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Quantifying heterogeneous individual perceptions in project management research

David C. Hackman (School of Project Management, The University of Sydney, Sydney, Australia)

International Journal of Managing Projects in Business

ISSN: 1753-8378

Article publication date: 17 February 2021

Issue publication date: 6 July 2021

363

Abstract

Purpose

This article introduces the best-worst scaling object case, a quantitative method of producing individual level models of heterogeneous perceptions, for use in behavioural decision making research in projects. Heterogeneous individual perceptions refer to observed or unobserved differences between individual perceptions that impact the outcome being studied. Individual level models of perceptions are important to account for the impact of heterogeneous perceptions on measurement tasks, so they do not become an unobserved source of variance that potentially biases research inferences.

Design/methodology/approach

An overview of individual heterogeneity is provided highlighting the requirement for individual level models in quantitative perception measurements. A literature review is then conducted of the quantitative methods and tasks used to measure perceptions in behavioural decision making research in projects and their potential to produce individual level models.

Findings

The existing quantitative methods cannot produce the necessary individual level models primarily due to the inability to address individual level scale effects, responses styles and biases. Therefore, individual heterogeneity in perceptions can become an unobserved source of variance that potentially biases research inferences.

Practical implications

A method new to project management research, the best-worst scaling object case, is proposed to produce individual level models of heterogeneous perceptions. Guidance on how to implement this method at the individual level is provided along with a discussion of possible future behavioural decision making research in projects.

Originality/value

This article identifies a largely unacknowledged measurement limitation of quantitative behavioural decision making research in projects and provides a practical solution: implementing the best-worst scaling object case at the individual level.

Keywords

Acknowledgements

The author gratefully acknowledges the feedback on this article from Associate Professor Julien Pollack and Professor Jordan Louviere.

Citation

Hackman, D.C. (2021), "Quantifying heterogeneous individual perceptions in project management research", International Journal of Managing Projects in Business, Vol. 14 No. 5, pp. 1163-1184. https://doi.org/10.1108/IJMPB-04-2020-0114

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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