Author List: Xue, Yajiong; Liang, Huigang; Wu, Liansheng;
Information Systems Research, 2011, Volume 22, Issue 2, Page 400-414.
This paper aims to understand the influence of punishment and perceived justice on user compliance with mandatory information technology (IT) policies. Drawing on punishment research and justice theory, a research model is developed. Data collected from a field survey of enterprise resource planning (ERP) users are analyzed to test the proposed hypotheses. The results indicate that IT compliance intention is strongly influenced by perceived justice of punishment, which is negatively influenced by actual punishment. When perceived justice of punishment is considered, the effect of satisfaction on compliance intention decreases and that of perceived usefulness becomes insignificant. This paper contributes to information systems (IS) research and practice by drawing attention to the importance of punishment, particularly perceived justice of punishment, in mandatory IT settings. It delineates the relationships among actual punishment, punishment expectancy, perceived justice of punishment, and IT compliance intention, and thus provides a better understanding of user compliance behavior in mandatory IT settings.
Keywords: compliance; distributive justice; fairness; informational justice; mandatory context; procedural justice; punishment; punishment expectancy
Algorithm:

List of Topics

#92 0.497 equity conventional punishment justice wisdom focus behavior fairness compliance suggest theory significant certainty misuse reward settings behavioral mandatory drawing widely
#108 0.185 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#99 0.156 perceived usefulness acceptance use technology ease model usage tam study beliefs intention user intentions users behavioral perceptions determinants constructs studies
#276 0.063 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses important success various indicate tested