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Structural equation model of project planning effectiveness

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  • M. D. Mainul Islam
  • Olusegun Faniran

Abstract

Previous research studies investigating the impact of situational variables on project planning effectiveness have not examined how the situational variables work together to influence planning effectiveness. A structural equation model (SEM) has been developed for describing and quantifying the influence of situational factors in project environments and organizational characteristics of performing organizations on project planning effectiveness. The individual effects of directly-observable variables on the project planning process were evaluated using regression analysis. The SEM approach enables the modelling of multiple factors as latent not-directly-measurable variable sets, thus providing a theoretical insight into how individual influence factors work together to determine the effectiveness of project planning efforts. The project environment has a dominant significant influence on the potential effectiveness of project planning efforts. In contrast, the influence of organizational characteristics is relatively insignificant.

Suggested Citation

  • M. D. Mainul Islam & Olusegun Faniran, 2005. "Structural equation model of project planning effectiveness," Construction Management and Economics, Taylor & Francis Journals, vol. 23(2), pages 215-223.
    • Handle: RePEc:taf:conmgt:v:23:y:2005:i:2:p:215-223
    DOI: 10.1080/0144619042000301384
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    Cited by:

    1. Jinping Lin & Meiqi Zhou & Huasong Luo & Bowen Zhang & Jiajia Feng & Qi Yi, 2022. "Analysis of the Emotional Identification Mechanism of Campus Edible Landscape from the Perspective of Emotional Geography: An Empirical Study of a Chinese University Town," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    2. Chien-Liang Lin & Chen-Huu Jeng, 2017. "Exploring Interface Problems in Taiwan’s Construction Projects Using Structural Equation Modeling," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    3. Nobuki Hashiguchi & Jianfei Cao & Yeongjoo Lim & Yasushi Kubota & Shigeo Kitahara & Shuichi Ishida & Kota Kodama, 2020. "The Effects of Psychological Factors on Perceptions of Productivity in Construction Sites in Japan by Worker Age," IJERPH, MDPI, vol. 17(10), pages 1-18, May.
    4. Christian Tabi Amponsah & Samuel Adams, 2017. "Open Innovation: Systematisation Of Knowledge Exploration And Exploitation For Commercialisation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1-26, April.
    5. Mehreen Saleem Gul & Elmira NezamiFar, 2020. "Investigating the Interrelationships among Occupant Attitude, Knowledge and Behaviour in LEED-Certified Buildings Using Structural Equation Modelling," Energies, MDPI, vol. 13(12), pages 1-26, June.
    6. Qiuxian Hu & Leibao Zhang & Wenyu Zhang & Shuai Zhang, 2020. "Empirical Study on the Evaluation Model of Public Satisfaction With Local Government Budget Transparency: A Case From China," SAGE Open, , vol. 10(2), pages 21582440209, May.
    7. Hemanta Doloi & Anil Sawhney & K.C. Iyer, 2012. "Structural equation model for investigating factors affecting delay in Indian construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 30(10), pages 869-884, October.
    8. Muhammad Dawood Idrees & Maria Hafeez & Jung-Yong Kim, 2017. "Workers’ Age and the Impact of Psychological Factors on the Perception of Safety at Construction Sites," Sustainability, MDPI, vol. 9(5), pages 1-15, May.

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