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To examine the interplay between sustainable supply chain management (SSCM) and circular economy, this research conceptualises and empirically tests an integrative framework of environmental information exchange with suppliers (ES), environmental product design (EPD) and cost performance (CP) with the contingency effect of digital orientation (DO). The associations proposed in the integrative framework provide a configuration of SSCM practices that support circular economy's restorative processes in the digital age.

The resource orchestration theory and contingency theory are used to investigate the mediation and moderating effects, which were tested by a moderated mediation analysis of survey data of 100 firms in Australia.

The results show that EPD fully mediates the relationship between ES and CP. Further, DO was found to moderate the relationship between EPD and CP, but not the relationship between ES and EPD.

The empirical findings of this study offer an effective SSCM practice configuration for firms seeking to target advanced circular business models and economic benefits. Managers should be aware that ES may not be enough to improve CP; EPD is a required mechanism to translate the ES benefits into cost superiority. Managers should also stimulate a DO culture to develop effective EPD capabilities, which leads to improved CP and a foundation for companies seeking to target circularity.

This study advances prior theoretical and practical knowledge. The authors propose and empirically test an integrated SSCM and circular economy model that incorporates mediation and moderation effects to clarify inconsistent findings in prior work, which provides a more holistic and practical understanding of SSCM practices in the digital context. Furthermore, the SSCM literature recommends the adoption of circular economy principles. The integrated model in this study provides a bridge between SSCM and circular economy.

This study aims to investigate whether Industry 4.0 digital technologies can enhance the effects of lean production on social performance.

Survey data collected from China’s manufacturing industry are used to test research hypotheses.

The results reveal that the three dimensions of lean production (internal, customer and supplier) have a significant positive effect on social performance and that digital technology advancement (DTA) positively moderates these relationships. DTA adds only a marginal contribution to social performance.

This study addresses a new challenging question from manufacturing firms: how to integrate lean, technology and people? The empirical findings provide timely and insightful practical guidance for managers to better understand the role of digital transformation in the traditional lean context.

While digitalization is known to complement lean production, this study shows digitalization also complements the effects of lean production on social performance.

The purpose of this paper is to examine whether the fit between innovativeness and lean practices (LPs) can affect triple bottom line (TBL) performance. Two types of fit are tested: fit-as-mediation in which innovativeness creates TBL performance through the mediation of LPs and fit-as-moderation whereby the effects of innovativeness on TBL performance are moderated by LPs.

Structural equation modelling and moderated regression are used to test the fit-as-mediation and fit-as-moderation models using survey data collected from 241 manufacturers in China.

The results show that innovativeness is positively associated with LPs that emphasize operational excellence. Innovativeness indirectly affects all three TBL dimensions through the mediation of LPs, and LPs do not moderate the effects of innovativeness. The applicability of fit-as-mediation model suggests directing attention towards integrating innovation and LPs within same organizational units to achieve improved TBL performance.

The findings suggest manufacturers should involve employees within the same organizational unit embrace an integrated culture of innovativeness and LPs and avoid separate attention to innovativeness and LPs.

This is the first study of which the authors are aware developing and empirically testing both fit-as-mediation and fit-as-moderation models within the same study to understand how innovativeness and LPs work together to influence TBL performance. This study extends the boundaries of current understanding by examining how, when and why the innovativeness – LPs–TBL relationship arises between constructs central to our theories.

It remains unclear how environmental scanning (ES) can generate firm performance through supply chain management (SCM) practices. The purpose of this paper is to investigate the effects of ES on operational performance through supply chain integration (SCI) and supply chain responsiveness (SCR).

The scanning–interpretation–action–performance (SIAP) model and organization information processing theory (OIPT) are used to explain the ES–SCI–SCR–performance (S–I–A–P) relationships, which were tested by structural equation modeling of survey data of 329 manufacturing firms in China.

The results indicate that ES has a significant positive effect on SCI and SCR. SCI is significantly and positively related to SCR. SCR partially mediates the relationship between ES and operational performance, and fully mediates the relationship between SCI and operational performance.

Supply chain managers should collaborate with senior executives to obtain signals from ES activities, as input for building SCI and SCR and use SCI as a joint interpretation mechanism of ES signals for developing SCR to reap operational advantages in the rapidly changing business environment.

Strategic management academics and practitioners have explicitly emphasized the importance of ES in developing strategic plans but are unsure about the role of SCM in creating operational advantages through ES. Using the SIAP model, this study theorizes and demonstrates how SCI and SCR transform signals from ES into operational performance. In doing so, a more precise application of OIPT is explicated in the supply chain context.

This study aims to examine the relationship between the three dimensions of intellectual capital (IC), i.e. human, social and organizational, and supply chain resilience (SCR) through testing a primary (mediation) and competing (moderation) model.

Structural equation modelling and regression analysis were used to test the mediation and moderation models using survey data from Chinese manufacturers.

Dual processes in which human, social and organizational capitals build SCR are revealed: all three IC components act as knowledge stocks for informing each other, and both organizational and social capitals act as intervention mechanisms that draw knowledge resided within individuals and collectively deploy/enrich such knowledge for responding to supply chain disruptions.

The empirical results provide useful and timely guidance to managers on how to leverage knowledge resources to develop resilience, which is particularly valuable in the current volatile environment.

By empirically testing both the mediation and moderation models, this study provides crucial evidence for advancing the understanding of how the three IC components may be managed to achieve SCR, which is of critical importance for addressing the many unprecedented disruptions facing global supply chains and economies.

The purpose of this paper is to extend prior supply chain research by empirically exploring the relationship among guanxi, supply chain integration (SCI), and operational performance. More specifically, this study investigates the mediating role of SCI.

Ordinary least square regression is used to analyze survey data collected from 126 automobile manufacturers in China.

The results reveal a significant positive relationship between guanxi and SCI, and that SCI is significantly and positively related to operational performance. The authors’ findings further suggest that guanxi indirectly affects operational performance through SCI.

The empirical findings imply that it is vital for managers to recognize the important mediating role of dynamic SCI capabilities.

As a fundamental Chinese cultural norm, guanxi can be critical in a supply chain context. Although previous research has identified the importance of guanxi and SCI in improving firm performance, far less attention was given to the study of the mediating effect of SCI on the guanxi-performance relationship. This study thus fulfills the research gap by providing an initial empirical examination of the mediating role of SCI in China’s automotive industry.

The role of macrolevel factors in entrepreneurial intention remains as an underexplored issue in the literature. The purpose of this study is to reduce this gap by testing the effect of economic development on entrepreneurial intention.

This study adopts a quantitative approach that formally tests for a quadratic relationship between economic development measured by the gross domestic product (GDP) and the Global Competitiveness Index (GCI)) and entrepreneurial intention based on longitudinal data covering 72 countries over the 2010–2016 period. Data are gathered from the Global Entrepreneurship Monitor (GEM), the International Monetary Fund (IMF) and the World Economic Forum (WEF).

The results reveal the existence of a U-shaped relationship between the country's GDP per capita and individuals' entrepreneurial intention. The results also support a similar relationship between GCI and entrepreneurial intention. These findings suggest that individuals' entrepreneurial intentions differ between countries depending on the level of economic development.

To the authors' knowledge, this article presents the first attempt to investigate the role of economic development on entrepreneurial intention based on longitudinal data covering a large sample of countries. Moreover, by providing evidence of a U-shaped relationship between economic progress and individuals' propensity to attempt an entrepreneurial career, this study enhances the understanding of the macrolevel determinants of entrepreneurial intention.

Digitally oriented firms are faced with new opportunities and risks in today’s ever-changing world. Drawing upon organisational entrainment theory, this study investigates how supply chain (SC) entrainment improves the effects of digital orientation on firm performance through absorbing risks and exploiting opportunities.

Survey data were collected from 307 Chinese manufactures and analysed using structural equation modelling and regression analysis.

The results show digital orientation absorbs risk through evoking three SC entrainment dimensions (i.e. internal entrainment, entrainment with customers and entrainment with suppliers). Entrainment with customers and suppliers mediate the relationship between internal entrainment and firm performance. An opportunity exploitation mechanism is evidenced by the moderating effects of internal and external entrainment on the relationship between digital orientation and firm performance.

The empirical findings provide timely insights for managers to fully harness the benefits of digital orientation by using SC entrainment, i.e. to match the tempo and pace of internal and external cyclical activities to reduce the risks and increase the benefits of adopting advanced digital technologies. The authors show managers how to adjust their organization’s actions to keep tempo and synchronous phase with their SC partners.

The study introduces and conceptualizes a construct (i.e. SC entrainment) to understand how risks and opportunities arising from digital transformation can be addressed to maximize the value of advanced digital technologies.

This study aims to explore how bundling knowledge resources (i.e. knowledge integration mechanisms [KIMs]) and digital resources (i.e. big data-powered artificial intelligence [BDAI]) can enhance supply chain visibility (SCV) capabilities for implementing just-in-case (JIC) practices.

Analysis of survey data from Chinese manufacturers was conducted to test the proposed hypotheses.

The results reveal a significant positive effect of KIMs on BDAI, as well as positive effects of both BDAI and KIMs on SCV. Furthermore, the results suggest that SCV partially mediates the KIMs–JIC relationship and fully mediates the BDAI–JIC relationship.

This study advances the digital SC and inventory management literature by proposing and empirically testing a digital JIC model that explores how to bundle knowledge and digital resources into SC capabilities for managing JIC inventory in uncertain and digital times.

This study aims to address a significant and previously unanswered question for both academics and practitioners: how do organizations learn to apply Blockchain technology to support modern slavery (MS) supply chain capabilities? Specifically, this study examines whether employees’ digital dexterity (EDD) and strategic investment in Blockchain technology (SIBT) can support three MS supply chain capabilities: internal MS capability (IMSC), MS capability with customers (MSCC) and MS capability with suppliers (MSCS).

This study uses resource accumulation and deployment perspective to explain how EDD promotes SIBT, which then drives the development of MS supply chain capabilities. Survey data collected from the Chinese manufacturing industry were used to test the proposed theoretical framework and hypotheses through structural equation modelling and moderated regression analysis.

EDD has a positive relationship with SIBT. SIBT has a positive relationship with IMSC. IMSC fully mediates the relationships between SIBT and MS capability with customers and suppliers.

By conceptualizing MS supply chain capabilities as a multi-dimensional construct for the first time, this study discovers the significant mediating roles of IMSC. The empirical findings also clarify digital dexterity of employees that drives investment in Blockchain technology to foster MS supply chain capabilities as resource accumulation and deployment processes.