Managing new MIS professionals
Information and Management
The professional development challenge for IT professionals
Communications of the ACM - Supporting community and building social capital
Information Systems Research
Strategies for managing IS/IT personnel
Strategies for managing IS/IT personnel
Peopleware: the hiring and retention of IT personnel
Strategies for managing IS/IT personnel
Strategies for staffing the information systems department
Strategies for managing IS/IT personnel
Employment arrangement fit for IT professionals: an examination of the importance of fit components
Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment
A cognitive view of how IT professionals update their technical skills
Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment
A qualitative study of the occupational subculture of information systems employees in organizations
Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment
Career orientation of IT personnel
Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment
Who is "the IT workforce"?: challenges facing policy makers, educators, management, and research
Proceedings of the 2005 ACM SIGMIS CPR conference on Computer personnel research
Journal of Management Information Systems
A regional IT occupational partnership for economic development
Proceedings of the 2007 ACM SIGMIS CPR conference on Computer personnel research: The global information technology workforce
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Students interested in an IT career understand little about the actual knowledge and critical skills required by each of the information technology majors (i.e., computer science, information systems, and telecommunications management). Existing psychometric career orientation measurements can be used to assist students in their selections of different IT majors. The preliminary analysis suggests that a discriminant function can be used to classify student groups and assist them in making wiser career decisions. By understanding the students' career orientations and assisting them with the selection of a major, we can ultimately increase their motivation to pursue IT careers.