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Employee perspectives on value realization from data within data-driven business models

Author

Listed:
  • Matthias Förster

    (Friedrich-Alexander University Erlangen-Nuremberg)

  • Bastian Bansemir

    (BMW Group)

  • Angela Roth

    (Friedrich-Alexander University Erlangen-Nuremberg)

Abstract

Firms are innovating data-driven business models (DDBMs) to realize value from data. Yet, making DDBMs work is challenging, and DDBMs often fall short of expected value realization. One reason for this shortfall is that firms do not know how employees, who decisively influence a DDBM’s value realization, view this complex and multi-facetted topic. We think it is necessary to understand the employees’ perspectives, the dimensions that build these perspectives and the characteristics employees are particularly interested in regarding value realization from data. We address this research gap by applying the Q-methodology to examine the perspectives among 70 employees across twelve DDBMs at a German automotive manufacturer. This yields eight perspectives, e.g., data advocacy, data caution or data practical. By exploring these perspectives, we provide a first groundwork on how employees view and appraise value realization from data which adds to the strive for mastering value realization from data within DDBMs.

Suggested Citation

  • Matthias Förster & Bastian Bansemir & Angela Roth, 2022. "Employee perspectives on value realization from data within data-driven business models," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 767-806, June.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:2:d:10.1007_s12525-021-00504-0
    DOI: 10.1007/s12525-021-00504-0
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    Cited by:

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    More about this item

    Keywords

    Data-driven business models; Value realization from data;

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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