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The chapter presents a theoretical framework that deals with the basic question of how networks and industries coevolve. We draw upon the structural and relational perspectives of networks to theorize about changes occurring in interfirm networks over time and the coevolutionary linkage of these changes to the industry life cycle. We further extend the widely accepted industry life cycle model by claiming that industry-specific evolutionary patterns impact the structure of the network’s relations, which in turn lead to diversification in the sources of innovation and to variation in the patterns of industrial evolution.

Purpose – The purpose of this chapter is to develop a more fine-grained model of the relationship between multinational corporation (MNC) external embeddedness and subsidiary contribution to firm-level competitive advantage.

Methodology/approach – We briefly review previous international management literature and show that the conception of MNC embeddedness in external networks is often simplistic. We develop the concept of the HQ–subsidiary dyad being externally embedded and derive propositions on how this more holistic concept of MNC embeddedness influences subsidiary contribution.

Findings – We argue that subsidiary contribution depends not only on the relational embeddedness dimension of the subsidiary but that there is a complex interplay between several embeddedness dimensions on multiple levels. We suggest that the much emphasized effect of subsidiary relational embeddedness might be contingent on the HQ's own relationships, and the structure of the overall network. We also develop propositions which show that subsidiary relational embeddedness mediates the relationship between overall network structure and subsidiary contribution.

Research limitations – For the sake of theoretical stringency, we keep other influencing factors such as MNC strategy and specific subsidiary mandates as constant.

Originality/value of the chapter – Subsidiaries are an important source of firm-level competitive advantage. Subsidiary resources have also been shown to develop to a large extent in relationships with external actors. Despite this importance, we argue that our understanding of how the MNC is embedded in external networks and how this in turn influences subsidiary contribution is limited. This chapter attempts to make a first step into filling this gap.

This chapter examines the factors that may influence the total value created in a joint venture (JV) and also the relative value appropriated by each partner in the venture. We look at the effects of both partners’ embeddedness in prior networks of relationships and the asymmetry of business relatedness of two partners with the JV on these two important outcomes. Results of an event study of stock market reaction to JV announcements by the largest U.S. firms during 1987–1996 suggest that both network embeddedness of partners and the asymmetry of business relatedness of two firms with the JV affect the total value creation of all partners but not the relative value appropriation between the partners.

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.

Advanced information technologies, and particularly big data, provide new affordances to facilitate inter-organizational collaboration. Rich flows of real-time data provide transparency across organizational boundaries and enable greater automation of inter-organizational routines. Taking stock of the literature and building on observations from the research in an industrial setting, the authors introduce the concept of technological embeddedness as an important characteristic of inter-organizational relationships, denoting the degree of monitoring, control, and optimization of intra- and inter-organizational tasks accomplished through technology at the interface of the inter-organizational relationship. The authors theorize how increasing technological embeddedness created by big data technologies affects the development of inter-organizational trust, mutual adaptation, and temporal structuring of collaboration. The propositions elaborate how greater technological embeddedness enables collaboration, and warn about the potential limiting effects of technological embeddedness on the development of interpersonal trust, strategic learning, and long-term orientation.

Today’s MNCs need to adopt smart ways of organizing to tap into the potential of their complex internal and external relationships. This requires MNCs to identify the relevant relationships and to develop appropriate relational skills and capabilities. Hence this chapter addresses two key questions: what kind of relational structures and qualities are conducive to value creation, and how can MNCs best develop and utilize their complex relationships?

The chapter reviews the main developments in the area of MNC organizing to date. Subsequently three examples of novel on-going research into MNC relationships are presented. Finally avenues for future research and links to related areas in international business research are discussed.

The relational perspective on the MNC is well-established. Past research, however, has mostly taken the view of the headquarters-subsidiary dyad without fully conceptualizing the multiplicity of relationships and interdependencies of individuals, groups, and units in the MNC. This chapter uncovers the relational skills required to improve MNC value creation abilities by influencing and leveraging connections among disparate units and individuals to tap their expertise and creative potential. This includes insights into abilities for managing and balancing multiple networks, abilities for mobilizing relevant network actors when driving bottom-up processes, and abilities for facilitating connections and collaboration among different actors.

This chapter advances the understanding and practice of multinational organizing. It presents novel ways to systematically address the complexities and interdependencies of relational effects on the ability of MNCs to create value.

Dyadic multi-dimensionality informs the variation that exists within and between network ties and suggests that ties are not all the same and not all equally strategic. This chapter presents a model of dyadic evolution grounded in dyadic multi-dimensionality and framed within actor-level, dyadic-level, endogenous, and exogenous contexts. These contexts generate both strategic catalysts that motivate network action and bounded agency that may constrain such network action. Assuming the need to navigate within bounded agency, the model highlights three strategic processes that demonstrate how dyadic multi-dimensionality underlies the evolution of strategic network ties.

We discuss the ‘gloomy’ side of firms’ embeddedness in networks of inter-firm partnerships. We propose a nested understanding of the effects of three levels of overembeddedness – environmental, inter-organizational and dyadic overembeddedness – on subsequent inter-firm partnership formation and argue for a joint examination of these three levels and their interactions over time. As a whole, increases in firms’ embeddedness will generate decreasing returns to the firms involved, prompting (i) the search for and attachment to novel partners and (ii) the dissolution of extant partnerships. On the flipside, overembeddedness thus sparks network evolution – by cueing firms to look beyond their embedded partnerships.

This paper explores the origin of entrepreneurial orientations (EO) from an organizational embeddedness perspective. It examines the impacts of firms’ network embeddedness such as structural, positional and relational on three dimensions of EO, namely, risk-taking, proactiveness and innovativeness. After a brief review of the EO construct and social network theory, we derive a set of testable propositions that relate embeddedness properties such as centrality, structural holes, direct/indirect ties, and network density, to the magnitude of three key EO dimensions. We argue that each dimension may vary independently with each other and has its own formation mechanism, which entails rich implications for entrepreneurial network research.

Rational choice theory has numerous implications for the analysis of organizational governance structures. This chapter reviews some of these applications. The main emphasis is on relational contracting. It will be argued that repeated games theory, that is, a variant of rational choice that deals with rational agents who repeatedly interact, can explain the outcomes of relational contracting. There is some controversy about the merits of rational choice explanations. Can they deal with inefficient structures and their (alleged) stability, with path dependence and mimetic processes? Many of these issues have been addressed by new sociological institutionalists. It is argued that rational choice analysis is in fact consistent with many of these observations. There is, in other words, some convergence between rational choice and institutionalist approaches.