Author List: Yoon, Youngohc; Guimaraes, Tor;
Journal of Management Information Systems, 1995, Volume 12, Issue 1, Page 225-249.
A comprehensive list of ten major expert systems (ES) related factors likely to affect users' jobs has been defined, including problem importance, problem difficulty, developer skill, domain expert quality, user characteristics, user satisfaction, shell quality, user involvement, management support. and system usage. Impact on the job has been defined in terms of eleven items dealing with changes in job importance, amount of work, accuracy requirements, skills needed, job appeal, feed-back about performance, freedom in how to do the job, opportunity for advancement, job security, relation with peers, and job satisfaction. Data were collected on sixty-nine expert systems developed through IBM's Corporate Manufacturing Expert Systems Project Center in San Jose, California. The results show that the major variables having the most impact on users' jobs are problem importance, problem difficulty, domain expert quality, user satisfaction with the ES. shell quality, and user involvement in ES development. Based on the results, recommendations are made for corporate and ES development managers to increase the likelihood that ES will have a desirable impact on users' jobs.
Keywords: expert systems;job impact of technology;success factors
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List of Topics

#3 0.193 problems issues major involved legal future technological impact dealing efforts current lack challenges subsystem related highly present addressing likely recommendations
#253 0.178 user involvement development users satisfaction systems relationship specific results successful process attitude participative implementation effective application authors suggested user's contingency
#129 0.165 expert systems knowledge knowledge-based human intelligent experts paper problem acquisition base used expertise intelligence domain inductive rules machine artificial task
#72 0.120 skills professionals skill job analysts managers study results need survey differences jobs different significantly relative required motivation programmers technical factors
#298 0.096 job employees satisfaction work role turnover employee organizations organizational information ambiguity characteristics personnel stress professionals conflict organization intention variables systems
#231 0.077 information management data processing systems corporate article communications organization control distributed department capacity departments major user hardware cost applications expansion
#115 0.064 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing