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A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects.

Autor(en):



Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: IOP Conference Series: Earth and Environmental Science, , n. 1, v. 1067
Seite(n): 012073
DOI: 10.1088/1755-1315/1067/1/012073
Abstrakt:

BIM is a collaborative platform that involves several technologies and tools which transform the construction process from traditional methods into a digital representation. However, the implementation of this technology in Malaysia has faced many issues and challenges, including the productivity and overall project implementation performance. The objective of this research is to determine the relationship of BIM implementation factors on job performance. A total population of 242 professionals which consist of architects, engineers, and quantity surveyors that involved in public project, were chosen using a stratified sampling method and were used as the research sample. Data were collected using the questionnaire method and distributed through Google Form. The research findings from the hierarchical multiple regression found that the four factors studied, namely commitment and knowledge, culture orientation, ICT utilization, and collaborative synergy have a significant positive relationship with job performance. Nonetheless, the research findings are unable to confirm the relationship of the other two variables, which are digital skills and management support. This research has implications for the related theories, professionals in the industry, top management, and other researchers.

Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 3.0 (CC-BY 3.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10780561
  • Veröffentlicht am:
    12.05.2024
  • Geändert am:
    12.05.2024
 
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