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This paper aims to address the conceptual and practical challenges in integrating triple bottom line (TBL) sustainability in the agriculture supply chain (ASC). It identifies the key enablers for each of the three dimensions of TBL sustainability, analyses their causal relationships as well as cross-dimensional interactions under each TBL dimension. Further, it develops a decision support framework (DSF) for the assessment of TBL sustainability practices and policies in ASC and validates it through a case study.

An interpretive structure modelling (ISM) methodology is deployed to establish the interrelationships among all TBL enablers and to identify the enablers with high driving power on sustainable ASC. Brainstorming by a group of experts was used to identify the relevant enables. Finally, a DSF was developed as a resultant of ISM.

The paper provides a set of enablers with high driving power that can significantly influence the sustainability practices and policies in ASC. The social enablers directly help to enhance the effect of economic enablers and collectively these enhance the effect of environmental enablers. If agriculture firms and supply chains design innovative policies and develop practices based on these enablers, they can achieve sustainable ASC. Consequently, the living standards of the people directly or indirectly associated with the agriculture firm or supply chain can be improved without compromising on economic performance.

The paper consolidates the fragmented knowledge of sustainable supply chain management in the agriculture sector and suggests a DSF to policymakers, managers and practitioners for assessing TBL sustainability practices and policies. The DSF has wide applicability in other sectors of production and operations management as these sectors also face the challenge of achieving TBL sustainability across their supply chain.

The DSF, developed in the paper, is a useful tool for practitioners to frame and analyse sustainability initiatives and policies for ASC. A firm or supply chain may achieve TBL sustainability if it succeeds in uplifting the social status of its stakeholders.

It is a first step towards addressing the practical challenge of integrating sustainability in the agriculture sector of emerging economies and provides a path to improve the livelihood of people in the agriculture sector. Stakeholder engagement with a focus on collaboration and awareness may lead to the desired social and environmental consequences. Potential adverse social effects also need to be considered.

This paper focusses on the so far rather neglected but essential aspect of integrating TBL sustainability in the agriculture sector of emerging economies. The hierarchal representation and classification of the TBL sustainability enablers of sustainability is a unique effort in the field of ASC. Development of DSF is one of the first attempts to create a mapping between various enablers of TBL sustainability. The novelty of the study lies in the sector-specific, holistic evaluation of TBL sustainability policy measures that may lead to improvements in practice.

The purpose of this paper is to identify factors which influence participation of developing countries in the global value chains (GVC) and to present a mathematical modeling technique to calculate a “National Participation Index of a developing country in the GVC” (hereinafter referred to as G-NPI).

The paper identifies 17 factors, encompassing both country-specific and firm-specific considerations that influence a developing countries’ participation in the GVCs. These factors have been grouped into four sets of enablers, namely, macroeconomic, geo-economic, strategic and geopolitical. The national participation index (G-NPI) has been calculated using the graph theoretic modeling approach.

Besides identifying the factors of a developing country’s participation in the GVC and grouping them as enablers, the paper considers the case of India as an example and assesses the level of interactions within (i.e. among various factors of a given enabler) and among these enablers (leading to a G-NPI value) using graph theory.

The findings can be used to calculate G-NPI for different countries to ascertain their potential for participation and also to find the factors(s) which may be deterring their participation in the GVCs.

This paper can help in policy advocacy to enhance the competitiveness of developing countries and consequently to improve the life of their consumers.

This paper introduces the concept of G-NPI and presents a unique way of assessing a developing country’s participation in the GVCs through a mathematical modeling approach.

The purpose of this paper is to understand the relation among the various enablers of Clean Development Mechanism (CDM) to know their degree of dependence and driving power. As there has been non-agreement among the various stakeholders regarding the benefits of sustainability brought about by CDM, this paper explores the viability of sustainable development in the Indian scenario.

This paper discusses a model to address the issues of sustainable development in the context of CDM. An interpretive structural model (ISM) has been used to model the various parameters of sustainable development in the Indian context. The relevant parameters have been considered as per the existing literature review.

The result shows that sustainable development is achievable if the nation emphasizes on strategic goals and mission because sustainable development is driven by the strategic parameters such as “employment creation” and “long-term economic goals”.

The ISM model developed is not statistically validated, therefore structural equation modeling (SEM), also commonly known as the linear structural relationship approach, may be used to test the validity of such a hypothetical model.

The government of India has to emphasize on education and inclusive employment to improve the quality of life, which would enable the sustainable development to be achieved.

This paper describes one of the few empirical studies conducted in India.

The aim of this study was to identify these enablers in literature and subsume them under broad categories for the development of a framework showing the interrelationships among the enablers.

Fifty-four (54) relevant articles were desk reviewed from different construction peer-reviewed journals and published conference proceedings to identify 20 core enablers of incorporating indoor environmental quality (IEQ) into building designs.

The identified enablers include improved occupants' health, well-being and satisfaction, environmental conservation, high return on investments and co-operative methods of design and construction management among others. To better understand the enablers identified, they were classified into seven main interconnected categories: economic enablers, environmental enablers, occupant and end-user enablers, process enablers, corporate image, culture and vision enablers, client-related enablers and external enablers.

The interconnectedness brought to the fore a subtler appreciation of the drivers of IEQ, which could help expand current knowledge outside the narrow scope of isolated drivers. The fact that the papers selected in this study are not limited geographically underscores the wide applicability of the findings to the global construction industry.

Understanding that the enablers will enhance the adoption and design of quality indoor environments, help in building the capacity of consultants to adopt the design of quality IEs and reduce the impact of construction on the environment.

These identified enablers are not limited geographically and thus could promote the design of quality indoor environments globally, particularly in green building design. To the global construction community, this review presents a list of enablers that would expedite the adoption of principles of IEQ designs in buildings thus taking the global construction industry one more step towards sustainable built forms. Promoting the identified enablers would ultimately steer stakeholders to design and build better indoor environments.

The fact that the papers selected in this study are not limited geographically underscores the wide applicability of the findings to the global construction industry.

The purpose of this study is to identify important criteria for sustainable recovery of digital entrepreneurship from distress situation using shared resources. During pandemic disruption, the importance of sharing economy in managing business efficiency is reflected through this research.

The present study advances the knowledge on shared resources in business by integrating case study approach with multi criteria decision-making (MCDM) model. A fuzzy analytic hierarchy process approach is adopted to compute criteria weights, and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) technique is used to rank the sharing economy entrepreneurial ventures during COVID-19 pandemic in the context of emerging economy.

The present study identified five most important enablers (technological innovation, technology expertise, convergence of virtual and physical spaces, collaboration rather than competition, and benefits to underserved groups through transparency) for sustainable recovery of sharing economy ventures in emerging economy. For example, the study highlights online tutoring through shared intellect as the most sought after sharing economy venture during pandemic disruption, which fulfills the identified enablers.

The proposed framework provides an accurate decision support tool to rank the various identified potential enablers of sharing economy during disruptions. Further, the approach is practically relevant to sharing economy entrepreneurs in selecting the best approach to recover sustainability during pandemic.

The study is unique in addressing the need of sustainability for digital ventures via sharing economy approach in emerging economy (India). To develop a conceptual framework, the present study incorporates a case based approach together with the hybrid MCDM model. Further, the extant literature on disruptions is enhanced by prioritizing the enablers for sharing economy during pandemic.

Humanitarian supply chains (HSCs) by their very nature require urgent reaction to unforeseeable needs, making it difficult to properly plan for the support of actual demands. As such, integrating sustainability into traditional HSC practices continues to present a challenge to governments, nongovernmental organizations (NGOs) and other humanitarian-related agencies. This study focuses on identifying and categorizing the leading enablers to green humanitarian supply chains (GHSCs) and proposes a model for improving the responsiveness based upon a fuzzy total interpretive structural modelling approach.

Total interpretive structural modelling (TISM) uses group decision-making to identify contextual relationships among each pair of enablers and elucidates the nature of each underlying relationship. The fuzzy TISM shows the level of strength (very high influence, high influence, low influence and very low influence) of each enabler in relation to other enablers, which can help to inform management decision-making.

GHSC management requires strategic planning of inventory and logistics management. The importance of collaborative relationship building with HSC partners for developing capability and the effective use of available resources are keys to success. These improved relationships also help to promote postponement and similar speculation-based logistics strategies, as well as advanced purchasing and pre-positioning strategies. Finally, the speed and quality of response is found to be the top enabler in GHSC management.

One noted shortcoming of the chosen research method is its reliance on subjective expert judgement. However, collecting judgements is at the basis of many research methods, and the research team took utmost care throughout the research process to allay biases. Future empirical research can further examine the relationships suggested herein. Managers can use the model developed in this research to consider impactful ways to design and execute sustainable HSCs.

To the best of the authors' knowledge, this is a novel attempt to identify enablers to GHSC management. Secondly, the research team has used an advanced methodology (fuzzy TISM) to develop the contextual inter-relationships among the enablers which has not been used earlier in this direction before and thus advances the GHSC literature.

To assess the impact of China's WTO commitments on foreign investment flows, domestic regulation and industry performance in the telecommunications services sector.

Situates GATS disciplines in telecommunications in their historical context, then reviews China's specific commitments, and finally reviews available data on developments in China since accession.

China's commitments on market access and national treatment in telecommunications services are rather modest, and China is lagging in the implementation of regulatory disciplines. Nevertheless, China has gone a long distance toward a complete transformation of the telecommunications sector with little outside influence and no outside ownership or control. It is mainly because the prospect of joining the WTO and opening to the world galvanized government and industry into action. The overall thrust of those actions, however, has been to ensure that telecommunications plays its full role as a strategic economic sector and helps deliver economic benefits to the Chinese people in order to legitimize Communist Party leadership.

Up‐to‐date and coherent data on industry performance (e.g. penetration rates, productivity increases, etc.) are lacking.

Very useful background and analysis relating to: relationship between, on the one hand, international trade commitments and, on the other hand, domestic reforms and industry performance; and on‐going issues in China's efforts to implement its WTO obligations and to create a statutory, regulatory and institutional framework supportive of continued growth of the telecommunications sector in China.

Responds to an identified information need with information and analysis of practical value.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

The transportation sector is frequently criticized for its adverse environmental impacts. Industrial managers and decision-makers in the transportation sector have difficulty embracing sustainable transportation. Taking this difficulty into consideration, this study intends to locate and evaluate the enablers of sustainable transportation.

Using the Pareto analysis, the study finalized 20 enablers from the list of 25 enablers. The finalized enablers are prioritized, and their causal inter-relationships are revealed using the grey-decision-making trial and evaluation laboratory (grey-DEMATEL) method. A sensitivity analysis is performed to determine the influence of experts' weight in the final results.

Findings reveal enhancement of cross-departmental cooperation, decision synchronization, technology cooperation, policy cooperation and route optimization as the five most critical enablers of sustainable transportation. Based on the results, the study proposes some policy implications for the decision-makers to proactively incorporate sustainability concepts.

This paper is the first of its kind to evaluate the enablers of sustainable transportation in the Indian leather industry. This paper proposes a comprehensive list of enablers of sustainable transportation and reveals their causal interrelationships using grey-DEMATEL. The weight of the provided enablers will help the industrial managers to more proactively take sequential actions to incorporate sustainable transportation.

The modern business community understands the importance of long-term satisfaction of consumer. Enabling the consumer to return products is a significant part of the equation. The purpose of this paper is to analyze the sustainable boundaries in terms of their relationship toward greening a supply chain.

Using interpretive structural modeling the research presents a hierarchy-based model to realize the driving power and dependence of sustainable boundary enablers.

The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance while another group consists of those variables which have high dependence and are the resultant actions.

This classification provides a useful tool to supply chain managers to differentiate between independent and dependent variables and their mutual relationships which would help them to focus while making strategic, tactical or operational decisions as and when required while designing a green supply chain.

This research assumes importance in context of greening a supply chain when globally enterprises are getting a lot of pressure from consumers as well as the regulatory measures from the government. Sustainability demands that the resources be used in lean manner through information coordination with all partners in a supply chain. The findings of this study would help delineate those variables that should to be necessarily considered to design a sustainable supply chain.