Structuring Information Management Capability to Build Data Monetization: a Conceptual Model

EasyChair Preprint no. 9080

Abstract

The organizations that want to successfully monetize data need to build and consolidate data science capabilities and skills. However, the ability to create value and monetize data is still relatively underexplored in the IS literature. Given the importance of resources and abilities for the generation of data monetization capabilities, we develop a conceptual model based on Resource-based View (RBV) and Dynamic Capabilities (DC) theories to examine the resources necessary to develop Information Management and Data Monetization Capabilities to enhance Business Performance. Based on the IS literature, we developed a set of hypotheses about the capabilities and resources that facilitate data monetization. The paper provides an understanding of the elements that are still incipient in the data monetization literature, being recommended to both IS academics and practitioners. We expect this model can help organizations to identify and analyze what types of skills should be combined for the monetization process and also help them to develop Information Management and Data Monetization Capabilities, leading data-driven organizations to effectively monetize their data in order to improve their business performance.

Keyphrases: business performance, Capability, Data Monetization, information management capability

@Booklet{EasyChair:9080,
  author = {Cláudia Maia and Antônio Carlos Maçada and Guilherme Lunardi},
  title = {Structuring Information Management Capability to Build Data Monetization: a Conceptual Model},
  howpublished = {EasyChair Preprint no. 9080},

  year = {EasyChair, 2022}}