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Publicação
A systematic literature review of barriers to analytics adoption in supply chain decision-making
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| 2.67 MB | Adobe PDF |
Orientador(es)
Resumo(s)
The growing demand for resilient, proactive, and intelligent supply chains (SCs) has increased the adoption of analytics to support operational, tactical, and strategic decision-making. Despite the rapid growth of analytics applications in supply chain management (SCM), many initiatives remain confined to theoretical or experimental contexts and face significant challenges in real-world implementation. Existing literature has predominantly focused on methodological advancements and performance improvements, while barriers to implementation are often treated as secondary concerns rather than structural constraints that may inhibit adoption. This study examines barriers to the adoption of analytics in SCM through a systematic literature review complemented by grey literature. Based on the analysis of 464 papers, a taxonomy of barriers was developed, comprising six categories: organizational, technological, data-related, modeling, regulatory and ethical, and people-related. The findings show that these barriers are highly interdependent and generate compatibilities and trade-offs, where improvements in one dimension may mitigate or intensify constraints in another. The integration of grey literature supported the development of a multilayered framework that conceptualizes analytics adoption as holistic and interdependent process composed of three interconnected layers: (i) a strategic layer related to alignment, direction, and value orientation; (ii) a capability layer derived from the six barrier categories and representing the organizational capabilities required to support analytics adoption; and (iii) an operationalization layer associated with process integration, scalability, and effective analytics use within SC workflows. Finally, our study outlines future research directions and managerial implications to support the adoption of analytics in SCM.
Descrição
Palavras-chave
Analytics adoption Implementation barriers Prescriptive analytics Supply chain management Systematic literature review Trade-offs
Contexto Educativo
Citação
Editora
Elsevier Inc.