Strategic Value Creation through Big Data Analytics Capabilities: A Configurational Approach

Rogier van de Wetering, Patrick Mikalef, John Krogstie

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

Abstract

Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no means clear how they support the capacity of firms to purposefully create, extend, or modify their resource bases, i.e., dynamic capabilities (DC). This study extends current literature by exploring and elucidating various contingent big data capabilities, resources, and conditions that lead to the formation of these DCs in today's turbulent business environment. We use a qualitative approach using a cross-interview study method. Hence, we collected data through semi-structured interviews with field domain experts. In total, 27 interviews were held with key and senior informants from different firms. Co-authors analyzed the obtained data through the use of qualitative coding techniques. Our results show that there are various contingent BDAC resource solutions that drive, moderate, and condition the development of DCs. These outcomes also show that no single antecedent condition explains DCs in practice. These insights are important for firms that are becoming more data-driven. Outcomes are valuable for practice as firm executives now have insight into the process and main BDA capabilities they can focus on while planning, initiating, and evolving big data analytics projects and their digital business strategies.
Original languageEnglish
Title of host publication2019 IEEE 21st Conference on Business Informatics (CBI)
Subtitle of host publicationProceedings of a meeting held 15-17 July 2019, Moscow, Russia
PublisherIEEE
Pages268-275
Number of pages8
Volume1
ISBN (Electronic)9781728106502
ISBN (Print)9781728106519
DOIs
Publication statusPublished - 2019
Event21st IEEE Conference on Business Informatics - National Research University Higher School of Economics, Moscow, Russian Federation
Duration: 15 Jul 201917 Jul 2019
Conference number: 21st
http://cbi2019.moscow/

Conference

Conference21st IEEE Conference on Business Informatics
Abbreviated titleIEEE CBI 2019
CountryRussian Federation
CityMoscow
Period15/07/1917/07/19
Internet address

Fingerprint

Industry
Planning
Big data

Keywords

  • Big Data
  • business data processing
  • data analysis
  • strategic planning
  • strategic value creation
  • big data analytics capabilities
  • qualitative coding
  • BDAC resource solutions
  • Dynamic scheduling
  • Computer science
  • Interviews
  • Encoding
  • Investment
  • Big data analytics capabilities, dynamic capabilities, configuration theory, qualitative coding, IT value creation

Cite this

Wetering, R. V. D., Mikalef, P., & Krogstie, J. (2019). Strategic Value Creation through Big Data Analytics Capabilities: A Configurational Approach. In 2019 IEEE 21st Conference on Business Informatics (CBI): Proceedings of a meeting held 15-17 July 2019, Moscow, Russia (Vol. 1, pp. 268-275). IEEE. https://doi.org/10.1109/CBI.2019.00037
Wetering, Rogier van de ; Mikalef, Patrick ; Krogstie, John. / Strategic Value Creation through Big Data Analytics Capabilities : A Configurational Approach. 2019 IEEE 21st Conference on Business Informatics (CBI): Proceedings of a meeting held 15-17 July 2019, Moscow, Russia. Vol. 1 IEEE, 2019. pp. 268-275
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abstract = "Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no means clear how they support the capacity of firms to purposefully create, extend, or modify their resource bases, i.e., dynamic capabilities (DC). This study extends current literature by exploring and elucidating various contingent big data capabilities, resources, and conditions that lead to the formation of these DCs in today's turbulent business environment. We use a qualitative approach using a cross-interview study method. Hence, we collected data through semi-structured interviews with field domain experts. In total, 27 interviews were held with key and senior informants from different firms. Co-authors analyzed the obtained data through the use of qualitative coding techniques. Our results show that there are various contingent BDAC resource solutions that drive, moderate, and condition the development of DCs. These outcomes also show that no single antecedent condition explains DCs in practice. These insights are important for firms that are becoming more data-driven. Outcomes are valuable for practice as firm executives now have insight into the process and main BDA capabilities they can focus on while planning, initiating, and evolving big data analytics projects and their digital business strategies.",
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Wetering, RVD, Mikalef, P & Krogstie, J 2019, Strategic Value Creation through Big Data Analytics Capabilities: A Configurational Approach. in 2019 IEEE 21st Conference on Business Informatics (CBI): Proceedings of a meeting held 15-17 July 2019, Moscow, Russia. vol. 1, IEEE, pp. 268-275, 21st IEEE Conference on Business Informatics , Moscow, Russian Federation, 15/07/19. https://doi.org/10.1109/CBI.2019.00037

Strategic Value Creation through Big Data Analytics Capabilities : A Configurational Approach. / Wetering, Rogier van de; Mikalef, Patrick; Krogstie, John.

2019 IEEE 21st Conference on Business Informatics (CBI): Proceedings of a meeting held 15-17 July 2019, Moscow, Russia. Vol. 1 IEEE, 2019. p. 268-275.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

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AB - Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no means clear how they support the capacity of firms to purposefully create, extend, or modify their resource bases, i.e., dynamic capabilities (DC). This study extends current literature by exploring and elucidating various contingent big data capabilities, resources, and conditions that lead to the formation of these DCs in today's turbulent business environment. We use a qualitative approach using a cross-interview study method. Hence, we collected data through semi-structured interviews with field domain experts. In total, 27 interviews were held with key and senior informants from different firms. Co-authors analyzed the obtained data through the use of qualitative coding techniques. Our results show that there are various contingent BDAC resource solutions that drive, moderate, and condition the development of DCs. These outcomes also show that no single antecedent condition explains DCs in practice. These insights are important for firms that are becoming more data-driven. Outcomes are valuable for practice as firm executives now have insight into the process and main BDA capabilities they can focus on while planning, initiating, and evolving big data analytics projects and their digital business strategies.

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Wetering RVD, Mikalef P, Krogstie J. Strategic Value Creation through Big Data Analytics Capabilities: A Configurational Approach. In 2019 IEEE 21st Conference on Business Informatics (CBI): Proceedings of a meeting held 15-17 July 2019, Moscow, Russia. Vol. 1. IEEE. 2019. p. 268-275 https://doi.org/10.1109/CBI.2019.00037