-term sustainability and success, both researchers and practitioners face a strategic dilemma: namely, finding ways to cultivate greater knowledge sharing among different age cohorts.

In this chapter, we claim that age diversity adds relevant opportunities and distinct challenges. On one hand, it increases demands for effective knowledge sharing: Employees of different ages are likely to hold diverse knowledge and capabilities that may be lost and/or poorly exploited if they are not effectively shared. On the other hand, age differences can activate age-related stereotypes and foster the formation of age subgroups, which can hamper social integration, communication, and ultimately, knowledge sharing.

Building on these insights, this chapter looks at the role of the human resource management (HRM) system as a key facilitator of effective knowledge sharing in age-diverse organizations. To this end, the chapter focuses on HR planning, training and development, performance appraisal, and reward systems, each of which can be used to develop the motivations, norms, and accountability structures that encourage employees of different ages to bridge their differences and integrate their unique perspectives and knowledge. This chapter suggests ways of tailoring HRM practices to unlock the benefits of age diversity, which may help organizations exploit and capitalize on the knowledge-based resources held by their younger and older employees.

In this chapter, we empirically investigate an important question of “how does knowledge sharing and knowledge leakage impact the alliance performance in dyadic coopetitive alliance settings that involve small- and medium-sized enterprises (SMEs).” Taking the perspective of the focal SME to address this question, we posit that while knowledge sharing positively associates with alliance performance, inadvertent knowledge leakage is negatively related to performance. We further postulate that under the conditions of high knowledge leakage, the positive impacts of knowledge sharing on performance would be reduced. Our structural model results based on a survey of 186 SMEs in the high-tech and knowledge-intensive industries in Sweden show support for two of the hypothesized relationships. More specifically, the results show that knowledge sharing has a positive effect on alliance performance but knowledge leakage has an insignificant direct effect on performance. However, knowledge leakage plays a negative moderating role on the relationship between knowledge sharing and performance. We contribute by demonstrating the effects of knowledge sharing and leakage in under-researched but important dyadic one-to-one coopetitive alliances involving SMEs.

The question of how work motivation affects team members' tacit and explicit knowledge sharing has long puzzled organizational scholars. In this chapter, the quality of team–member exchange (TMX) is presented as one potential mechanism.

Key variables in the model are intrinsic and extrinsic work motivation, interactional and distributive organizational justice, tacit and explicit knowledge sharing, relationship-oriented and task-oriented TMX, organizational rules, organizational climate for trust. Separate models are developed for intrinsic versus tacit knowledge sharing.

While explicit knowledge sharing depends upon extrinsic factors such as extrinsic work motivation, task oriented TMX, distributive justice perceptions, and organizational rules, tacit knowledge sharing is dependent upon intrinsic factors such as intrinsic work motivation, relationship-oriented TMX, interactive justice perceptions, and perceptions of an organizational climate for trust.

This is the first model to provide a useful framework that should enable scholars to research the factors underlying the relationships between individual employee motivation and both explicit and tacit organizational knowledge sharing.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

Due to geographic dispersion and reliance on technology-mediated communication, developing collaborative capital can be a challenge in a virtual team. Knowledge sharing is one form of collaborative capital that has been identified as critical to virtual team success. This chapter develops a theoretical model that proposes that shared leadership in virtual teams is positively related to knowledge sharing between team members, and that this relationship will be partially mediated by trust. The model also shows that a team's degree of reliance on technology-mediated communication will moderate the relationships in the model.

This study aims to explore information related to higher education strategies and policies to support knowledge sharing activities. This study involved 21 informants from several private universities in Java. The results showed that the strategies and policies of knowledge sharing are related to funding support for conducting research, attending seminars or workshops, forming scientific discussion forums that facilitate knowledge sharing activities. Publication of books, journals, or other academic products such as modules, patents, and publication of articles in journals or magazines are the most important knowledge sharing activities and the support of the internet, e-mail, and mobile phone technology plays an important role in knowledge sharing activities. Helping one another, learning from each other, and sharing new information with each other are the main motivations for encouraging knowledge sharing activities, while time constraints are a major obstacle in sharing knowledge among others.

This chapter offers insights on how knowledge management (KM) tools and initiatives contribute to successful internal branding. Knowledge management has gained considerable recognition from both business practitioners and academics. However, understanding and implementation of KM practices in relation to internal branding is still a largely unexplored field. The authors, thus, present several models of knowledge sharing and outline their applicability to the field of internal branding. Through a case study of a Finnish multinational company Teleste, this chapter shows the applicability of the presented theories for brand knowledge sharing. The practical case looks at how knowledge sharing helped Teleste in the process of rebranding, particularly when promoting its new brand image within the organization.