Smart City Gnosys

Smart city article details

Title Analysing Challenges To Smart Waste Management For A Sustainable Circular Economy In Developing Countries: A Fuzzy Dematel Study
ID_Doc 9019
Authors Yadav H.; Soni U.; Kumar G.
Year 2023
Published Smart and Sustainable Built Environment, 12, 2
DOI http://dx.doi.org/10.1108/SASBE-06-2021-0097
Abstract Purpose: Waste can be converted to a high-value asset if treated properly with smart solutions. The purpose of this research is to identify critical barriers hindering smart waste management (SWM) implementation in developing economies using comparative analysis and a mixed-method approach. The objective of this work is to provide exhaustive insight including the smart cities projects to discuss the deferring parameters toward IoT-enabled waste management systems. Design/methodology/approach: To accomplish the objective, the present study followed mixed-method approach consisting of two phases: In the first qualitative phase, barriers in the adoption of IoT (Internet of Things) for SWM were identified using extensive literature review and discussion with selected experts. In the second phase, the quantitative analysis using the Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) method was performed on the selected barriers. The fuzzy DEMATEL methodology helps in prioritizing the most significant causal barrier by separating them into the cause-effect group. The comparative analysis was used to understand two different perceptions. To provide more detailed insight on the problems faced while implementing SWM in developing economies. Findings: The results disclose that “Lack of government strict regulatory policies,” “Lack of proper financial planning” and “Lack of benchmarking processes” are the most critical causal barriers toward IoT-enabled SWM implementation that are hindering the vision of efficient and effective waste management system. Also, “Difficulty in implementing innovative technologies” and “Absence of Dynamic Scheduling and Routing” fall under the potential causal category. The effect barriers include “Lack of awareness among the community,” “Lack of source segregation and recycling commitment” and “Lack of service provider” as concluded in results considering the comparative analysis. The results can aid the policy-makers and stakeholders to identify the significant barriers toward a sustainable circular economy and mitigate them when implementing IoT-enable waste practices. Also, it assists to proactively build programs, policies, campaigns and other measures to attain a zero-waste economy. Research limitations/implications: The research is focused on the context of India but it provides new details which can be helpful for other developing economies to relate. The research addresses the call for studies from public-sector and citizen’s perspectives to understand the acknowledgment of SWM systems and critical success factors using qualitative and exploratory method analysis. Practical implications: The practical implications of the study include strict regulatory policies and guidelines for SWM acceptance, proper financial administration and benchmarking waste-recycling practices (prominent causal barriers). The practical implication of the results includes assistance in smart city projects in handling barriers proactively. The “Lack of Benchmarking processes” provides a critical application to standardized recycling practices in developing economies to improve the quality of the recyclable material/product. The comparative analysis also provides in-depth reflection toward the causal barriers from both the perspective which can help the government and stakeholders to work in a unified manner and establish an efficient waste management system. The results also conclude the need for targeted training programs and workshops for field implementation of innovative technologies to overcome the causal barrier. Moreover, policy-makers should focus to improve source segregation and recycling practices and ensure dedicated communication campaigns like Swachh Bharat Abhiyan to change the behavioral functioning of the community regarding waste. Lastly, developing economies struggle with the adequacy of resources to establish SWM systems, hence the authors conclude that proper financial planning is required at the ground level for smart city projects to overcome the spillover effects. Social implications: The social implications of the study include a reduction in pollution and efficient handling of waste resulting in a healthier and cleaner environment using IoT technology. Also, the results assist decision-makers in developing economies like India to establish smart city projects initiatives effectively to improve the quality of life. It proposes to establish standardized recycling processes for the better quality of recyclables and help in attaining a sustainable circular economy. Originality/value: The research is novel as it provides comprehensive and comparative information regarding the barriers deferring SWM including the field barriers. To our consideration, the present study serves the first to address the comparative analysis of barriers in IoT-enabled waste systems and establish the relationship from both the perspective in middle-lower income economies. The study also suggests that the effect barriers can be overcome automatically by mitigating the causal barriers in the long run. © 2021, Emerald Publishing Limited.
Author Keywords Barriers; DEMATEL; Fuzzy set theory; Smart waste management; Sustainable circular economy


Similar Articles


Id Similarity Authors Title Published
34092 View0.922Agrawal S.; Oza P.; Patel S.; Oza H.; Sharma Y.; Patel T.Iot-Enabled Smart Waste Management: Applications, Adoption Barriers, And Mitigation Strategies In The Indian ScenarioJournal of Material Cycles and Waste Management, 27, 4 (2025)
33045 View0.905Zyoud S.; Zyoud A.H.Internet Of Things Supporting Sustainable Solid Waste Management: Global Insights, Hotspots, And Research TrendsInternational Journal of Environmental Science and Technology, 22, 9 (2025)
32165 View0.891Gaur T.S.; Yadav V.; Prakash S.; Panwar A.Integration Of Industry 4.0 And Circular Economy For Sustainable E-Waste ManagementManagement of Environmental Quality, 36, 5 (2025)
30923 View0.885Hosseini Dehshiri S.J.; Amiri M.; Mostafaeipour A.; Le T.Improving Sustainability In Waste Management Based On The Internet Of Things: A Robust Hybrid Decision-Making FrameworkEnvironmental Development, 56 (2025)
10707 View0.878Hossain I.; Haque A.K.M.M.; Ullah S.M.A.Assessing Sustainable Waste Management Practices In Rajshahi City Corporation: An Analysis For Local Government Enhancement Using Iot, Ai, And Android TechnologyEnvironmental Science and Pollution Research (2024)
9500 View0.878Torkayesh A.E.; Deveci M.; Torkayesh S.E.; Tirkolaee E.B.Analyzing Failures In Adoption Of Smart Technologies For Medical Waste Management Systems: A Type-2 Neutrosophic-Based ApproachEnvironmental Science and Pollution Research, 29, 53 (2022)
21626 View0.877Rena; Yadav S.; Patel S.; Killedar D.J.; Kumar S.; Kumar R.Eco-Innovations And Sustainability In Solid Waste Management: An Indian Upfront In Technological, Organizational, Start-Ups And Financial FrameworkJournal of Environmental Management, 302 (2022)
13972 View0.876Kaneti V.R.; Shanthi D.; Sassirekha S.M.; Dhivya Devi S.; Karthikeyan M.; Maheswari B.; Beslin Pajila P.J.Circular Economy And Sustainability In Smart Cities: Integrating Technologies For A Sustainable FutureLeveraging Urban Computing for Sustainable Urban Development (2025)
25754 View0.875Shafik W.Exploring The Potential Of Internet Of Things (Iot) And Challenges In Enabling Circular Economy Practices In Smart CitiesSmart Cities and Circular Economy: The Future of Sustainable Urban Development (2024)
54219 View0.875Nautiyal N.S.; Walia I.Synergizing E-Waste Management With Smart City Initiatives: A Path Toward Sustainable Urban DevelopmentFuzzy Logic in Smart Sustainable Cities (2025)