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Towards a reconceptualization of data in organizations: a literature review

2023 | European Conference On Information Systems | Citations: 0
Authors: Xu, Daisy; Someh, Ida Asadi; Indulska, Marta

Abstract: Information Systems researchers have sought to demonstrate the strategic value ... Expand

Abstract: Information Systems researchers have sought to demonstrate the strategic value of data in organizations through robust evidence. Over time, the ways data benefit organizations have evolved and become more diverse, yet definitions of data and their value propositions have not kept up and remain disconnected. The field still lacks clear understanding of various roles data play in organizations and how to define them. This paper presents a comprehensive review of related literature in the Information Systems and Management fields from the past two decades. We first conduct a systematic literature search and organize them into key research themes by the purpose of data use. We then propose a reconceptualization of data that takes into account their distinct features. Our aim is to provide an explanation for the unique nature of data and the diverse sources of their value in organizations. Collapse

Semantic filters: data monetization exploratory study

Topics: decision making value creation business process management innovation management organizational context

Methods: literature study design artifact literature sample synthesis theory development
Advancing Data Monetization and the Creation of Data-based Business Models
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2020 | Communications of the Association for Information Systems | Citations: 0
Authors: Aalto University; Parvinen, Petri; Pöyry, Essi; University of Helsinki; Gustafsson, Robin; Aalto University; Laitila, Miikka; Futurice; Rossi, Matti; Aalto University

Abstract: Although researchers have discussed big data for years, they have thus far has s ... Expand

Abstract: Although researchers have discussed big data for years, they have thus far has scarcely touched on directly selling and monetizing data assets. This aspect has particular relevance given recent concerns about data privacy and security and the simultaneous explosion in the use of data for marketing and service-development purposes. In this paper, we describe an empirical study on companies’ initiatives about selling and monetizing data. We categorize the relevant business models based on several customer-refinement and scalability dimensions. We found several constraints (organization type, business type, data characteristics, privacy, and security) that companies should address to move from internally using data and supporting existing customers to generating new business through selling data. Based on the findings, we propose ways for practitioners to benefit from the data. For researchers, we provide directions for future studies that include developing strategies that foster compliance between companies’ aspirations and consumer/societal restrictions and that facilitate data-based innovation and revenue generation. Collapse

Semantic filters: data monetization exploratory study

Topics: data monetization business model privacy business-to-consumer legal context

Methods: qualitative interview qualitative coding personal interview experiment business process modeling

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Towards a reconceptualization of data in organizations: a literature review

Advancing Data Monetization and the Creation of Data-based Business Models