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Knowledge is critical for employee and firm success. We show that being perceived as prototypical organizational members is a source of prominence in knowledge exchange that operates beyond preexisting communication or affective relationships. Self-categorization processes produce – through depersonalization – a positive attitude among the members which represents an autonomous mechanism of social attraction for knowledge exchange, while social network mechanisms are triggered by interpersonal attraction. Our findings also suggest that including perceived members’ prototypicality can avoid a potentially spurious relationship in assessing the role played by social identity and categorization theory in explaining attitude and behaviors.

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.

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.

A long tradition in social science research emphasizes the potential for knowledge to flow among firms colocated in dense areas. Scholars have suggested numerous modes for these flows, including the voluntary transfer of private knowledge from one firm to another. Why would the holder of valuable private knowledge willingly transfer it to a potential and closely proximate competitor? In this paper, we argue that geographic concentration has an effect on the expected compliance with norms governing the use of transferred knowledge. The increased expected compliance favors trust and initiates a process of reciprocal exchange. To test our theory, we use a scenario-based field experiment in gourmet cuisine, an industry in which property rights do not effectively protect knowledge and geographic concentration is common. Our results confirm our conjecture by showing that the expectation that a potential colocated firm will abide by norms mediates the relationship between geographic concentration and the willingness to transfer private knowledge.

The purpose of this research is to reveal the specific features of the behaviour of market players in the collaboration of universities and business structures in the context of the digital economy's development. The traditional processes of collaboration of science and business are compared to the partnership under the conditions of open science.

This research is based on the totality of concepts and theories, founded on the theory of non-linearity of innovations, which allows defining them as a bilateral process that is open to other players. The list of market players, which participate in the process of collaboration, and the character of their interaction are considered from the position of the triple innovation spiral. The specifics of the collaboration of scientific and business structures are considered from the position of knowledge exchange, and the means of their organisation – from the position of the theory of university-industry collaboration. This methodology allows determining the key aspects of collaboration as a process of knowledge exchange and systematising the range of tools and channels of innovation transfer. The evolutionary game theory is used for the empirical evaluation of the specifics of the market players' behaviour in the process of collaboration. The context of the support of the digital economy is considered within the concepts of open innovations, organisation of scientific digital networks and Open Science. The methods used allow for the systemic reflection of the processes related to the behaviour of market players in the collaboration of universities and business structures and the determination of the key advantages that are achieved by them for the support of the digital economy.

It is determined that the digital economy is a result of innovative development and its trigger at the same time. Based on this, the behaviour of market players uses digital potential, on the one hand, and creates conditions for its support, on the other hand. Collaboration is one of the formal tools of the transfer of innovations, which partially covers the interaction with such tools and channels as intellectual property, academic spin-offs, research mobility and labour mobility. Based on the theory of the triple spiral of innovative development, it is stated that business structures and universities are the key elements of innovations. Their interaction is increased by the influence of the government policy and allows creating effective forms of collaboration, which facilitate the knowledge exchange within the system. At this, the business performs the functions of investing and provision of collaboration, universities implement the key processes connected to fundamental research, and government expands the innovative capabilities, stimulating the growth of competitiveness and resolution of social problems. The important problems of the market players' behaviour in the process of scientific and research collaboration are the organisation of the process of knowledge exchange, which is related to intellectual rights, and the difference between the goals of market players at the initial stages of cooperation. Resolution of the above problems allows raising the level of mutual trust and facilitates the processes of knowledge exchange.

We systematise the tools and channels of collaboration of universities and business structures, substantiate the principles and terms of the market players' behaviour in the process of knowledge exchange, and determine the role of each player. In the context of modern tendencies of the digital economy's development, we determine the specifics of the market players' behaviour in the context of using digital technologies and providing a high level of openness of the scientific and production partnership.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

The platform economy reflects the business model of some of the largest and fastest-growing firms in the economy. Platform business models emerge and thrive because of the potential profit in taking advantage of transactions cost reductions to connect people for mutual benefit, and this value creation is best understood by thinking about the epistemology of decentralized market processes. Three essential aspects of knowledge are relevant to platform business models: (1) knowledge can be private and diffuse; (2) knowledge can be contextual; and (3) knowledge may not exist outside of the economic process. After defining and analyzing the technology, economic, and institutional aspects of platforms the author defines and applies market epistemology to explore how platforms harness technological and organizational features to create value-enhancing market platforms by exploiting the epistemic benefits of technology-enabled decentralized market processes. The author concludes by using this epistemic framework to propose an electricity distribution platform business model – the retail electricity industry is undergoing a process of technological dynamism, and as a regulated infrastructure industry, evolving into a decentralized market industry is presenting challenges to which this epistemic framework can bring increased understanding.