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We build on dynamic capability (DC) theory and apply inductive case study research to shed light on how new venture manufacturing firms develop and nurture supply chain (SC) capabilities. Our findings discern SC capabilities related to dimensions of DCs (sense, integrate, develop, reconfigure) and show how these SC capabilities evolve throughout new venture life cycle stages. We find that SC capabilities steadily substitute improvisation and imitation. Our study also reveals that SC capabilities serve as dual-purpose capabilities with an operational as well as a dynamic role. On the one hand, they are needed to operate the supply chain and enable the development and reconfiguration of the internal resource base. On the other hand, they allow for the sensing and integration of external resources and create new or update and modify existing SC capabilities. New venture firms can benefit from our study by mimicking the development of the different SC capabilities. [ABSTRACT FROM AUTHOR]

Firms benefit from being reliable and trustworthy towards their customers. In many countries, however, corruption spills over to supply chain relationship practices and weakens a firm's credibility towards its customers (CTC). In this study, we investigate the influence of corruption on the relationship between CTC and firm performance. Empirical analyses of manufacturing firms in multiple countries demonstrate that corruption diminishes the effect of CTC on firms' operational performance. Moreover, a country's information and communication technology (ICT) readiness can counteract the negative impact of corruption. Our study adds to the literature on supply chain relationship management by considering the influence of two institutional contingencies (i.e. corruption and ICT readiness) on the effectiveness of CTC as an important mechanism of supply chain governance. Our study complements the literature on transaction cost economics and urges managers to consider the two characteristics of their firms' institutional environments when managing relationships in their supply chains. [ABSTRACT FROM AUTHOR]

The financial implications of the worldwide COVID-19 pandemic and the effective mitigation of the negative effects are the subject of an ongoing debate.Weaim to empirically substantiate this debate. Based on a sample of 4,032 publicly traded U.S. and Chinese firms, we conduct an event study and find that the COVID-19 pandemic is associated with a substantial decrease in shareholder value, significantly varying between U.S. and Chinese firms and across industries.Wefurther identify structureand supply chain-related firm factors that mitigate the negative impact. Specifically, we find that smaller firms experience a less negative impact on shareholder value, challenging established findings. Our results also suggest that a lower dependence on physical assets, a shorter trade cycle, and a higher degree of vertical integration attenuate the negative impact on shareholder value. Our findings provide important insights for managers and policymakers.Werecommend managers to reduce the dependency on business models that strongly rely on physical assets, to streamline trade cycles, and to reduce supply chain complexity. From a policy perspective, we emphasise the importance of more industry-specific granularity of public support measures. [ABSTRACT FROM AUTHOR]

Blockchain applications have the potential to greatly improve operational efficiency and effectiveness along the supply chain. Although we know what the barriers to the adoption of blockchain are, we know little about how firms overcome these barriers to reap the benefits of the technology. A particular challenge in adopting blockchain applications is the need to build and implement them among a network of users, requiring firms to collaborate. To manage and advance such collaborative efforts, blockchain projects install a centralised leadership. There is thus a tension between the need for centralised leadership and decentralised control to justify the use of blockchain technology. In this study, we investigate how blockchain projects navigate this tension. We employ a multiple case study methodology to compare five collaborative blockchain applications that are live today. Our findings indicate that the case applications all combine centralised management with decentralised oversight in a similar manner. We argue that this combination of centralised and decentralised control is a great benefit for the successful development and implementation of blockchain applications. The results underline that to benefit from blockchain technology in supply chain applications, an important collaborative organisational effort is necessary. [ABSTRACT FROM AUTHOR]

Customer pressure has been widely discussed as the primary driver of green supply chain management (GSCM) practices. However, relatively little is known about supplier capabilities as a key mediator for GSCM practice adoption. Drawing from the resource dependence theory (RDT), we investigate how the interplay between customer pressure and supplier capabilities affects GSCM practice adoption along multi-tier supply chains. We test our hypotheses using multiple regression analysis based on a sample of 284 manufacturing firms operating at different tiers of a supply chain. Our results indicate that the supplier capabilities mediate the direct effect of customer pressure on the adoption of GSCM practices for focal firms. Specifically, we find a full mediation effect of supplier capabilities for higher-tier (i.e. OEM and system supplier) firms and a partial mediation effect for lower-tier (i.e. component and raw material) firms. Our findings provide support for the RDT perspective regarding GSCM. The focal firm's adoption of GSCM practices as a response to customer pressure is dependent on the level of green resources and capabilities available from their suppliers. The level of such resource dependence varies between focal firms at higher- and lower-tier positions in a multi-tier supply chain. [ABSTRACT FROM AUTHOR]

Successful inter-organisational new product development (NPD) is a key source of competitive advantage, yet many NPD projects are still failing. To generate new insights on the phenomenon, we examine the performance implications of knowledge inputs among collaborating organisations, both in terms of external input ratio and input concentration. We test a set of hypotheses using multi-industry primary and secondary data on 210 inter-organisational NPD projects. Results support our hypotheses about the negative effect of input concentration on design quality, which in turn is positively associated with product market performance. Although we surprisingly find a negative linear effect of external input ratio on design quality, our post-hoc analysis confirms the relationship to be an inverse U-shaped relationship. We also find support for the roles of technology interdependence in moderating the performance implications of external input ratio and input concentration. By clarifying how knowledge inputs affect project outcomes under different levels of technology interdependence, the study provides managerial implications regarding how to select innovation partners in order to create a knowledge portfolio that best improves NPD project performance. [ABSTRACT FROM AUTHOR]

The global pandemic COVID-19 has disrupted supply chains in many industries all over the world. If not well contained and managed at an early stage, such unprecedented disruptions may lead to even more serious consequences in the era of supply chain reglobalization. The attendant challenge for research and practice is on how to readily measure and quantify the disruption risk. To address the plethora of concerns, this article presents a recovery time equivalent (RTE) disruption risk measurement model using Value at Risk (VaR). We consider a disruption recovery model comprising abrupt, normal, fast, and slow modes. To demonstrate the practical relevance of our study, we establish a case study with a multinational corporation from the IT sector. Decision makers and supply chain managers can use the model to conduct 'what-if' analyses on their supply chain vulnerabilities and risks for a more proactive business continuity planning and contingency management. [ABSTRACT FROM AUTHOR]