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Aug 21, 2026·Journal of Intelligent Decision Making and Information Science
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Data-Driven Decision-Making in Supply Chain Management: A Study of Strategic Innovation in the Urban Agriculture Sector

Durga Devi

This study examines how data-driven decision-making and information systems shape supply chain efficiency, sustainability practices, and technological integration in an urban agriculture enterprise, with a focus on rejection and redistribution procedures as a decision-support mechanism for waste management. The objectives were to assess how real-time monitoring tools, IT-based order-processing platforms, and other information systems support supply chain and sustainability decision-making, and how such systems inform the firm's waste-management strategy. A quantitative approach was adopted, stratifying 100 stakeholders consumers, suppliers, farm operators, and distribution partners using structured questionnaires, with descriptive statistics applied to assess performance across key decision areas. A purposively selected agribusiness enterprise committed to supply chain performance was found to have moderate-to-high efficacy in timely delivery management, real-time monitoring tools, and order-processing IT platforms that collectively support operational decision-making. Sustainability is improved through decisions favouring biodegradable packaging and local, seasonal sourcing. Technological integration, including transparency mechanisms and smart packaging, informs the firm's decision processes, although blockchain adoption remains limited in practice. Effective rejection and redistribution decision processes reduce waste, divert surplus to productive channels, and directly support the company's zero-waste objectives. The findings show that supply chain excellence and environmental responsibility are mutually reinforcing when decision-making is supported by the right information systems: biodegradable packaging, in-house waste-management systems, and selective use of emerging technologies collectively strengthen operational performance. By embedding data-driven decision-support at every stage of its supply chain, the enterprise offers a model for responsible, information-systems-enabled agritech decision-making that balances efficiency, food safety, and long-term environmental sustainability.

Open access
Food Waste Reduction and Sustainability
Agriculture Sustainability and Environmental Impact
Food Supply Chain Traceability
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