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Developing future managers through business simulation gaming in the UK and Hong Kong: exploring the interplay between cognitive realism, decision-making and performance

Lean, J, Newbery, R, Moizer, J, Haddoud, M and Lim, WM (2023) Developing future managers through business simulation gaming in the UK and Hong Kong: exploring the interplay between cognitive realism, decision-making and performance. Internet Research, 34 (4). pp. 1273-1292. ISSN 1066-2243

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Abstract

Purpose This paper investigates how individuals' decision-making approach and perceptions of a game's cognitive realism affect the performance of virtual businesses in a web-based simulation game. Design/methodology/approach Survey data are collected from 274 business simulation game users and is analysed using the fsQCA technique. Findings The study identifies three alternative pathways to high and low performance in a business simulation game. Results indicate that a flexible decision-making approach exists in all high performance pathway solutions. Where a game is perceived to be realistic, a more focused decision-making approach is associated with high performance. However, where perceived cognitive realism is absent, a less focused experimental decision-making approach is employed, which increases the chances to achieve low performance. Finally, perceived cognitive realism and an experimental decision-making approach are found to be mutually exclusive for achieving high performance. Originality/value Whilst the learning benefits of web-based simulation games are widely acknowledged, the complex interplay amongst factors affecting performance in games is under-researched. Limited research exists on how perceptions of a game's cognitive realism interact with user decision-making approaches to affect performance.

Item Type: Article
Additional Information: This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.com
Uncontrolled Keywords: Behavioral and Social Science; 08 Information and Computing Sciences; Marketing
Subjects: H Social Sciences > HF Commerce > HF5001 Business
T Technology > T Technology (General)
Divisions: Liverpool Business School
Publisher: Emerald
SWORD Depositor: A Symplectic
Date Deposited: 17 Dec 2024 16:27
Last Modified: 17 Dec 2024 16:30
DOI or ID number: 10.1108/intr-03-2022-0213
URI: https://researchonline.ljmu.ac.uk/id/eprint/25012
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