A model of end-user computing policy: Context, process, content and compliance
Information and Management
Explaining the role of user participation in information system use
Management Science
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Putting the enterprise into the enterprise system
Harvard Business Review
Enterprise resource planning: cultural fits and misfits: is ERP a universal solution?
Communications of the ACM
Assessing the Validity of IS Success Models: An Empirical Testand Theoretical Analysis
Information Systems Research
Information Systems Research
Enacting Integrated Information Technology: A Human Agency Perspective
Organization Science
Learning to Implement Enterprise Systems: An Exploratory Study of the Dialectics of Change
Journal of Management Information Systems
Information Systems Research
An Empirical Study of Knowledge Sharing Intention within Virtual Teams
International Journal of Knowledge Management
Critical success factors in enterprise resource planning systems: Review of the last decade
ACM Computing Surveys (CSUR)
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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.