title: Personality correlates of employees' personal use of work computers.
abstract: The advent of the desktop computer has allowed organizations to help their employees become faster and more productive workers. Some employees, however, use their work computers in unproductive ways as well, such as sending personal email and playing computer games. We call this Personal Use of Work Computers (PUWC). Using a work computer for personal reasons deviates from many organizations' norms. In the current study, we surveyed employees at an educational institution and asked them to report how they use their computers at work. These respondents also answered questions related to their sensation seeking, impulsiveness, conscientiousness, and job satisfaction as well as demographic information. We found that people who use their computers in unproductive ways tend to be men, younger, more impulsive, and less conscientious. We also found that those who use their computers for riskier PUWC behaviors (like viewing sexual content) tended to have sensation seeking personalities.
authors.affiliation: Department of Psychology, Eastern Connecticut State University, Willimantic, Connecticut 06226, USA. evertonw@easternct.edu
authors.forename: Wendi J
authors.initials: WJ
authors.lastname: Everton
authors.forename: Paul M
authors.initials: PM
authors.lastname: Mastrangelo
authors.forename: Jeffrey A
authors.initials: JA
authors.lastname: Jolton
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001292:Attitude to Computers; D004526:Efficiency; D004651:Employment / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007588:Job Satisfaction; D008297:Male; D008838:Microcomputers / Q000706:statistics & numerical data*; D008875:Middle Aged; D010551:Personality; D010559:Personnel Management; D011364:Professional Practice / Q000706:statistics & numerical data; D012044:Regression Analysis; D012309:Risk-Taking; D012737:Sex Factors; D014481:United States; D018910:Video Games / Q000706:statistics & numerical data; D016526:Workload / Q000706:statistics & numerical data*