TOE CONCEPTUAL FRAMEWORK THAT AFFECTS ACCEPTANCE OF THE USE OF HUMAN RESOURCES MANAGEMENT INFORMATION SYSTEMS SIGNALING AND TELECOMMUNICATIONS DEPARTMENT, STATE RAILWAY OF THAILAND
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Abstract
These research objectives were to investigate the factors in accepting the use of personnel management information systems, the factors influencing the acceptance of the use of personnel management information systems, and examine the acceptance of the use of personnel management information systems in Signaling and Telecommunications Department, State Railway of Thailand. The sample was 266 Signaling and Telecommunications Department employees, State Railway of Thailand in the central and provincial areas. The statistical analyses were mean, standard deviation and Multiple Regression with 0.05 statistical significance.
The results showed that for factors in accepting the use of personnel management information systems in Signaling and Telecommunications Department, State Railway of Thailand, according to TOE (Technology Organization Environment Framework) conceptual framework that affected the perceived usefulness of use and the perceived ease of using the system, were technological factors such as compatibility and perception of benefits, organizational factors such as support from senior management, organizational practices, financial ability of employees, and employee reliability, and environmental factors such as business competitiveness, acceptance, and use of information systems, for factors influencing the acceptance of the use of personnel management information systems in Signaling and Telecommunications Department, State Railway of Thailand, it was found that there was a relationship between the technological and organizational factors and the perceived usefulness and perceived ease of use of the system, and for acceptance of the use of personnel management information systems in Signaling and Telecommunications Department, State Railway of Thailand. It was found that technological factors and organizational factors could jointly explain or predict the dependent variable with 0.05.significant difference. Environmental factors did not affect explaining or predicting the dependent variable. The regression equation could be written as follows:
Y^ = 0.474 X1 + 0.169 X2 .
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