Dataset for "From Rationality to Intuition: The Effect of Business Intelligence Information Uncertainty on Decision-Making Processes"
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TitleBusiness Intelligence Information Uncertainty and Decision-Making: Experimental Dataset and OutputsDescription (Summary)This repository contains the raw and processed data from an experimental study investigating how different levels of Business Intelligence (BI) information uncertainty influence decision-making styles (intuitive vs. rational), and the moderating effect of user experience. The experiment involved 72 professionals and used scenario-based vignettes to simulate varying levels of uncertainty.Included in the archive are:SurveyResponses.sav: Raw data from participant responses, originally collected in French, with variable labels aligned to the manuscript.SPSS output files grouped by analysis type:Reliability analyses (Cronbach's alpha)Normality testsWilcoxon and Friedman testsModeration and correlation analysisREADME_BI_Decision_Uncertainty.md: Provides an overview of the dataset structure, English variable names, Likert coding, and the mapping of computed variables to hypotheses Ha, Hb, and Hc.All statistical output files are labeled in French; an accompanying README provides translations and interpretations.This dataset supports the findings reported in the article: From Rationality to Intuition: The Effect of Business Intelligence Information Uncertainty on Decision-Making Processes by Anas El Ouarzadi and Karim Charaf (2025).KeywordsBusiness IntelligenceDecision-MakingInformation UncertaintyIntuitionRationalityExperimental StudySPSSDual-Process TheoryUser ExperienceBehavioral Decision-MakingAuthorsAnas El OuarzadiResearcher, ISCAE Business School – Laboratory of Finance and Management ControlEmail: [email protected] CharafProfessor and Director, Doctoral Center, ISCAE Business SchoolRecommended Citation[dataset] El Ouarzadi, A., & Charaf, K. (2025). Business Intelligence Information Uncertainty and Decision-Making: Experimental Dataset and Outputs. Zenodo. https://doi.org/10.5281/zenodo.15161414
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Publication Details
Subfield
Statistics, Probability and Uncertainty
Field
Decision Sciences
Domain
Social Sciences
Confidence Score
54%
Source
Scholar Data Model