Data Monetization Challenges in Established Organizations: A Systematic Literature Review

Sahar Mirbagherimarvili*, Hadi Ghanbari, Matti Rossi

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

123 Lataukset (Pure)


Over the last decades, researchers and practitioners have looked at data as a valuable asset for improving business processes in organizations. However, nowadays, they see data more as a tradable asset that can be monetized. Data monetization here refers to generating revenue from selling data and data-based products and services. Despite providing opportunities for generating new revenue streams, data monetization is not without challenges, especially in established organizations. Previous research shows that an organization’s data monetization capability is constrained by its existing business model, infrastructure, and organizational culture. Although Information Systems (IS) research and practice have shown an increasing interest in data monetization, we lack a thorough understanding of its challenges. As a first step in addressing this gap, we set out to identify challenges that established organizations face in monetizing their data. To that end, we conducted a systematic literature review and identified 21 challenges reported in the extant literature. Based on their nature, we divided these challenges into five categories, including business model, legal & regulatory, security & privacy, organizational, and data management challenges. Our study has several implications for IS research and practice.
OtsikkoProceedings of 13th Scandinavian Conference on Information Systems
KustantajaAssociation for Information Systems
ISBN (elektroninen)978-87-7949-000-0
TilaJulkaistu - 9 elok. 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaScandinavian Conference on Information Systems - Helsinge, Tanska
Kesto: 13 elok. 202216 elok. 2022
Konferenssinumero: 13


ConferenceScandinavian Conference on Information Systems


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