An Empirical Evaluation Of The Potential Of Public E-Procurement To Reduce Corruption

Authors

  • Arjun Neupane University of Southern Queensland
  • Jeffrey Soar University of Southern Queensland
  • Kishor Vaidya University of Southern Queensland

DOI:

https://doi.org/10.3127/ajis.v18i2.780

Keywords:

Public e-procurement, public sector, anti-corruption, intent-to-adopt

Abstract

One of the significant potential benefits of e-procurement technology is reducing opportunities for corruption in public procurement processes. The authors identified anti-corruption capabilities of e-procurement through an extensive literature review and a theoretical model representing the impact of three latent variables: monopoly of power, information asymmetry, and transparency and accountability upon the dependent variable, the intent-to-adopt e-procurement. This research was guided by the Principal-Agent theory and collected the perceptions of 46 government officers of the potential of public e-procurement to reduce corruption in public procurement processes. Results were analysed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The findings suggest that the intent-to-adopt e-procurement has a positive and significant relationship with the independent variables that might inform developing countries in strategies to combat corruption in public procurement.

Author Biography

Arjun Neupane, University of Southern Queensland

Arjun Neupane is a Ph.D. candidate School of information Systems, Faculty of Business and Law, University of Southern Queensland (USQ), Toowoomba, QLD 4350, Australia. He received his Master of Information technology from the USQ, Australia. Mr. Neupane research interests are electronic procurement, business information system, ICT4D, and software engineering.

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Published

2014-06-26

How to Cite

Neupane, A., Soar, J., & Vaidya, K. (2014). An Empirical Evaluation Of The Potential Of Public E-Procurement To Reduce Corruption. Australasian Journal of Information Systems, 18(2). https://doi.org/10.3127/ajis.v18i2.780

Issue

Section

Research Articles