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Record W3123669786

Institutional Forces and the Written Business Plan

2005· article· en· W3123669786 on OpenAlexaff
Benson Honig, Tomas Karlsson

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMcMaster University
Fundersnot available
KeywordsProfitability indexBusiness planPlan (archaeology)ConformityImitationBusinessInstitutional theoryCoercion (linguistics)MarketingManagementEconomicsFinancePolitical sciencePsychologyLawSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

The factors leading nascent entrepreneurs to expend effort writing business plans are examined and the effect such planning has on new organizations is considered. This is part of a larger consideration within institutional theory about whether or not conformity leads to profitability or survival. There were 396 nascent Swedish entrepreneurs investigated over a four consecutive six-month periods. Both the production of the plan and the outcomes were examined. New organizations are subject to institutional pressure to produce written business plans - they are expected to plan, they imitate other successful organizations, or they are told to plan. The findings show that institutional variables (such as coercion and imitation) predict the likelihood for new organizations to write business plans. The study's results are more in line with institutional predictions and are contrary to rationalist predictions of planning-performance. Conclusions indicate that writing a business plan has no significant effect on the survival or profitability of the new organization. (TNM)

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.204
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2005
Admission routes1
Has abstractyes

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