Enang, Imowo ORCID: https://orcid.org/0000-0003-1586-2175 and Omeihe, Kingsley Obi (2025) Quantum-driven business analytics: an experimental investigation of performance impact on strategic decision-making. [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.

Item Type:	Working Paper
Uncontrolled Keywords:	quantum driven analytics, decision making
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > Greenwich Online School
Related URLs:	Publisher
Last Modified:	29 Sep 2026 11:48
URI:	https://gala.gre.ac.uk/id/eprint/54467

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