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Record W1583942916

Family Business Succession: How Men and Women Predecessors Can Bring Credibility to Their Successors?

2014· article· en· W1583942916 on OpenAlexaboutno aff
Vivi Koffi, Izold Guihur, Tania Morris, G. Fillion

Bibliographic record

Venue˜The œentrepreneurial executive · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsSuccessor cardinalSuccession planningFamily businessCredibilityEcological successionMarketingProduct (mathematics)BusinessManagementSociologyPolitical sciencePublic relationsEconomicsLawMathematics
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Known for their major contribution to economic growth, family businesses represent close to 75% of all entrepreneurships in Canada. They generate about 45% of the Canadian net growth product, create employment for 50% of the labour market, and create each year 70% to 85% of all new jobs (Bruce & Picard, 2005; Deloitte & Touche, 1999). However, according to a study from Bruce and Picard (2006) on Canadian family business predecessors, 41% of them will transfer their business to a successor within the next five years, reaching a proportion of 71% in the upcoming 10 years. And only 35% of family business predecessors say that they have a well-established plan for selling or transferring their business, notwithstanding the fact that the successions are known to be a long and complex process with a very low success rate. According to numerous authors, successful successions depend on identifiable factors. For some authors, the transition depends not only on the predecessor's will to retire (Lansberg & Astrachan, 1994) or to let go (Bruin de Pontet et al., 2007), but also on the succession planning (Sharma, 2004; St-Cyr & Richer, 2007) and on the successor's preparation and ability to operate the business (Venter et al., 2005). Others identify the predecessor's ability to build a good relationship with the successor (Cabrera-Suarez, 2005; De Massis et al., 2008; Gartia-Alvarez et al., 2002) as a basis for a stable future. Some researchers are more interested in the abilities such as the successor's skills to assume his/her leader's role (Mitchell et al., 2009; Venter et al., 2005), or in his/her degree of experience (Le Breton-Miller et al., 2004), or even in the successor's commitment, satisfaction, and motivation (De Massis et al., 2008). Finally, some researchers consider that in order a transfer be successful: a) sound and ethical values must be transferred to the successor (Gartia-Alvarez et al., 2002); b) assistance must be provided for the successor's development (Cabrera-Suarez, 2005); c) the successor must be feeling involved into the process (Haberman et al., 2007; Koffi, 2008); and finally, the successor must have credibility (Barach et al., 1988; Bayad & Barbot, 2002). Despite of the mass of research conducted during the past 30 years on the problem of successions in family businesses, very few researchers have focused on the process of succession when the business owner is a woman, and even less on how she should proceed to set up her successor (Salganikoff, 1990; Sharma, 2004; Sonfield & Lussier, 2009). Particularly since in all likelihood many of the family business predecessors struggling with the difficulties of succession will be women. Indeed, Statistics Canada as well as Industry Canada report that more than 40% of the Canadian entrepreneurs are women (St-Cyr & Richer, 2007). In addition, the entire body of research realized on women entrepreneurship and their leadership style, from the study by Hisrich and Brush in 1984 to those of Buttner in 2001, shows that the behavior of women entrepreneurs towards their personal and business circles differs from those of their male counterparts. So the specific leadership style and behavior of men and women entrepreneurs and the urgency to support their successors in a successful transfer of their family business is certainly important and relevant as a research topic in itself. Its main objective is to better understand and describe the different behaviors adopted by men and women predecessors of family businesses in transferring credibility to their successor in the eyes of the employees with which they have built their business, especially when credibility appears to be a necessity for the enterprise durability and survival (Barach et al., 1988; Sathe, 1985). In other words, what are the behaviors to be adopted by men and women predecessors to ensure the credibility of their successors? And, what could characterize a credible successor in the eyes of men and women predecessors, employees, and successors? …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.205
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2014
Admission routes1
Has abstractyes

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