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https://dspace.rmutk.ac.th/jspui/handle/123456789/4874Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Daranee Pimchangthong, advisor | - |
| dc.contributor.author | Yang, Yan | - |
| dc.date.accessioned | 2025-11-18T02:14:31Z | - |
| dc.date.available | 2025-11-18T02:14:31Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.other | 10.14457/RMUTK.the.2023.27 | - |
| dc.identifier.uri | https://dspace.rmutk.ac.th/jspui/handle/123456789/4874 | - |
| dc.identifier.uri | https://doi.org/10.14457/rmutk.the.2023.27 | - |
| dc.description | A 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.abstract | The 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.sponsorship | llibrary.oarit@mail.rmutk.ac.th | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Rajamangala University of Technology Krungthep. the Institute of Science, Innovation, and Culture | en_US |
| dc.subject | Internet Marketing | en_US |
| dc.subject | Master Degree | en_US |
| dc.subject | Business Enterprises | en_US |
| dc.subject | Competition | en_US |
| dc.subject | Restaurants | en_US |
| dc.subject | Management | en_US |
| dc.title | The Influences of Digital Marketing on Catering Quality Competitiveness | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Master’s Thesis | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Yan Yang_2023.pdf | 1.07 MB | Adobe PDF | View/Open |
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