Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
MUST Repository
  • Communities & Collections
  • All of MUST Repository
  1. MUST-IR Home
  2. Browse by Author

Browsing by Author "Shengeza,J"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Validation of the Developed Structural Equation Model on Factors Influencing Artisans' Performance in Tanzanian Building Construction Projects
    (Mbeya University of Science and Technology, 2023-12-02) Shengeza,J; Msambichaka, J
    Artisans are key players in the construction industry. Artisans, in conjunction with other players, are responsible for turning drawings into tangible structures using materials and equipment. However, several reports suggest that their performance is inadequate, attributing it to poor workmanship and productivity. This study explores the Influencing Factors (IFs) for artisan performance and how disregarding these IFs leads to poor performance through the development of Structural Equation Modelling (SEM). The study focuses on validating the developed SEM on IFs categorised as Informal Training Factors (IF), Motivational Factors (MF), Qualification Factors (QF), and Formal Training Factors (FF) and their impacts regarding achievements of workmanship and productivity by artisans when disregarded. The study validates the SEM model using a questionnaire distributed among construction industry experts. The study results demonstrate that disregarding IFs has a high, negative impact on artisan performance. Specifically, IF was found to have the most significant effect on artisan performance when ignored, with a mean score of 4.09, followed by MF = 4.00, Q = 3.82, and FF = 3.55. In the case of the model's applicability, effectiveness, and adaptability, the mean scores were 4.00, 3.55, and 3.45, respectively, indicating that the construct depicted in the model is highly applicable. The study concludes that considering IFs for artisan performance is crucial for addressing the root causes of poor performance and improving project success in the construction industry.

Copyright © 2025

    Mbeya University of Science and Technology