Career shock and the impact of stress, emotional exhaustion, and resources on entrepreneurial career commitment during the COVID-19 pandemic
Bibliographic record
Abstract
Purpose The purpose of this study is to investigate how a career shock, like the COVID 19 pandemic, decreases entrepreneurial career commitment (ECC). The authors look at the specific effect of career shock on stress and emotional exhaustion mediating the commitment, and how organizational and relational resources offset the shock to keep the entrepreneurs committed to their career. Design/methodology/approach This study used a two-wave sample of 365 entrepreneurs collected four months apart. The authors initially recruited entrepreneurs three months after the pandemic started, then four months later, and tested these ideas with longitudinal data. The design was informed by the stress-strain-outcome (SSO) model to investigate career shock as stressors to entrepreneurs that are likely to produce emotional exhaustion and a decline in ECC. Findings The findings demonstrate that career shock affects stress, which in turn leads to a decline in commitment through the mediation effect of emotional exhaustion. Organizational resources (e.g. access to finance) do not impact ECC, stress or emotional exhaustion. However, relational resources (e.g. quality emotional support) are important for ECC by supporting a decrease in stress and emotional exhaustion. Research limitations/implications This study makes three main contributions. Firstly, it advances career shock research in entrepreneurship, emphasizing its role in explaining entrepreneurial career commitment through stress-strain mediation. Secondly, it adds to the understanding of entrepreneurial career commitment and its impact on persistence in entrepreneurship and entrepreneurial exit. Lastly, it supports the relevance of the Stress-Strain-Outcome model in entrepreneurship, demonstrating how career shock can decrease entrepreneurial career commitment through stress and emotional exhaustion. Further research is needed to explore the interaction of career identity and career planning in maintaining career resilience amidst career shocks. Practical implications This study has practical implications for policymakers and service providers in entrepreneurship. It highlights the significance of resources, particularly relational resources, in maintaining psychological health and entrepreneurial career commitment (ECC). The findings support the importance of the Stress-Strain-Outcome (SSO) model in entrepreneurship, emphasizing the need for entrepreneurs to have access to relational resources as coping mechanisms. Policymakers and service providers should focus on enhancing entrepreneurs' capacity to acquire, protect, and develop relational resources. Additionally, the study suggests that entrepreneurs should seek access to both relational and organizational resources to effectively navigate career shocks, such as the pandemic. Further research is needed to explore the role of other types of resources, such as social capital and psychological capital, in entrepreneurial well-being and persistence. Originality/value This study demonstrates that a career shock affects stress, which in turn leads to a decline in commitment only through the mediation effect of emotional exhaustion. The panel/longitudinal data analysis demonstrates the causality in the process, highlighting the positive role of the entrepreneur's relational resources. Specifically, it shows that an increase in access to relational resources causes a decrease in stress and emotional exhaustion, which in turn causes ECC to improve. Entrepreneurs are ill-equipped to face a career shock if they lack these resources.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".