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Organizing data analytics

Alonso, Ricardo ORCID: 0000-0001-9559-0864 and Câmara, Odilon (2024) Organizing data analytics. Management Science, 70 (5). 3123 - 3143. ISSN 0025-1909

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Identification Number: 10.1287/mnsc.2023.00207

Abstract

We develop a theory of credible skepticism in organizations to explain the main tradeoffs in organizing data generation, analysis, and reporting. In our designer-agent-principal game, the designer selects the information privately observed by the agent who can misreport it at a cost, whereas the principal can audit the report. We study three organizational levers: tampering prevention, tampering detection, and the allocation of the experimental-design task. We show that motivating informative experimentation while discouraging misreporting are often conflicting organizational goals. To incentivize experimentation, the principal foregoes a flawless tampering detection/prevention system and separates the tasks of experimental design and analysis.

Item Type: Article
Official URL: https://pubsonline.informs.org/journal/mnsc
Additional Information: © 2023 INFORMS
Divisions: Management
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
JEL classification: D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D80 - General
D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search; Learning; Information and Knowledge; Communication; Belief
M - Business Administration and Business Economics; Marketing; Accounting > M1 - Business Administration > M10 - General
Date Deposited: 17 Nov 2023 12:51
Last Modified: 26 Nov 2024 21:36
URI: http://eprints.lse.ac.uk/id/eprint/120780

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