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

被引：0
|
作者：
Tripathi, Shailesh [1 ]
Bachmann, Nadine [1 ,2 ]
Brunner, Manuel [1 ,3 ]
Jodlbauer, Herbert [1 ]
机构：
[1] Univ Appl Sci Upper Austria, Josef Ressel Ctr Data Driven Business Model Innova, Wehrgrabengasse 1-3, A-4400 Steyr, Austria
[2] Univ Twente, Fac Behav Management & Social Sci, Entrepreneurship & Technol Management, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands
[3] Aix Marseille Univ, CRET LOG Ctr Rech Transport & Logist, Ave Gaston Berger 413, F-13625 Aix En Provence, France
来源：
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 08期
关键词：
business model innovation; data-driven technology; incumbent manufacturer; knowledge framework; topic modeling; thematic synthesis; DIGITAL TRANSFORMATION; BIG DATA; INDUSTRY; 4.0; INTERNET; THINGS; SERVITIZATION; INTELLIGENCE; TECHNOLOGIES; ANALYTICS; COMPANIES;
D O I：
10.3390/app14083454
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
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.
引用
收藏
页数：25
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