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학술논문

The Effect of Perceived Service Quality on Customer’s Repeat Patronage in the University Training Restaurant: OLS and Quantile Regression Approach

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영문명
발행기관
한국자료분석학회
저자명
Sang Hyuck Kim Heung-Chul Oh
간행물 정보
『Journal of The Korean Data Analysis Society (JKDAS)』Vol.12 No.1, 69~81쪽, 전체 13쪽
주제분류
자연과학 > 통계학
파일형태
PDF
발행일자
2010.02.28
4,360

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영문 초록

The purpose of this study is to investigate the relationship between three dimensions of perceived service quality (interaction, physical environment, and outcome quality) and customer repeat patronage for the university training restaurant, as well as to explore how different levels of repeat patronage are influenced by three dimensions of perceived service quality for the university training restaurant. The results of the OLS regression analysis show that two dimensions of service quality, outcome quality and physical quality, are significantly related to repeat patronage, but that there is no significant relationship between interaction quality and repeat patronage. The results of the quantile regression analysis also provide more meaningful and concise ideas. Unlike the results of OLS regression, the results of quantile regression show that physical environment quality and outcome quality do not provide same effect on all level of customer’s repeat patronage. Several different useful strategies may be considered to increase customer’s repeat visits by utilizing the results from quantile regression, rather than the results from OLS regression.

목차

1. Introduction
2. Literature Review
3. Methodology
4. Results
5. Conclusion
References

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APA

Sang Hyuck Kim,Heung-Chul Oh. (2010).The Effect of Perceived Service Quality on Customer’s Repeat Patronage in the University Training Restaurant: OLS and Quantile Regression Approach. Journal of The Korean Data Analysis Society (JKDAS), 12 (1), 69-81

MLA

Sang Hyuck Kim,Heung-Chul Oh. "The Effect of Perceived Service Quality on Customer’s Repeat Patronage in the University Training Restaurant: OLS and Quantile Regression Approach." Journal of The Korean Data Analysis Society (JKDAS), 12.1(2010): 69-81

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