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

Title data

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 in another language

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.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Business Value; Big Data Analytics; Artificial Intelligence; Hybrid Model
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	15 Aug 2024 05:27
Last Modified:	28 Oct 2024 13:13
URI:	https://eref.uni-bayreuth.de/id/eprint/90205