1 Department of Business Administration and Management, Babson College, Massachusetts, Boston, United State.
2 Department of Information Technology Management, Lancaster University, Lancaster, United Kingdom.
3 International Trade Council, SPE, Abuja, Nigeria.
World Journal of Advanced Research and Reviews, 2025, 26(02), 2825-2838
Article DOI: 10.30574/wjarr.2025.26.2.1766
Received on 23 March 2025; revised on 09 May 2025; accepted on 11 May 2025
Effective waste management is crucial for environmental sustainability and waste generation prediction tools have emerged as a promising solution. However, a significant gap exists between waste management policies and the adoption of innovative technologies. This article explores the social impact of waste generation prediction tools in bridging this gap, examining their potential to enhance waste management practices, improve resource allocation, and promote sustainable development. By analyzing the intersection of policy, technology and social outcomes, this study provides insights into the opportunities and challenges of leveraging waste generation prediction tools for more effective waste management.
Waste Management; Social Impact; Waste Generation Prediction; Environmental Management; Technology Adoption
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Adekunbi Bello, Anita Ogheneochuko Odiete and Friday Anwansedo. Bridging the gap between waste management policies and technology: The social impact of waste generation prediction tools. World Journal of Advanced Research and Reviews, 2025, 26(2), 2825-2838. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1766