Big data in purchasing and supply management: A research agenda

Ala Pazirandeh Arvidsson*, Patrik Jonsson, Riikka Kaipia

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)
58 Downloads (Pure)


This study aims to synthesise knowledge about big data (BD) in the area of purchasing and supply management (PSM) and to develop an agenda for future research. A systematic literature review approach was employed, and 65 articles were synthesised based on a classification for BD in PSM to identify research gaps and opportunities. Literature in this area is descriptive and conceptual in nature, and modelling methods are favoured. BD applications were identified for supplier selection, supply risk management, and supply visibility. Based on the complexity of access and use of BD, we identify a need for contextualised theory-building studies.

Original languageEnglish
Pages (from-to)185-212
Number of pages28
JournalInternational Journal of Procurement Management
Issue number2
Publication statusPublished - 2021
MoE publication typeA1 Journal article-refereed


  • Big data
  • Data analytics
  • Literature review
  • PSM
  • Purchasing and supply management
  • Research agenda


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