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Record W4200610826 · doi:10.52547/jabm.2.3.15

Designing A Marketing Model Based On Entrepreneurship And Innovation In Knowledge-Based Companies

2021· article· en· W4200610826 on OpenAlexaff
amir azadarmaki, Arefeh Davoodi, amirreza alizadehmajd

Bibliographic record

VenueJournal of Approach in Business Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategy and Innovation
Canadian institutionsASTER
Fundersnot available
KeywordsEntrepreneurshipBusinessKnowledge managementMarketingComputer science

Abstract

fetched live from OpenAlex

بازاریابی از مهم‌ترین ارکان هر کسب‌وکاری است اما بازاریابی به روش‌های معمول دیگر پاسخگوی محیط کسب‌وکار پرتلاطم که با ریسک و عدم اطمینان همراه است، نیست. ماهیت برجسته بازاریابی و کارآفرینی، جستجوی فرصت‌هایی برای تبدیل آن‌ها به ایده‌های عملی و بازار است. با ارزیابی مدل‌های موجود در این حوزه کمبود مدلی برای شرکت‌های دانش‌بنیان دیده شد. پژوهش حاضر ازلحاظ هدف کاربردی و ازلحاظ روش کیفی می‌باشد ابتدا داده‌های کیفی از طریق تحلیل مضمون و مصاحبه‌های نیمه ساختاریافته گردآوری گردید، سپس توسط خبرگان شاخص‌های غربال شدند. در ادامه شاخص‌های مستخرج در راستای خلق مدل، توسط خبرگان و در جلسه گروه کانونی گروه‌بندی گردید. هر یک از مؤلفه‌ها و مفاهیم مرتبط جداگانه توسط نرم‌افزار ماکس کودا تحلیل و ترسیم شده است. درنهایت مدل این پژوهش بر اساس بازاریابی مبتنی بر کارآفرینی و نوآوری به چهار بعد بازاریابی بافتاری، شبکه‌های کارآفرینانه، هسته هدایتگر درونی و کارآفرینی نوآفرینی که هرکدام از این موارد دارای چندین مؤلفه می‌باشد، طراحی گردید.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.047
GPT teacher head0.246
Teacher spread0.200 · 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 designTheoretical or conceptual
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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