Influence of Proactive Career Behaviors on Career Choice Decisions of Students

Due to increased trend in job transitions, prospects of occupation these days are difficult to predict. Therefore, workers need to develop differentiated set of skills and competences to be able to adapt to a variety of available occupations. The volatility in employability due to ever changing technologies, business environments and models need to focus on becoming lifelong learners not only to maintain their employability but to create more opportunities for themselves. This situation has affected work like of people in a way that the careers no more belong to the organizations but to individual. According to the literature on boundaryless careers, there are three types of variables that can be used to predict career success. Combinations of these three variables are generally referred to as career competencies. Theoretical research reveals that 'understanding why, ‘whom,' and 'how' are the three most important indicators of career success. The findings demonstrate that proactive career behaviors are predicted by future work self and identity resolution. Future work self has a significant positive impact on employment status and, as a result, can lead to future employment success. The findings also revealed that future work self predicts career planning the most. Career consultation is the second most reliable indicator of future employment. Future work self can also forecast proactive skill improvement and proactive career consulting. The study showed results that identity resolution predicts career planning the most. Identity resolution also predicts proactive skill development, career consultation and proactive career networking.

Professional development and career-preparedness experiences of STEM Ph.D. students: Gaps and avenues for improvement

This study presents the experiences of current science, technology, engineering and mathematics (STEM) Ph.D. students and alumni with respect to professional development opportunities in their Ph.D. training. Specifically, it investigates if and how the Ph.D. training supports graduates to pursue non-academic and non-R&D roles, which have become increasingly common career paths post-graduation. A mixed-methods questionnaire was developed to obtain quantitative and qualitative data regarding the graduate school experiences of current Ph.D. students and recent Ph.D. graduates pursuing diverse career paths. The study investigates the values, needs, and conceptions of professional development from the student perspective, as well as the contributions of peers and mentors in graduate school towards their professional development. Experiences of Ph.D. alumni are used to identify the barriers for transitioning to the first job post-graduation and to provide an assessment of the current professional development opportunities in Ph.D. programs. It is reported that although Ph.D. training allowed alumni to develop a robust skillset that includes research, teaching, and scientific writing; some common barriers associated with obtaining a job post-graduation were lack of awareness about career options, limited or no professional networks outside academia, and a lack of preparation and support for non-academic job transitions. Through analyzing the student perspective on various aspects of professional development, the study identifies gaps and avenues for improvement for professional development in Ph.D. training, including increased awareness of diverse career paths for STEM PhDs, increased networking opportunities for PhD students with sectors outside academia, embedding professional development in the PhD curriculum, and others; so that programs can support students in entering the labor market in a variety of careers that extend beyond academia and traditional R&D jobs, using interventions that resonate with the students and meet their needs.

Immigrants' Employment Stability Over the Great Recession and Its Aftermath

We examine immigrant men's employment stability during the Great Recession and its aftermath using a longitudinal approach that draws on data from the Survey of Income and Program Participation (SIPP), a nationally representative panel survey of U.S. residents. Discrete-time event-history models are used to estimate male immigrants' relative risk of experiencing an involuntary job loss or underemployment, defined as working less than full-time involuntarily. The analysis also investigates differences in job stability by immigrant documentation status. Undocumented immigrants are identified using a logical allocation method augmented with external information about whether the respondent was successfully matched with administrative data. We find that immigrants are at significantly higher risk of involuntary job loss, and especially of underemployment relative to native-born workers. Undocumented immigrants face a greater risk of adverse job transitions, particularly underemployment in the first part of the recession. When demographic and job characteristics are taken into account, immigrant-native and documented-undocumented differences attenuate but remain in many instances. A comparison of our findings with those from an earlier nonrecessionary period from 2004 to 2006 suggests that immigrants' higher risk of employment instability may be attributed to the recession.

Variational inference for Markovian queueing networks

Queueing networks are stochastic systems formed by interconnected resources routing and serving jobs. They induce jump processes with distinctive properties, and find widespread use in inferential tasks. Here, service rates for jobs and potential bottlenecks in the routing mechanism must be estimated from a reduced set of observations. However, this calls for the derivation of complex conditional density representations, over both the stochastic network trajectories and the rates, which is considered an intractable problem. Numerical simulation procedures designed for this purpose do not scale, because of high computational costs; furthermore, variational approaches relying on approximating measures and full independence assumptions are unsuitable. In this paper, we offer a probabilistic interpretation of variational methods applied to inference tasks with queueing networks, and show that approximating measure choices routinely used with jump processes yield ill-defined optimization problems. Yet we demonstrate that it is still possible to enable a variational inferential task, by considering a novel space expansion treatment over an analogous counting process for job transitions. We present and compare exemplary use cases with practical queueing networks, showing that our framework offers an efficient and improved alternative where existing variational or numerically intensive solutions fail.

What Can We Learn from Idiosyncratic Wage Changes?

I document six facts about wage changes. First, most pay revisions occur at yearly frequency, but a small proportion occur at idiosyncratic times. Second, idiosyncratic pay changes are larger and more dispersed than year-end pay changes and resemble more pay changes occurring at job-to-job transitions. Third, idiosyncratic pay changes are more common for workers with less experience and, fourth, in firms higher on the job-ladder. Fifth, industries in which the incidence of idiosyncratic raises have risen have experienced greater declines in labor share. Sixth, industries in which more firms report willingness to negotiate wages have greater concentrations of idiosyncratic revisions. An on-the-job search model with heterogeneous wage contracts can rationalize these facts.

Supporting the Dynamic Careers of Licensed Practical Nurses: A Strategy to Bolster the Long-Term Care Nurse Workforce

As the U.S. population ages and the demand for long-term care increases, an insufficient number of licensed practical nurses (LPNs) is expected in the nursing workforce. Understanding the characteristics of LPN participation in the workforce is essential to address this challenge. Drawing on the theory of boundaryless careers, the authors examined longitudinal employment data from LPNs in North Carolina and described patterns in LPN licensure and career transitions. Two career patterns were identified: (a) the continuous career, in which LPNs were licensed in 75% or more of the years they were eligible to be licensed and (b) the intermittent career, in which lapses in licensure occurred. Findings indicated that LPNs who made job transitions were more likely to demonstrate continuous careers, as were Black LPNs. These findings suggest the importance of organizational support for LPN career transitions and support for diversity in the LPN workforce.

Returns to Educational Attainment in Urban Ghana: The Role of Job-to-Job Transition

It is well established that additional educational attainment above lower secondary yields higher returns. We find that these returns are mediated by the job transitions, especially for individuals with vocational education. We then study whether the job-to-job transition explains the differences in the returns to educational attainment and find evidence of positive returns of the movement from employee to self-employed. We show that successful employee voluntary move to self-employment to maximize their earnings, while early spell of self-employment tends to have a lasting negative effect on earnings. Our analysis partially explains why self-employment is the top final destination for many workers in developing countries.

Misaligned Meaning: Couples’ Work-Orientation Incongruence and Their Work Outcomes

This research investigates the relationship between couples’ work-orientation incongruence—the degree to which romantic partners view the meaning of their own work differently—and their ability to succeed in making job transitions and experiencing satisfaction with the jobs they hold. We use a social information-processing approach to develop arguments that romantic partners serve as powerful social referents in the domain of work. By cueing social information regarding the salience and value of different aspects of work, partners with incongruent work orientations can complicate each other’s evaluation of their own jobs and the jobs they seek. In a longitudinal study of couples in which one partner is searching for work, we find that greater incongruence in couples’ calling orientations toward work relates to lower reemployment probability, a relationship that is mediated by an increased feeling of uncertainty about the future experienced by job seekers in such couples. Calling-orientation incongruence also relates to lower job satisfaction for employed partners over time. We contribute to the burgeoning literature on the role romantic partners play in shaping work outcomes by examining the effect of romantic partners’ perception of the meaning of work, offering empirical evidence of the ways in which romantic partners influence key work and organizational outcomes. Our research also contributes to the meaning of work literature by demonstrating how work-orientation incongruence at the dyadic level matters for individual work attitudes and success in making job transitions.

Unemployment prevention: The role of Human Resource Management in job-to-job transitions in the event of redundancy

In downsizing organisations, redundant workers suffer from insecurities about work and income. Social security provides income security to the unemployed in the event of job loss. The role played by employers in unemployment prevention for redundant workers, and the effects on unemployment spells and transitions on the labour market, are neglected in both the social policy and HRM literatures. This article addresses the following question: Which factors play a role in the decision to offer job-to-job support and in determining its effect? This article provides the context for the theoretical assumptions regarding why employers initiate job-to-job measures for redundant employees and distinguishes the different types of measures based on a literature review. Secondly, this article contributes to empirical knowledge in the field of unemployment prevention among employers and the effects of job-to-job activities facilitated by employers on redundant workers’ unemployment spells. A two-wave study was conducted on a sample of 2,258 Dutch redundant workers. The study shows that age, breadwinner status and gender are important predictors of unemployment duration after involuntary dismissal. The findings show that investing in the human capital of redundant workers by providing training and education and individual coaching, for example, are associated with a reduced unemployment spell. In our model, in which we controlled for other variables, we found that when one received training, education or individual coaching shortly before or after the dismissal, one was unemployed for an average of almost three months less.