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Preparedness for Data-Driven Business Model Innovation: A Knowledge Framework for Incumbent Manufacturers.

Authors :
Tripathi, Shailesh
Bachmann, Nadine
Brunner, Manuel
Jodlbauer, Herbert
Source :
Applied Sciences (2076-3417); Apr2024, Vol. 14 Issue 8, p3454, 25p
Publication Year :
2024

Abstract

This study investigates data-driven business model innovation (DDBMI) for incumbent manufacturers, underscoring its importance in various strategic and managerial contexts. Employing topic modeling, the study identifies nine key topics of DDBMI. Through qualitative thematic synthesis, these topics are further refined, interpreted, and categorized into three levels: Enablers, value creators, and outcomes. This categorization aims to assess incumbent manufacturers' preparedness for DDBMI. Additionally, a knowledge framework is developed based on the identified nine key topics of DDBMI to aid incumbent manufacturers in enhancing their understanding of DDBMI, thereby facilitating the practical application and interpretation of data-driven approaches to business model innovation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
14
Issue :
8
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
176881265
Full Text :
https://doi.org/10.3390/app14083454