Perceptions of equity, job satisfaction, and intention to quit among data processors
Information and Management
Determinants of MIS employees' turnover intentions: a structural equation model
Communications of the ACM
Workers' propensity to telecommute: an empirical study
Information and Management
Turnover among DP personnel: a casual analysis
Communications of the ACM
Journal of Management Information Systems - Special section: Data mining
Journal of Management Information Systems
A Discrepancy Model of Information System Personnel Turnover
Journal of Management Information Systems
An investigation of work family conflict among IT professionals
Proceedings of the 2008 ACM SIGMIS CPR conference on Computer personnel doctoral consortium and research
A proposed investigation of the is employee job context
Proceedings of the 2008 ACM SIGMIS CPR conference on Computer personnel doctoral consortium and research
Turnover intentions of Indian IS professionals
Information Systems Frontiers
Proceedings of the 7th ACM conference on Designing interactive systems
Defining a conceptual framework for telework and an agenda for research in accounting and finance
International Journal of Business Information Systems
Value contribution of it in recruiting: a multi-national causal analysis
Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research
Relational roots of IT worker organizational commitment
Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research
Proceedings of the 2010 Special Interest Group on Management Information System's 48th annual conference on Computer personnel research on Computer personnel research
Making infrastructure visible for nomadic work
Pervasive and Mobile Computing
Antecedents to IT personnel's intentions to leave: A systematic literature review
Journal of Systems and Software
Challenges and barriers facing women in the IS workforce: how far have we come?
Proceedings of the 49th SIGMIS annual conference on Computer personnel research
Editor's comments: perspectives on time
MIS Quarterly
The Influence of Virtuality on Social Networks Within and Across Work Groups: A Multilevel Approach
Journal of Management Information Systems
Technostress: technological antecedents and implications
MIS Quarterly
Work-life conflict and job mobility intentions
Proceedings of the 50th annual conference on Computers and People Research
A New Open Door: The Smartphone's Impact on Work-to-Life Conflict, Stress, and Resistance
International Journal of Electronic Commerce
The organizational citizenship behavior of IS personnel: Does organizational justice matter?
Information and Management
Proceedings of the 2013 annual conference on Computers and people research
Information Resources Management Journal
An investigation of the impact of abusive supervision on technology end-users
Computers in Human Behavior
The role of theory in gender and information systems research
Information and Organization
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This study examines the antecedents of turnover intention among information technology road warriors. Road warriors are IT professionals who spend most of their workweek away from home at a client site. Building on Moore's (2000) work on turnover intention, this article develops and tests a model that is context-specific to the road warrior situation. The model highlights the effects of work family conflict and job autonomy, factors especially applicable to the road warrior's circumstances. Data were gathered from a company in the computer and software services industry. This study provides empirical evidence for the effects of work family conflict, perceived work overload, fairness of rewards, and job autonomy on organizational commitment and work exhaustion for road warriors. The results suggest that work family conflict is a key source of stress among IT road warriors because they have to juggle family and job duties as they work at distant client sites during the week. These findings suggest that the context of the IT worker matters to turnover intention, and that models that are adaptive to the work context will more effectively predict and explain turnover intention.