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This paper aims to develop frameworks to support implementation and competitive leveraging of distinct sustainable supply chain operations. This derives from conceptual definition of the dynamic capabilities required to support Hart’s (1995) natural-resource-based view resources in the supply chain.

This conceptual study uses qualitative content analysis to extract capabilities from review and analysis of literature related to natural-resource-based view (NRBV) and sustainable supply chain management. Intercoder reliability assessments support conceptual development of such capabilities into dynamic capability frameworks.

Specific interrelations between each NRBV resource and corresponding supply chain strategies are conceptualised. From this, capabilities are categorised to corresponding resources, dynamic capabilities activities and internal–external focus. This results in definition of 107 dynamic NRBV capabilities.

Contributions are threefold: distinct frameworks for competitive sustainable supply chain management is offered; the NRBV benefits from enhanced practical guidance via the definition of its dynamic capabilities, addressing the theory-practice gap; and understandings of dynamic capabilities and their role in both the NRBV sustainable supply chain management is advanced.

This paper offers four frameworks to allow firms to tailor sustainability strategies to suit their needs and guide competitive leveraging. Definition of capabilities offers practical guidance to operationalise NRBV resources.

This is the first holistic interpretation of NRBV capabilities and explicit application of dynamic capabilities. This forms the basis of a broader research agenda for the NRBV in sustainable supply chain management.

The purpose of this paper is to review the green manufacturing and similar frameworks in order to trace the origin, definitions, scope, similarities, differences, and publications of these manufacturing frameworks.

A review of 113 research articles is conducted for various terms, namely, green manufacturing (GM); environmentally conscious manufacturing; environmentally responsible manufacturing; environmentally benign manufacturing; sustainable manufacturing; clean manufacturing; cleaner production; sustainable production with reference to triple bottom line, product life cycle engineering, systems approach, resource and energy efficiency, supply chain, pollution prevention and closed loop system/6R.

It can be said with reasonable confidence that all these eight frameworks have been used interchangeably by researchers but it requires some standardization. It has been observed during literature review that to standardize the terminology researchers have to clear emphatically in their research the use of various life cycle engineering approach; clarity on the end-of-life strategies used; clarity in use of various components of triple bottom line perspectives; inclusion of the whole supply chain and integration of environmental improvement strategies with the business strategy.

The literature reviewed for the study is the literature available online using Google scholar.

This is one of the first known studies to review the GM and similar frameworks for their origin, definition, scope, similarities, and differences.

This study aims to assess the response of the Association of Southeast Asian Nations (ASEAN) to cleaner production and environmental sustainability, with a specific focus on identifying the leading countries and research networks driving these efforts.

A benchmarking academic journal was chosen, and the journal’s archive was comprehensively examined. To construct the data set, a conventional keyword search technique was applied in February 2023 to filter for ASEAN affiliations. The study used hybrid bibliometric analyses and multi-criteria decision analysis (MCDA) to analyze the collected data and address the research purpose.

The data analysis revealed a rising research trend, particularly after 2014. Malaysia had the most publications, followed by Thailand and Singapore, and their publications had the most cumulative citations among ASEAN countries. Research collaborations between Malaysia, Thailand and Singapore were frequent, but participation from other countries was low. The research topics on which ASEAN members focused were also identified, but it became apparent that there was little coordination. A scant few collaborations involving more than two countries were observed; thus, the MCDA analysis concluded that research leadership was absent in ASEAN countries.

This study contributes insights to the existing literature and offers a valuable overview of the research direction and collaboration status of cleaner production and environmental sustainability in the ASEAN region, thus benefiting policymakers. Additionally, this study introduces a novel approach combining bibliometrics analysis with MCDA to assess research collaboration, thus providing a novel methodology for future research policy evaluations.

The study aims to map the links between Industry 4.0 (I-4.0) technologies and circular economy (CE) for sustainable operations and their role to achieving the selected number of sustainable development goals (SDGs).

The study adopts a systematic literature review method to identify 76 primary studies that were published between January 2010 and December 2020. The authors synthesized the existing literature using Scopus database to investigate I-4.0 technologies and CE to select SDGs.

The findings of the study bridge the gap in the literature at the intersection between I-4.0 and sustainable operations in line with the regenerate, share, optimize, loop, virtualize and exchange (ReSOLVE) framework leading to CE practices. Further, the study also depicts the CE practices leading to the select SDGs (“SDG 6: Clean Water and Sanitation,” “SDG 7: Affordable and Clean Energy,” “SDG 9: Industry, Innovation and Infrastructure,” “SDG 12: Responsible Consumption and Production” and “SDG 13: Climate Action”). The study proposes a conceptual framework based on the linkages above, which can help organizations to realign their management practices, thereby achieving specific SDGs.

The originality of the study is substantiated by a unique I-4.0-sustainable operations-CE-SDGs (ISOCES) framework that integrates I-4.0 and CE for sustainable development. The framework is unique, as it is based on an in-depth and systematic review of the literature that maps the links between I-4.0, CE and sustainability.

The purpose of this paper is to give a good overview of the relationship between industrial growth and industrial pollution in Turkey. The question is to what extent dirty industries have been affected by the regulations on the control of environmental degradation.

The approach for this study uses all regulations which serve for protecting human and its environment from danger arising from dirty industries in Turkey. After presenting brief explanations on green industry, next sessions explain and compare the situations of the Turkish dirty industries and its relationship with related regulations in the European Union (EU).

The authors offer three solutions. First, clean consumption should be stimulated in Turkish society. Second, Turkish Government should conduct more joint projects with the EU. Third, EU funds should be directed to cleaner production technologies to subsidize dirty industries during the negotiation process.

Green industry can be assessed as a steep road to build a sustainable future. For a long time, the unsustainability of current forms of industrial production has been discussed in Turkey. As a solution some argue that if governments support, industries can finance their own transformation more rapidly. However, these arguments do not mean that industries voluntarily accept these changes.

From a technological determinist perspective, machine learning (ML) may significantly contribute towards sustainable development. The purpose of this study is to synthesize prior literature on the role of ML in promoting sustainability and to encourage future inquiries.

This study conducts a systematic review of 110 papers that demonstrate the utilization of ML in the context of sustainable development.

ML techniques may play a vital role in enabling sustainable development by leveraging data to uncover patterns and facilitate the prediction of various variables, thereby aiding in decision-making processes. Through the synthesis of findings from prior research, it is evident that ML may help in achieving many of the United Nations’ sustainable development goals.

This study represents one of the initial investigations that conducted a comprehensive examination of the literature concerning ML’s contribution to sustainability. The analysis revealed that the research domain is still in its early stages, indicating a need for further exploration.

This study aims to identify the key factors that influence the successful implementation of clean energy interventions in low‐income urban communities in South Africa.

The study took the form of three phases: an explorative, primary data‐gathering process through semi‐structured interviews where secondary data were made available by respondents in the form of official project reports; data analysis of the primary qualitative, explorative, semi‐structured interview data and the secondary documentary data obtained with consent; and identifying and describing the key factors which influence the implementation of clean energy interventions in low income‐urban communities.

The results indicated that although many important factors were identified throughout this research, the ultimate success of the implementation of clean energy interventions in these communities lies not only in the clean energy interventions themselves, but rather hinges on nine key factors: project planning and development; community participation; community employment; political buy‐in; communication and engagement; beneficiary criteria; installation and maintenance; project management; and technology and suppliers.

The findings from this study provide useful insights to all stakeholders involved in the development and implementation of clean energy interventions in low‐income urban communities.

In less than a decade to sustainable development goals (SDGs) there is a threat of household waste emanating from sub-urban sprawl especially in developing countries. Private approaches with government-enabling environments have been proved a successful platform for urban services such as housing provision and telecommunication in developing cities. Still private solid waste management (PSWM) seems different in Nigeria. Therefore, this paper aims to investigate the possible perceived hindrances facing PSWM organisations and proffer feasible policies to enhance sustainable clean and healthy cities.

Seven communities within Benin City sub-urban environs were adopted as the study area to accomplish the research’s objectives via a phenomenology type of qualitative research design. The study analysed the collated data from the knowledgeable participants via a thematic approach.

Lax legislative, absence of institutional framework, inadequate economic motivation, inadequate technical operations, among others, emerged as the encumbrances faced by PSWM firms. Wastes dumped along unethical locations such as streets, roads, uncompleted buildings, culverts and drainage channels, and undeveloped plots emerged as the encumbrance outcomes. Findings show that proffering feasible policy solutions to tackle identified hindrances can promote the achievement of SDGs across semi-urban locations in Nigeria.

This research is restricted to urban household waste management by PSWM within Nigeria. Also, the study identified the challenges and proffer policy solutions to enhance improved clean environment within the sub-urban and urban cities.

As part of this study’s implications, results from this research intend to guide government policymakers and PSWM firms to encourage collaboration in designing appropriate strategic and educational programmes for the householders (customers) in sub-cities. It will be achieved via feasible policies that are tailored towards achieving sustainable health and environment-friendly sub-urban locations.

This paper intends to enhance proper PSWM and create sustainable cities via collaboration. Also, the paper engaged key stakeholders via a qualitative research design to proffer possible solutions to the menace of sub-urban and urban household waste management.

The purpose of this paper is to present the comparison of sustainability characteristics of conventional and computer numerical control (CNC) turning process. The sustainability performance measures of both the processes were also being evaluated.

The study discusses the achievement of sustainability characteristics at the manufacturing process level of widely used industrial process, mechanical machining. Sustainable development includes improvements in material, product design and manufacturing process orientations. The present study narrates the sustainability characteristics at the process level.

The results confirm that the overall sustainability characteristics of CNC machining are potentially high considering the economic and environmental aspects of the machining parameters. A detailed life cycle analysis for both conventional and CNC turning was performed to evaluate the environmental impact and benefits.

The study contributed in the paper is limited to process dimension of sustainability. The economic and environmental aspects of machining were also being discussed.

The conduct of the study enabled the comparison of sustainability characteristics of conventional and CNC-turning processes. The approach could also be expanded for the comparison of sustainability characteristics of other manufacturing processes also.

The study is an attempt to explore the process sustainability by the comparison of environmental impact of making processes. Hence, the contributions are original.

Earlier most of the research groups have designed and developed hybrid renewable energy system models with technological, scientific and industrial advancement for the energy systems, but slight attention has been paid towards the grid-connected sustainable urban residential energy systems (SUR_eS) for metropolitan cities. The current research wishes to design, model and analyze grid-connected energy system for residential applications for sustainable urban residential energy system. The works aims to explore the potential of the augmented energy system for grid-connected energy system.

The proposed grid-connected SUR_eS are validated for a sample location at New Delhi (India) with a hybrid optimization model for electric renewable (HOMER) software to define and understand the various load profile. It presents the sensitivity analysis approach to validate the design of the proposed energy system.

The obtained results reports the key barriers, proposed model and scenarios for sustainable urban energy system development.

Similar approaches can be replicated to design and develop an independent, self-sustainable cleaner and environmental-friendly energy system in the future scenario for the extension of complex grid infrastructures.

It will assist the stakeholder in solving the complex urban sustainability issues raised due to the shortage of energy.

It will offer a clean and environment friendly sustainable energy resources with reduced carbon emissions. It will benefit sustainable energy resources with a mix of challenges and opportunities, to suggest an approach for implementation of efficient energy policies to optimize the existing and forthcoming energy systems.

The current research offers a design and model to analyze grid-connected energy system sustainable urban residential applications. It explores the potential of the augmented energy system. The proposed model are validated for a sample location with HOMER simulation software to define and understand various scenarios of the multiple load profile. The work presents the sensitivity analysis approach to validate the proposed energy system.