Exploring data conditions to improve business performance

Didier Grimaldi, Vicenc Fernandez, Carlos Carrasco

Research output: Indexed journal article Articlepeer-review

13 Citations (Scopus)

Abstract

Past researches drew from the industrial organization perspective have examined the role of the data to generate competitive advantage. Their analysis show data is a valuable resource that can leverage business partnerships, vertical integration, or diversification. The emergence of data science has created new opportunities to understand better clients’ needs and to manage more efficiently the organizations’ processes. Nevertheless, if data analytics represent an enormous potential, many organizations are still looking the conditions to obtain value from them. Our study contributes to this topical subject analysing the relationship between different combinations of data conditions and the company performance that we measure through the Customer management and Provider operations efficiency. Our methodology is novel compared to previous researches which are based in linear algebra. It is based on the use of a fuzzy-set qualitative comparative analysis (fsQCA) which allows to reveal multiple paths to achieve the possible outcomes. Our results show that the consistency, completeness, and protection of the data along with a data-driven company profile are different possible solutions to a better Customer management and Provider operations efficiency. Our conclusions allow practitioners to uncover the strength of the data in the hopes of solving many of their business performance concerns.

Original languageEnglish
Pages (from-to)1087-1098
Number of pages12
JournalJournal of the Operational Research Society
Volume72
Issue number5
DOIs
Publication statusPublished - 2021

Keywords

  • business performance
  • competitive analytics
  • data science
  • qualitative comparative analysis

Fingerprint

Dive into the research topics of 'Exploring data conditions to improve business performance'. Together they form a unique fingerprint.

Cite this