Evaluating the Adoption of Industry 4.0, Sustainability and Circular Economy Drivers to Achieve Sustainable Development Goals–Oriented Agri‐Food Supply Chains DOI Creative Commons
Selçuk Perçin, Yaşar Bayraktar, Vikas Kumar

et al.

Business Strategy and the Environment, Journal Year: 2025, Volume and Issue: unknown

Published: March 5, 2025

ABSTRACT The consideration of Industry 4.0, sustainability and circular economy (I4.0‐S‐ CE ) drivers plays a pivotal role in the development agri‐food supply chains (AFSCs) that aim to achieve sustainable goals (SDGs). Establishing SDGs‐oriented AFSCs is critical for meeting agricultural needs developing countries, prioritizing SDGs effective policies. However, this requires integrating I4.0‐S‐ into AFSCs. This study first propose integration create AFSCs, aiming identify key rank countries. A literature review expert opinions were utilized three main 18 subdrivers goal. Then, importance level each driver was determined using fuzzy best worst method (FBWM), ranked based on their weighted aggregated sum product assessment (FWASPAS) scores. validity findings assessed through comparison with other decision‐making techniques one‐at‐a‐time sensitivity analysis. demonstrates how contributes achievement Moreover, offers valuable guidance practitioners regarding prioritization identifying support

Language: Английский

Adoption of green finance and green innovation for achieving circularity: An exploratory review and future directions DOI Creative Commons
Rohit Agrawal, Shruti Agrawal, Ashutosh Samadhiya

et al.

Geoscience Frontiers, Journal Year: 2023, Volume and Issue: 15(4), P. 101669 - 101669

Published: July 11, 2023

There is growing attention from governments and regulators towards crucial matters such as climate change global warming, resulting in a pressing need to investigate the factors that make it possible for businesses engage green finance (GF). The externality of environmental pollution prioritizes innovation (GI) public management. GF distributes financial resources research development (R&D) clean energy environmentally friendly goods processes; complementary GI process protection. policies help alleviate impacts constraints impaired industries involving new products, processes, services market. To better understand how have functioned catalyst circular economy practices, this paper seeks present historical contemporary overview these concepts. thoroughly dissected by systematic literature evaluation articles 2016-2023 appear peer-reviewed journals are indexed SCOPUS database. attain supply chain circularity, article encompasses four major themes concerning adoption technologies. also includes network analysis shortlisted examine overall citation trends. It shown several institutional theories associated with investigated area. As final step, framework provided illustrate GIs might be used achieve circularity. findings provide novel concept related within context which significant environmentalists, policymakers, investors, researchers. Through its findings, study provides conceptual promotes sustainable strategies effectively balance considerations innovation. helps leverage potential practice create value benefit society at large. an unexplored contribution current terms delivering evidence past approaches economy. results will attract policymakers stakeholders develop combine two concepts promote long term sustainability.

Language: Английский

Citations

145

Leveraging digital technologies for advancing circular economy practices and enhancing life cycle analysis: A systematic literature review DOI Creative Commons
Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(3), P. 69 - 83

Published: July 4, 2024

In today's interconnected world, traditional approaches to managing resources and analyzing product life cycles are often inefficient lack precision. Digital technologies offer a suite of tools methodologies that can revolutionize these practices. Through systematic literature review on the Scopus database, this study examines (i) various ways in which digital contribute aspects circular economy initiatives, viz., promoting resource optimization, efficiency, waste reduction, overall sustainability (ii) cycle analysis organizational value chain within framework. Intersections with drive significant advancements practices by optimizing efficiency improving environmental impact assessments across industries. Key topics covered include technologies, data collection management, design lifecycle monitoring assessment, predictive analytics modeling, supply transparency traceability, virtual reality (VR) platforms, etc. The also highlights potential benefits challenges associated adoption context initiatives offers insights for practical implications future research directions. By leveraging strategically, organizations innovation, overcome challenges, accelerate progress toward more sustainable economy.

Language: Английский

Citations

22

Prioritizing Circular Economy actions for the decarbonization of manufacturing companies: The c-readiness tool DOI Creative Commons
Gianmarco Bressanelli, Nicola Saccani

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110876 - 110876

Published: Jan. 1, 2025

Language: Английский

Citations

2

The disruptive action of Industry 4.0 technologies cross-fertilizing Circular Economy throughout society DOI Open Access
Claudio Sassanelli, Jose Arturo Garza‐Reyes, Yang Liu

et al.

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 183, P. 109548 - 109548

Published: Aug. 17, 2023

Language: Английский

Citations

42

Can green finance facilitate Industry 5.0 transition to achieve sustainability? A systematic review with future research directions DOI
Karambir Singh Dhayal, Arun Kumar Giri, Anil Kumar

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(46), P. 102158 - 102180

Published: Sept. 11, 2023

Language: Английский

Citations

36

Considering the circular economy for designing closed-loop supply chain under hybrid uncertainty: A robust scenario-based possibilistic-stochastic programming DOI
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121745 - 121745

Published: Sept. 28, 2023

Language: Английский

Citations

29

Drivers and barriers of smart technologies for circular economy: Leveraging smart circular economy implementation to nurture companies' performance DOI
Elisa Truant, Daniele Giordino,

Edoardo Borlatto

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 198, P. 122954 - 122954

Published: Nov. 1, 2023

Language: Английский

Citations

23

A comprehensive review integration of digitalization and circular economy in waste management by adopting artificial intelligence approaches: Towards a simulation model DOI
Seyed reza seyyedi, Elaheh Kowsari, Mohammad Gheibi

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 460, P. 142584 - 142584

Published: May 18, 2024

Language: Английский

Citations

14

Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions DOI Open Access
Chen Qu, Eunyoung Kim

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6186 - 6186

Published: July 19, 2024

In the post-pandemic era, uncertain global market and rising social-environmental issues drive organizations to adapt their supply chain strategies more dynamic, flexible models, leveraging advanced technologies like AI, big data analytics, decision support systems. This review paper aims examine current research on AI-integrated in sustainable management (SSCM) inform future directions. We adopted bibliometric text analysis, targeting 170 articles published between 2004 2023 from Scopus database following PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analyses) protocol. confirm that have demonstrated capability enable SSCM across various sectors. generated ten topics using Latent Dirichlet Allocation (LDA) method proposed 20 propositions. The results show processes primarily address sustainability, focusing environmental economic issues. However, there is still a technological gap tackling social working conditions fair dealing. Thus, we dynamic framework of AI help researchers practitioners synthesize optimize models

Language: Английский

Citations

11

Improving triple bottom line (TBL) performance: analyzing impacts of industry 4.0, lean six sigma and circular supply chain management DOI
Saumyaranjan Sahoo, Arvind Upadhyay

Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown

Published: April 5, 2024

Language: Английский

Citations

9