Exploring Data Monetization in Established Organizations: a Dynamic Capability Approach

Sahar Mirbagherimarvili*, Hadi Ghanbari, Matti Rossi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Abstract

The exponential growth of data, together with the increasing importance of analytics in a wide range of contexts, has given rise to data monetization, a phenomenon in which data and data-based offerings are traded for monetary value. Data monetization is relevant for established organizations since they often generate significant amounts of data which provides them with many opportunities for added revenue streams. Previous research shows that incumbents are falling short in harnessing this potential either because of the lack of knowledge of data-based business models or insufficient resources and capabilities. There is a paucity of research on how incumbents could develop such capabilities to successfully sell data and data-based offerings. To fill this gap, we conducted a multiple case study to explore what kind of capabilities are required by established organizations to successfully sell data. The paper contributes to the evolving discourse on data monetization by providing a new understanding of the required capabilities for selling data from the dynamic capability perspective.
Original languageEnglish
Title of host publicationHawaii International Conference on System Sciences
PublisherHawaii International Conference on System Sciences
Pages4288-4297
Number of pages10
ISBN (Electronic)978-0-9981331-7-1
Publication statusPublished - 3 Jan 2024
MoE publication typeA4 Conference publication
EventAnnual Hawaii International Conference on System Sciences - Honolulu, United States
Duration: 3 Jan 20246 Jan 2024
Conference number: 57
https://hdl.handle.net/10125/102456

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Electronic)2572-6862

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
Abbreviated titleHICSS
Country/TerritoryUnited States
CityHonolulu
Period03/01/202406/01/2024
Internet address

Keywords

  • Data monetization
  • selling data
  • selling data-based services
  • analytics
  • Dynamic capability

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