The Emerging Role of Artificial Intelligence and Big Data in Agri Management for Driving Sustainable Growth in the Global Food Industry

2025-09-12T09:53:55+00:00

The global food industry is undergoing rapid transformation, driven by the integration of advanced technologies in agri management. Among these, Artificial Intelligence (AI) and Big Data analytics are emerging as pivotal tools in enhancing efficiency, sustainability, and competitiveness. This study explores the strategic role of AI and Big Data in agri management, with a focus on how these technologies contribute to sustainable growth in the global food industry. AI applications such as predictive analytics, precision farming, crop monitoring, and automated decision making are reshaping agricultural practices by enabling resource optimization and reducing production risks. Similarly, Big Data facilitates real time insights into market trends, weather patterns, consumer preferences, and supply chain dynamics, thus supporting evidence based management decisions. The integration of these technologies not only improves productivity but also addresses pressing challenges such as food security, climate change, and environmental sustainability. Furthermore, the study highlights how AI driven solutions and data centric strategies foster innovation in farm management, strengthen supply chain resilience, and enhance value creation for stakeholders. By examining the opportunities and barriers associated with the adoption of AI and Big Data in agri
management, this research provides insights into their transformative potential in building a sustainable, technology enabled food ecosystem. The findings emphasize that the effective implementation of AI and Big Data requires robust infrastructure, a skilled workforce, supportive policies, and consideration of ethical implications to achieve long term global food security and sustainability.

Natural Resource-Based View (NRBV) and the Role of Data Mining in Sustainable Digital Enterprises

2025-10-06T04:45:09+00:00

The increasing integration of digital technologies in business has amplified the strategic importance of data mining as a tool for achieving sustainability. Anchored in the Natural Resource-Based View (NRBV), this study examines how data mining contributes to building sustainable digital enterprises by fostering environmental stewardship, social responsibility, and long-term economic viability. NRBV suggests that firms can develop a sustained competitive advantage by cultivating capabilities that are rare, valuable, inimitable, and organized around ecological and social resources. Data mining, when strategically deployed, enhances organizational intelligence by extracting actionable insights from vast digital datasets. These insights can reduce resource inefficiencies, optimize energy consumption, minimize waste in production and supply chains, and promote eco-friendly decision making. Moreover, data mining supports social sustainability by analysing consumer preferences for green products, improving transparency in reporting and enabling more ethical business practices. Economically, the integration of predictive analytics allows firms to identify new market opportunities, strengthen resilience, and balance profit with sustainability imperatives. This theoretical exploration highlights that the synergy between NRBV and data mining equips digital enterprises to transform sustainability challenges into opportunities for innovation and differentiation. The paper underscores that sustainability in digital environments requires not only technological adoption but also a strategic alignment with ecological and social considerations, where data mining becomes a critical enabler. By framing data mining practices through the NRBV lens, this study provides a pathway for enterprises to achieve sustainable growth in an increasingly digitalized global economy.

Recent Trends in Data Mining and Business Forecasting

The Emerging Role of Artificial Intelligence and Big Data in Agri Management for Driving Sustainable Growth in the Global Food Industry

Natural Resource-Based View (NRBV) and the Role of Data Mining in Sustainable Digital Enterprises