Cognitive and affective processes underlying career change
Bibliographic record
Abstract
Purpose Aligning social identity and career identity has become increasingly complex due to growth in the pursuit of meaningful careers that offer very long‐term personal satisfaction and stability. This paper aims to explore the complex cognitive and affective thought process involved in the conscious planning of voluntary career change. Design/methodology/approach A review of recent findings relevant to voluntary career change decisions was performed in order to develop a better understanding of psychological and sociological processes contributing to the pursuit of an MBA degree and subsequent employee mobility. Findings Complex rational and emotional thoughts contribute to the definition and pursuit of proximal and distal career goals which stimulate self‐efficacy drives as they are achieved. Practical implications Because realistic forecasting of very long‐term distal goals is extremely challenging, career seekers must carefully consider how proximal and distal goal pursuit, such as an MBA degree, contribute to personal identity. Goal pursuit merely for the sake of advancing self‐efficacy will likely prove insufficient to anchor individuals within a career and cement their identity. Social implications As part of their career change strategy, individuals frequently chose to enrol in an MBA program to rapidly develop competencies and experiment with new career options. Consequently, there is a growing disconnection between the career options offered by employers and the choices that employees are seeking. Originality/value The paper explores the psychological processes that contribute to the pursuit of “boundaryless” careers. Boundaryless career growth is attainable through improvements in communication that aid the definition of “reality”.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".