The Influence of Individual Differences on Skill in End-User Computing.

Author List: Harrison, Allison W.; Jr., R. Kelly Rainer;
Journal of Management Information Systems, 1992, Volume 9, Issue 1, Page 93-111.
Using survey data from 776 knowledge workers from a university, this exploratory study generates and tests eight propositions concerning the relationship between individual differences and computer skill. A multiple regression analysis showed that the male gender, younger age, more experience with computers, an attitude of confidence regarding computers, lower math anxiety, and a creative cognitive style are individual difference variables associated with higher computer skill. The regression also indicated that the individual difference variables accounted for 56 percent of the variance associated with computer skill. These findings suggest that organizations should manage EUC using two complementary processes: a global process and an individual process. The global or organizationwide process would be responsible for areas such as standards, controls, and security. The individual process would address issues such as education and training, selection and recruitment, and the introduction of new technology into the workplace.
Keywords: computer skill.; end user; end-user computing; individual differences
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#72 0.213 skills professionals skill job analysts managers study results need survey differences jobs different significantly relative required motivation programmers technical factors
#153 0.117 usage use self-efficacy social factors individual findings influence organizations beliefs individuals support anxiety technology workplace key outcome behavior contextual longitudinal
#69 0.083 process business reengineering processes bpr redesign paper research suggests provide past improvements manage enable organizations regarding focal cycle creating issues
#248 0.077 computing end-user center support euc centers management provided users user services organizations end satisfaction applications article ibm step field policies
#218 0.074 role roles gender differences women significant play age men plays sample differ played vary understand critical greater implications relatively offered
#209 0.059 results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition
#215 0.058 data classification statistical regression mining models neural methods using analysis techniques performance predictive networks accuracy method variables prediction problem measure
#291 0.058 local global link complex view links particularly need thought number supports efforts difficult previously linked achieving simple poor individual rise