IJSSH 2011 Vol.1(3): 171-176 ISSN: 2010-3646
DOI: 10.7763/IJSSH.2011.V1.30

Assessing Key Performance Indicators Monitoring System (KPI-MS) of a university using Technology Acceptance Model

Balakrishnan Muniandy, Mei Yean Ong, Kia Kien Phua, and Saw Lan Ong
Abstract—This article is based on the findings of a study that assessed the Key Performance Indicators Monitoring System (KPI-MS) of a university based on Technology Acceptance Model. The system was developed using PHP 5.2 as the scripting language and MySQL Community Server 5.0 as the databases management system. The assessment of the KPI-MS system was in terms of its perceived usefulness and perceived ease of use by the university users. The study was carried out using a survey questionnaire which was developed and modified from Davis’s study on Technology Acceptance Model (TAM). This instrument was validated by three experts in the related field and the cronbach alpha value of reliability obtained was 0.955. A total of 78 participants from all the schools and centres in one of the public universities in northern Malaysia participated in the study. A descriptive analysis was carried out to obtain the mean scores of KPI-MS as rated by the users. The findings showed that the users rated KPI-MS as a very useful system in monitoring the KPI performance of their schools or centres. Besides, users also indicated that the KPI-MS is easy to use. In conclusion, KPI-MS system is accepted by the users in terms of perceived usefulness and perceive ease of use on the system.

Index Terms—Key performance indicators, key performance indicator monitoring system, technology acceptance model, perceive usefulness, perceived ease of use

Balakrishnan Muniandy is an Associate Professor at the Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, 11800 Penang, Malaysia (Corresponding author. Tel: +604-6533875; fax: +604-6576749; email: mbala@usm.my).
Mei Yean Ong is a graduate student at the Centre of Instructional Technology and Multimedia, Universiti Sains Malaysia, 11800 Penang, Malaysia (meiyean0615@gmail.com).
Kia Kien Phua is an Associate Professor at the Institute for Molecular Medicine, Universiti Sains Malaysia, 11800 Penang, Malaysia (kkphua@kb.usm.my).
Saw Lan Ong is an Associate Professor at the School of Educational Studies, Universiti Sains Malaysia, 11800 Penang, Malaysia (osl@usm.my).

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Cite: Balakrishnan Muniandy, Mei Yean Ong, Kia Kien Phua, and Saw Lan Ong., "Assessing Key Performance Indicators Monitoring System (KPI-MS) of a university using Technology Acceptance Model," International Journal of Social Science and Humanity vol. 1, no. 3, pp.  171-176, 2011.
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