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Implementing sustainable practices in multi-tier supply chains (MTSCs) is a difficult task. This study aims to investigate why such endeavours fail and how MTSC partners can address them.

A single-case study of a global food retail company was used in this study. Semi-structured interviews with the case firm and its first- and second-tier suppliers were used to collect data, which were then qualitatively analysed using thematic analysis.

Major barriers impeding the implementation of sustainability in multi-tier food supply chains were revealed such as the cost of sustainability, knowledge gap, lack of infrastructure and supply chain complexity. Furthermore, the findings reveal five possible solutions such as multi-tier collaboration and partnership, diffusion of innovation along the chain, supply chain mapping, sustainability performance measurement and capacity building, all of which can aid in the improvement of sustainability practices.

Future research should investigate how specific barriers and drivers affect specific aspects of sustainability, pointing practitioners to specific links between the variables that can aid in tailoring sustainability oriented investment.

This research supports managerial comprehension of MTSC sustainability, pointing out ways to improve sustainability performance despite the complex multi-tier system of food supply chains.

The research on MTSC sustainability is still growing, and this research contributes to the debate about how MTSCs can become more sustainable from the perspective of the triple bottom line, particularly food supply chains which face significant sustainability challenges.

This paper aims to investigate the impact of sustainable board governance, based on (1) sustainability board committees, (2) critical mass of female board members and (3) sustainability-related executive compensation, on sustainable supply chain reporting (SSCR).

Based on stakeholder and critical mass theories, a sample of 1,577 firm-year observations for firms listed at the EuroSTOXX600 for the period 2017–2021 is used. Sustainable board governance and SSCR proxies are collected from the Refinitiv database. Correlation and logit regression analyses are conducted to measure the impact of sustainable board governance on SSCR.

Sustainable board governance significantly improves SSCR. The findings are robust to various robustness checks, based on the modification of dependent and independent variables.

Due to massive regulations on sustainability reporting, finance and corporate governance, firms listed on the EuroSTOXX 600 are focused in this analysis. The European capital market represents a unique setting for archival research.

European standard setters should connect the relationship between sustainable board governance and SSCR in future regulations, for example, due to the recent corporate sustainability reporting directive (CSRD) and corporate sustainability due diligence directive (CSDDD).

To the best of the author’s knowledge, this paper provides the first analysis on the impact of sustainable board governance on SSCR.

Nowadays, a prominent research area is the development of competitive advantages in companies, due to their environmental commitment and orientation. Based on resource-based view (RBV) and institutional theory (InT), this paper aims to investigate the influence of internal and external orientation on businesses' sustainable performance while considering the effect of sustainable supply chain management (SSCM) practices.

Data from 351 manufacturing companies in the Kingdom of Saudi Arabia have been collected and analysed through structural equation modelling (SEM) using the partial least squares (PLS) method.

The results indicated that both internal and external environmental orientation have important effects on SSCM practices, which in turn have a considerable beneficial effect on environmental, social and economic performance.

Although SSCM is constantly gaining ground in the literature, most SSCM research and models examine its effects, antecedents or motivation, mainly adopting a qualitative approach. Research on the topic adopting a large-scale empirical approach is still limited. In this context, this study contributes to the SSCM management literature by exploring the role of environmental orientation in facilitating the adoption of SSCM practices and improving companies' performance.

This research attempts to explore how reverse logistics (RL) and sustainable supply chain initiatives (SSCI) affect sustainability performance (SP) in the manufacturing industry under the moderating effects of organisational learning capability (OLC). At the same time, this study is expected to allow manufacturers to advance towards a high level of model generation in the green economy.

The data for this study was obtained from 451 manufacturing companies in the Hebei Province, China. This study develops a model and tests all hypothesised relationships using partial least square–structural equation modelling (PLS-SEM) with two-step analytical procedures.

The results indicate that SSCI and RL have a positive relationship with SP, and SSCI is positively related to RL. Moreover, the OLC moderates the relationship between RL and SP as well as the relationship between SSCI and SP.

The findings of the study yield valuable managerial insights on how the effective implementation of green practices, coupled with the utilisation of learning capabilities, can contribute to improving the sustainability of manufacturing firms. The study has certain limitations that suggest potential avenues for future research, the most significant of which is our reliance on data from a single country, which may impede the generalisability of the findings.

This study contributes to the existing literature on SP by considering RL and SSCI and offers a unique theoretical argument that describes the relationships by considering the moderating effect of OLC, which has not been empirically explored.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

The purpose of this study is to discuss policy review in the interest of sustainable innovations in Malaysia’s public procurement. This study also offers the overall relationship between existing policies related to sustainable innovations in public procurement and the coherences towards the four dimensions of sustainable innovations.

This study outlines the current policies in Malaysia which are related to sustainable innovation initiatives and explores the cohesiveness that appears disconnected and understood separately. Policy content analysis is conducted on the current policies related to sustainable innovations in the context of Malaysia’s public procurement.

This study observed that the current policies related to sustainable innovations in public procurement are actually interconnected with each other through a hierarchical framework. This study also demonstrates that the 12th Malaysia Plan has comprehensively encompassed every aspect of the environment, social, economic and innovation to contribute to one primary goal – green economic growth.

The proposed policy framework is expected to be beneficial for the administrator executive among the civil servant to connect the independent policies and, at the same time, contribute to the overall goal of green economic growth. Through a broad policy structure too, this study helps the industry player to recognize their potential in any area related to sustainable innovation.

The policy framework illustrated is new to the literature, especially in Malaysia’s context. The compilation of current policy grounded by the 12th Malaysia Plan has not been presented in any publications.

With the increasing concern over environmental pollution and global warming, companies are required to act responsibly to mitigate these environmental issues. Their activities should adhere to the standards of environmental sustainability. Thus, this study aimed to investigate the impact of green supply chain management (GSCM) and total quality management (TQM) on environmental sustainability, with environmental management practices (EMP) as the moderating factor.

A quantitative study was adopted using the management data from various manufacturing companies in Jordan. A total of 362 responses were collected, and the proposed hypotheses were tested using a structural equation model.

The study findings revealed that both GSCM and TQM significantly and positively influenced environmental sustainability. The impact of TQM on environmental sustainability was higher than that of GSCM. Moreover, no evidence was found on the moderating role of EMP.

The study’s results highlighted to the decision-makers the main practices to expand the quality implementation across their supply chain to improve environmental sustainability. The study also demonstrated the reasons behind the insignificance of EMPs in strengthening the relationships between GSCM, TQM, and environmental sustainability.

While there are very few studies examining the relationships between GSCM and TQM on environmental sustainability. This study adds to the literature body as one of a few empirical studies that tested the integrated effect of GSCM and TQM practices within the context of the manufacturing industry in a developing country. Moreover, this study takes a holistic approach by tapping into EMP to confirm whether it moderated the relationships between GSCM, TQM, and environmental sustainability.

This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the subject. Facing the growing interest in carrying out studies directed at sustainability, to the detriment of more prescient environmental and social impacts and the need to consolidate the concepts present in the literature regarding the SSCM, an absence of similar studies in the current literature was found. The authors have selected articles to compose a database that allows users to analyze and classify publications on MMs in SSCM, being those subdivided into 7 categories: focus, methodology, analyzed sector, sustainable practices, dimensions of sustainable development, type of MM and model/framework validation method.

To achieve this purpose, a literature systematization was conducted by searching publications using defined keywords in two databases and following a process of classification. The systematic process has five steps, from the selection of databases to the filtering of publications, review of information and analysis of the sample.

The topic under study is promising, with a few publications dealing with it, mainly in Brazil, and there is a trend to exploit more of the area in future research.

This research provides a detailed analysis of an emerging theme, divided into seven thematic categories. Results demonstrate that the topic is still underexplored, indicating an important research gap to be filled.

Existing literature is still lacking field works that reflect the implications and applications of blockchain in supply chain management. This paper aims to explore the role of blockchain technology in improving the performance of maritime shipping and develop a model to enhance blockchain applicability.

Qualitative data were collected through 28 semi-structured interviews from several supply chain actors in the Middle East and were analyzed based on a thematic analysis approach using NVivo software.

An emerging model for improving the performance of the maritime shipping industry through blockchain technology has been developed. The findings suggest that there are transparency and process efficiency–related improvements as an outcome of Blockchain implementation in the maritime shipping industry.

As shipping industry is largely fragmented, small players find it difficult to achieve great benefits such as those achieved by larger players in the sector. The authors’ model provides guidance for the implementation of Blockchain.

To the best of the authors’ knowledge, this is one of the first scholarly works to investigate Blockchain applicability in shipping industry in the Middle East. The lack of a universal standard is a considerable challenge which is still hindering the development of blockchain applications that integrate the different actors.

This paper aims to identify and model barriers to internationalising automotive small and medium-sized enterprises (SMEs) from emerging market perspectives using the interpretive structural modelling (ISM) approach.

In this paper, 13 critical barriers are identified through an exhaustive literature review and the Delphi method. The ISM tool is then used to establish interrelationships among the identified barriers to expose and discuss the key barriers having high-driving power.

It was found that barriers such as trade agreements and export documentation, exchange rates and material inadequacies were relatively less challenging than the other barriers. At the next level, there are barriers such as supply chain, high international quality standards, legal barriers, skilled labour marketing capacity and information and logistics and infrastructure. Finally, barriers such as government policies, entrepreneurial orientation and technology and finance availability posed the most significant challenge for the internationalisation of Indian SMEs. These barriers warrants immediate and considerable attention.

This study developed a model based on experts’ opinions, which may be biased and influence the final model as proposed in this study. This research will help the owners/managers of the SMEs and policymakers identify and understand the significance and relevance of automotive sector barriers while strategizing.

To the best of the authors’ knowledge, this is the first time an attempt has been made to apply ISM methodology to explore the interdependencies among the critical barriers of internationalisation for SMEs of Indian automotive industries. This study will guide the owner–managers management practices to overcome ineffective practices and move towards successful internationalisation.