MERAL Myanmar Education Research and Learning Portal
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MARKETING MIX 7Ps, CUSTOMER SATISFACTION AND CUSTOMER LOYALTY OF AMAYAR NADI HOTEL IN MANDA
https://meral.edu.mm/records/12374
https://meral.edu.mm/records/1237493d8b848-ba0b-48b7-ba4a-6be4b0a2e0ca
ba42b1c5-c894-4356-846b-066916318473
| Name / File | License | Actions |
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| Publication type | ||||||
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| Thesis | ||||||
| Upload type | ||||||
| Publication | ||||||
| Title | ||||||
| Title | MARKETING MIX 7Ps, CUSTOMER SATISFACTION AND CUSTOMER LOYALTY OF AMAYAR NADI HOTEL IN MANDA | |||||
| Language | en | |||||
| Publication date | 2025-06-02 | |||||
| Authors | ||||||
| Win Myaing | ||||||
| Description | ||||||
| This study investigates the effect of marketing mix elements, customer satisfaction, and customer loyalty at Amayar Nadi Hotel. The objectives of the study are to examine the effects of various marketing mix elements, including product, price, place, promotion, people, process, and physical evidence, on customer satisfaction. Additionally, the study aims to understand how customer satisfaction influences customer loyalty at the hotel. There are 200 questionnaires completed, and usable data is applied to determine the purposes. The data was analyzed using regression analysis. The major findings of the study reveal that price, promotion, process, and physical evidence show a strong effect on customer satisfaction. Among these, promotion emerged as the most influential factor, closely followed by physical evidence and price, with process also playing a significant role. Furthermore, the results confirm a strong and positive link between customer satisfaction and loyalty, implying that guests who are satisfied with their experiences are more likely to return and recommend the hotel to others. Based on these findings, the study suggests that Amayar Nadi Hotel should focus on improving and maintaining the marketing mix elements to gain customer satisfaction. Furthermore, implement exceptional customer service that creates positive customer experiences and enhances long-term loyalty. | ||||||
| Keywords | ||||||
| Computer Reservation Systems, Coronavirus Disease 2019, Global Distribution Systems, Product, Price, Place, Promotion, People, Process, Physical Evidence, Standard Deviation, Statistical Package for Social Sciences, Stimulus- Organism- Response, Stimulus- Response, Variance Inflation Factors | ||||||
| Thesis/dissertations | ||||||
| UNIVERSITYOF CO-OPERATIVE AND MANAGEMENT,SAGAING | ||||||