Emerging research problems in different business domains: An analytics perspective

• 成果类型: Article
• 署名作者: Gupta, Sushil; Parra, Carlos M.; Kumar, Subodha
• 署名单位: State University System of Florida; Florida International University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13875
• 发表日期: 2022
• 页码: 3647-3650
• 关键词: algorithmic fairness; analytics; ORGANIZATIONAL CULTURE; restaurant; retail; smart transport; Text Mining

摘要

In this paper, we provide brief summaries of the papers included in the special issue on Business Analytics: Emerging Practice and Research Issues. There are eight papers, including this study, published in the special issue. We also categorize papers across different themes and present emerging research directions for business analytics-related problems in different domains.