Analytics in healthcare supply chain management in the new normal era: a review and future research agenda

被引:6
|
作者
Tyagi, Sapna [1 ]
机构
[1] Inst Management Technol, Dept Business Analyt, Ghaziabad, India
关键词
Analytics; Healthcare supply chain; Bibliometric analysis; Systematic review; TCCM framework; BIG DATA ANALYTICS; ARTIFICIAL-INTELLIGENCE; FRAMEWORK; SERVICE; IMPACT;
D O I
10.1108/BIJ-03-2023-0155
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose- The relevance of analytics to the healthcare supply chain is increasing with emerging trends and technologies. This study examines how analytics are used in the healthcare supply chain in the "new normal" environment.Design/methodology/approach- A systematic literature review was conducted by extracting research articles related to analytics in the healthcare supply chain from Scopus. The author used a hybrid review approach that combines bibliometric analysis with a theories, contexts, characteristics, and methodology (TCCM) framework-based review to identify various themes of analytics in the healthcare supply chain.Findings- The hybrid review strategy yielded results that focus on prevalent theories, contexts, characteristics, and methodologies in the field of healthcare supply chain analytics. Future research should explore the resulting antecedents, decision-making processes and outcomes (ADO) framework, which integrates technological, economic, and societal concerns and outcomes. Future research agendas could also seek to apply theoretical perspectives in the field of analytics in the healthcare supply chain.Originality/value- The result of a review of selected studies adds to the current body of work and contributes to the growth of research in the field of analytics in the healthcare supply chain. It also provides new directions to healthcare supply chain managers and academic scholars.
引用
收藏
页码:2151 / 2175
页数:25
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