Systematic Approach to Measure Computer Based Information System Acceptance in Decision Making for Organizations in Jordan

The use of computer-based information system (CBIS) helps to facilitate decision makers and empowers them to make decisions in their workplace. A lower acceptance regarding the use of CBIS in private organizations in Jordan, however, leads to unsuitable decision making at various organizational leve...

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Bibliographic Details
Main Author: Shakkah, Moh'd Suliman Hassan
Format: Thesis
Language:English
English
Published: 2012
Subjects:
Online Access:https://etd.uum.edu.my/3367/1/MOH%60D__SULIMAN_HASSAN__SHAKKAH.pdf
https://etd.uum.edu.my/3367/4/mohd%20suliman.pdf
https://etd.uum.edu.my/3367/
http://sierra.uum.edu.my/record=b1242593~S1
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Summary:The use of computer-based information system (CBIS) helps to facilitate decision makers and empowers them to make decisions in their workplace. A lower acceptance regarding the use of CBIS in private organizations in Jordan, however, leads to unsuitable decision making at various organizational level, which eventually incurred cost and time to organizations. This research, which is based on the Unified Theory of Acceptance and Use of Technology (UTAUT), has the following objectives: (1) to measure the acceptance level of CBIS in decision making in organizations in Jordan, (2) to identify the decision making attributes (relevant factors) that affect decision making, (3) to develop a conceptual model of acceptance and use of the CBIS in decision making in organizations in Jordan. A questionnaire consisting of the variables such as time, cost, benefits, resources, risk, performance expectancy, effort expectancy, social influence, facilitating conditions, behavior intention to use CBIS, actual use of CBIS, and decision making process of CBIS, were used to collect the data for this study. The population of the study was private organizations registered in Jordan. A total of 642 questionnaires were distributed with the usable questionnaires of 360 returned, with a response rate of 56.07%. The Structural Equation Modeling (SEM) technique was used to analyze the data. All the proposed variables were significant except facilitating conditions. This study suggests organizations to take concrete steps to train their employees regarding the use, adoption and ultimately acceptance of CBIS in decision making.