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 |
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ASJC Scopus subject areas
- Software
- Applied Mathematics
Cite this
PAYROLL AND PERSONNEL SOFTWARE RELATED TO COMPUTER USER SATISFACTION : AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATIONS NETWORKS. / Rushinek, Avi; Rushinek, Sara.
In: Modelling, Measurement and Control C, Vol. 4, No. 1, 01.12.1985, p. 21-51.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - PAYROLL AND PERSONNEL SOFTWARE RELATED TO COMPUTER USER SATISFACTION
T2 - AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATIONS NETWORKS.
AU - Rushinek, Avi
AU - Rushinek, Sara
PY - 1985/12/1
Y1 - 1985/12/1
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=0022287124&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0022287124&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0022287124
VL - 4
SP - 21
EP - 51
JO - Modelling, Measurement and Control C
JF - Modelling, Measurement and Control C
SN - 1259-5977
IS - 1
ER -