Intergenerational Continuity and Change:Exploring Succession Patterns, Decision-Making Factors, and Emerging Themes in Family Business Transitions
Bibliographic record
Abstract
Background: Family businesses contribute significantly to global economies but face unique challenges, notably in succession planning and generational transitions. These challenges are amplified due to the interplay of personal relationships, emotions, and family dynamics. Existing research offers quantitative insights into this field; however, the nuances of human experiences and perceptions in different cultural contexts remain underexplored. This study seeks to bridge this gap through qualitative exploration of family businesses' experiences and perceptions in Sweden and Canada, focusing on succession planning and generational transitions. The research aims to provide a more nuanced understanding, thus contributing to more effective, culturally sensitive, and practitioner-oriented strategies for managing intergenerational transfers. Purpose: This study delves into the complex process of succession in family businesses in Sweden and Canada. By emphasizing practitioners' lived experiences, it aims to identify prevalent patterns, contribute to the current literature, and potentially inform enhanced succession practices. Method: Applying an abductive research approach, the research combined hermeneutic and phenomenological methods, employing semi-structured interviews with nine family businesses six in Sweden and three in Canada as the primary data collection method. This approach allowed for a rich understanding of the phenomena. Conclusion: The research underscores the complexities of succession planning in family businesses, emphasizing the importance of open communication, trust, personal ties, and effective succession planning. Our findings diverge from a one-size-fits-all approach, revealing a multifaceted reality that requires a more adaptable, context-specific approach to succession planning. This research contributes to a deeper understanding of succession processes in family businesses, presenting valuable insights for future research, policy decisions, and practical business strategies.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".