Family businesses navigating the COVID-19 pandemic through a gender perspective: the role of external and internal factors in stimulating dynamic capability development
Bibliographic record
Abstract
Purpose The paper aims to decipher, through intertwined external and internal perspectives, how female and male owners of family businesses (FB) that have been affected by the pandemic develop new capabilities to respond to the market's crisis-related needs. Specifically, this study seeks to decipher the role of external support, mediated by the owner's psychological capital (i.e. internal perspective) and moderated by gender, on the development of capabilities related to the market's changing needs, drawing on the dynamic capabilities conceptualization. Design/methodology/approach A sample of responses from 261 Canadian FB owners was generated during the pandemic, and online questionnaires were distributed. Findings Regression analyses and Hayes' PROCESS tool revealed that while external support directly invigorates capability development, external support is also mediated by psychological capital and moderated by gender, so that female owners were found less likely to use external support for capability development than men. These findings are explained by women's traditional responsibility in FB of protecting the family from external circumstances. Nevertheless, both women and men orchestrated external support, due to the higher psychological capital of FB, to develop capabilities that respond to pandemic-related market needs. Originality/value This study explores and demonstrates the unique navigation of FB owners during crises, and the role of the owner's gender in pursuing capability development. The study's value is in interconnecting external and internal perspectives while probing FB during crises. Implications for the ecosystem's conduct toward FB are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".