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

Avi Rushinek; Sara F. Rushinek

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 journal › Article › peer-review

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)
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

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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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