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Open AccessArticle

Developing Internet Online Procurement Frameworks for Construction Firms

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Intelligence and Automation in Construction Fujian Province Higher-Educational Engineering Research Centre, College of Civil Engineering, Huaqiao University, Xiamen 361021, China
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Department of Construction Management, Universiti Tun Hussein Onn Malaysia, Parit Raja 86400, Batu Pahat Johor, Malaysia
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Intelligence and Automation in Construction Fujian Province Higher-Educational Engineering Research Centre, College of Civil Engineering, Huaqiao University, Xiamen 361021, China
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Department of Surveying, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman (UTAR), Kajang 43000, Selangor, Malaysia
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Chair Professor, Department of Building and Real Estate, Faculty of Construction and Environment, the Hong Kong Polytechnic University, 999077, Hong Kong
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Faculty of Built Environment, University of Malaya, Kuala Lumpur 50603, Malaysia
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Author to whom correspondence should be addressed.
Future Internet 2019, 11(6), 136; https://doi.org/10.3390/fi11060136
Received: 14 April 2019 / Revised: 13 June 2019 / Accepted: 18 June 2019 / Published: 20 June 2019
(This article belongs to the Section Techno-Social Smart Systems)
Electronic purchasing or e-procurement saves millions of dollars yearly in transaction costs. E-procurement helps to cut down the supplier base, promotes paperless transactions, and increases transparency and accountability in the procurement process. Nonetheless, studies report that around 80% of e-procurement initiatives have met with failure and failed to achieve the desired results. Although studies to better understand the Critical Success Factors (CSFs) of e-procurement implementation involving various industries have been on the rise, little is known about architecture engineering and construction (AEC) practices, which has led to limited development of pragmatic frameworks to uncover the factors. Thus, this study aims to identify those CSFs (predicting variables) which significantly contribute to e-procurement implementation success in the construction sector and to put forward for better implementation. Results from multiple regression analysis revealed five factors to be statistically significant predictors of success. Three factors were determined to be predictors of user satisfaction. Finally, internet online procurement frameworks were developed for the success of e-procurement implementation in the construction sector. View Full-Text
Keywords: electronic purchasing/e-procurement; AEC firms; critical success factors (CSFs); predicting variables; multiple regression analysis electronic purchasing/e-procurement; AEC firms; critical success factors (CSFs); predicting variables; multiple regression analysis
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Deraman, R.; Wang, C.; Yap, J.B.H.; Li, H.; Mohd-Rahim, F.A. Developing Internet Online Procurement Frameworks for Construction Firms. Future Internet 2019, 11, 136.

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