Abstract
The selection of a payroll and personnel software (PPS) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of PPS predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that PPS ease of operation, computer reliability, and use of mainframe are the major determinants of overall computer user satisfaction. The factors identified were used in the design of a PPS expert System based on Artificial Intelligence (ESAI).
Original language | English (US) |
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Pages (from-to) | 21-51 |
Number of pages | 31 |
Journal | Modelling, Measurement and Control C |
Volume | 4 |
Issue number | 1 |
State | Published - Dec 1 1985 |
ASJC Scopus subject areas
- Chemistry(all)
- Modeling and Simulation
- Environmental Science(all)
- Computer Science Applications