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The Impact of Leadership Styles on Government Construction Project Success: A Structural Equation Modelling Approach

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  • Kasimu Ssenyange

Abstract

Purpose: The article aims to provide a more informed and empirically based image of leadership styles and government construction project success, using structural equation modeling. Design/Methodology/Approach: The study adopted a cross-sectional with a quantitative research design where a self-administered questionnaire was used to collect. Data was analyzed using SPSS and Structural Equation Modelling (SEM) was used to evaluate the relationships among the set of variables as well as develop a model that explains the success of government construction projects. Findings: Leadership styles contribute to government construction project success. More specifically when project leaders allow stakeholders’ participation and communicate effectively about project tasks, goals, strategies, and processes they are able to enhance the stakeholders’ levels of commitment, trust, and cooperation that enable them to execute timely, cost-effective, and quality government construction projects. Practical Implications: Theoretically, the study contributes to the body of literature concerning the relationship between leadership styles and government project success. For managers of government construction projects and stakeholders, since leadership styles contribute to government construction projects’ success, project managers should ensure that there is adequate internal and external communication with stakeholders through the right channels. Originality/Value: The study examined leadership styles in terms of participation and communication, while future research can examine leadership styles by focusing on laissez-faire, achievement-oriented leadership, and autocratic leadership.

Suggested Citation

  • Kasimu Ssenyange, 2023. "The Impact of Leadership Styles on Government Construction Project Success: A Structural Equation Modelling Approach," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 13(3), pages 50-75.
    • Handle: RePEc:ers:ijfirm:v:13:y:2023:i:3:p:50-75
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    References listed on IDEAS

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    More about this item

    Keywords

    Leadership; construction projects; cross-sectional analysis.;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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