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Though there is literature on green collaboration to supplier selections, there are hardly any empirical studies that analyze collaborative networks toward green supplier selection (GSS) from the perspective of green relational capital (GRC). Therefore, this study aims to fill this research gap by analyzing the development of collaboration toward GSS through the lenses of GRC. Also, this study explores how collaboration between institutions and their relevant green stakeholders, framed through the lens of GRC influences the selection of green suppliers.

This study uses an exploratory case study approach involving public universities in Ghana. This study is based on interviews conducted with 27 key respondents across seven universities. A purposive sampling technique was used in selecting respondents who were interviewed face-to-face with a semi-structured interview guide. Atlas ti software was used to generate themes for discussion.

This study’s findings suggest that the reason green criteria are not integrated into supplier selection is due to an insufficient collaboration among relevant green stakeholders. Through green training workshops, conferences, continuous professional development and affiliation with professional bodies, procurement practitioners can develop a collaborative network among themselves to promote the integration of green sustainability into supplier selection. Constructs that help to establish strong collaborative network identified in this study include trust and consistency, mutual benefits, obvious intentions and effective communication.

This study identified constructs promoting effective green collaboration toward the adoption of GSS. These constructs as identified in this study, provide a clear means of developing green collaboration among relevant stakeholders. By fostering and developing collaboration, the main construct of GRC, institutions can successfully integrate green sustainability into their supplier selection process, leading to long-term benefits for both the environment and the institution.

Collaboration toward integration of green sustainability into supplier selection necessitates engagement with various relevant green stakeholders, including suppliers, customers, government bodies, colleagues in sister institutions and environmental advocacy groups. This fosters a sense of shared responsibility and collective action toward sustainability goals.

This study offers empirical evidence on the impact of collaboration on supplier selection and green sustainability performance, contributing to the existing body of literature. By analyzing collaboration, a perspective of GRC, toward the integration of green sustainability into supplier selection is considered as a novel study.

The purpose of this study is to determine the extent to which institutional pressures affect supplier and customer collaboration and how collaboration explains green supply chain performance using institutional and stakeholder theories.

The paper builds on empirical evidence gathered from responses of Iranian industrial managers based on a self-administered survey. The hypotheses in the conceptual model are tested using Smart-PLS (partial least square).

The results provide evidence that regulatory requirements and internal motivators, as institutional pressure, enable customer and supplier collaboration. Furthermore, customer collaboration has a positive effect on supplier collaboration and, consequently, positively affects environmental and economic performance. But supplier collaboration is just positively affecting environmental performances and is not effective on economic performance.

The subject is that the study is a questionnaire-based survey, and the validity and reliability of the results are influenced by the respondents' idiosyncrasies. This study provides a comprehensive model of drivers, supply chain collaboration and performance in the context of the industry sector. The study contributes by providing empirical data with a focus on customer and supplier collaboration and their interrelationship in GSCM modelling.

The current paper is one of the new field of research which demonstrate the significance of customer and supplier collaboration with each other to attain green performance. It also contributes to show the effect of institutional pressure on the customer-supplier collaboration that fosters green performance in the supply chain.

The implementation of green collaboration has evolved from the interfirm level to the supply chain level, which requires more participation in information and manufacturing technologies. Despite many efforts to green supply chain collaboration (GSCC), the research on how to enhance it from a technological perspective remains unclear. Thus, this study aims to address this gap by exploring how to enhance green supplier, internal and customer collaboration through using information technology (IT) and advanced manufacturing technology (AMT), which further accelerates environmental and economic performance.

This study was conducted based on survey data collected from 213 manufacturing firms from different industries. The direct effects of the conceptual model were tested using the method of structural equation modeling (SEM), whereas the bootstrapping method tested the mediation effects of AMT between IT and GSCC.

The results show that green supplier collaboration (GSC) is significantly associated with environmental performance, while green customer collaboration (GCC) is positively related to economic performance. Green internal collaboration not only enhances green supplier and customer collaboration but also boosts environmental and economic performance. IT directly improves green internal collaboration but is negatively related to GSC and insignificantly related to GCC. However, AMT not only enhances green internal, supplier and customer collaboration but also mediates the relationship between IT and green supplier and customer collaboration.

This study offers comprehensive and novel insights into GSCC from a technological perspective, giving rise to meaningful contributions to green practices for both scholars and practitioners.

This paper aims to explore the how, why, who and what of collaborations in green innovation.

The study is based on 11 case studies conducted at high-technological firms where 30 top management representatives were interviewed.

The study shows that firms share knowledge on green innovation across industries through horizontal collaborations and their extended network, such as their suppliers’ and customer’s networks in other industries. The results also show that digitalization, connectivity and big data are considered important vessels to improve environmental sustainability, as firms believe that these technologies will result in large gains related to resource utilization. Finally, the firms in this study engaged to a wide extent in green innovation activities, which resulted in a variety of improved resource utilization related to energy efficiency, new materials, new technologies, limiting emissions and recycle management.

The paper contributes to the literature by showing that firms share knowledge on green innovation not only within their network but also across industries through horizontal collaborations and their extended network.

The study points to the complexity of collaborating on green innovation. The authors show the importance of digitalization to improving environmental sustainability, with managers needing to develop business models and finding collaboration partners that can facilitate the transformation towards more connected products and services.

The study contributes to the field of supply network collaboration by studying how firms collaborate to improve environmental sustainability.

This study aims to develop a comprehensive green supplier governance (GSG) concept and explore whether specific GSG approaches (green supplier assessment, green supplier assistance and green strategic partnership with suppliers (GSPS)) bring environmental and economic performance. Moreover, this study aims to reveal a synergistic effect of three GSG approaches on performance improvement.

Using data collected from 200 Chinese manufacturing firms, regression analysis was employed to reveal the relationship between specific GSG approaches and firm performance. Further, cluster analysis was used to identify groupings of firms regarding implementation levels of three GSG approaches and compare the performance of the firm groups.

Green supplier assessment (GSA) can bring environmental performance, but GSA is not associated with economic performance. Green supplier assistance is positively associated with economic performance, while green supplier assistance cannot improve environmental performance. Only GSPS leads to improvement for both environmental and economic performance. Furthermore, firms with high implementation levels of GSA and GSPS (whether with high or low implementation levels of GSAS) can achieve the best environmental and financial performance.

This study provides implications for firms to more strategically and comprehensively implement GSG approaches, which can be more effective in bringing environmental and economic performance.

The authors' study extends the GSG concept with two approaches by subdividing the collaborative approach into green supplier assistance and GSPS based on the collaboration levels. This study also sheds light on how to improve firm performance by different GSG approaches and reveals a synergistic effect of three GSG approaches on performance.

Due to the increasing complexity in supply chains and networks, several key practices have been highlighted as beneficial for supply chain performance. However, it is less known whether adopting such practices affects the innovation performance of the focal firm. This study hypothesises that supplier collaboration practices in four specific areas (green and ethical supply management, early supplier involvement, systemic purchasing and inter-firm learning) may lead to higher focal firm innovation performance, as they require the firm to adopt new business models, processes and product features.

The hypotheses drawn from previous research are tested with a quantitative survey study of 165 Finnish firms and analysed by means of regression analysis.

The results show that two examined practices are positively related to focal firm innovation performance: systemic purchasing and green and ethical supply management. Interestingly, early supplier involvement and inter-firm learning did not influence innovation performance.

Little is known about whether adopting certain practices in supply management affects the innovation performance of the firm. In fact, among the performance indicators of supply management, innovation is rarely studied, and more studies using innovation as a performance indicator are called for. Thus, this study focuses on supplier collaboration practices and their relation to the focal firm’s innovation performance.

While top management teams (TMTs) play an important role in shaping firms’ strategic choices and performance outcomes, studies on green innovation have rarely considered the influence of the TMT demographics of firms and their suppliers. Drawing upon upper echelon theory, this study investigates the impact of buyer–supplier TMT misalignment on green innovation performance, along with potential moderators of this effect.

The empirical setting is Chinese-listed manufacturing firms that are present in both the Chinese Research Data Services Platform (CNRDS) database and the China Stock Market and Accounting Research (CSMAR) database. The study employs panel data regression methods on a dyadic dataset of 530 paired buyer–supplier firm-year observations over the period 2008–2019.

Buyer–supplier TMT misalignment in terms of functional background and educational level is negatively associated with buyer green innovation performance. This negative effect can, however, be mitigated by TMT tenure and long-term incentives in buyer firms.

By introducing the notion of TMT background misalignment to the supply chain, this study advances the understanding of relational TMT demographics in predicting organizational performance and extends upper echelon theory.

Drawing upon information processing theory (IPT) and natural resource-based view (NRBV), this study analyses the role of social media technologies (SMT) on internal and external environmental collaboration and green innovation (green product, process and managerial innovation).

This study took in-depth empirical research by developing a survey questionnaire to identify the relationship between SMTs, environmental collaboration and green innovation. The respondents of the questionnaire were supply chain professionals working in the manufacturing industry of Pakistan. The survey collected 475 responses, which were tested through PLS-SEM using Smart-PLS.

The study results indicate that SMTs positively influence both internal and external environmental collaboration. Furthermore, internal environmental collaboration (IEC) fosters green products and green managerial innovation. In contrast, external environmental collaboration (EEC) fosters green processes and green managerial innovation. This study has also tested the mediation of IEC and EEC, which shows that both IEC and EEC mediate all the relationships except green process and green product innovation. The results also revealed that innovation capabilities moderate the relationship between environmental collaboration and green innovation.

Though this study has various practical implications, it is not free of limitations. First, the data were collected from Pakistan, and the results may only be compared with other developing countries. Second, few social media platforms have been considered, but they are increasing in numbers and could be used in upcoming studies. Third, green innovation in the context of products, processes and management is considered, but the concept is evolving, and its other indicators can be taken in upcoming studies.

This study addresses the implication of SMTs, environmental collaboration, innovation capabilities and green innovation, which are helpful for managers and policymakers to design policies.

This study provides the seminal operationalization of SMTs in environmental collaboration and green innovation. This study emphasizes innovation capabilities that firms should adopt.

Platform-based enterprises, as micro-entities in the platform economy, have the potential to effectively promote the low-carbon development of both supply and demand sides in the supply chain. Therefore, this paper aims to provide a multi-criteria decision-making method in a probabilistic hesitant fuzzy environment to assist platform-type companies in selecting cooperative suppliers for carbon reduction in green supply chains.

This paper combines the advantages of probabilistic hesitant fuzzy sets (PHFS) to address uncertainty issues and proposes an improved multi-criteria decision-making method called PHFS-DNMEREC-MABAC for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Within this decision-making method, we enhance the standardization process of both the DNMEREC and MABAC methods by directly standardizing probabilistic hesitant fuzzy elements. Additionally, a probability splitting algorithm is introduced to handle probabilistic hesitant fuzzy elements of varying lengths, mitigating information bias that traditional approaches tend to introduce when adding values based on risk preferences.

In this paper, we apply the proposed method to a case study involving the selection of carbon emission reduction collaboration suppliers for Tmall Mart and compare it with the latest existing decision-making methods. The results demonstrate the applicability of the proposed method and the effectiveness of the introduced probability splitting algorithm in avoiding information bias.

Firstly, this paper proposes a new multi-criteria decision making method for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Secondly, in this method, we provided a new standard method to process probability hesitant fuzzy decision making information. Finally, the probability splitting algorithm was introduced to avoid information bias in the process of dealing with inconsistent lengths of probabilistic hesitant fuzzy elements.

Drawing on institutional complexity, this study aims to explore the interaction effect of formal and informal institutional forces on the adoption of green supplier collaboration (GSC) practices by Chinese manufacturing firms.

The paper hypothesises that the effect of the formal institutional forces on GSC in China is influenced by an informal institutional variable, guanxi, which is the interpersonal relationship between employees of the supplier and the manufacturer. To test the conceptual framework, hierarchical moderated regression analyses are conducted using multi-respondent data from 408 randomly sampled manufacturing companies in China.

Guanxi has a double-edged sword effect on the adoption of GSC practices. Specifically, guanxi reduces the negative impact of the perceived costs and the complexity of regulations on the adoption of GSC practices, but it also weakens the positive effect of suppliers’ advice and community pressures on the adoption of GSC practices.

Results contribute to supply chain management literature by offering novel theoretical and empirical insights on the Chinese institutional environment governed by both formal and informal institutional variables.

Considering guanxi’s double-edged sword effect on the adoption of GSC, manufacturing companies are advised to carefully leverage their guanxi to maintain an institutional and contingent view of the environmental consequences in China.

This study empirically examines the effect of formal and informal institutional environments on the adoption of GSC practices in emerging economies.