Start Date
11-12-2016 12:00 AM
Description
Business digitization has become an important topic in both management practice and academic research. The purpose of this research is to further illuminate and describe the conditions under which a digital business strategy can contribute to achieving strategic advantages. Drawing on configuration theory and using a configurational approach based on fuzzy-set Qualitative Comparative Analysis (fsQCA), we explore configurations of digital business strategy, factors related to firms' market approaches, and environmental factors to explain superior market performance. The findings of our study indicate four distinct configurations that differ in their particular composition, but that are consistently sufficient pathways for high market performance. Knowledge of these configurations deepens the understanding of the complex causal patterns among key elements of digital ecodynamics and provides strategic choices for management practice.
Recommended Citation
Leischnig, Alexander; Wölfl, Steffen; and Ivens, Björn, "When Does Digital Business Strategy Matter to Market Performance?" (2016). ICIS 2016 Proceedings. 13.
https://aisel.aisnet.org/icis2016/ISStrategy/Presentations/13
When Does Digital Business Strategy Matter to Market Performance?
Business digitization has become an important topic in both management practice and academic research. The purpose of this research is to further illuminate and describe the conditions under which a digital business strategy can contribute to achieving strategic advantages. Drawing on configuration theory and using a configurational approach based on fuzzy-set Qualitative Comparative Analysis (fsQCA), we explore configurations of digital business strategy, factors related to firms' market approaches, and environmental factors to explain superior market performance. The findings of our study indicate four distinct configurations that differ in their particular composition, but that are consistently sufficient pathways for high market performance. Knowledge of these configurations deepens the understanding of the complex causal patterns among key elements of digital ecodynamics and provides strategic choices for management practice.