The influence of social capital on strategic choice: An examination of the effects of external and internal network relationships on strategic complexity

In this research we investigated the direct contributions of social capital via network involvement to the strategic complexity of firms. Specifically, we looked at three network types - trade associations, external personal networks, and internal personal networks - to assess their individual and collective effects on strategic complexity. We empirically tested the relationships in the rural telecommunications industry using a mailed survey to this population's CEOs. We obtained 203 responses (30% response rate). Using Poisson regression, we found that all three network types were positively associated with strategic complexity, which was measured as product portfolio breadth. We also discovered that initial conditions affected strategic outcomes, with larger firms and cooperative ownership associated with greater strategic complexity.     

Pricing Internet access in the presence of user loyalty

Socio-economic aspects of future communication networks such as pricing models for network providers, network neutrality, and Quality of Experience (QoE) are becoming more and more important as the convergence of networks is in progress. All the above areas share a common interest: the deeper understanding of user behavior. In this paper, as a first step towards a more realistic user model, we investigate customer loyalty and its impact on the pricing competition of Internet Service Providers (ISPs) who sell Internet access to end-users. The main contribution of this paper is twofold. First, we analyze the impact of user loyalty with game-theoretical means motivated by the Bertrand game. We show how loyalty introduces a new equilibrium in a repeated game setting resulting in the cooperation of ISPs. Furthermore, we investigate the case of a differentiated customer population by introducing dual reservation values, and show how it leads to new, pure strategy Nash equilibria indicating that ISPs should make the most out of their respective loyal user base. Second, we construct two novel models for customer loyalty incorporating two important aspects of the users’ purchasing decisions: price sensitivity and inherent uncertainty. We evaluate the impact of user loyalty through these models by extensive simulations in a number of relevant scenarios. In particular, we show how the higher level of loyalty in the user population leads to larger profits for ISPs. We argue that our findings can motivate network researchers to incorporate a finer-grained user behavior model in their investigations on pricing models of network services and other socio-economic issues.     

Plural form franchise networks: A test of Bradach’s model

This paper focuses on plural form organizations within franchise networks. Plural form can be defined as the simultaneous presence of both franchised and company-owned outlets in the same network. Bradach (1998) developed a model composed of four challenges that a franchisor should meet in order to benefit from plural form organization. The aim of the present article is to test the predictions of the Bradach’s model of plural form networks. A conceptual model regarding the determinants of the proportion of company-owned outlets (PCO) is estimated with data from French franchise networks. We show that the statutory choices are actually driven by the four challenges highlighted by Bradach, namely the challenges of expansion, concept uniformity, local responsiveness, and network-wide adaptation.     

Heterogeneity and the dynamics of technology adoption

We estimate the demand for a videocalling technology in the presence of both network effects and heterogeneity. Using a unique dataset from a large multinational firm, we pose and estimate a fully dynamic model of technology adoption. We propose a novel identification strategy based on post-adoption technology usage to disentangle equilibrium beliefs concerning the evolution of the network from observed and unobserved heterogeneity in technology adoption costs and use benefits. We find that employees have significant heterogeneity in both adoption costs and network benefits, and have preferences for diverse networks. Using our estimates, we evaluate a number of counterfactual adoption policies, and find that a policy of strategically targeting the right subtype for initial adoption can lead to a faster-growing and larger network than a policy of uncoordinated or diffuse adoption.     

The impact of early imprinting on the evolution of new venture networks

Given the argued importance of networks to new ventures, this paper is intended to fill a noted gap in the literature pertaining to the factors that influence the evolution of new ventures' alliance networks. Drawing on the imprinting literature, we propose that one has to look beyond the first partner per se, and instead focus on the extant relationships the initial partner has with other firms. More specifically, we argue and find that the network size and centrality of a new venture's initial alliance partner influence the subsequent size of the new venture's network.     

Align or perish: Social enterprise network orchestration in Sub-Saharan Africa

Previous research has shown that networks are vital for scaling the impact of social enterprises. However, at present, insight into how and why social enterprises successfully orchestrate networks over time as they scale, particularly in the Sub-Saharan African emerging economy context, is scant. Theoretically sensitized by social network theory, our inductive study of six Kenyan social enterprises analyzed their phase-contingent network orchestration. Our findings show how and why entrepreneurial contextual bridging and circumventing social liability are important for initial scaling, whereas aligned capacity building as well as aligning incentives with political actors become necessary to develop and navigate social business ecosystems. In sum, we contribute a deeper understanding of how and why agentic network actions help social entrepreneurs achieve success as they scale in an emerging economy context.     

The MNC as an externally embedded organization: An investigation of embeddedness overlap in local subsidiary networks

MNCs have been conceptualized as differentiated networks that, in turn, are embedded in external networks. Previous research has predominantly focused on the embeddedness of established subsidiaries into their local environment, omitting to shed light on the phenomenon of headquarters linkages to the local context which creates embeddedness overlap. We develop a model of why MNCs develop overlapping linkages to local subsidiary networks even if the subsidiaries have grown out of the initial start-up phase. Using detailed information on 168 European subsidiaries, we find that MNCs build and maintain more overlapping network ties when subsidiaries are high performers, hold important resources, operate in turbulent environments, and are closely connected to multinational actors as opposed to purely domestic firms.     

Regional Trade Agreements and the Pattern of Trade: A Networks Approach

This paper uses a complex network approach for the analysis trade effects from regional trade agreements on world trade flows. We use bilateral trade data to compute the network community structure for every year between 1970 and 2000. We compare this to null community structures that emerge from various models based on regional and geographical classifications, the implementation of RTA's and gravity models of trade. Our results show that RTA formation appears to have a cyclical pattern on the world trade network community structure. We document periods where bilateral trade flows and the structure of the world trade network are consistent with those predicted by formation of RTAs. These cycles occur in 1980–86 and 1990–96. At the same time, we document periods in which the pattern in the world trade network is not explained by RTA formation. Two periods, 1986–90 and 1997–2000, show a pattern of bilateral trade flows that moves away from the prediction that results from assuming RTA formation as the driving force in the determination of the world trade network structure. Factors contributing to the latter parts of the cycle during our sample period include formation of regional trade networks in East Asia that account for a significant portion of world trade but are not formalised by RTAs in force.     

The predictability of carbon futures volatility: New evidence from the spillovers of fossil energy futures returns

In this paper, we find new evidence for the carbon futures volatility prediction by using the spillovers of fossil energy futures returns as a powerful predictor. The in-sample results show that the spillovers have a significantly positive effect on carbon futures volatility. From the out-of-sample analysis with various loss functions, we find that fossil energy return spillovers significantly outperform the benchmark and show better forecasting performance than the competing models using dimension reduction, variable selection, and combination approaches. The predictive ability of the spillovers also holds in long-term forecasting and does not derive from other carbon-related variables. It can bring substantial economic gains in the portfolio exercise within carbon futures. Finally, we provide economic explanations on the predictive ability of the fossil energy return spillover by the channels of the carbon emission uncertainty and the investor sentiment on the warming climate.     

Internationalization of Small Family Firms: The Influence of Family from a Socioemotional Wealth Perspective

We explore the factors influencing the internationalization of small family firms. Based on interviews with six family firms in Singapore, we highlight the importance of (1) family harmony, (2) trust in external relationships, (3) social and business networks, and (4) organizational resources and capabilities in the internationalization process. We show how the socioemotional wealth factors of trust and harmony affect networking and resources, which in turn affect internationalization. We find that initial internationalization through exports is enabled through trust in family networks, but the typical family characteristics of a desire to maintain family harmony and distrust of outsiders have a negative impact on network creation and resource development, which constrains the extent to which the firm internationalizes beyond exporting. In order to move from the first stage (exports/similar markets) to the second stage (joint ventures/different markets) of internationalization, less emphasis on trust and family harmony accompanied by more emphasis on building external networks and resources may be necessary. We propose a new model of internationalization of family firms based on our findings. © 2015 Wiley Periodicals, Inc.     

Determining Factors in Innovation of Small Firm Networks: A case of Cross Industry Groups in Japan

We examine the relationship between network characteristics and innovation under different phases of innovation. Based on micro data of cross industry groups, small firm networks for knowledge sharing and R&D cooperation, we show that close-knit networks, represented as dense communication and a high level of commitment among members, are correlated with initiating joint product development. Furthermore, the results show that establishing contact with external sources of knowledge such as public research institutes is important to achieve technical success in innovation. Lastly, engaging in cooperative activities in sales is correlated with commercial success in innovation.     

Actor legitimation in emerging markets: A network-embedded process

This study examines the legitimation of actors in international networks of emerging markets. Based on a network view of markets and literature on organizational legitimacy, we conceptualize actor legitimation as a process intertwined with the dynamics of international networks. We then draw on analyses of 78 legitimation episodes from interviews with actors involved in peacebuilding in Myanmar/Burma. We contribute to literature by defining the sources and targets of legitimation and by determining the related immediate network dynamics. Moreover, we depict actor legitimation processes regarding their network embeddedness in terms of salience, temporality, and longer term network architecture.     

Supporter networks and network growth: a contingency model of organizational emergence

Despite the belief that networks are essential to entrepreneurial success, very few studies consider the role of networks in the founding of new organizations. In response, we test the direct and interactive effects of the characteristics of nascent entrepreneurs’ supporter networks and network growth on organizational emergence. We find that (1) the governance and content of the supporter network, along with network growth, are important in predicting organizational emergence, and (2) the structure and content of the supporter network may inform the need for network growth. We conclude by discussing the implications of our findings for academics and practitioners.     

Firm networks and firm development: The role of the relational mix

This study examines the role of different networks, called the relational mix, on the development of the entrepreneurial firm. Our regression analysis of survey data from 60 venture capital-financed firms questions the importance of network size on firm development. Rather, our results suggest that different types of networks are more important for firm development. In particular, we found a significant positive relationship for reputational networks and a weak significant negative relationship for cooperative technology networks at founding with time-to-break-even. Social networks at founding have no direct effect on time-to-break-even and a significant negative relationship with sales in the years after foundation. Furthermore, our findings show the important role of marketing information and co-opetition networks (relationships with direct competitors) on firm development in the years after foundation. These results suggest that the relational mix is a more appropriate construct for explaining network development than network size alone.     

Network analyses of brand switching behavior

Networks are extremely important in marketing because so much of marketing is relational, and network methods are important and appropriate tools for studying such structures of interconnections. In this paper, we model data that represent consumer brand switching in the French and British automobile marketplaces. We describe network methods that range from simple to sophisticated. We believe it is novel to consider brand switching patterns as networks, exploring results that arise from network methodologies and philosophies and examining what leverage network methods might have for understanding purchase transition behavior. Our methods include the modeling of multiple networks simultaneously to study such phenomena as dynamic markets and cross-cultural competitive market structure.     

The Evolution and Nature of Young Firm Networks: a longitudinal Perspective

This paper describes the evolution of networks during the first three years after start-up and puts forward explanations of the nature of networks of young firms after three years. We extend current research on networks by explicitly including both temporal change and spatial variation in our analyses of the longitudinal dataset. In this paper we define networks as: the main business relationships with respect to sales, supply, outsourcing and cooperation. The nature of these business relationships is specified by four main characteristics: type, number, source, and location. The longitudinal network analysis is therefore at the micro-level: the individual young firm and the characteristics of its most important business contacts are central. In contrast to the literature our analyses show that sales relationships become increasingly social in source during the first three years after start-up. We also find a persistent geographical concentration strategy in the main business relationships. It seems that extra-regional relationships are losing ground to intra-regional relationships over time: firms are narrowing their spatial scope in their first three years. In addition, we trace important effects of gender, education, innovative firm behaviour, region and sector on the nature of young firm networks three years after start-up.     

Social support abroad: How do self-initiated expatriates gain support through their social networks?

On arrival, expatriates need to establish new social ties in order to succeed in the host country. In this study, we are investigating the social networks of self-initiated expatriates, focusing on the process of how they source social support. Building on information seeking theory, we have created a model connecting specific characteristics of network members (host country knowledge, employment status and host country origin) with the frequency of contact and support they provide. The model was tested through multilevel mediation analysis on 165 expatriates and their 575 network members. We contribute to the existing knowledge on expatriate networks by a theoretically driven categorization of network members and a detailed empirical analysis on the level of a relationship/tie. Our results show that expatriates rely on different network members for different types of support. Practical implications include the use of mentors to facilitate expatriate access to higher status individuals who can offer important support.     

Weaving network theory into effectuation: A multi-level reconceptualization of effectual dynamics

This paper positions effectuation as a network-driving and network dependent phenomenon and suggests that understanding networks and network processes is essential to understanding the dynamics of effectuation. We argue that the implementation of effectuation is influenced by the nodal, relational, and structural characteristics of pre-existing and emerging networks, and by the processes through which these networks come about. We use these arguments to develop a multi-level, multi-theoretical reconceptualization of effectuation that provides for distributed agency and collective cognition of network members. We allow for the simultaneous and interactional use of effectual and causal logics, as well as the co-construction of knowledge, identity, and social capital within and across network levels. Our model also addresses changing uncertainty as opportunities develop, nuances of effectual interactions, and evolving market dynamics. Our propositions and reflections offer directions for further studies at the intersection of network and effectuation research.Executive summaryThere is little doubt that effectuation is reshaping how we think about entrepreneurial cognition and behavior. A core argument is that under conditions of uncertainty, entrepreneurs can co-create opportunities by collaborating with other willful agents. This moves us away from classical views of entrepreneurship and positions effectuation as a network-driving and network-dependent phenomenon. Yet, recent debate highlights that effectuation research has paid insufficient attention to the network of external parties involved. As a result, although the extant model of effectuation recognizes the importance of networks, our understanding of the relationship between effectual logic and entrepreneurial networks is far from complete.Several theoretically important and practically relevant questions arise from this knowledge gap. For example if we think about network development, how are potential stakeholders brought to mind and persuaded to commit if end-points and stakeholder preferences are both unknowable? What are the characteristics (i.e. structure, content and governance) of the networks that emerge through these commitments? Reciprocally, how do the characteristics of the emerging network influence effectual processes and outcomes?In this paper, we begin to address this line of questioning by considering effectuation not only at the level of the individual but also through lenses reflective of the three levels of analysis commonly adopted in network research: i) dyadic relationships, ii) the entrepreneurial network, and iii) the market more generally. While we attend to pre-existing networks (the constitution of which is likely to affect the probability of adopting effectual logic), our focus is on linking the individual and emerging networks across these levels.At the level of the individual, we break from prior effectuation research and ascribe new and influential roles to entrepreneurial ideas and instrumental mindsets in focusing an entrepreneur's attention on particular relationships (i.e. the cognitive activation of a cohesive network involving interested and persuadable individuals). At the level of the dyad, we suggest the very nature of interactions between actors can influence individual choice of logic. We specify that stakeholders will expect signs of process legitimacy (e.g. cognitive flexibility on the part of the entrepreneur) before making effectual commitments. We also move away from assumptions about altruistic behavior to suggest that power and influence will accrue to stakeholders whose resources are at risk and/or perceived by others to resolve uncertainty. At the level of the entrepreneurial network, we link effectuation to a brokerage orientation (tertius iungens) that enhances inclusiveness surrounding means and collective cognition. Moreover, we move beyond the narrow view of facilitating and constraining factors portrayed in the effectuation literature to argue that (e.g.) i) with respect to network content, resource specificity will shape possible futures; ii) with respect to governance, trust, supported by social mechanisms will predominate; and, iii) with respect to structure, specific network characteristics will be more supportive of certain aspects of effectuation than others (e.g. cohesive networks are more supportive of collaboration, but may limit the flexibility needed to embrace contingencies). At the market level, we posit that on the one hand, institutions will shape effectual processes. On the other hand, effectual processes are more likely than causal processes to create new institutions and/or supplant existing institutions.Overall, our study contributes to the understanding of both effectuation and networks by offering a multi-level, multi-theoretical re-conceptualization of the dynamics of effectuation. Our arguments should spur research in at least three interdependent areas: i) uncertainty and individual cognition; ii) network processes surrounding interactions and commitments; and iii) the contingent effects of network characteristics on effectuation. For practitioners, our insights should help shape thoughts about i) who to interact with in the face of uncertainty; ii) what stories to tell and how to deal with image management; iii) what to expect during negotiations; iv) how to broker relationships to enhance the ‘co’ in ‘co-creation’; and moreover, v) what network characteristics might facilitate or constrain their efforts.     

Enrolling in global networks and contingencies for China's solar PV industry

This study tests the contention in the Asian business systems literature that interacting with global managers and increasing experience via international education are ways by which Asian firms enroll in global networks, thus potentially leading to changes in their broader network contingencies. Chinese solar PV firms are examined given the competitiveness of Chinese products in the global marketplace and the importance being placed on solar energy domestically as China confronts increasing pressure to protect its environment and control pollution while meeting mounting energy needs. Results indicate an emphasis on extra-firm institutional network relationships both within and outside of China for all firms, characteristic of a bourgeoning energy sector. A unique result is that buyer–supplier networks are spatially influenced by extra-local managerial education. Enrolling in wider networks also matters as firms with internationally educated managers have more non-mainland Chinese managers, which mitigates traditional management practices at home.     

Network structure analysis of the Brazilian interbank market

In this paper, we provide a detailed analysis of the roles financial institutions play within the Brazilian interbank market using a network-based approach. We present a novel methodology to assess how compliant networks are to being perfect core-periphery structures. The approach is flexible, allowing for the identification of multiple cores in networks. We verify that the interbank network presents a high disassortative mixing pattern, suggesting preferential attachment of highly connected financial institutions to others with few connections. We use the clustering coefficient to assess the substitutability of financial institutions. We find that large banking institutions are counterparties that are easily substitutable in normal times. We uncover that the rich-club effect is strongly present in the community comprising the large banking institutions, as they normally form near-clique structures. Since they play the role of liquidity providers in the interbank market, this interconnectedness effectively endows the network with robustness, as participants that are with liquidity issues can easily substitute counterparties that are liquidity suppliers. This substitutability will likely vanish during periods of stress, increasing systemic risk and the likelihood of cascade failures.