Despite the importance of green supplier integration, how different governance mechanisms affect its influence on environmental innovation is still debated. This article explores the moderating effect of governance mechanisms (i.e., relational norms and contractual control) on the effects of green supplier integration and two dimensions of environmental innovation (i.e., environmental incremental and radical innovation), as well as the moderating roles of trust on the above moderating effects. We examine hypothesized relationships using two‐waved survey data from 206 Chinese manufacturing enterprises. Our results suggest that contractual control positively moderates the impact of green supplier integration on environmental incremental innovation, whereas relational norms negatively moderate this impact. However, both relational norms and contractual control fail to moderate the impact of green supplier integration and environmental radical innovation. Further, trust in supplier strengthens the negative moderating effect of relational norms on the impact of green supplier integration on environmental radical innovation, which reveals the “dark side” of trust in supplier.

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PurposeThis study aims to explore how to respond to market turbulence by big data analytics (BDA) capability and mass customization capability (MCC) from the perspective of organizational information processing theory (OIPT).Design/methodology/approachThis study examines the research hypotheses using hierarchical regression analysis by collecting data from 277 Chinese firms.FindingsThe results reveal that supply chain agility (SCA) completely mediates the impacts of technical skills on product-oriented and service-oriented MCC and the impact of data-driven decision-making culture (DDC) on service-oriented MCC. SCA also partially mediates the impacts of managerial skills on two dimensions of MCC and the impact of DDC on product-oriented MCC. In addition, market turbulence strengthens the impact of managerial skills on SCA.Originality/valueThis study provides insightful contributions and implications for enhancing MCC to cope with market turbulence.

PurposeThe purpose of this study aims to develop and test a motives-mass customization (MC) capability-performance model by dividing MC capability into product-oriented MC capability and service-oriented MC capability.Design/methodology/approachThis research tests the hypothesized relationships using survey data from 277 Chinese manufacturing firms.FindingsThe results indicate that instrumental, relational and moral motives all have significantly positive impacts on product-oriented and service-oriented MC capability. The authors also find that product-oriented MC capability partially mediates the impacts of relational and moral motives on operational, environmental and economic performance, while service-oriented MC capability partially mediates the impacts of instrumental, relational and moral motives on operational, market, environmental and economic performance.Originality/valueThis study complements the existing MC literature by describing MC capability into two dimensions: product-oriented MC capability and service-oriented MC capability.

Despite the importance of sustainable supply chain finance (SSCF), how it influences firm performance is still inconclusive. On the basis of social exchange theory, we examine how SSCF adoption affects firm performance via green supply chain integration (GSCI), as well as the moderating effect of environmental leadership. Employing data from 317 Chinese manufacturers, we conduct hierarchical regression analyses to examine research hypotheses. Our findings reveal that SSCF adoption positively affects GSCI. Green customer integration partially mediates the influence of SSCF adoption on firm performance. Green supplier integration partially mediates the effect of SSCF adoption on environmental performance, but does not mediate the effect of SSCF adoption on financial performance. Furthermore, environmental leadership negatively moderates the SSCF adoption–GSCI link. This research adds knowledge to the theory and practice by unveiling the “black box” between SSCF adoption and firm performance.