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The comparisons illuminate interesting facets of developer collaboration on the Jazz platform.
Our findings suggest that job security is a strong predictor of both IT career optimism and career planning ability.
Originality/Value–This paper makes a valuable contribution to the career success literatures by investigating kinds of predictors of career success.
the capability to adapt to changing career-related circumstances and predict advancement in career development, seems to provide a fruitful scientific base for successful career intervention.
Overall, there appears to be a good fit between the factors the Millennials find important and a career choice in public service.
There are associations between early career skill measures and career outcomes.
While career plateauing is a major challenge facing contemporary organizations, possible solutions are available.
Proceedings ArticleDOI
Minghui Zhou, Audris Mockus 
07 Nov 2010
90 Citations
By studying developer fluency we contribute by determining dimensions along which developer expertise is acquired, finding ways to measure them, and quantifying the trajectories of developer learning.
We conclude that further research is important for understanding how different actors within the career ecosystem can help to ensure that the conditions for sustainability are met in view of creating a more resilient career system.
Thus, the career plateau may provide organizations with a helpful perspective on one’s career development.
In addressing environmentally induced career change, the career development practitioner is better informed by a career development model than more traditional approaches.
Our results also shed lights on the potential approaches to improving developer retention.
Furthermore, there is a positive relationship between skill development and career development.
Hierarchical career plateau and age significantly predict the use of career strategies. Originality/value – The study provides useful information for both practitioners and academics to better understand career strategies used by IT professionals in managing their own careers and factors that predict the use of career strategies.
Journal ArticleDOI
Laurie Larwood, Mindy Kaplan 
21 Citations
The results suggested a model of career development.

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10 answers
The challenges associated with implementing Artificial Intelligence (AI) in Human Resource Management (HRM) practices exhibit notable differences between Small and Medium-sized Enterprises (SMEs) and larger organizations, primarily due to variations in resources, scale, and organizational structure. For SMEs, the primary hurdles in adopting AI for HRM include the high costs and technical requirements necessary for implementation. These challenges stem from limited financial and technical capabilities, which are significant barriers to leveraging AI's potential benefits within smaller firms. Conversely, larger organizations face challenges related to the integration of AI into existing HR systems, managing the change among a larger employee base, and ensuring privacy and data security on a much larger scale. Both SMEs and larger organizations share concerns over the potential lack of human touch and emotional intelligence in AI-driven HR practices, which is crucial for managing sensitive employee-related issues. However, the impact of this challenge is more pronounced in larger organizations due to their complex HR needs and the broader scope of employee interactions with AI systems. Additionally, larger firms have to navigate the intricacies of integrating AI across diverse geographical locations and cultural contexts, a challenge less relevant to SMEs. Employee resistance and the need for upskilling present common challenges across both types of organizations. However, larger organizations might have more resources to address these issues through comprehensive training programs and change management strategies. In contrast, SMEs might struggle with these aspects due to tighter budgets and a lack of in-house expertise. Moreover, while larger organizations may have the infrastructure to experiment with and gradually integrate AI into HRM, SMEs often require immediate and tangible benefits from such investments to justify the expenditure, making the adoption process more challenging. Both, however, stand to gain significantly from overcoming these challenges, with AI offering enhanced efficiency, decision-making capabilities, and competitive advantage.
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5 answers
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5 answers
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4 answers
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