The influence of supply network structure on firm innovation

In this study, we examine the structural characteristics of supply networks and investigate the relationship between a firm's supply network accessibility and interconnectedness and its innovation output. We also examine potential moderating effects of absorptive capacity and supply network partner innovativeness on innovation output. We hypothesize that firms will experience greater innovation output from (1) higher levels of supply network accessibility and supply network interconnectedness, (2) the interaction between the levels of these two structural characteristics, (3) the moderating role of absorptive capacity on supply network accessibility and the moderating role of supply network partner innovativeness on supply network interconnectedness. Supply network partner relationships are drawn in the context of the electronics industry using data from multiple sources. We use social network analysis to create measures for each supply network structural characteristic. Using regression techniques to test the relationship between these structural characteristics and firm innovation for a sample of 390 firms, our findings suggest that supply network accessibility has a significant association with a firm's innovation output. The results also indicate that interconnected supply networks strengthen the association between supply network accessibility and innovation output. Moreover, the influence of the two structural characteristics on innovation output can be enhanced by a firm's absorptive capacity and level of supply network partner innovativeness. By addressing the need for deeper structural analysis, this study contributes to supply chain research by accounting for the embedded nature of ties in supply networks, and showing how these structural characteristics influence the knowledge and information flows residing within a firm's supply network.     

On boundary spanners and interfirm embeddedness: The role of guanxi institution in China

Based on social embeddedness theory and institutional theory, we construct a research model that depicts how boundary spanners’ personal relationships affect dyadic embeddedness at the organizational level, under the varying influence of guanxi institution across different regions in China. We empirically test our model by analyzing data collected from 225 retail gas stations within the distribution network of a major Chinese petroleum company. Our analysis shows that boundary spanners need to first establish relational ties, which, in turn, influence interfirm dyadic embeddedness. Additionally, the results indicate that the informal institutions, such as guanxi in China, exert an indirect effect on personal trust through personal closeness. The informal institutions also moderate the effects of personal level trust on organizational level trust, which is a key linkage between personal relationship and interfirm embeddedness.     

An examination of strategic supply management benefits and performance implications

There has been a growing body of literature documenting the impact of strategic supply management on firm performance. Yet, despite of its importance, there has been little research on how this impact is achieved from a social network perspective and on the link between strategic supply management and customer responsiveness. This study develops and empirically tests a conceptual model employing two increasingly important constructs that reflect intermediate benefits of having a strategic supply management function: relational embeddedness and network scanning. We then explore the relationships between those intermediate benefits and customer responsiveness using structural equation modeling from a sample of 204 US manufacturing firms. The research findings indicate that organizations engaging in strategic supply management are able to directly achieve greater levels of customer responsiveness by scanning their supply base network, and indirectly by having socially embedded relationship ties with those suppliers.     

Supplier–supplier relationships in buyer–supplier–supplier triads: Implications for supplier performance

A growing number of studies and evidence from industries suggest that, besides managing the relationship with its suppliers, a buyer needs to proactively manage the relationships between those suppliers. In a buyer–supplier–supplier relationship triad, the buyer, as the contracting entity, influences the suppliers’ behaviors and the relationship between them. By considering the relationships in such a triad, we are able to gain a richer and more realistic perspective of buyer–supplier relationships. In this study, our goal is to examine supplier–supplier relationships in buyer–supplier–supplier triads, focusing on how such relationships impact the supplier performance. We frame the supplier–supplier relationship as co-opetition—one in which competing suppliers work together to meet the buyer's requirements. We investigate the role of the buyer on such relationships, and how the buyer and co-opetitive supplier–supplier relationships affect supplier performance. We find mixed empirical support for our hypotheses. However, we are able to demonstrate the dynamics of supplier–supplier co-opetition in the buyer–supplier–supplier triad. We point out the need for further studies in this area.     

Supplier–supplier relationships in the buyer–supplier triad: Building theories from eight case studies

Many researchers have studied how the buying company manages its relationship with suppliers (i.e. buyer–supplier relationship). Extending this genre of study, researchers have recently shown interest in investigating how the buying company manages relationships between the suppliers (i.e. supplier–supplier relationship). In other words, just as the relationship with the suppliers does, the relationships between suppliers have strategic implications for the buyer. We present in this study eight cases that describe supplier–supplier relationship dynamics. Using theory building through case studies, we identify five archetypes of supplier–supplier relationships. Each type of relationship is a unique configuration of the relational characteristics. We also present working propositions that associate the antecedent conditions that lead to these archetypes and eventual performance implications.     

Market novelty, competence-seeking and innovation networking

Studies of innovation networking have frequently been concerned with the occurrence of dyadic relationships and with their apparent impact on simple measures of firm-level innovation outputs. This paper takes a more detailed look by analyzing the connection between different types of innovation and forms of networking. Based on the market novelty of innovation outcomes and the extent to which innovation activities require new competences, four types of innovation are identified. It is proposed that these types correlate with various innovation network dimensions, including the volume of networks, the strength and content of ties, and the specificity of ties. Drawing on survey data of 594 innovations realized by Dutch small firms, it is observed that the requirement to access new competences for innovation correlates positively with the number of network partners involved. We also note more subtle connections between types of innovation and networking, including that novel innovation outputs correlate with using network partners as a source of inspiration, whilst new competences associate with networking for knowledge capital. In the latter case, these activities also draw on new and intended ties relatively often, i.e. network partners which are actively sought out for the specific contributions they may make to the innovation process. Finally, innovation which is simultaneously new-to-the market and requires new competences uses strong ties relatively often. Implications for innovation policy and practice are discussed.     

A relational view of climate adaptation in the private sector: How do value chain interactions shape business perceptions of climate risk and adaptive behaviours?

Studies exploring climate change adaptation in the private sector have seldom investigated the effect of business network interactions on climate vulnerability and adaptation outcomes. This paper proposes a novel theoretical framework to explore how business–network dynamics affect risk perceptions and adaptive behaviours in business firms. The framework is empirically grounded in a comparative analysis of business–network dynamics from three agricultural value chains in Jamaica that are vulnerable to climate change impacts. The results illustrate how the exposure, sensitivity, and adaptive capacity of value chain actors are influenced by business interdependencies and interfirm relationships. We find that the level of formality of business exchanges (contractual or noncontractual), the level of resource interdependency, and the ability to diversify access channels to critical resources can influence the propagation of climate‐related risks and influence actors' exposure and sensitivity to those risks. The study also offers evidence of the role played by bonding and bridging relational ties on adaptive capacity. The framework and findings provide a foundation for a new research agenda exploring a relational view of firm adaptation strategy in response to climate risks.     

How supply chain architecture and product architecture impact firm performance: An empirical examination

In order to enhance performance, manufacturing firms are building various capabilities and utilizing supply chain networks that are geographically dispersed around the globe. This study examines how decisions related to supply chain architecture and product architecture influence organizational competitiveness. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. While, product modularity constitutes a product configuration related to sourcing and assembling of products, supply chain agility is a supply chain configuration related to velocity (sensing, comprehending, and responding) and visibility (supplier network, internal operations, and external environment). Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. We empirically test the hypothesized relationships using data collected from 103 manufacturing firms. Results show that supply chain agility and product modularity directly enhance responsiveness and enable organizations to reduce cost. Furthermore, supply chain agility partially mediates the relationship between product modularity and both responsiveness and cost reduction. We elaborate on the key contributions of this study for both research and practice, discuss limitations, and also offer various avenues for further research.     

Taking the leap from dyads to triads: Buyer–supplier relationships in supply networks

A network is made up of nodes and links. The smallest unit that consists of both these network elements is a dyad made up of two nodes (a buyer and a supplier) and the link that connects them (a buyer–supplier relationship).Naturally, the focus of the supply chain management literature has been on this dyad. For instance, a buyer affects a supplier through its supplier evaluation and certificate programs, as well as long-term agreement practices. The relationship between a buyer and its supplier has been characterized as cooperative or adversarial. We have learned a great deal about supply chains through such studies in dyadic context.However, we submit that in a network, a dyad is not the smallest unit of a network. In fact, the smallest unit is a triad, made up of three nodes and the links that connect them. If so, how would this recognition guide us as we move forward to investigate supply chains as a network? What would be its implications to the genre of the literature on buyer–supplier relationships?     

Re-visiting collaborative behavior in supply networks – structural embeddedness and the influence of contextual changes and sanctions

This study considers decision making beyond a dyadic buyer-supplier context to the network context. Decisions made by firms are shaped by behavioral norms within the supply network as perceived by the decision makers. Firms can perceive themselves to be part of a collaborative regime or one in which the potential for non-cooperation is high. Further, the ability to put sanctions on non-cooperating firms could shape the overall behavioral patterns in the network. To gain further insights into these aspects and their interactive effects on firm behavior, our study investigates decision-making in supply network by means of behavioral experiments. By organizing practicing managers in a supply network, the study investigates the role of structural embeddedness, incentive structure, and sanctioning mechanisms on the level of collaboration. The results of this study confirm that while sanctions are detrimental for collaborative behavior in a supply network, they play an important role when the underlying norms of governance of such a network are perturbed. The results show that structural embeddedness provides a context that aids adaptive collaborative behavior by firms that are part of the supply network. Once the incentive structure is altered such that there is a higher payoff from defection, the adaptive collaborative behavior is replaced by a behavior in which firms try to maximize their returns and forego collaborative decision-making behavior.     

Demand- and Supply-Side Agglomerations: Distinguishing between Fundamentally Different Manifestations of Geographic Concentration

Agglomeration research investigates the benefits that firms receive from locating in close geographic proximity. Despite a substantial surge in interest in this topic over the past 20 years, a lack of distinction among unique manifestations of spatial concentrations of similar firms threatens continuing progress in this stream of research. We argue that agglomerations of related firms that draw benefits from the supply-related externalities of increased access to specialized labour, specialized inputs, and knowledge spillovers are fundamentally different from those that draw benefits from heightened demand realized through reduction in consumer search costs. Extending agglomeration theory, we explicate the differences between these distinct phenomena, discuss how the nature of key theoretical relationships varies across these agglomeration types, and demonstrate significant implications for research. We discuss how the differences affect a host of theoretical relationships and empirical research decisions.     

The institutional embeddedness of local inter-firm networks: a leverage for business creation

There is an increasing concern for the notion of ‘embeddedness’ of economic activity; yet the conceptualization of the concept and its operationalization remain underdeveloped. First, embeddedness may concern, on the one hand, the structure of relations that tie economic actors together (structural embeddedness) and, on the other hand, the social strands supplementing economic strands in each relation (substantive embeddedness). In this paper, a network framework is outlined which proposes several layers or ‘orders’ of embeddedness. Focusing on small firms, the point of departure is individual exchange relationships as personal ties combining economic and social concerns. First-order embeddedness concerns the localized business networks created by combining these dyadic relations. Second-order embeddedness is achieved when considering also the memberships of business persons in economic and social local institutions while third-order embeddedness concerns the special cases where these institutions bridge gaps between firms. The network model is operationalized and applied to a small Swedish industrial (furniture) community, its firms and economic/social institutions. The findings generally support the applicability of the model and demonstrate the supplementarity of different layers/orders of embeddedness. Further research challenges are deduced and implications for practitioners are provided.     

An institutional perspective of public policy and network effects in the renewable energy industry: enablers or disablers of entrepreneurial behaviour and innovation?

This study extends theory on the effects of public policies stimulating technology demand and of industry network ties on firm-level entrepreneurial behaviour. We take an institutional perspective to develop a theoretical model examining the mechanisms through which public policies, regulatory uncertainty, and industry network ties affect firm-level entrepreneurial decision-making processes and the ability to introduce highly innovative products and to sustain superior performance. We focus on firm-level effects, which enables the study of the tension between institutional pressures of homogeneity and competitive pressures of heterogeneity for entrepreneurial decision-making processes in environments characterized by policy-induced market demands. To test our hypotheses, we draw on data from a large-scale survey among German renewable energy firms. Our results show that public policies can constrain firm innovativeness and risk-taking behaviour because they steer firms towards a more conservative attitude and discourage the pursuit of high-risk innovation projects. However, firms can counteract these influences and enhance their innovativeness by maintaining close network ties with research associations as we find that innovativeness and a highly innovative product portfolio are key success factors. In summary, these findings provide important implications for the study of public policy effects, industry network ties and entrepreneurial behaviour.     

The underlying potential of supply management in value creation

This study discusses the value-creation potential of supply management in firms, highlighting the significance of buyer–supplier collaboration, as well as resources and capabilities in the process. It is a conceptual study that builds on the theoretical basis of the resource-based view and the value net approach. Given the critical role of supply management in generating value the strategic emphasis in future should be on triple value creation. It is concluded that this cannot be achieved by focusing only on dyadic relationships or relationships in chains, and that supply relations should be viewed in a wider network context.     

The effects of tariff increases on supply base complexity: A conceptual framework

Recent protectionist trends around the world have raised interest in newly enforced or increased tariffs and their effects on global supply chains. For firms sourcing globally, tariff introductions or increases significantly affect importing costs, which ultimately affect product costs. Such tariff changes may incentivize firms to adjust their supply base to mitigate these cost increases, thus altering the structure and complexity of firms' supply bases. In this paper, we first characterize the U.S. tariff landscape from 1997 to 2017. We then develop a conceptual model to explain how the severity and timing uncertainty of expected tariff increases influence a firm's speed of adapting to the changing tariff environment. Specifically, we explore firms' propensity to form or delete ties to suppliers, which influences supply base complexity. Moreover, we consider factors that moderate the relationship between severity, timing uncertainty, and supply base complexity, including a tariff's geographical scope, a firm's relative purchase spend, and supply risk. Our conceptual model offers both research and managerial implications.     

Following in Partners’ Footsteps: An Uncertainty‐Reduction Perspective on Firms’ Choice of New Markets

In this paper, we develop a new perspective on what determines firms’ choice of new markets for entry. First, drawing on the open‐system theoretical tradition and literature on inter‐organizational networks, we advance and empirically test the proposition that firms tend to enter new markets to which they are connected by partnership ties. We then show that this network influence is filtered through the structure of firms’ network connections to new markets and firms’ experience. Specifically, we find that multiplicity of connections to new markets, as well as the extensiveness of firms’ experience and its relevance to new markets weaken the effect of network ties on firms’ choice of new markets. The results of this study indicate that firms’ choice of new markets for entry is a nuanced process that is affected by the interplay of firms’ collaborative ties, the structure of their network, and firms’ internal capabilities. We test our hypotheses in the empirical context of the U.S. venture capital (VC) industry using panel data over a 23‐year period and find broad support for them.     

Populist Syndrome and Nonmarket Strategy

Although recognized as a defining feature of the current political era, populism and its implications for non-market strategy remain undertheorized. We offer a framework that (a) conceptualizes populism and its progression over time; (b) outlines the risks populism generates for firms; and (c) theorizes effective nonmarket strategies under populism. Our framework anchors the political risk profile of populism in three interdependent elements: anti-establishment ideology, de-institutionalization, and short-term policy bias. These elements jointly shape the policymaking dynamics and institutional risks for firms under populism. Our analysis shows how firms can calibrate two nonmarket strategies – political ties and corporate social responsibility – to mitigate populism-related risks. We specify how particular configurations of political ties and CSR activities, aimed at the populist leadership, bureaucrats, political opposition, and societal stakeholders, minimize risk under populism. Further, we theorize how the effectiveness of specific attributes of political ties and CSR – namely their relative covertness (more vs. less concealed) and their relative focus (narrowly vs. widely targeted) – varies as a function of firm type (insiders vs. outsiders) and the probability of populist regime collapse. Finally, we address how motivated reasoning may bias firms' assessments of regime fragility and resulting strategy choices.     

Knowledge Networks and Careers: Academic Scientists in Industry–University Links*

abstract Careers are central to our understanding of the knowledge creation dynamics of network organizations. Based on the example of R&D project collaboration between firms and universities, this paper examines the emerging forms of career models that support knowledge flows between organizations. It explores how some large firms in the high‐technology sectors have sought to break away from the limitations of internal R&D and firm‐based careers for scientists by engaging in external collaborative projects to gain access to the open knowledge networks of university researchers. It examines how the firms seek to forge close institutional ties with their university partners and develop network career structures in order to engage academic scientists in joint knowledge production. It argues that firms have sought to extend their human resource and knowledge boundaries into the established internal labour markets of the universities with which they collaborate, leading to the formation of a pool of joint human resources with work experiences and career patterns straddling the two sectors. The paper develops the concept of an ‘overlapping internal labour market’ to provide a conceptual bridge between internal labour markets and network organizations.     

Ready for another leap? Making a case for tetrads

Tetrads are more conducive to studying the dynamic nature of supply networks compared to triads. For instance, the balance theory assumes there is equilibrium in the triadic structure when, in fact, relationships are constantly in flux in networks. Tetrads help us examine how a network is embedded in a larger network, how factions or subgroups operate in networks, and how strong and weak ties play out in a network.