Abstract
This paper seeks to provide further understanding of issues surrounding acceptance of e-procurement by contractors in the Malaysian Construction Industry. The Unified Theory of
Acceptance and Use of Technology (UTAUT) model by Venkatesh et al. (2003) was employed to determine the strength of predictors for contractors to accept and use e-procurement. Questionnaires were administered to 115 contractors, during seminars and workshops organized
by CIDB. Analysis of Moments Structures (AMOS) 24 and Statistical Package for the Social Sciences (SPSS) 24 were used to analyze the data collected. The measurement and structure model was appraised using Structural Equation Modeling. The findings show that performance efficacy, effort efficacy, social influence and facilitating condition have significant effect on e-procurement usage since the p-value for all the cases are less than 0.05. The researcher therefore recommends that future studies should include other variables to improve the variance explained by the predictors, since there are variations in the research environments.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Elias @ Alias, Suhaidi UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Editor Raja Ahmad, Dr. Raja Adzrin UNSPECIFIED Editor Zainon, Assoc. Prof Dr. Saunah UNSPECIFIED Editor Soo, Assoc. Prof. Dr. Carolyn Kum Yoke UNSPECIFIED Editor Kadri, Assoc. Prof. Dr Mohd Halim UNSPECIFIED Editor Che Yaakob, Assoc. Prof. Ahmad Nawawi UNSPECIFIED Editor Ismail, Dr. Noriah UNSPECIFIED Editor Khairani, Dr. Noor Sufiawati UNSPECIFIED Editor Othman, Dr. Akmal Aini UNSPECIFIED Editor Ismail, Dr. Norashikin UNSPECIFIED Editor Ahmad, Dr. Syahrul Ahmar UNSPECIFIED Editor Misman, Dr. Faridah Najuna UNSPECIFIED |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > Management. Industrial Management > Electronic data processing. Information technology. Knowledge economy. Including artificial intelligence and knowledge management H Social Sciences > HD Industries. Land use. Labor > Construction industry |
Divisions: | Universiti Teknologi MARA, Johor > Segamat Campus |
Journal or Publication Title: | Insight Journal (IJ) |
UiTM Journal Collections: | UiTM Journal > INSIGHT Journal (IJ) |
ISSN: | 2600-8564 |
Volume: | 1 |
Number: | 1 |
Page Range: | pp. 90-99 |
Related URLs: | |
Keywords: | Effort Expectancy; Performance Expectancy; Social Influence; Facilitating Conditions; Use Behaviour; UiTM Cawangan Johor |
Date: | 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/41139 |