Company profile of the frequent internet user
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
Constructive approaches to internet recreation in the workplace
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
How do I loaf here? let me count the ways
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
Aligning internet usage with business priorities
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
Determinants of the intention to use Internet/WWW at work: a confirmatory study
Information and Management
Social Science Computer Review
An Experimental Study of the Factors Influencing Non-Work Related Use of IT Resources at Workplace
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 08
Correlates of different forms of cyberloafing: The role of norms and external locus of control
Computers in Human Behavior
Explaining non-work-related computing in the workplace: A comparison of alternative models
Information and Management
Non-work related computing (NWRC)
Communications of the ACM - A Direct Path to Dependable Software
Employee job attitudes and organizational characteristics as predictors of cyberloafing
Computers in Human Behavior
The effects of sanctions and stigmas on cyberloafing
Computers in Human Behavior
Understanding of computers and procrastination: A philosophical approach
Computers in Human Behavior
The effects and moderators of cyber-loafing controls: an empirical study of Chinese public servants
Information Technology and Management
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Cyberslacking, typically defined as the use of Internet and mobile technology during work hours for personal purposes, is a growing concern for organizations due to the potential in lost revenue; however, the majority of academic research in this area has focused on a limited number of cyberslacking behaviors and/or employed small, non-representative samples. In order to address these limitations, the present study employs a nationally representative sample of American workers and tests the relationship between nine cyberslacking behaviors and a variety of demographic and work-specific predictors. Three measures of cyberslacking are employed to provide a richer analysis of the phenomenon: individual behaviors, frequency of cyberslacking, and variety of cyberslacking. Results indicate that being younger, male, and a racial minority positively predict cyberslacking variety and frequency, as do routinized Internet use at work and higher perceived Internet utility. Results are discussed as to how the present study expands on previous research, and directions for future research are indicated.