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Record W3015624533 · doi:10.3390/su12072939

Effects of Sustainable Brand Equity and Marketing Innovation on Market Performance in Hospitality Industry: Mediating Effects of Sustainable Competitive Advantage

2020· article· en· W3015624533 on OpenAlexaff
Ijaz Hussain, Shaohong Mu, Muhammad Mohiuddin, Rizwan Qaiser Danish, Shrafat Ali Sair

Bibliographic record

VenueSustainability · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsThompson Rivers University
FundersChangjiang Scholar Program of Chinese Ministry of Education
KeywordsMarketingBusinessBrand equityCompetitive advantageStructural equation modelingMarketing managementBrand managementHospitality industryMarketing effectivenessBrand awarenessIndustrial organizationReturn on marketing investmentTourism

Abstract

fetched live from OpenAlex

This study examines the effects of sustainable marketing assets, such as brand equity and marketing innovation, on market performance in the presence of sustainable competitive advantage as a mediator in the hospitality industry. Data were collected from hotel/restaurant customers (N = 360) on a Likert scale from 1= strongly disagree to 5 = strongly agree and analysis was conducted using the structural equation modeling (SEM) technique. The objective of this study is to understand the relationship among brand equity, marketing innovation, sustainable competitive advantage, and market performance in the hotel/restaurant industry. The results show that sustainable marketing assets have positive and significant effects on market performance. This study also demonstrates that sustainable competitive advantage fully mediates the relationship between brand equity and market performance while partially mediating the relationship between marketing innovation and market performance. The findings of this research can contribute to formulating effective marketing strategies for attracting customers, emphasizing sustainable issues in the hospitality sector, such as hotels/restaurants. This research adds practical value to the literature on brand equity, marketing innovation, sustainable competitive advantage, and market performance in the service industry.

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)0.004
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0000.002
Research integrity0.0000.001
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 head0.005
GPT teacher head0.223
Teacher spread0.218 · 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.

Study designObservational
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

Citations83
Published2020
Admission routes1
Has abstractyes

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