Unlocking Net Zero Supply Chain Performance System Through Life Cycle Assessment: Empirical Evidence from Rubber Industry DOI
Alok Yadav, Anish Sachdeva, Rajiv Kumar Garg

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Review of enablers and barriers of sustainable business practices in SMEs DOI Creative Commons

Shoaib Abdul Basit,

Behrooz Gharleghi,

Khadija Batool

и другие.

Journal of Economy and Technology, Год журнала: 2024, Номер 2, С. 79 - 94

Опубликована: Март 31, 2024

There are many factors that persuade or discourage business owners managers of small and medium-sized firms to adopt sustainable policies. It is important understand how different interlinked influence the owners'/managers' decisions for sustainability. Therefore, gap between policies their implementation in workplace causes failure adoption practices. To provide a clear picture, present study intends investigate might foster/hinder The provides systematic literature review on from 2015 2023. We consider what key supporting obstructing successful sustainability framework practices SMEs. Our findings reveal data-centered solutions, sensor aided cyber physical systems, green consumption, vendor support, technological roadmap, gain legitimacy use data analytics, acceleration digital transformation most significant enablers In addition, cloud enterprise resource planning found be enabler developing countries. barriers mainly related implantation enablers. Among those major security storage, lack trust, top management resistance change new technology, skilled workforce, breaches, poor network security. have policy implications practitioners makers.

Язык: Английский

Процитировано

17

Achieving Net-Zero in the Manufacturing Supply Chain through Carbon Capture and LCA: A Comprehensive Framework with BWM-Fuzzy DEMATEL DOI Open Access
Alok Yadav, Anish Sachdeva, Rajiv Kumar Garg

и другие.

Sustainability, Год журнала: 2024, Номер 16(16), С. 6972 - 6972

Опубликована: Авг. 14, 2024

Nowadays, industries across the globe are acknowledging need for a Net Zero Supply Chain (NZSC) by 2050, particularly within Manufacturing (MSC) due to its significant contribution Greenhouse Gas (GHG) emissions. Government and regulatory bodies pressure industry reduce GHG Industries focus on cleaner sustainable production adopting net zero technique practices. Achieving goal needs technological integration, such as Caron Capture Technology (CCT) Life Cycle Assessment (LCA). Are LCA CCT unlocking potential net-zero practices in MSC? This still be answered. Therefore, this study aims identify prioritize enablers of (LCA) facilitate NZSC. We identified using Systematic Literature Review (SLR) expert opinion. An empirical validated these enablers, followed application “Best-Worst Method (BWM)” rank them “Fuzzy Decision-making trial evaluation laboratory (F-DEMATEL)” causal relationships. The outcomes reveal that ‘Energy Management Emission Reduction’ is most critical category ‘Governance Collaboration’, ‘Assessment Digitalization’, ‘Sustainable Materials Production’. Outcomes highlight importance integrating innovations stakeholder engagement achieve goals. implications provide valuable insights policymakers practitioners. By focusing prioritized manufacturing can effectively implement LCA, develop NZSC business model, enhance competitiveness global market. contributes ongoing discourse offers strategic framework achieving 2050.

Язык: Английский

Процитировано

9

Assessing Drivers Influencing Net-Zero Emission Adoption in Manufacturing Supply Chain: A Hybrid ANN-Fuzzy ISM Approach DOI Open Access
Alok Yadav, Anish Sachdeva, Rajiv Kumar Garg

и другие.

Sustainability, Год журнала: 2024, Номер 16(17), С. 7873 - 7873

Опубликована: Сен. 9, 2024

Nowadays, there is a constant focus on implementing the net-zero emission (NZE) concept in manufacturing supply chain (MSC). To reduce emissions and improve organisational efficiency, adopting prevalent trend today’s highly competitive global business environment. Governments stakeholders are pressuring sector to use natural resources efficiently environmental impacts. As result, industry focusing cleaner production using practices. This study aims identify analyse interaction among drivers of adoption MSC. Through systematic literature review (SLR), list was recognised. validate these drivers, we conducted an empirical with 173 respondents from Indian industry. Further, employed artificial neural network (ANN) weigh nonlinear effect drivers. Fuzzy interpretive structural modelling (F-ISM) used relationships construct hierarchical structure identified The fuzzy matrix cross-impact multiplications applied classification (F-MICMAC) method categorise into driving dependent categories. outcomes ANN show that Environmental predictors (100%) emerged as most significant followed by Economic (60.38%) Technological (59.05%). valuable resource for academia professionals, providing essential insights how net zero facilitates industry’s ability achieve across chain.

Язык: Английский

Процитировано

5

Unlocking Circular Economy Through Digital Transformation: the Role of Enabling Factors in SMEs DOI
Anbesh Jamwal, Sushma Kumari, Rajeev Agrawal

и другие.

International Journal of Global Business and Competitiveness, Год журнала: 2024, Номер 19(1), С. 24 - 36

Опубликована: Март 5, 2024

Язык: Английский

Процитировано

4

An Analytical Study on Opportunities and Challenges towards Implementation of Industry 4.0 Tools for Manufacturing SMEs in Karnataka DOI Open Access
Suchismita Satapathy

Journal of Informatics Education and Research, Год журнала: 2025, Номер 5(1)

Опубликована: Янв. 13, 2025

In the era of Industry 4.0, there is a significant shift in manufacturing paradigms, offering substantial opportunities for operational efficiency, product quality, and supply chain integration. However, small medium-sized enterprises (SMEs) Karnataka face numerous challenges adopting these advanced technologies. This study investigates readiness capacity SMEs to implement 4.0 tools, focusing on financial capacity, workforce skills, infrastructure support, comparative regional analysis. Data were collected from ten through structured questionnaires discussions with officials, supplemented by secondary data books, research papers, journals, annual reports, websites. The analyzed using SPSS software, employing descriptive statistics, correlation analysis, ANOVA. findings reveal moderate strong correlations between highlighting interconnected nature factors. Despite uniform across industries, Karnataka's demonstrate high level digital transformation, suggesting that broad-based initiatives could effectively support their adoption provides actionable insights policymakers business leaders facilitate successful implementation tools.

Язык: Английский

Процитировано

0

Strategies for Sustainable Development Leveraging MSMEs in the Philippine Blue and Green Economy DOI
Dustin Tarinque Loreño, Huang Yu

Practice, progress, and proficiency in sustainability, Год журнала: 2025, Номер unknown, С. 299 - 330

Опубликована: Янв. 17, 2025

This chapter examines the significant role of MSMEs in advancing a sustainable blue and green economy Philippines, focusing on Innovation for Sustainability Financial Empowerment. It discusses how can reduce environmental impact enhance resource efficiency through waste minimization, greener technologies, tourism. empowerment microfinance, public-private partnerships, government policies ensures access funds renewable energy projects eco-friendly technologies. The provides framework cooperation among policymakers, stakeholders, MSMEs, offering practical insights case studies successful practices. aims to guide Philippine towards resilient, path where economic growth aligns with integrity, highlighting as key drivers this shift.

Язык: Английский

Процитировано

0

Developing a maturity model for Industry 4.0 practices in manufacturing SMEs DOI
Anbesh Jamwal, Rajeev Agrawal, Monica Sharma

и другие.

Operations Management Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

A Physics-Informed AI Control System for Enhanced Safety and Automation in Hollow Glass Manufacturing DOI Open Access

Federico Monegaglia,

Nicola Peghini, E. K. Lenzi

и другие.

Procedia Computer Science, Год журнала: 2025, Номер 253, С. 3123 - 3132

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Barriers to Industry 4.0 Implementation in Indian Manufacturing SMEs Using Integrated AHP-VIKOR Framework DOI
Sujit Singh, Afzalur Rahman

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 249 - 268

Опубликована: Фев. 28, 2025

This study explores the barriers that Indian Small and Medium Enterprises (SMEs) encounter when implementing Industry 4.0 technologies. 4.0, marked by cyber-physical systems, data analytics, automation, offers significant potential for enhancing efficiency productivity. Despite this, SMEs face substantial challenges in these The research utilizes a combined Multi-Criteria Decision Making (MCDM) approach, integrating Analytic Hierarchy Process (AHP) VIKOR methods. AHP helps prioritize various based on expert opinions their relative importance. After identifying weighing barriers, is used to rank them. evaluates “closeness” ideal solution “maximum group utility distance” from other options. integrated approach comprehensive way identify most critical develop strategies address results of this can aid designing targeted interventions overcome challenges. By understanding specific issues face, policymakers, industry leaders, technology providers create more favorable environment adopting 4.0. This, turn, help harness transformative power new industrial revolution.

Язык: Английский

Процитировано

0

Analysing Lean 4.0 Adoption Factors Towards Manufacturing Sustainability in SMEs: A Hybrid ANN-Fuzzy ISM Framework DOI
Karishma M. Qureshi, Bhavesh G. Mewada, Alok Yadav

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract Manufacturing industries across the globe are undergoing a digital transformation that demands both efficiency and sustainability. Industry 4.0 (I4.0) Lean (L4.0) methodologies have become focal points in these efforts. Despite widespread recognition of benefits integrating L4.0 I4.0, more studies need to address practical challenges this integration, especially key factors influence its successful implementation. Small medium-sized enterprises (SMEs) emerging economies often face significant practices due resource limitations complex operational challenges. This study bridges critical research gap by proposing an integrated framework combines Artificial Neural Networks (ANN) with fuzzy Interpretive Structural Modeling (FISM) identify prioritise success (CSFs) for adoption. A survey 216 manufacturing SMEs was used validate CSFs through Exploratory Factor Analysis (EFA). The ANN analysis revealed Process Factors highest normalised importance (NI) 100%, followed Organizational (NI = 60.46%), Human 58.93%), Technological 43.21%), External 42.13%), Environmental 39.63%). Complementary FISM Cross-Impact Matrix Multiplication Applied Classification (MICMAC) analyses further structured relationships, underscoring roles Change Management, Culture, Waste Reduction, Regulatory Compliance. These findings offer theoretical advancement understanding CSF interactions guidance striving achieve sustainable practices.

Язык: Английский

Процитировано

0