Please use this identifier to cite or link to this item: https://dspace.rmutk.ac.th/jspui/handle/123456789/4874
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dc.contributor.advisorDaranee Pimchangthong, advisor-
dc.contributor.authorYang, Yan-
dc.date.accessioned2025-11-18T02:14:31Z-
dc.date.available2025-11-18T02:14:31Z-
dc.date.issued2023-
dc.identifier.other10.14457/RMUTK.the.2023.27-
dc.identifier.urihttps://dspace.rmutk.ac.th/jspui/handle/123456789/4874-
dc.identifier.urihttps://doi.org/10.14457/rmutk.the.2023.27-
dc.descriptionA Thesis Submitted in Partial Fulfillment of The Requirements For The Degree of Master of Management in Management Science Institute of Science Innovation And Culture Rajamangala University of Technology Krungthep Academic Year 2023 Copyright of Rajamangala University of Technology Krungthep, Thailand-
dc.description.abstractThe catering business is exceptionally diverse, with consumers increasingly favoring digital means to enhance the dining experience. Digital marketing is essential in increasing catering companies' competitiveness and market share. This paper will investigate and demonstrate the impact of the independent variable demographic factors, including gender, age, marital status, educational background, occupation, and monthly income, and the dependent variable digital marketing, including the three digital means of social media, online advertising, and online branding on the quality competitiveness of the catering businesses. The study adopts a rigorous quantitative research design, utilizing a comprehensive questionnaire distributed to a sample size of 400 participants. The statistical analysis is multifaceted, encompassing descriptive statistics (frequency, percentage, mean, and standard deviation) and inferential statistics (including independent samples t-test, one-way ANOVA, LSD, and multiple linear regression. The results of the hypotheses found that age, educational background, occupation, and monthly income affect the competitiveness of catering quality. Digital marketing positively relates to quality competitiveness with multiple correlation (R) = .952. The ability to predict the analytical equation is 90.6%.en_US
dc.description.sponsorshipllibrary.oarit@mail.rmutk.ac.then_US
dc.language.isoenen_US
dc.publisherRajamangala University of Technology Krungthep. the Institute of Science, Innovation, and Cultureen_US
dc.subjectInternet Marketingen_US
dc.subjectMaster Degreeen_US
dc.subjectBusiness Enterprisesen_US
dc.subjectCompetitionen_US
dc.subjectRestaurantsen_US
dc.subjectManagementen_US
dc.titleThe Influences of Digital Marketing on Catering Quality Competitivenessen_US
dc.typeThesisen_US
Appears in Collections:Master’s Thesis

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