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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number3454
JournalApplied Sciences (Switzerland)
Volume14
Issue number8
DOIs
Publication statusPublished - Apr 2024

Keywords

  • business model innovation
  • data-driven technology
  • incumbent manufacturer
  • knowledge framework
  • thematic synthesis
  • topic modeling

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