Building data analytics capability to increase information processing capacity: The case of a professional service firm

Jas Kalra, Grant Mills, Eleni Papadonikolaki

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Supply chain literature has emphasised the importance of data analytics capability in driving supply chain outcomes. Additionally, along with knowledge and professional judgement, providing data-driven analyses has become a critical component of professional service operations. However, there remains little understanding of how organisations build data analytics capability to reduce supply network uncertainty. A single case study of a professional service firm revealed analytics capability to be a combination of three capabilities, each with its distinct micro-foundations. We argue that the development of analytics capability requires the interaction of individual abilities and knowledge-bases with social and technical inter-organisational processes and structures.
Original languageEnglish
Title of host publicationEuropean Operations Management Association (EurOMA)
Number of pages8
Publication statusPublished - 2021
Externally publishedYes

Keywords

  • Organisational information processing theory
  • data analytics capability
  • micro-foundations
  • professional service operations

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