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Record W3200202622 · doi:10.7202/1081421ar

Entrepreneurial Marketing Skills and Small-Scale Business Performance: The Case of Ghana

2021· article· en· W3200202622 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Comparative International Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMarketingBusinessCompetition (biology)Marketing managementScale (ratio)Return on marketing investmentSkills managementMarketing strategyMarketing researchMarketing effectiveness

Abstract

fetched live from OpenAlex

The development of SMEs serves as a tool for creating employment opportunities in developing countries. SME growth can be attributed to how owners and managers use entrepreneurial marketing skills in their day-to-day operations. A quantitative study was used to gain an understanding of the application of marketing skills in SMEs and the development of SMEs in Ghana. Findings indicate that entrepreneurs acquire marketing skills during their years of operation, however, these skills are not in tune with modern business trends and market competition. Establishing marketing departments and equipping business owners with marketing skills enables their ability to deal with volatile consumer demands. Likewise, requisite marketing skills enable market understanding, new marketing approaches, and the design of demand driven products and services

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 score0.122
Threshold uncertainty score0.348

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 communication0.0000.000
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 head0.257
Teacher spread0.239 · 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