Reshaping competitive advantages with analytics capabilities in service systems

Shahriar Akter, Angappa Gunasekaran, Samuel Fosso Wamba, Mujahid Mohiuddin Babu, Umme Hani

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)
315 Downloads (Pure)


Big data analytics capability can reshape competitive advantages for a service system. However, little is known about how to develop and operationalize a service system analytics capability (SSAC) model. Drawing on the resource based view (RBV), dynamic capability theory (DCT) and the emerging literature on big data analytics, this study develops and validates an SSAC model and frames its impact on competitive advantages using a thematic analysis, delphi studies (n=35) and a survey (n=251) . The main findings illuminate the varying importance of three primary dimensions (i.e., service system analytics management capability, technology capability and personnel capability) and various respective subdimensions (i.e., service system planning, investment, coordination, control, connectivity, compatibility, modularity, technology management knowledge, technical knowledge, business knowledge and relationship knowledge) in developing overall analytics capabilities for a service system. The findings also confirm the strong mediating effects of three dynamic capabilities (i.e., market sensing, seizing and reconfiguring) in establishing competitive advantages. We critically discuss the implications of our findings for theory, methods and practice with limitations and future research directions.
Original languageEnglish
Article number120180
JournalTechnological Forecasting and Social Change
Early online date4 Jul 2020
Publication statusPublished - Oct 2020

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 159, (2020)
DOI: 10.1016/j.techfore.2020.120180

© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


  • Big data
  • Competitive advantage
  • Dynamic capability
  • Service analytics capability

ASJC Scopus subject areas

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation


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