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

Matthias Förster (), Bastian Bansemir () and Angela Roth ()
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Matthias Förster: Friedrich-Alexander University Erlangen-Nuremberg
Bastian Bansemir: BMW Group
Angela Roth: Friedrich-Alexander University Erlangen-Nuremberg

Electronic Markets, 2022, vol. 32, issue 2, No 24, 767-806

Abstract: 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.

Keywords: Data-driven business models; Value realization from data (search for similar items in EconPapers)
JEL-codes: L62 O32 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s12525-021-00504-0

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