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When decision support systems fail: insights for strategic information systems from Formula

Aversa, P., Cabantous, L. and Haefliger, S. (2018). When decision support systems fail: insights for strategic information systems from Formula. The Journal of Strategic Information Systems, doi: 10.1016/j.jsis.2018.03.002


Decision support systems (DSS) are sophisticated tools that increasingly take advantage of big data and are used to design and implement individual - and organization - level strategic decisions . Yet, when organizations excessively rely on their potential the outcome may be decision - making failure, particularly when such tools are applied under high pressure and turbulent conditions. Partial understanding and unidimensional interpretation can prevent learning from failure. Building on a practice perspective, we study an iconic case of strategic failure in Formula 1 racing. Our approach, which integrates the decision maker as well as the organizational and material context , identifies three interrelated sources of strategic failure that are worth investigation for decision - makers using DSS and big data: (1) t he situated nature and affordances of decision - making ; (2) t he distributed nature of cognition in decision - making; and (3) the performativity of the DSS. We outline specific research questions and their implications for firm performance and competitive advantage. Finally, we advance an agenda that can help close timely gaps in strategic IS research.

Publication Type: Article
Additional Information: © 2018 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Publisher Keywords: DSS, affordances, big data, strategic information system, decision-making, distributed cognition, performativity, practice theory, Ferrari, Formula 1
Departments: Cass Business School > Management
[img] Text - Accepted Version
This document is not freely accessible until 16 April 2020 due to copyright restrictions.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

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