MétaCan
Menu
Back to cohort
Record W2220240344 · doi:10.1177/0894486515622722

Family Governance at Work

2016· article· en· W2220240344 on OpenAlex
Alfredo De Massis, Josip Kotlar, Federico Frattini, James J. Chrisman, Mattias Nordqvist

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFamily Business Review · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCorporate governanceBusinessFamily businessIncentiveNew product developmentProduct (mathematics)Work (physics)Industrial organizationMarketingKnowledge managementProcess managementEconomicsMicroeconomicsComputer scienceFinance

Abstract

fetched live from OpenAlex

A growing body of research is concerned with how family governance influences innovation. Yet the organizational issues that family governance engenders for innovation processes have been largely overlooked. In a study of six small- and medium-size family enterprises, we investigate the design decisions that fit family and business logics to create high-performing new product development programs. Our results reveal three design principles concerning teams, leadership, and incentives that diverge from customary approaches of organizing for new product development, adding important dimensions to the determinants of successful new product development in small- and medium-size family enterprises.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.012

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 head0.025
GPT teacher head0.227
Teacher spread0.201 · 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