Opportunities in farming research from an operations management perspective

• 成果类型: Article
• 署名作者: Gupta, Sushil; Rikhtehgar Berenji, Hossein; Shukla, Manish; Murthy, Nagesh N.
• 署名单位: State University System of Florida; Florida International University; Pacific University; Durham University; University of Oregon; University of Oregon
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13967
• 发表日期: 2023
• 页码: 1577-1596
• 关键词: agribusiness; Blockchain; data driven; farming; precision agriculture; predictive and prescriptive analytics

摘要

We review and analyze the farming (upstream agribusiness supply chain) research literature since 1965 to identify farming research opportunities for operations management (OM) researchers. A majority of reviewed papers in our corpus, until the turn of the 21st century, primarily focus on improving operational efficiency and effectiveness of farming using optimization techniques. However, during the last two decades, farmers' welfare and the interests of other stakeholders have drawn OM researchers' attention. This expanded focus on farming research has become possible due to the proliferation of mobile communication devices and the Internet as well as advancements in information technology platforms and social media. Our review also shows that there is a paucity of OM literature that leverages increased data availability from the emergence of precision agriculture and blockchain to address major challenges for the farming sector emanating from climate change, natural disasters, food security, and sustainable and equitable agriculture, among others. Big data, in conjunction with opportunities for field-based experimentation, artificial intelligence and machine learning, and integration of predictive and prescriptive analytics, can be leveraged by OM scholars engaged in farming research. We zero in on specific questions, issues, and opportunities for research in farming.