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Organizing data analytics

Alonso, Ricardo and Câmara, Odilon (2023) Organizing data analytics. Management Science. ISSN 0025-1909

[img] Text (Organizing Data Analytics_2023_05_26) - Accepted Version
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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
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: 05 Feb 2024 14:06
URI: http://eprints.lse.ac.uk/id/eprint/120780

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