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Unlocking the Power of Business Analytics in Underutilized Sectors: A Case Focus on Rural and Small-Scale Agriculture
Subject area: Management and Commerce · Area of research: Business Analytics in Underutilized Sectors
Abstract
This study examines the role of business analytics in enhancing efficiency and sustainability within underutilized sectors, with a specific focus on rural and small-scale agriculture. Using a case study approach and survey data collected from 10 students pursuing business analytics, the research explores awareness, applicability, and perceived impact of data-driven tools in agricultural practices. Findings indicate a growing recognition of analytics in areas such as yield forecasting, resource planning, and market access. While students acknowledge the potential of analytics to improve decision-making and productivity, challenges such as limited digital exposure in rural settings, infrastructural constraints, and lack of targeted training persist. The study recommends capacity-building initiatives, improved access to analytical tools, and curriculum integration to bridge the gap between analytics education and real-world agricultural needs.)
References
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[4] Mazzocchi, M., Lobb, A., Traill, W.B., & Cavicchi, A. (2009). Food scares and trust: A European study. Journal of Agricultural Economics, 60(1), 95–115.
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How to cite this paper
@article{1709177,
author = {Naman Kumar},
title = {Unlocking the Power of Business Analytics in Underutilized Sectors: A Case Focus on Rural and Small-Scale Agriculture},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {12},
pages = {518-525},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709177.pdf},
abstract = {This study examines the role of business analytics in enhancing efficiency and sustainability within underutilized sectors, with a specific focus on rural and small-scale agriculture. Using a case study approach and survey data collected from 10 students pursuing business analytics, the research explores awareness, applicability, and perceived impact of data-driven tools in agricultural practices. Findings indicate a growing recognition of analytics in areas such as yield forecasting, resource planning, and market access. While students acknowledge the potential of analytics to improve decision-making and productivity, challenges such as limited digital exposure in rural settings, infrastructural constraints, and lack of targeted training persist. The study recommends capacity-building initiatives, improved access to analytical tools, and curriculum integration to bridge the gap between analytics education and real-world agricultural needs.)},
month = {June},
}