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The ability to detect disturbances quickly as they arise in a supply chain helps to manage them efficiently and effectively. The purpose of this paper is to demonstrate the feasibility of automatically and therefore quickly detecting a specific disturbance, which is constrained capacity at a supply chain echelon.

Different supply chain echelons of a simulated four echelon supply chain were individually capacity constrained to assess their impacts on the profiles of system variables, and to develop a signature that related the profiles to the echelon location of the capacity constraint. A review of disturbance detection techniques across various domains formed the basis for considering the signature-based technique.

The signature for detecting a capacity constrained echelon was found to be based on cluster profiles of shipping and net inventory variables for that echelon as well as other echelons in a supply chain, where the variables are represented as spectra.

Detection of disturbances in a supply chain including that of constrained capacity at an echelon has seen limited research where this study makes a contribution.

The garments/textiles industry is the second most polluting industry in the world. However, efforts to understand and curtail its adverse environmental impacts have not been commensurate, and previous works have largely been fragmented and disjointed. This study aims to coduct a comprehensive and systematic green supply chain management (GSCM) investigation on this industry, where a multidimensional framework involving green supply chain practices and performance is developed, validated and applied.

A framework consisting of 12 constructs (8 on practices and 4 on performance) and their underlying measures were developed through an extensive literature review. A survey methodology was used to obtain responses from 403 garment-manufacturing firms in Bangladesh, one of the leading garment producers in the world. Confirmatory factor analysis and structural equation modeling were used first to validate the first- and second-order constructs and then test the hypothesized relationships.

Internal environmental management and cooperation with stakeholders were identified as necessary precursors for implementing the second-order green supply chain practices comprising green design, green purchasing, green manufacturing, green transportation, green facilities and end-of-life management. The implementation of green supply chain practices was found to have a (direct) positive impact on environmental, economic and operational performance and an indirect positive impact on organizational performance. Similarly, both economic and operational performance was found to impact organizational performance positively. Surprisingly, a negative relationship (albeit low) was observed between environmental and organizational performance. Also, garment-manufacturing firms were found to have been unable to translate their IEM capabilities into strategic and long-term cooperation with stakeholders.

The study fills a gap in the literature about applying/implementing GSCM in the garment industry. Future studies in the garment industry and elsewhere could utilize the framework to understand further the synergistic impact of green supply chain practices on performance.

The findings provide practitioners, policymakers and organizations associated with the garment industry with critical insights on the various opportunities and challenges in adopting GSCM. Also, the positive impact of green supply chain practices on performance could provide the impetus for manufacturing firms to adopt GSCM.

A comprehensive GSCM investigation on the garment industry has not been previously attempted and constitutes the novelty of this work. Also, Bangladesh is the second-largest garment exporter worldwide, making this study contribution even more valuable.

The purpose of this study is to identify and analyze the barriers associated with the adoption of Industry 4.0 technologies in agricultural supply chains.

The study initially identified thirteen barriers by conducting a literature review and semi-structured interviews with key stakeholders. Subsequently, these barriers were validated and modeled using an integrated Fuzzy Delphi-ISM approach. Finally, MICMAC analysis was employed to categorize the barriers into distinct clusters.

The results provide considerable insights into the hierarchical structure and complex interrelationships between the barriers as well the driving and dependence power of barriers. Lack of information about technologies and lack of compatibility with traditional methods emerged as the two main barriers which directly and indirectly influence the other ones.

The robust hybrid Fuzzy Delphi and ISM techniques used in this study can serve as a useful model and benchmark for similar studies probing the barriers to Industry 4.0 adoption. From a theoretical standpoint, this study expands the scope of institutional theory in explaining Industry 4.0 adoption barriers.

The study is timely for the post-COVID-19 recovery and growth of the agricultural sector. The findings are helpful for policymakers and agriculture supply chain stakeholders in devising new strategies and policy interventions to prioritize and address Industry 4.0 adoption barriers.

It is the first comprehensive, multi-country and multi-method empirical study to comprehensively identify and model barriers to Industry 4.0 adoption in agricultural supply chains in emerging economies.

Managing environmental consequences while sustaining economic development necessitate strong commitment and participation of all firms across sectors. However, the environment-related role of foreign and local firms is unclear from previous research. With increasing trade liberalization and entry of foreign firms, this question has become particularly relevant. The purpose of this paper is to contrast the roles and contributions of foreign and local firms from an environmental sustainability perspective.

Using data collected through a structured survey (395 responses) and semi-structured interviews (19 numbers) from the United Arab Emirates (UAE) construction sector (research setting), the study analyses and understands the hypothesized differences between foreign and local firms on three key environmental sustainability aspects: the extent of environmental practices implementation, the strengths/influences of drivers and barriers affecting the implementation, and the environmental, cost-related, and organizational performance benefits derived.

Foreign firms were found to implement environmental practices to a greater extent, have a greater internal drive to implement these practices, and face lower barriers to implementation than local ones. Local firms though were found to be not far behind foreign ones with regards to the environmental, cost-related, and organizational performance benefits derived.

Findings from the study are expected to help policymakers and practitioners develop policies/interventions that ensure all firms irrespective of their nature of ownership contribute equitably to environmental sustainability.

This study is arguably the first comprehensive attempt to understand how various environmental sustainability aspects are perceived and performed by local and foreign firms.

Effective environment and climate change management require supply chain-wide focus (from the initial design to the end-of-life management) as well as universal participation and commitment of firms. However, the environment-related role and contribution of different sized firms in the supply chain are unclear from previous research which this study seeks to clarify using the context of UAE's construction sector.

Using data collected from a structured survey (455 responses) and semi-structured interviews with 20 key supply chain stakeholders, this study analyses and understands hypothesized differences between small and medium firms (SMEs) and large firms on three key supply chain environmental sustainability aspects: the extent of green supply chain practices (GSCP) implemented, the strengths/influences of drivers and barriers affecting the implementation of GSCP, and the associated environmental, cost-related and organizational performance benefits derived from GSCP.

Large firms were found to show significantly greater levels of implementation of GSCP, greater internal drive for implementation and lower barriers to implementation than SMEs. SMEs though were found to be not too far behind large firms with regards to the environmental, cost-related and organizational performance benefits from GSCP implementation.

Findings from this study is useful for benchmarking the GSCP implementation of large firms and SMEs, influences of drivers and barriers affecting the implementation of GSCP and associated performance benefits derived from GSCP implementation. Policymakers and practitioners could use the study findings to develop suitable policies/interventions so as to ensure that all firms irrespective of their size can contribute equitably towards improving the environmental sustainability of supply chains.

This study is arguably the first comprehensive attempt to understand how various environmental sustainability aspects in supply chains are perceived and performed by SMEs and large firms.

Curtailing the adverse environmental impacts of the construction sector is one the major challenges of the twenty-first century. However, despite the significance of this problem, the limited efforts so far to tackle the negative impacts associated with this particular sector have been largely fragmented and disjointed. Given that the net green outcome of a construction project is the sum total of the efforts undertaken at the various supply chain stages (from the initial design to the end-of-life demolition) by different stakeholders, the green supply chain management (GSCM) approach is seen as a way forward toward streamlining the fragmented efforts at greening the sector. This forms the motivation of the present work, and this paper aims to develop, validate and apply a multi-dimensional GSCM framework for the construction sector.

A comprehensive GSCM assessment framework consisting of nine constructs (external and internal drivers; external and internal barriers; core and facilitating GSCM practices; economic, environmental and organizational performance implications) and their underlying factors was developed through an extensive literature review. Using data collected through a structured questionnaire, the framework was validated, and the relevance/appropriateness of each construct and its underlying factors, along with the hypothesized relationships between the constructs, were assessed separately for each supply chain stakeholder.

The findings confirm the validity and reliability of the constructs and their underlying factors as well as the assessment framework. In general, the implementation of green practices has had a positive impact on the environmental, economic and organizational performance for all stakeholders, while the extent of the green practices implemented depends on the relative strength of the drivers and barriers.

This study fills a gap in the literature about applying/implementing GSCM in the construction sector.

The findings provide practitioners, policy makers and organizations associated with the UAE construction sector, as well as the construction sector in general, insight into all key aspects of GSCM.

A comprehensive survey-based assessment of GSCM for the construction sector has not been previously attempted and constitutes the novelty of this work.

Shukla et al. (2012) proposed a signature and index to detect and measure rogue seasonality in supply chains, but which, however, were not effectively validated. The authors have sought to investigate rogue seasonality using control theory and realistic multi echelon systems and rigorously validate these measures, so as to enable their application in practice. The paper aims to discuss these issues.

Frequency domain analysis of single echelon and simulated four echelon Beer game system outputs are used in the investigation, with the simulation incorporating realistic features such as non-linearities from backlogs and batching, hybrid make to order-make to stock ordering system and the shipment variable. Lead time, demand process parameters, ordering parameters and batch size are varied in the simulation to rigorously assess the validity of the index.

The signature based on the cluster profiles of variables, specifically whether the variables cluster together with or away from exogenous demand, was validated. However, a threshold for the proportion of variables that could be clustered with exogenous demand and the system still being classified as exhibiting rogue seasonality, would require to be specified. The index, which is derived by quantifying the cluster profile relationships, was found to be a valid and robust indicator of the intensity of rogue seasonality, and which did not need any adjustments of the kind discussed for the signature. The greater effectiveness of the frequency domain in comparison to time for deriving the signature and index was demonstrated.

This work enables speedy assessment of rogue seasonality in supply chains which in turn ensures appropriate and timely action to minimize its adverse consequences.

Detailed and specific investigation on rogue seasonality using control theory and Beer game simulation and rigorous validation of the signature and index using these methods.

This paper presents a citation-based systematic literature review in the field of sustainability management for Arab countries. The aim is to assist potential researchers in this field to identify existing themes, gaps and other relevant information necessary for the further development of the research area.

A comprehensive list of keywords has been searched in the SCOPUS database to identify all the relevant articles in the field of sustainability management in Arab countries. After applying the relevant restriction criteria, manual screening of titles, abstracts and keywords was performed to identify the final sample. The final sample consists of 410 articles published in 218 different journals by 907 authors. Bibliometrix R-tool was used to conduct a comprehensive bibliometric analysis of the selected articles.

Findings indicate a growing trend of publications on sustainability management in the generally understudied Middle East and North Africa (MENA) region. Besides publication trends, citation analysis presents citation trends, most influential journals and authors, and most cited articles on sustainability management in Arab countries. Theme identification is shown through analyses of conceptual and intellectual structures. Finally, social networks in the field are discussed.

Information presented in this paper informs interested researchers about the current state in the field, relevant sources of knowledge, important literature on the topic, relevant authors and other valuable particulars. This systematic literature review helps researchers make further valuable contributions to the field of sustainability management in Arab countries.

To the best of the authors' knowledge, this paper offers a first comprehensive citation-based systematic literature review on sustainability management in Arab countries.