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Tiwari G, Kumar RR, Raj A, Foropon CRH. Antecedents and consequents of circular economy adoption: A meta-Analytic Investigation. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 367:121912. [PMID: 39059311 DOI: 10.1016/j.jenvman.2024.121912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 07/13/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024]
Abstract
This paper aims to integrate and empirically assess the antecedents and consequents of circular economy (CE) adoption to remove ambiguity existing in the literature and clarify divergent views. This study uses meta-analysis methodology to validate the research framework, considering 106 empirical studies with 210 effect sizes. Based on these studies, we establish twelve antecedents and three consequents related to CE. Antecedents are categorized in a technological-organizational-environmental framework and consequents in the sustainability outcomes. The result suggests that organisational factors are more prominent in driving CE practices, followed by environmental and technological factors. In the organisational category, the three most influencing factors are managing product returns, green manufacturing, and environmental strategy. In the environmental category, coercive pressure is the most influential factor, followed by mimetic and social pressures. Emerging I4.0 technologies are the most prominent factor in the technological category. Our study suggests that CE helps to achieve sustainable performance by significantly enabling economic, environmental, and social outcomes. This study further analyses how contextual factors such as national culture (masculinity) and economic regions influence the various relationships with CE using subgroup analysis. The moderation results show that low masculine culture and developing economies are more effectively using the I4.0 technologies to drive CE adoption than high masculine culture and developed economies. Additionally, different dimensions of sustainability are also influenced by the variations in masculinity and economic regions.
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Affiliation(s)
- Gourav Tiwari
- Indian Institute of Management, Ranchi, Jharkhand, India.
| | - Rajeev Ranjan Kumar
- Operations Management, Indian Institute of Management, Ranchi, Jharkhand, India.
| | - Alok Raj
- Production, Operations & Decision Sciences, XLRI-Xavier School of Management, Jamshedpur, Jharkhand, India.
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Sankar M.S K, Gupta S, Luthra S, Kumar A, Jagtap S, Samadhiya A. Empowering sustainable manufacturing: Unleashing digital innovation in spool fabrication industries. Heliyon 2024; 10:e29994. [PMID: 38707321 PMCID: PMC11066646 DOI: 10.1016/j.heliyon.2024.e29994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 05/07/2024] Open
Abstract
In industrial landscapes, spool fabrication industries play a crucial role in the successful completion of numerous industrial projects by providing prefabricated modules. However, the implementation of digitalized sustainable practices in spool fabrication industries is progressing slowly and is still in its embryonic stage due to several challenges. To implement digitalized sustainable manufacturing (SM), digital technologies such as Internet of Things, Cloud computing, Big data analytics, Cyber-physical systems, Augmented reality, Virtual reality, and Machine learning are required in the context of sustainability. The scope of the present study entails prioritization of the enablers that promote the implementation of digitalized sustainable practices in spool fabrication industries using the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF-SWARA) method integrated with Triangular Fuzzy Bonferroni Mean (TFBM). The enablers are identified through a systematic literature review and are validated by a team of seven experts through a questionnaire survey. Then the finally identified enablers are analyzed by the IMF-SWARA and TFBM integrated approach. The results indicate that the most significant enablers are management support, leadership, governmental policies and regulations to implement digitalized SM. The study provides a comprehensive analysis of digital SM enablers in the spool fabrication industry and offers guidelines for the transformation of conventional systems into digitalized SM practices.
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Affiliation(s)
- Kiran Sankar M.S
- Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201313, India
| | - Sumit Gupta
- Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201313, India
| | - Sunil Luthra
- ATAL Cell, All India Council of Technical Education (AICTE), New Delhi, 110070, India
| | - Anil Kumar
- Guildhall School of Business and Law, London Metropolitan University, London, UK
- Department of Management Studies, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India
| | - Sandeep Jagtap
- Sustainable Manufacturing Systems Centre, School of Aerospace, Transport & Manufacturing, Cranfield University, Cranfield, MK43 0AL, UK
- Division of Engineering Logistics, Department of Mechanical Engineering Sciences, Faculty of Engineering, Ole Römers Väg 1, M-Building, Lund University, Lund, 22363, Sweden
| | - Ashutosh Samadhiya
- Jindal Global Business School, OP Jindal Global University, Sonipat, Haryana, 131001, India
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Almanza Junco CA, Pulido Ramirez MDP, Gaitán Angulo M, Gómez-Caicedo MI, Mercado Suárez ÁL. Factors for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of Colombia. Front Big Data 2023; 6:1156780. [PMID: 37091457 PMCID: PMC10116947 DOI: 10.3389/fdata.2023.1156780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/15/2023] [Indexed: 04/05/2023] Open
Abstract
In emerging economies, Big Data (BD) analytics has become increasingly popular, particularly regarding the opportunities and expected benefits. Such analyzes have identified that the production and consumption of goods and services, while unavoidable, have proven to be unsustainable and inefficient. For this reason, the concept of the circular economy (CE) has emerged strongly as a sustainable approach that contributes to the eco-efficient use of resources. However, to develop a circular economy in DB environments, it is necessary to understand what factors influence the intention to accept its implementation. The main objective of this research was to assess the influence of attitudes, subjective norms, and perceived behavioral norms on the intention to adopt CE in BD-mediated environments. The methodology is quantitative, cross-sectional with a descriptive correlational approach, based on the theory of planned behavior and a Partial Least Squares Structural Equation Model (PLS-SEM). A total of 413 Colombian service SMEs participated in the study. The results show that managers' attitudes, subjective norms, and perceived norms of behavior positively influence the intentions of organizations to implement CB best practices. Furthermore, most organizations have positive intentions toward CE and that these intentions positively influence the adoption of DB; however, the lack of government support and cultural barriers are perceived as the main limitation for its adoption. The research leads to the conclusion that BD helps business and government develop strategies to move toward CE, and that there is a clear positive will and intent toward a more restorative and sustainable corporate strategy.
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Affiliation(s)
| | | | - Mercedes Gaitán Angulo
- Escuela de Negocios, Universidad Carlemany, Sant Julià de Lòria, Andorra
- *Correspondence: Mercedes Gaitán Angulo
| | - Melva Inés Gómez-Caicedo
- Facultad de Ciencias Económicas, Administrativas y Contables, Fundación Universitaria Los Libertadores, Bogotá, Colombia
| | - Álvaro Luis Mercado Suárez
- Facultad de Ciencias Económicas, Administrativas y Contables, Fundación Universitaria Los Libertadores, Bogotá, Colombia
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Dohale V, Ambilkar P, Kumar A, Mangla SK, Bilolikar V. Analyzing the enablers of circular supply chain using Neutrosophic-ISM method: lessons from the Indian apparel industry. INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT 2023. [DOI: 10.1108/ijlm-03-2022-0141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Abstract
PurposeThis research identifies the enablers for implementing circular supply chains (CSCEs) and analyzes interrelationships between them to quantify their driving and dependence power to understand the critical CSCEs.Design/methodology/approachInitially, 10 CSCEs are identified for the Indian apparel industries through an extant literature review and validated using the Delphi method by seeking experts' opinions. The identified CSCEs are subjected to a novel neutrosophic interpretive structural modeling (N-ISM) method to capture the interrelationships between CSCEs and compute the driving and dependence power of CSCEs.FindingsThe findings of the present research work revealed that “supportive legislative framework, awareness of circular economy's potential for revenue gain and availability of trained research and development (R&D) team” are the critical CSCEs that need to be considered while implementing a circular supply chain in apparel industries.Research limitations/implicationsThis study offers insightful implications to guide practitioners in implementing the circular economy in apparel supply chains.Originality/valueThis research work is one of the earlier studies to analyze the enablers for implementing circular supply chains. This study has explored CSCEs in the context of apparel industries. From a methodological perspective, the novel N-ISM method is worth highlighting as the originality of the work.
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