EDUCATION, SCHEDULING AND ADMINISTRATION RELATED TO COMPUTER USER SATISFACTION

AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATION NETWORKS.

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)399-411
Number of pages13
JournalThe International journal of applied engineering education
Volume3
Issue number4
StatePublished - Dec 1 1987

Fingerprint

knowledge-based system
audit
Expert systems
Telecommunication networks
telecommunication
scheduling
diagnostic
Education
Scheduling
education
Computer operating procedures
artificial intelligence
Artificial intelligence
Computer systems
determinants
regression

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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title = "EDUCATION, SCHEDULING AND ADMINISTRATION RELATED TO COMPUTER USER SATISFACTION: AN INTERACTIVE ON-LINE EXPERT SYSTEM USING DIAGNOSTIC AUDIT TRAILS THROUGH TELECOMMUNICATION NETWORKS.",
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).",
author = "Sara Rushinek and Avi Rushinek",
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