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Despite big data analytics capability (BDAC) has received extensive attention, how and under what conditions BDAC influences green supply chain integration (GSCI) remains unclear. This study draws on organizational information processing theory to examine the mediating effect of supply chain visibility in the BDAC–GSCI link and the moderating effects of flexibility- and control-oriented culture.

The authors examined the research model using two-waved survey data gathered from 317 Chinese firms. The authors employed hierarchical regression analysis and bootstrapping method to test hypotheses and assessed the robust of theoretical model using structural model.

The authors found that BDAC facilitates all three dimensions of GSCI. Supply visibility mediates the relationship between BDAC and all three dimensions of GSCI, whereas demand visibility only mediates the positive effects of BDAC on green internal and customer integration. In addition, control-oriented culture strengthens the positive impacts of BDAC on supply and demand visibility, while the moderating effects of flexibility-oriented culture are insignificant.

This research contributes to opening the “black box” of how BDAC affects GSCI and provides novel guidelines for firms enhancing the degree of GSCI.

Drawing upon social capital theory, this research aims to explore the influence of three dimensions of green intellectual capital (GIC) (i.e. green human capital [GHC], green structural capital and green relational capital) on green supply chain integration (GSCI) (i.e. green supplier, internal and customer integration), and the mediating effect of supply chain transformational leadership (SCTL).

To verify the hypothesized relationships, the authors conduct hierarchical regression analysis and bootstrapping method with two-waved survey data collected from 317 Chinese manufacturing firms.

The findings suggest that both green structural and relational capital positively influence three dimensions of GSCI, while GHC only positively affects green internal and customer integration. In addition, SCTL mediates the impacts of green structural and relational capital on three dimensions of GSCI and mediates the impacts of GHC on green supplier and internal integration.

This research contributes to the GSCI literature and practice by deeming GIC as an intangible resource that can enhance GSCI and revealing the mediating role of SCTL.

This study aims to explore the effect of human resource (HR) strategy (e.g. empowerment and teamwork) on green supply chain integration (e.g. green supplier and customer integration), which further leads to economic performance. Moreover, the authors examined the moderating effects of information systems and mutual trust on the relationship between HR strategy and green supply chain integration.

Using the empirical data from 213 Chinese manufacturing firms, this study uses structural equation modeling and hierarchical regressions to examine the conceptual model.

The study’s findings reveal that empowerment and teamwork positively enhance green supplier and customer integration. Green supplier and customer integration are positively related to economic performance. Moreover, information systems positively moderate the relationship between empowerment and green supplier integration but negatively moderate the relationship between teamwork and green supplier/customer integration. Mutual trust positively moderates the relationship between empowerment and green supplier integration and the relationship between teamwork and green customer integration.

This study extends the existing understanding regarding how to enhance green supply chain integration by adopting an appropriate HR strategy in the context of different levels of information systems and mutual trust.

The purpose of this paper is to explore the relationship between green supply chain integration (GSCI) and green innovation and to analyze the moderating effects of environmental uncertainty.

A multi‐dimensional approach was employed to develop a comprehensive theoretical framework which encompasses various aspects of GSCI, green innovation and environmental uncertainty. To identify the effects of GSCI and environmental uncertainty on green innovation, hierarchical moderated regression analysis was applied using questionnaire data from 211 Taiwanese, information technology (IT) manufacturers.

Supplier, customer and internal integration enhance both green product and process innovations. Demand uncertainty positively moderates each GSCI‐green innovation link. However, the moderating effect of technological uncertainty is insignificant.

This study conducted a cross‐sectional investigation of the Taiwanese IT industry. Therefore, it lacks the advantages of a longitudinal case study and its findings cannot be generalized to other industries.

This study argues that, to improve green innovation performance, managers should endeavor to integrate resources and capabilities within their organizations, suppliers and customers. It also suggests that managers should constantly follow demand trends in the market and maintain tight technological networks among supply chain partners.

This study provides new insights into green supply chain management (GSCM) knowledge: theoretically creating GSCI‐green innovation links with the natural‐resource‐based view, and empirically demonstrating that effective green innovation requires multi‐dimensional GSCI. Furthermore, it develops a valid and reliable scale of environmental uncertainty for future research in GSCM, and presents the characteristics of implementing GSCI in Taiwan's IT industry.

The need to integrate environmental management into supply chains has been recognized recently. Yet, there is a lack of theoretical ground and conceptual framework guiding such efforts to leverage resources and capabilities across supply chain partners. Grounded on stakeholder and resource orchestration theories, the purpose of this paper is to map the emerging practices, develops a theoretical framework, and proposes future research for understanding an emerging best-practice called “green supply chain integration” (GSCI).

A systematic literature review of 142 academic articles is conducted to ensure the process of framework development is auditable and repeatable. The article selection criteria are aligned with the review question ensuring that related theories and practices are identified and evaluated.

The paper illustrates how stakeholder and resource orchestration theories can be used to explain an integrative approach of environmental management in supply chains. The paper identifies four GSCI practices – internal, supplier, customer, and stakeholder GSCI. A theoretical framework and proposition also provide for new directions of research.

The results of this paper are drawn from an extensive review of the existing literature and novel practices that have not been revealed and could have been missed. The emerging practices and theoretical framework can be used for further empirical investigation.

This paper integrates theoretical concepts and empirical findings from the disparate literature and identifies four emerging practices of environmental management by developing a theoretical framework and proposition for future research.

Small and medium enterprises (SMEs) are expected to be more creative and innovative to survive in the business competition and to make their businesses environmentally friendly, to develop global supply chain strategies, and to make innovations in products and business processes to become indispensable. This study discusses the effect of green supply chain integration (GSCI) and environmental uncertainty on performance through the moderation of green innovation. Structural equation modeling and maximum likelihood estimation were used to analyze a sample of 130 SMEs in East Java, Indonesia. The result shows that GSCI and environmental uncertainty significantly affect performance, and green innovation significantly moderates the effect. This research found that SME’s performance is influenced by GSCI concept and green innovation application as well as SME’s understanding about recent and future environmental uncertainties; this fits the market demand.

This study provides an integrative model that facilitates green product innovation (GPI) by adopting dynamic capabilities theory and the motivation-opportunity-ability (MOA) framework. Drawing on dynamic capabilities theory, this study emphasizes green supply chain integration (GSCI), consisting of internal and external integration, as a dynamic capability that drives GPI. Moreover, this study analyzes the environmental conditions that benefit the development of dynamic capabilities using the MOA framework and focuses specifically on government support (GS) and market greenness (MG) as precursors to GSCI.

Survey data were collected from 300 Chinese manufacturing firms. The proposed hypotheses were tested using hierarchical multiple regression analysis.

The regression analysis reveals that (1) GS and MG positively affect both internal and external integration and (2) internal and external integration positively affect GPI.

In explicating a model of GPI, this study extends the theoretical lens of dynamic capabilities beyond the intraorganizational level to the supply chain level. Moreover, this study enhances the understanding of dynamic capability development by considering the environmental conditions that represent motivation- and opportunity-based drivers of GSCI.

The purpose of this paper is to explore the impact of green supply chain integration (GSCI) on sustainable performance which includes environmental, social and economic performance.

Based on data collected from 206 Chinese manufacturers, this study uses structural equation modeling with the maximum-likelihood estimation method to test the theoretical model.

The results show that different dimensions of GSCI have different outcomes. Green internal integration lays the foundation for green supplier integration (GSI) and green customer integration (GCI), and is related to both environmental and social performance. GSI is positively related to economic performance, whereas GCI is positively related to social performance.

Believing that “how to be green” matters, this study focuses on an integrative approach to green supply chain management (GSCM), shedding new light on how GSCI influences performance and providing practical guidelines for different stakeholders.

The objective of this paper is to investigate the effect of supply chain quality integration (SCQI) and green supply chain practices and their impact on the Triple bottom line (TBL) in driving sustainability performance.

Structural equation modeling of partial least squares was used to study the relationships between SCQI and green supply chain practices (GSCPs) in driving sustainable performance and is empirically tested using data from 167 manufacturing firms.

This study reveals that supply chain quality integration (SCQI) enhances the green purchasing activity as well as the implementation of internal environmental management (IEM) of the firm. However, IEM is a crucial factor that contributes to sustainability performance.

This study is one of the few relevant researches that would benefit manufacturing organizations to further improve their triple bottom line by integrating supply chain quality with green practices.

Based on organizational information processing theory, this research explores how big data analytics capability (BDAC) contributes to green supply chain integration (GSCI) and the contingency role that data-driven decision culture plays.

Using the two-wave survey data collected from 317 Chinese manufacturing firms, the authors validate the hypotheses.

The results show that big data managerial capability has positive impacts on three dimensions of GSCI, while big data technical capability has positive impacts on green internal and customer integration. Moreover, green internal integration mediates the impacts of big data technical capability and managerial capability on green supplier and customer integration. Finally, data-driven decision culture alleviates the positive impacts of big data technical and managerial capability on green internal integration.

The findings suggest that firms can leverage big data technical and managerial capability to enhance information processing capability for achieving a higher degree of GSCI. Further, the critical role of data-driven decision culture in affecting the link between BDAC and GSCI should not be overlooked.

This research contributes to literature on green supply chain management by revealing the role of BDAC in improving GSCI.