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Project management self-efficacy as a predictor of project performance: Constructing and validating a domain-specific scale
Umeå university, Sweden.
Umeå university, Sweden.ORCID iD: 0000-0001-8185-6879
Athabasca University, Canada.
2016 (English)In: International Journal of Project Management, ISSN 0263-7863, E-ISSN 1873-4634, Vol. 34, no 8, p. 1417-1432Article in journal (Refereed) Published
Abstract [en]

Measures of self-efficacy beliefs have been shown to be the best predictor of individual performance in many disciplines over 30 years. This makes measures of perceived self-efficacy a good indicator for those interested in hiring for, or improving specific skill sets. In project management, measuring the skill level of project managers is an important practical and academic question. Practically, hiring managers and program managers, needs an indicator of performance to help select the most appropriate project managers for each project. Academically, a common, established scale to measure project management self-efficacy would provide a tool for improving project management training and education, and increasing the comparability of research results across samples, industries and project results. This paper presents the construction and validation of a set of domain-specific, project management self-efficacy scales and provides evidence of its ability to predict project performance.

Place, publisher, year, edition, pages
2016. Vol. 34, no 8, p. 1417-1432
Keywords [en]
Self-efficacy, Project management, Project performance, Scale development, Business Administration, Företagsekonomi
National Category
Business Administration
Research subject
Working Life Studies; Industrial Economics and Organisations
Identifiers
URN: urn:nbn:se:mdh:diva-43062DOI: 10.1016/j.ijproman.2016.07.010ISI: 000388247600001Scopus ID: 2-s2.0-84984650222OAI: oai:DiVA.org:mdh-43062DiVA, id: diva2:1303969
Available from: 2019-04-11 Created: 2019-04-11 Last updated: 2020-01-22Bibliographically approved

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Dehghanpour Farashah, Ali

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Output format
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  • asciidoc
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