PAYROLL AND PERSONNEL SOFTWARE RELATED TO COMPUTER USER SATISFACTION: AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATIONS NETWORKS.

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)21-51
Number of pages31
JournalModelling, Measurement and Control C
Volume4
Issue number1
StatePublished - Dec 1 1985

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User Satisfaction
Telecommunication Network
Audit
expert system
telecommunication
Expert System
Expert systems
Software System
Telecommunication networks
Diagnostics
Multiple Correlation Coefficient
Personnel
software
Software
Multiple Regression
Null hypothesis
Predictors
Artificial Intelligence
Determinant
Computer operating procedures

ASJC Scopus subject areas

  • Software
  • Applied Mathematics

Cite this

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title = "PAYROLL AND PERSONNEL SOFTWARE RELATED TO COMPUTER USER SATISFACTION: AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATIONS NETWORKS.",
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).",
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