Quantum-Driven Business Analytics: An Experimental Investigation of Performance Impact on Strategic Decision-Making

Imo Enang, Kingsley Omeihe

Research output: Working paper

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Abstract

This working paper presents the results of an experimental study investigating the performance
impacts of quantum computing approaches on business analytics and strategic decision
making. While the theoretical benefits of quantum computing for complex business problems
have been explored, empirical evidence of measurable performance advantages remains scarce. Our research addresses this knowledge gap through a series of controlled laboratory experiments comparing classical and quantum-inspired optimisation algorithms. Using a mixed factorial experimental design with 124 professional participants from 28 organisations, our results demonstrate statistically significant advantages of quantum-inspired approaches for large-scale, complex optimisation problems with high dimensionality and multiple constraints. We present an integrated framework for quantum advantage in business analytics that maps specific business problem characteristics to quantum computing approaches. The paper concludes with practical recommendations for organisations considering quantum-inspired analytics investments, as well as a research agenda addressing key challenges for broader quantum computing adoption in business contexts.
Original languageEnglish
PublisherTransformative Enterprise Research Group [TERG], University of West Scotland
Publication statusPublished - Mar 2025

Publication series

NameTERG Working Paper Series
Volume24

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