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Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

This study investigates the impact of big data analytics capabilities on green supply chain performance. Moreover, it assesses the mediating effect of the green innovation and moderating effect of technological intensity.

This study is based on primary data that were collected from the food and beverages manufacturing sector operating in Jordan. A total of 420 samples were used for the final data analysis. Data analysis was performed via structural equation modeling (SEM) using SmartPLS 3.3.9.

The results of the data analysis supported a positive relationship between big data analytics capabilities and the green supply chain performance as well as a mediating effect of green innovation. It was confirmed that technological intensity moderated the relationship of green innovation on green supply chain performance.

The study faced many limitations such as the method of collecting primary data, which relied on a questionnaire only and the use of cross-sectional data, as well as studying one context and in one country.

The findings can guide managers and policymakers in the Jordanian food and beverage manufacturing sector on how to manage organizational capabilities related to big data analytics to enhance green supply chain performance and improve green innovation in these firms.

This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, green innovation, technological intensity and green supply chain performance. This study offers new theoretical and managerial contributions that add value to the supply chain management and innovation literature by testing the moderated mediation model of these constructs in the food and beverages manufacturing sector in Jordan.

The need for innovations to achieve economically viable and green supply chains has been illuminated in recent literature. Closed‐loop supply chains are part of green supply chain management and include traditional forward supply‐chain activities as well as additional activities of the reverse supply chain. Extant supply chain literature calls for a chain perspective in order to avoid sub‐optimization in the chain since changes at one stage can affect the performance at other stages. The purpose of the paper is to analyze how implementation of green supply chain innovations can enhance value offerings along the supply chain.

This research is based on an explorative, single‐embedded case study of a food supply chain. The case is concerned with implementation of green supply chain innovation in terms of biogas technology. The single case comprises four actors in the food supply chain: a retailer, an industrial bakery, a mill, and a farmer. Data collection is based on semi‐structured interviews with persons responsible for sustainability in the respective companies.

The case demonstrates that in order to reach the full potential of a green supply chain innovation, the different supply chain actors must be included. What in isolation of one company's perspective is perceived as a waste can be transformed to a value when the problem area is analysed from a chain perspective.

The paper is based on a single case study that does not provide static generalizations, and it represents the first step on a road to building new theory about green supply chain innovations. Future research can expand the findings by elaborating upon cases of other types of supply chains and supply chain innovations.

The perception of waste in a supply chain can be changed through green supply chain innovations. This case illustrates how obsolete food products at the retail level, which traditionally have been perceived as a waste product with related discarding costs, can be regarded as a valued input by implementation of biogas technology at the industrial bakery company. As a result, other food supply chains can investigate similar solutions.

The paper provides a case that visualizes how value offerings along a food supply chain can be chased through green supply chain innovations. Furthermore, the paper applies a supply chain perspective not only conceptually but also empirically. By focusing on the interfaces between each main actor in the supply chain, this paper contributes to existing research with valuable knowledge of inter‐organizational issues related to challenges of supply chain innovation.

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.

Significant unexplored research gaps exist in relation to assessing how governments influence innovations in the logistics and supply chains of SMEs to mitigate risks. This study emphasizes the impacts of regulatory coercion and government subsidization on logistics and supply chain innovations and the corresponding effect of logistics and supply chain innovations on financial performance, logistics and supply chain robustness, green competitiveness, social and environmental responsibilities.

Using a quantitative approach, partial least square structural equation modeling and a survey research design, data were collected and analyzed on 210 logistics and manufacturing firms.

The results support the fundamentals of the stakeholder theory and natural resources-based view (NRBV) regarding the positive impacts of regulatory coercion and government subsidization on logistics and supply chain innovations. Furthermore, logistics and supply chain innovations significantly influenced firm performance (financial performance, logistics and supply chain robustness and green competitiveness) and societal impact (social and environmental responsibilities). Particularly, while logistics and supply chain innovations had insignificant influence on social and environmental responsibilities, the effects of logistics and supply chain robustness were significant.

The study presents empirical findings on the impact of government influences on logistics and supply chain management and the corresponding implications for firms and society. Thus, this study contributes to corporate social responsibility (CSR) and logistics and supply chain literature and provides guidance for policymakers, industry players, scholars and practitioners.

Adopting the theory of planned behavior, this study attempts to investigate how subjective norms in the supply chain influence a firm's green innovation and how such influences are contingent upon the firm's internal and external factors (i.e. flexibility orientation and environmental dynamism). Two types of subjective norms are examined, i.e. injunctive norms (what supply chain partners say) and descriptive norms (what supply chain partners do).

Using survey data of 178 Chinese small and medium-sized manufacturers, we employ hierarchical linear regression to test the proposed hypotheses.

Our results indicate that both injunctive and descriptive norms are instrumental in stimulating firms to take actions on green innovation. Moreover, the flexibility orientation of a firm can strengthen the effect of descriptive norms. It is also observed that environmental dynamism weakens the efficacy of injunctive norms but strengthens that of descriptive norms on green innovation.

This study is among the first to apply the theory of planned behavior to explain the microfoundations of focal firm's green innovation and distinguish two types of subjective norms in the supply chain. In addition, it extends the theory of planned behavior by revealing internal and external contingent factors (i.e. flexibility orientation and environmental dynamism) of the relationship between subjective norms and firm behaviors.

The objective of this paper is to examine the impact of big data analytics capabilities (BDAC) on green radical supply chain innovation (GRSCI), green incremental supply chain innovation (GISCI), and green supply chain performance (GSCP) in the context of a developing country, Jordan. In addition, the mediating effect of GRSCI and GISCI on the relationship between BDAC and GSCP is tested.

Data collection is carried out through a survey with 303 respondents from manufacturing firms located in Jordan. Partial least squares-structural equation modelling approach is applied to analyse the collected data. Resource-based view and natural resource-based view theory form the adopted theoretical lens for this study.

The results reveal that BDAC positively and significantly affects GRSCI, GISCI, and GSCP. In addition, the results demonstrate that GRSCI and GISCI positively and significantly affect GSCP. Further, it is also found that GRSCI and GISCI positively and significantly mediate the relationship between BDAC and GSCP.

This study's author develops a theoretical and empirical model to investigate the relationship among BDAC, GRSCI, GISCI, and GSCP. This study offers new theoretical and managerial contributions that add value to the supply chain management literature by testing the mediation model in manufacturing firms located in Jordan.

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.

There have been several reviews of green, ecological and sustainable innovations, but a thorough assessment of green innovation (GI)'s mechanisms in a supply chain setting has not been attempted yet. The purpose of this paper is to review how GI was investigated in supply chains through the lens of a multilevel framework of innovation mechanisms.

The authors provide a comprehensive assessment of prior studies using a systematic literature review approach and content analysis of 136 papers identified from the Web of Science Core Collection database.

Current literature on green innovation supply chains (GISC) has been categorized according to three main causal mechanisms: situational, action-formation and transformational mechanisms. Three different levels of analysis were considered for the three mechanisms: macro, meso and micro. In addition, the authors have also assessed the value creation and appropriation outcomes of GI. The authors identified relevant research gaps in the extant literature and a set of propositions that may guide future research in this area.

This review provides a novel perspective on GISC based on a multilevel theoretical framework of mechanisms.

The causal mechanisms assessment of GISC can be adopted by organizations to convince their SC partners to engage in collaborative and more ambitious initiatives in the field.

The findings of this review could serve as an argument for more encompassing and ambitious GISC initiatives which can be of benefit to society.

A thorough assessment of the interacting mechanisms in GISC has not been attempted before. The authors identify gaps in current literature and provide several propositions for further research avenues based on causal mechanisms framework.

The literature on knowledge management in sustainable supply chain (KMSSC) has witnessed significant growth in the past two decades. However, a scientometric review that consolidates the primary trends and clusters within this topic has been notably absent. This paper aims to scrutinize recent advancements and identify the intellectual underpinnings of KMSSC research conducted between 2002 and 2022.

The present review employs a scientometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks to examine a total of 114 articles and conference papers on KMSSC.

Emerging research frontiers and hotspots are revealed and a state-of-the-art framework of KMSSC research structure is developed.

The review provides significant implications that guide KMSSC research and better inform sustainability decisions in the supply chain context.

To the best of the authors' knowledge, this is the first review to thoroughly synthesize the intersected domain of KMSSC using scientometric analysis.