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Paper Type
ERF
Description
Data monetization as a service (DMaaS) is a new term in both academia and practice. DMaaS seeks to marry data monetization with servitization and has become important with the advent of technologies such as big data, cloud computing and blockchain. As organizations seek to stand up infrastructure for data monetization, an architecture for DMaaS provides them with a starting point to develop data monetization platforms. This is an area that has been largely unexplored. Therefore, in this paper we leverage the service dominant logic perspective and research on data related services architecture to develop a tentative design for DMaaS. This study is among the first that explore architecture for DMaaS, thus identifying platform layers and services as a base for further architecture development and refinement.
Paper Number
1028
Recommended Citation
Ofulue, Joan and Benyoucef, Morad, "Towards an Architecture for Data Monetization as a Service" (2023). AMCIS 2023 Proceedings. 6.
https://aisel.aisnet.org/amcis2023/eco_systems/eco_systems/6
Towards an Architecture for Data Monetization as a Service
Data monetization as a service (DMaaS) is a new term in both academia and practice. DMaaS seeks to marry data monetization with servitization and has become important with the advent of technologies such as big data, cloud computing and blockchain. As organizations seek to stand up infrastructure for data monetization, an architecture for DMaaS provides them with a starting point to develop data monetization platforms. This is an area that has been largely unexplored. Therefore, in this paper we leverage the service dominant logic perspective and research on data related services architecture to develop a tentative design for DMaaS. This study is among the first that explore architecture for DMaaS, thus identifying platform layers and services as a base for further architecture development and refinement.
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SIG DataEcoSys