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Record W1524849781 · doi:10.1108/17506200810913926

Aligning personal and entrepreneurial vision for success

2008· article· en· W1524849781 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Enterprising Communities People and Places in the Global Economy · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsAcadia UniversityAthabasca University
Fundersnot available
KeywordsNegotiationVisionEntrepreneurshipNova scotiaPsychologyProcess (computing)Business modelPublic relationsMarketingSociologyBusinessPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Purpose While there is no definitive profile of the successful entrepreneur or prescribed pathway for success, research suggests that individuals who proactively accommodate factors that push and pull them into entrepreneurship, align their personal and entrepreneurial visions, and to some extent, build emotional intelligence (EQ), are more likely to succeed. This paper aims to describe an entrepreneur counseling process developed and used by the Acadia Centre for Social and Business Entrepreneurship (ACSBE), located in Nova Scotia, Canada. Design/methodology/approach The authors propose an entrepreneur's success, negotiation of push and pull factors, and EQ are all linked, and the ACSBE counseling model draws on these. The case study method was used. ACSBE staffs were interviewed regarding the entrepreneur counseling process, counselor‐training sessions were observed and documents were reviewed. Two ACSBE clients, who together started a successful fair‐trade business, were interviewed for their insights regarding the ACSBE counseling model and their own experiences starting their business. Findings The responses of the ACSBE clients illustrate a successful application of the ACSBE Entrepreneurial Decision Making Cycle©. Their personal values, business strategies and performance were linked to promote success personally and for society. Both entrepreneurs were authentic, self‐aware and empathetic individuals who were able to hone their EQ and develop sound business acumen with assistance of the ACSBE counseling model. Research limitations/implications The analysis of the ACSBE counseling model and its success in this case leads to the question of whether the application of the ACSBE Entrepreneurial Decision Making Cycle can predict those more likely to succeed in an entrepreneurial venture. In order to address this, further research of the ACSBE decision tool is recommended. Originality/value The ACSBE Entrepreneurial Decision Making Cycle is unique. It should be of interest to entrepreneur counselors and researchers of entrepreneurship.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.366
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.018
GPT teacher head0.251
Teacher spread0.233 · 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