From Data to Value: Revisiting Business Value Research in the Context of Data Insights-Driven Initiatives

Titelangaben

Feulner, Daniel ; Hofmann, Peter ; Urbach, Nils:
From Data to Value: Revisiting Business Value Research in the Context of Data Insights-Driven Initiatives.
In: Proceedings of the 32nd European Conference on Information Systems (ECIS). - Paphos, Cyprus , 2024

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Abstract

The business value of data-driven insight initiatives (DDII), such as business intelligence or big data analytics, has been primarily studied from a variance perspective, often neglecting the process perspective. Although the variance perspective is well established and identifies key factors or capabilities critical to business value creation, the process perspective can provide explanations of how capabilities lead to business value. For organizations to fully understand how these capabilities impact the value-creation process and to prevent the failure of DDII, there is a need for prescriptive knowledge that encompasses both perspectives. Through a systematic literature review, this paper highlights the variance-focused conceptual landscape of DDII business value research. Based on these findings, along with an analysis of the (process-) explanations for this relationship, we introduce a hybrid explanation model that integrates the insights from both perspectives, thus providing a more comprehensive understanding of the mechanisms by which DDII capabilities lead to business value.