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Description
Notwithstanding the ubiquitous notion of the ‘digital mindset’ as a central way of thinking in digitalization, the literature lacks an unambiguous and integrative definition that allows further conceptualization of the phenomenon in a detailed manner. This paper defines and conceptualizes the digital mindset in a digital innovation context by an integration of different psychological perspectives and systematic analysis of digital innovation literature, cross-validated through an inductive expert survey (n=50). As a result, a coherent definition and conceptualization with 11 thinking patterns contribute to the research of the human side of digitalization and pave the way for future research avenues. Concluding our work, we highlight overlaps and draw parallels to related theoretical IS concepts and link our results to extant findings of IS research.
Recommended Citation
Hildebrandt, Yannick and Beimborn, Daniel, "A Cognitive Conveyor for Digital Innovation - Definition and Conceptualization of the Digital Mindset" (2022). Wirtschaftsinformatik 2022 Proceedings. 12.
https://aisel.aisnet.org/wi2022/digital_business_models/digital_business_models/12
A Cognitive Conveyor for Digital Innovation - Definition and Conceptualization of the Digital Mindset
Notwithstanding the ubiquitous notion of the ‘digital mindset’ as a central way of thinking in digitalization, the literature lacks an unambiguous and integrative definition that allows further conceptualization of the phenomenon in a detailed manner. This paper defines and conceptualizes the digital mindset in a digital innovation context by an integration of different psychological perspectives and systematic analysis of digital innovation literature, cross-validated through an inductive expert survey (n=50). As a result, a coherent definition and conceptualization with 11 thinking patterns contribute to the research of the human side of digitalization and pave the way for future research avenues. Concluding our work, we highlight overlaps and draw parallels to related theoretical IS concepts and link our results to extant findings of IS research.