International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 125 | Views: 199

Research Paper | Information Technology | Kenya | Volume 6 Issue 6, June 2017 | Rating: 7 / 10

An Empirical Review of Models for Evaluation of Computer Hardware and Software Vendors

Daniel K. Samoei | K. S. Buigutt

Abstract: he acquisition and use of computer hardware, software and ICT consultancy services requires that the procuring entity chooses a vendor who not only understands the system specifications but also can be trusted to deliver the required quantity of the product on time and of the required quality. Choosing the best vendor that meets the set tangible and intangible evaluation criteria requires the procuring entity to use an efficient and effective model that evaluates the complex multi criteria and multivendor issue. This study sought to examine and assess the model (s) adopted in evaluating and selecting the vendors of computer hardware and software in Moi University. The findings showed that 80 % (8) of the respondents interviewed have used weighted point method in evaluating suppliers of computer hardware and software. However, none of the respondents have used cost ratio and total cost of ownership methods in the evaluation and selection of the vendors. Further, 100 % (10) of the respondents interviewed indicated that they have never used Analytical Hierarchy Process Model, Data Envelopment Analysis and Artificial Neural Network yet they support multi-criteria decision analysis. It is recommended that an intelligent web based multi criteria system be developed and implemented. This will aid in optimizing the evaluation and selection of computing system vendors. In addition, the multi criteria decision making models should be incorporated in the Universitys ICT Policy to govern the procurement of computer hardware and software.

Keywords: HP, ANN, Computer hardware and software, DEA, Intelligent, Web-based, Multi criteria, procuring entity, vendor evaluation

Edition: Volume 6 Issue 6, June 2017,

Pages: 644 - 648

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