Author List: Goldstein, David K.;
Journal of Management Information Systems, 1989, Volume 6, Issue 1, Page 41-58.
A measure for classifying programmer/analysts based on the tasks they perform is proposed. A questionnaire, including the measure and measures of work satisfaction, job characteristics, role perceptions, and user interaction characteristics, was administered to over 250 subjects in a manufacturing firm. The results indicated that the task differences measure could be used to classify programmer/analysts into four groups—development/programmers, development/analysts, maintainers, and supporters. In addition, significant differences among the groups in skill variety, role ambiguity, and amount of user interaction were found. Implications of the results for those interested in redesigning the jobs of programmer/analysts are discussed.
Keywords: end-user computing.; Information systems personnel; job satisfaction; maintenance; systems development
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List of Topics

#298 0.349 job employees satisfaction work role turnover employee organizations organizational information ambiguity characteristics personnel stress professionals conflict organization intention variables systems
#145 0.141 differences analysis different similar study findings based significant highly groups popular samples comparison similarities non-is variety reveals imitation versus suggests
#295 0.067 task fit tasks performance cognitive theory using support type comprehension tools tool effects effect matching types theories modification working time
#215 0.066 data classification statistical regression mining models neural methods using analysis techniques performance predictive networks accuracy method variables prediction problem measure
#276 0.061 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses important success various indicate tested
#275 0.052 perceptions attitudes research study impacts importance perceived theory results perceptual perceive perception impact relationships basis significant positive reported common individuals