Modelo Conceitual para Avaliação da Comunicação de Marketing em Franquias de Bens de Consumo
Bibliographic record
Abstract
Objetivo: Analisar a relao entre a comunicao de marketing integrada e suas vantagens para empresas com estratgia de diferenciao via processo de franqueamento.Mtodo: Qualitativo, estudo de dois casos.Originalidade/Relevncia: A mensurao dos retornos econmico-financeiros, como o comportamento do volume de vendas e faturamento permanece relevante na literatura sobre a comunicao de marketing, no entanto, os indicadores considerados de mdio e longo prazo, baseados, por exemplo, no retorno incremental que os clientes atuais e potenciais vo trazer para a empresa ou aprofundamentos do retorno obtido pelo Client Lifetime Value ainda no esto bem compreendidos no contexto das empresas que se diferenciam por meio de franquias.Resultados: Foram definidas trs dimenses para o planejamento da comunicao integrada de marketing, sendo a dimenso do cliente, do franqueador e do franqueado, separando os elementos de cada dimenso e discutindo as implicaes para o aumento do ROI da comunicao de marketing.Contribuies tericas/metodolgicas: O trabalho contribui com a teoria de customer equity, especialmente sobre a comunicao de marketing e a mensurao dos retornos sobre os investimentos, na medida em que apresenta um modelo conceitual que sustenta a comunicao integrada.Contribuies sociais / para a gesto: Apresentar a proposta de como integrar as informaes para o planejamento da comunicao de marketing integrada, envolvendo franqueados, clientes e franquias.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".