Strategic orientation represents an important antecedent condition for new product development (NPD) performance, which can help firms create competitive advantage and promote sustainable growth. This study aims to explore the role of strategic orientation (i.e., technology orientation, customer orientation) in promoting firms’ digital capabilities and NPD performance in the context of digital transformation. Using a resource-based view and its extended dynamic capabilities as a theoretical foundation, we provide a comprehensive framework by developing a set of hypotheses. In addition, we examine the moderating effect of corporate social responsibility (CSR) on the relationship between strategic orientation and NPD performance. Using data from a sample of 174 Chinese manufacturing firms, we perform structural equation modelling to empirically test our arguments. Our findings show that technology orientation and customer orientation play a critical role in driving firms’ digital capabilities. Moreover, we find that the two dimensions of strategic orientation tend to exert different effects on NPD performance, with technology orientation playing a more significant role than customer orientation in contributing to NPD performance. Finally, our findings strongly suggest that a firm’s CSR engagement moderates the relationship between its customer orientation and NPD performance, such that the higher the firm’s engagement in CSR, the greater the contribution of customer orientation to the firm’s NPD performance. Our findings provide new insights into non-market mechanisms such as CSR through which firms can compensate for their strategically oriented practices in the NPD process.

During the COVID-19 pandemic, digital technology has been used in all aspects of the agricultural field. How to seize the opportunity to achieve the production-marketing connection is increasingly becoming a top concern for green agri-food enterprises. Based on the theory of a task–technology fit, this study analyzes the fitness between livestreaming e-commerce and green agri-food. More specifically, the task characteristics cover the seasonality, locality, and eco-friendliness of green agri-food, and the technology characteristics cover the responsiveness, interactivity, and entertainment of livestreaming e-commerce. Using data of a sample of 574 green agri-food entrepreneurial firms collected through a web-based questionnaire, we preform structural equation modeling (SEM) analysis and find that the locality and eco-friendliness of green agri-food, the responsiveness, interactivity, and entertainment of livestreaming e-commerce have a positive effect on the fit of green agri-food livestreaming e-commerce. Moreover, the fit of green agri-food livestreaming has a positive effect on firm performance and the intention to adopt livestreaming e-commerce. This study also demonstrates that perceived corporate social responsibility has a moderating effect on the relationship between the fit of livestreaming of green agri-food and the intention to adopt livestreaming e-commerce. This study extends prior research on the task–technology fit into livestreaming e-commerce companies and provides insights into our understanding of successful adoption of livestreaming e-commerce.

The sudden outbreak and long-term trend of COVID-19 have brought huge attacks and uncertainty to the global economy, forcing countries to introduce various policies frequently to stimulate economic recovery. To realize sustainable development, firms established an environment-friendly economic development model by building a circular supply chain and implementing a green innovation strategy, which is expected to save resources and protect the environment by recycling resources. Based on this background, this study aims to determine the relationship between the uncertainty of economic policy, green innovation strategy, and circular supply chain performance. It divides green innovation strategies into green product innovation, green process innovation, green service innovation, and green logistics innovation to explore their different impacts on the performance of the circular supply chain. Simultaneously, the moderating effect of uncertainty of economic policy between green innovation and the performance of the circular supply chain is explored. Using survey data collected from 308 manufacturing firms in China, we empirically test the theoretical model and proposed hypotheses through the structural equation modeling approach. Our findings demonstrate that green product innovation, green process innovation, green logistics innovation, and green service innovation have a positive impact on the performance of the circular supply chain. Moreover, we also find that, contrary to our expectations, economic policy uncertainty plays a positive role in moderating the relationship between green innovation and circular supply chain performance. We believe that this paper has a clear contribution to the research on green innovation and circular supply chain management. This study provides a new perspective for the research on the integration of green innovation and circular supply chain, deepens firms’ understanding of green innovation strategy and circular supply chain, and provides important implications and guidance for manufacturing firms to better manage green innovation and circular supply chain practice as well as the risk of economic policy uncertainty.

Supply chain management capability has become increasingly important in highly dynamic and uncertain situations, such as the COVID-19 pandemic. However, our systematic literature review indicates that little is known about how different types of ties influence the intention of firms to adopt B2B platforms and improve international performance. This study aims to explore the important role of political and business ties in the development of supply chain management capability by arguing that political and business ties are positively related to the development of supply chain management capability, which is proposed to shape the intention of firms to adopt B2B platforms and their international performance. Furthermore, we also attempt to develop a framework between potential strategic needs for a firm’s supply chain capability development and different ties. Using survey data collected from a sample of 369 firms in China, we test these proposed arguments empirically through structural equation modeling (SEM) analysis. Results demonstrate that political and business ties contribute positively to developing a firm’s supply chain capability, positively related to the firm’s intention to adopt B2B platforms and international performance. In addition, our study also reveals that supply chain risk significantly modifies the relationships between political or business ties and supply chain capability development. This study provides important contributions to the literature by extending prior research on supply chain management and offers important insights into our understanding of the successful development of supply chain management capability, intention to adopt B2B platforms, and international performance improvement. We believe our findings can help inform how firms can develop supply chain management capability by utilizing different ties.

The global supply chain has suffered an unprecedented impact Affected by multiple factors such as anti-globalization, rising trade protectionism and the COVID-19 pandemic. Based on the technology-organization-environment framework and resource-based theory, this study attempts to explore and analyze what drives a firm’s willingness to adopt artificial intelligence technology and how such willingess to adopt artificial intelligence technology may contribute to supply chain resilience and supply chain performance. Using survey data collected from 318 firms in China, we empirically test our arguments and hypotheses through the structural equation modeling approach. The results suggest that the relative advantages of enterprise artificial intelligence technology, supply chain collaboration, and environmental uncertainty are the three major factors affecting the adoption of artificial intelligence technology, which subsequently provide a positive impact on supply chain resilience and supply chain performance. This study expands the application field and scope of artificial intelligence technology, fills the relatively large gap in the research on the behavior of enterprise users adopting artificial intelligence technology in the supply chain field. This provides a useful reference for enterprises to adopt artificial intelligence technology.