Designing a business model classification framework for health data marketplaces

Mohammadnezhad Chari, Fatemeh; Bamdadsoofi, Jahanyar; Raeesi Vanani, Iman; Amiri, Maghsood

doi:10.22034/jtd.2024.2011911.1887

Designing a business model classification framework for health data marketplaces

Document Type : Research Paper

Authors

Fatemeh Mohammadnezhad Chari ¹

Jahanyar bamdadsoofi ²

Iman Raeesi Vanani ³

Maghsood Amiri ³

¹ PhD student in industrial management, management and accounting faculty, Allameh Tabatabai' university

² Member of the Faculty of Management and Accounting, Allameh Tabatabai University

³ Faculty member of management and accounting, Allameh Tabatabai' university

10.22034/jtd.2024.2011911.1887

Abstract

Data marketplaces are the digital platforms on which data providers and buyers exchange data and the marketplace supports the security of transactions and also ensures the execution of payments while the privacy preservation of the users is guaranteed. This study aimed to design a business model classification framework for health data marketplaces. To do so, a relevant business model ontology framework named STOF was selected as a conceptual framework to conduct a taxonomy introduced by Nickerson (2013). Finally, a business model classification framework including 22 dimensions and 84 specifications grouped under 4 construct blocks of S, T, O, and F was generated. The findings of this study can promote the knowledge on health data marketplaces business models on one hand, and on the other hand researchers and practitioners can conduct their researches or businesses using the suggested framework.

Keywords

health data marketplace

business model classification

taxonomy

Subjects

Technology development strategy

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