Platform Adoption Strategies for Business-to-Business Firms

Motivated by a lack of research on the emergence and adoption of digital platforms in business-to-business (B2B) contexts, this research-in-progress investigates how organisations navigate this crucial entry point into the platform economy. Acknowledging that well-researched principles and concepts from the business-to-consumer (B2C) realm cannot be perfectly transferred to the B2B context, this study utilises a grounded theory approach to derive platform adoption strategies from empirical data. We propose two constraints (need for neutrality / need for external resources), which result in four distinct types of digital platform entry strategies, i.e., business model re-positioning, joint venture, start-up, and interest group. The characteristics partly confirm prior research, but also provide new insights for further investigation.

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-06-18
Primary Topic
Particle Detector Development and Performance
Type
article
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article

Platform Adoption Strategies for Business-to-Business Firms

Journal of the Association for Information Systems
Particle Detector Development and Performance
article

Platform Adoption Strategies for Business-to-Business Firms

article en

Abstract

Motivated by a lack of research on the emergence and adoption of digital platforms in business-to-business (B2B) contexts, this research-in-progress investigates how organisations navigate this crucial entry point into the platform economy. Acknowledging that well-researched principles and concepts from the business-to-consumer (B2C) realm cannot be perfectly transferred to the B2B context, this study utilises a grounded theory approach to derive platform adoption strategies from empirical data. We propose two constraints (need for neutrality / need for external resources), which result in four distinct types of digital platform entry strategies, i.e., business model re-positioning, joint venture, start-up, and interest group. The characteristics partly confirm prior research, but also provide new insights for further investigation.

Journal of the Association for Information Systems
Johannes Kepler University of Linz (AT), Kepler Universitätsklinikum (AT)
Openalex Percentile: Top 60%
Particle Detector Development and Performance
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