Business failure is an important issue for companies in the 21st century, and green business is of global concern. Therefore, it is of vital importance to reveal the critical factors that could lead ...to green business failure. Nevertheless, existing research has not fully addressed this yet. This study adopts the company life cycle theory to identify such critical factors. The Decision Making Trial and Evaluation Laboratory (DEMATEL) method is applied to convert the expert opinion into quantifiable data, and grey relational analysis is used to take the imprecise information into account in order to improve the validity of the results. Research frameworks constructed from company life cycle is able to reflect the critical factors that lead to green business failure at different development phases. Meanwhile, the adoption of Grey DEMATEL improves the accuracy of assessment, and the result of assessment provides feasible and practical suggestions for decision-making.
While most of the circular economy (CE) research is engrossed in larger organizations and developed countries, there is hardly any research exploring the readiness of small- and medium-sized ...enterprises (SMEs) in developing countries toward the implementation of CE practices. To fill this knowledge gap, in this article, we aim to identify and evaluate the key readiness factors (RFs) that are vital for CE implementation. Initially, 15 important RFs are identified via an extensive literature review and experts' consultation, which are prioritized using the Decision-Making Trial and Evaluation Laboratory method. The proposed framework is validated with a real-world case study involving four India-based SMEs. The results reveal that " willingness of top management to implement CE practices" is the most important RF. Six RFs are classified as causal: " availing financial assistance from government and external agencies," "introducing new technology and its compatibility with existing technology," "willingness of top management to implement CE practices," "investment in infrastructural development," "pressures from competitors, business partners, and regulatory bodies to implement CE practices," and "awareness among the customers about CE benefits." The findings of this research may help managers assess CE readiness and prepare business strategies for effective implementation of CE practices.
Determining solar power initiatives and developments for a country as large as India is difficult due to the involvement of different enablers. The decisions of these enablers will influence the ...formulation of strategies to encourage solar power development in India. The present research work critically analyzes Indian solar power developments to recognize and to evaluate key enablers that will encourage greater usage in India׳s current scenario. A literature review that explores the Indian solar power sector is included, with a focus on need potential, and an examination of the key enablers. This work identifies sixteen solar power enablers based on relevant literature and experts׳ inputs. To evaluate and to categorize the recognized solar power development key enablers, a fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) based methodology is utilized. The fuzzy DEMATEL approach is useful in dealing with the inherent ambiguity involved in studying interrelationships among the evaluated enablers. Research findings suggest that Initiatives taken at the state level (E7) and Power sector reforms (E12) have significant influence in adopting and encouraging India׳s solar power development. In this research, the enablers׳ causal relationships and their interactions are examined, and the findings are useful to encourage solar power development initiatives and decisions. This work will help policymakers formulate decisions to initiate and encourage solar power developments in India.
Building information modelling (BIM) technology exhibits strong potential to become the core technology used in the construction industry. However, the process of implementing new technology involves ...numerous challenges, and the performance of new technology can be impaired when unidentified risk factors are present during implementation. A complete understanding of the risk factors can enable BIM users to execute early responses to the potential risks, thus increasing the possibility that BIM is implemented successfully.
In this study, 13 risk factors related to the technical, management, personnel, financial, and legal aspects of BIM adoption were identified. Based on the results of a questionnaire survey distributed to architects, engineering consultants, academics, and construction companies in the architecture, engineering, and construction industry in Taiwan, relationships between risk factors were identified using the decision-making trial and evaluation laboratory method. This study identified the critical risk factors of BIM projects at various levels and proposes relative risk-response strategies for a case study project.
•13 risk factors of BIM projects were surveyed and identified.•The critical risk factors were identified at industry, market and organisation level.•A case study and the risk-response strategies were proposed.
•This study aims to imply a data-driven analysis for sustainable supply chain management.•A hybrid methods are adopted due to the uncertainty and complexity.•Big-data, closed-loop supply chain, ...industry 4.0, policy, remanufacturing, supply chain network design are the indicators for trends and challenges.•Latin America and Caribbean, and Africa shows for improvement by distinct apprehensions on eco-efficiency and risk management.
This study proposes a data-driven analysis that describes the overall situation and reveals the factors hindering improvement in the sustainable supply chain management field. The literature has presented a summary of the evolution of sustainable supply chain management across attributes. Prior studies have evaluated different parts of the supply chain as independent entities. An integrated systematic assessment is absent in the extant literature and makes it necessary to identify potential opportunities for research direction. A hybrid of data-driven analysis, the fuzzy Delphi method, the entropy weight method and fuzzy decision-making trial and evaluation laboratory is adopted to address uncertainty and complexity. This study contributes to locating the boundary of fundamental knowledge to advance future research and support practical execution. Valuable direction is provided by reviewing the existing literature to identify the critical indicators that need further examination. The results show that big data, closed-loop supply chains, industry 4.0, policy, remanufacturing, and supply chain network design are the most important indicators of future trends and disputes. The challenges and gaps among different geographical regions is offered that provides both a local viewpoint and a state-of-the-art advanced sustainable supply chain management assessment.
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The sustainable development goals (SDGs) are presented as significantly interacted. Yet most studies only investigated the direct interactions of SDG targets, and indirect interactions, that is, the ...interlinkages transmitted through one or more mediums, should also be considered to obtain more accurate interaction estimation and more scientific policy decisions. We first made a methodological contribution by proposing a plus‐minus decision‐making trial and evaluation laboratory model, which can consider not only the direct synergies and trade‐offs but the indirect ones. Then, based on this proposed method, we navigated the complicated network across the SDGs considering both direct and indirect interactions, find out the key interactive ones with a visually directed graph, obtain the weights of each SDG, and define the best governance structures to capitalize on synergies and minimize trade‐offs. Results show that, when incorporating indirect interactions, the share of synergy effect of SDGs dominates the total influence, taking up to 98.33%, suggesting that the achievement of the 2030 Agenda can be facilitated through interactions. Although all SDGs should be equally addressed by 2030 suggested by the United Nations, equal importance across 17 SDGs does not mean we have to make the same efforts in achieving each SDG, and SDG 4 and SDG 13 are the top priority to tap into these interaction potentials. Our interdisciplinary analysis across economic growth, social inclusion, and environmental protection provides a science‐driven reference for all UN member states to facilitate achieving the SDGs by maximizing the synergies and minimizing the trade‐offs.
Automotive industries have attracted attention from international sectors recently. This attention to the industry results in many innovative technologies being integrated in these manufacturing ...arenas. In developing countries such as the BRIC (Brazil, Russia, India, and China) countries, especially China who is a global leader in automotive sales and production, researchers see substantial attempts to increase economic and societal values in automotive sectors through the use of many sustainable strategies. Among these sustainable strategies, remanufacturing has witnessed much debate in recent years. In China, automotive parts remanufacturing is still in a nascent stage, but the country is striving hard to implement a strategy in industries to result in cleaner production. Additionally, remanufacturing yields high financial, societal, and environmental returns, and it provides advantages such as reducing costs (compared to virgin products), an increase in jobs, and the conservation of scare resources. Some earlier studies examined Chinese remanufacturing issues but they only focused on modeling concepts, without considering significant barriers. To bridge this gap, this paper analyzes internal barriers met by automotive parts remanufacturers and evaluates causal barriers by a proposed model framework. This objective is illustrated by employing the Grey Decision Making Trial and Evaluation Laboratory (DEMATEL) approach. By virtue of these findings, remanufacturers can eradicate major internal barriers and can increase the chances of practicing more productive remanufacturing in the Chinese automotive environments. This study extends the scope of this problem through varied applications of different techniques such as a fuzzy approach, matrix laboratory, and operations research tools by diversifying and including additional barriers.
Stakeholder pressure, from actors including regulators, consumers and non-governmental organizations, has made organizations more responsible for poor environmental performance of their direct and ...sub-suppliers. Thus, green multi-tier supplier management (GMSM) has become an emergent topic. Yet it is still unclear how to enable GMSM practices effectively, i.e. how to enable sub-suppliers' environmental performance improvement. To help address the gap in the literature, this paper aims to identify enablers for sub-suppliers' environmental performance improvement, and it further applies a Decision-Making Trial and Evaluation Laboratory (DEMATEL)-based case study method to evaluate inter-relationships among these enablers and improve the focal company's GMSM practices, by using action research (AR) method principles. The data analysis and discussion with a follow-up evaluation after two years provided insights for the successful implementation of GMSM. The results show that top managers’ support from the organizations is a prominent and necessary foundational enabler. An interesting observation is that close proximity of supply chain members is regarded as a very prominent enabler. Evaluation and feedback on these enablers two years later found that the enabler mapping was beneficial, allowing them to address the most influential enablers, and thus the GMSM practices of the focal company has been highly improved. This paper concludes with directions for further research.
•Enablers for green multi-tier supply chain management (GMSCM) are identified.•Cause and effect relationships among the enablers are evaluated.•Top management support is a prominent and necessary foundational enabler.•Close proximity of supply chain members is an important enabler for GMSCM.•Field study shows enabler mapping benefits GMSCM implementation two years later.
Rapid market changes aimed at sustainability have led to supply chain risks and uncertainties in the Taiwanese light-emitting diode industry. These risks and uncertainties can be captured by social ...media, quantitative and qualitative data (referred to herein as big data), but the industry has been unable to manage this information boom to respond to customer needs. These various types of data have their own characteristics that affect decision making about developing firm capabilities. This study aggregates the various data to undertake an extensive investigation of supply chain risks and uncertainties. Specifically, this study proposes using the fuzzy and grey Delphi methods to identify a set of reliable attributes and, based on these attributes, transforming big data to a manageable scale to consider their impacts. Subsequently, both the fuzzy and grey Decision Making Trial and Evaluation Laboratories applied to determine the causal relationships for supply chain risks and uncertainties. The results reveal that capacity and operations have greater influence than other supply chain attributes and that risks stemming from triggering events are difficult to diagnose and control. The implications, conclusions and findings are addressed.
Incorporation of smart devices within the older framework has brought along significant challenges. This paper presents a detailed analysis of the barriers faced during the implementation of Internet ...of Things (IoT) within the manufacturing sector. In addition, the authors aim to obtain a hierarchical structure, which will help the policymakers to identify the most crucial barriers enabling them to make an informed decision. With the help of databases like Scopus, Web of Science, etc. a comprehensive list of 22 barriers was initially obtained. This list was further narrowed down to 10 critical barriers. The first step of the analysis involved the application of Decision Making Trial and Evaluation Laboratory (DEMATEL) technique, which quantifies the influence of the barriers amongst one another. Maximum Mean De-Entropy (MMDE) technique is then used to obtain a scientific threshold value, which is later used in the Interpretive Structural Modelling (ISM) technique from which a hierarchical structure of the barriers is obtained. The results of this study are expected to highlight the most crucial barriers wherein the researchers and practitioners can focus their strategic efforts. This will facilitate the addressal of implicit issues while implementing IoT Techniques in the manufacturing industry.
