Abstract
The selection of an education, scheduling, and administration (ESA) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of ESA predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that the multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that ESA ease of operation, computer reliability, and number of systems represented are the major determinants of overall computer user satisfaction. The factors identified were used in the design of an ESA Expert System based on Artificial Intelligence (ESAI).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 399-411 |
| Number of pages | 13 |
| Journal | The International journal of applied engineering education |
| Volume | 3 |
| Issue number | 4 |
| State | Published - Dec 1 1987 |
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ASJC Scopus subject areas
- Engineering(all)
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EDUCATION, SCHEDULING AND ADMINISTRATION RELATED TO COMPUTER USER SATISFACTION : AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATION NETWORKS. / Rushinek, Sara; Rushinek, Avi.
In: The International journal of applied engineering education, Vol. 3, No. 4, 01.12.1987, p. 399-411.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - EDUCATION, SCHEDULING AND ADMINISTRATION RELATED TO COMPUTER USER SATISFACTION
T2 - AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATION NETWORKS.
AU - Rushinek, Sara
AU - Rushinek, Avi
PY - 1987/12/1
Y1 - 1987/12/1
N2 - The selection of an education, scheduling, and administration (ESA) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of ESA predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that the multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that ESA ease of operation, computer reliability, and number of systems represented are the major determinants of overall computer user satisfaction. The factors identified were used in the design of an ESA Expert System based on Artificial Intelligence (ESAI).
AB - The selection of an education, scheduling, and administration (ESA) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of ESA predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that the multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that ESA ease of operation, computer reliability, and number of systems represented are the major determinants of overall computer user satisfaction. The factors identified were used in the design of an ESA Expert System based on Artificial Intelligence (ESAI).
UR - http://www.scopus.com/inward/record.url?scp=0023565091&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0023565091&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0023565091
VL - 3
SP - 399
EP - 411
JO - International Journal of Engineering Education
JF - International Journal of Engineering Education
SN - 0949-149X
IS - 4
ER -