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Record W4392713323 · doi:10.54097/hbem.v19i.12105

Analysis of KFC's Marketing Strategy on the Short Video Platform

2023· article· en· W4392713323 on OpenAlexaff

Bibliographic record

VenueHighlights in Business Economics and Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicMarketing and Advertising Strategies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBusinessMarketingMarketing strategyAdvertisingComputer science

Abstract

fetched live from OpenAlex

The target of this investigation and analysis is KFC, which is an internationally famous fast-food brand founded in the United States and has a strong market share all over the world with a huge international customer base. This study is mainly about the marketing strategy of KFC. To be precise, KFC's marketing strategy using short video platform and the effectiveness of current methods. With the advent of the new media era, short video is one of the most fancy and effective marketing channels. Therefore, KFC's research goal was to identify key aspects of its marketing strategy on short video platforms and evaluate how KFC currently utilizes these platforms for promotions. To achieve the set objectives, the methodology will employ two research methods. A literature survey, including academic and trade publications, will be conducted to gain insight into the use of short video platforms in marketing strategies such as KFC; In addition, a case study of KFC's short video marketing campaign will be conducted to measure its impact and effectiveness.

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 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.025
GPT teacher head0.221
Teacher spread0.196 · 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 teacher head, 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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