Towards data-driven decision making

Szukits, Ágnes ORCID: and Móricz, Péter ORCID: (2023) Towards data-driven decision making. Review of Managerial Science . DOI

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The surge in data-related investments has drawn the attention of both managers and academia to the question of whether and how this (re)shapes decision making routines. Drawing on the information processing theory of the organization and the agency theory, this paper addresses how putting a strategic emphasis on business analytics supports an analytical decision making culture that makes enhanced use of data in each phase of the decision making process, along with a potential change in authorities resulting from shifts in information asymmetry. Based on a survey of 305 medium-sized and large companies, we propose a multiple-mediator model. We provide support for our hypothesis that top management support for business analytics and perceived data quality are good predictors of an analytical culture. Furthermore, we argue that the analytical culture increases the centralization of data use, but interestingly, we found that this centralization is not associated with data-driven decision making. Our paper positions a long-running debate about information technology-related centralization of authorities in the new context of business analytics.

Item Type:Article
JEL classification:M10 - Business Administration: General
M15 - IT Management
Divisions:Institute of Strategy and Management
Subjects:Decision making
Management, business policy, business strategy
ID Code:9246
Deposited By: MTMT SWORD
Deposited On:09 Oct 2023 08:15
Last Modified:09 Oct 2023 08:15

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