This study evaluates the antecedents and consequences of supply chain risk management capabilities. Informed by the information processing theory, we conceptualize supply chain disruption orientation as an organic control and supply chain visibility as a mechanistic control. Both control mechanisms build the information processing capacities, which need to fit with the information processing requirements imposed by disruption impact during the adverse supply chain disruptions in the wake of the Coronavirus Covid-19 pandemic. When the fit is realized, supply chain risk management capabilities will be improved. This study also examines the role of supply chain risk management capabilities in bolstering supply chain resilience to the catastrophic occurrence. Our findings indicate the fit between information processing capacities and requirements enhances supply chain risk management capabilities, which, in turn, result in enhanced supply chain resilience.

Purpose: This study aims to examine the impact of the supplier's coercive and cognitive pressures on a manufacturer's green purchasing decision-making process and the resultant implications in terms of operational and environmental performances.Design/methodology/approach: Path analysis is performed to test the hypothesized linkages.Findings: This study finds that the supplier's coercive pressure, environmental focus and socio-cultural responsibility will lead a firm to more successful implementations of green purchasing, which, in turn, results in improved operational and environmental performances. The study findings reveal that the commercial values of green purchasing in addition to social and political obligations will promote the adoption of green purchasing in supply chain management practice.Originality/value: This study helps business managers understand the impacts of the supplier's coercive and cognitive pressures on green purchasing and the manufacturer's resultant performances. In particular, coercive pressure is operationalized by the supplier's coercive pressure and environmental regulatory pressure, while cognitive pressure is reflected in the supplier's environmental focus and socio-cultural responsibility. This study contributes to the extant theories and enriches the literature on green purchasing.

Innovation is critical for organizations seeking to build and maintain a sustainable advantage in the competitive market. This study aims to construct a moderated mediation model to examine the effects of incremental and radical innovations on competitive advantage, which considers the mediating role of innovation speed and the moderating role of a supportive culture. Data from 201 Chinese firms were collected through questionnaires and the research hypotheses were tested using multiple regression analysis and bootstrapping techniques. The empirical results show that incremental and radical innovations have a significant positive effect on competitive advantage. Radical innovation has a greater impact on competitive advantage compared to incremental innovation. Innovation speed mediates the relationship between incremental and radical innovations and competitive advantage. Supportive culture positively moderates the relationship between incremental and radical innovations and innovation speed. Moreover, supportive culture positively moderates the conditional indirect effect of incremental and radical innovation on competitive advantage through innovation speed. Theoretical and practical implications are further discussed.

Despite numerous studies on understanding effectiveness of technology commercialization, only limited attention is given to the complex relationship inter and inner its conditions, which formed from the policy system between different levels of government networks and the unbalanced regional technology resources in China. Using data from spin-off enterprises, this paper develops an integrated configuration framework for and provide an empirical test of five predictors, namely policy supply, policy coordination, technology source, firm strength, and R&D investment, which capture three contextual features of institutional, organizational, and technological complexity within Chinese technology commercialization context. Confirmatory factor analysis (CFA) and Fuzzy-set qualitative comparative analysis (fs/QCA) of data identified three distinct effective TC paths: The first, dominator, pertained to the effective regional policy supply and powerful enterprise strength, even if the regional technology source is deficient. The second, devotee, characterized by effective policy coordination, intensive R&D investment, and abundant technology source or powerful enterprise. The last, investor, featured by poor policy coordination and poor regional technical resources, while favorable regional policy supply and R&D investment.

Ecosystem theory provides a new perspective for studying the development of the architecture engineering and construction (AEC) industry in the age of information and communication technology (ICT). As an extremely ICT innovation, building information modelling (BIM) not only brings technical benefits to the AEC industry, but changes the innovation paradigm of the AEC industry towards an innovation ecosystem, which improve productivity and sustainability throughout the project life cycle. This article contributes to innovation ecosystem theory by exploring the structure of the BIM ecosystem and deriving its cultivation path. Then, as the leading city in China for developing BIM technologies, Shanghai was selected as the case study to elaborate on the cultivation path of the BIM ecosystem. The results indicate that three layers identified in the structure contribute to the understanding of the boundaries, units, and analytical focus of the BIM ecosystem, with the BIM platform being the core layer. This topology structure, with the BIM platform as the hub, promotes interdependency and symbiosis among participants in the cultivation of the BIM ecosystem, supporting the birth, expansion, maturity, re-innovation (or extinction), and sustainable development of the BIM ecosystem. This research complements and extends literature on the BIM ecosystem, and provides implications as to the construction, cultivation, and sustainability of BIM ecosystems for emerging economy firms.

Purpose: This study investigates the possible curvilinear relationship between operational interdependency and supply chain performance as well as the contingency effect of supply chain disruptions, in terms of disruption orientation and disruption impact.Design/methodology/approach: Path analysis was employed to test the hypotheses using the data collected from Chinese manufacturers.Findings: The results confirm an inverted U-shape effect of operational interdependency. As level of buyer-supplier operational dependency increase, the supply chain performance is enhanced. However, the benefits of operational interdependency diminish beyond a certain point. Additionally, the findings of this study show the disruption orientations positively moderate the relationship between interdependency and performance, whereas the effect of disruption impact is not significant.Originality/value: The findings of this study provide an explanation to the theoretical gap about the equivocal results of the effect of dependency, which provide new insights into the literature regarding buyer-supplier relationships. Furthermore, this paper identifies the moderating role of supply chain disruption in the relationship between operational interdependency and supply chain performance, which provide further explanation about the mixed results of the effect of dependency. The results confirmed that supply chain disruption orientation positively moderate the relationship between operational interdependency and supply chain performance.