Abstract: This paper examines the objective career histories, mobility patterns, and caree ...
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Abstract: This paper examines the objective career histories, mobility patterns, and career success of 500 individuals drawn from the National Longitudinal Survey of Youth (NLSY79), who had worked in the information technology workforce. Sequence analysis of career histories shows that careers of the IT workforce are more diverse than the traditional view of a dual IT career path (technical versus managerial). This study reveals a new career typology comprising three broad, distinct paths: IT careers; professional labor market (PLM)careers; and secondary labor market (SLM) careers. Of the 500 individuals in the IT workforce, 173 individuals pursued IT careers while the remaining 327 individuals left IT for other high-status non-IT professional jobs in PLM or lower-status, non-IT jobs in SLM careers. Findings from this study contribute to refining the concept of "boundaryless" careers. By tracing the diverse trajectories of career mobility, we enrich our understanding of how individuals construct boundaryless careers that span not only organizational but also occupational boundaries. Career success did not differ in terms of average pay for individuals in IT and PLM careers. By contrast, individuals in SLM careers attained the lowest pay. We conclude this study with implications for future research and for the management of IT professionals' careers
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Semantic filters:
human capital theoryk-means clustering
Topics:
IT career IT workforce IT job human resource management IT work
Methods:
cluster analysis sensitivity analysis longitudinal research computational algorithm Levene's test
Theories:
human capital theory
Competence of IT Professionals in E-Business Venture Teams: The Effect of Experience and Expertise on Preference Structure
Abstract: The ascension of e-business has significantly changed competence requirements of ...
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Abstract: The ascension of e-business has significantly changed competence requirements of information technology (IT) professionals. In this paper, we derive a competence set that addresses these changes and investigate individual preferences for specific competence components within e-business teams. We connect these preferences and competence valuation with personal characteristics of team members that were found to influence the perception of competence requirements in previous research. To empirically address this issue, we apply a Web-based questionnaire with adaptive conjoint measurement. By cluster analysis, we identify four competence profiles preferred by team members. Data from 176 respondents suggest that experience is related to the preferred profile, whereas expertise is related to overall competence valuation. Our research suggests that immature teams should consider that preferences regarding IT professionals may change with venture maturation, whereas interdisciplinary teams should discuss each member's value contribution. Considering our results, these suggestions could optimize the process of team composition.
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Semantic filters:
human capital theoryk-means clustering
Topics:
IT workforce electronic business internet technology IT skill anonymity
Methods:
survey descriptive statistic cluster analysis conjoint analysis parametric test