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A Study on the Customers' Eating Out Behaviors in Food Consumption Patterns

  • CHA, Seong Soo (Department of Food Science and Service, Eulji University) ;
  • RHA, Young Ah (Department of Food Science and Service, Eulji University)
  • Received : 2021.01.25
  • Accepted : 2021.02.25
  • Published : 2021.02.28

Abstract

This study aims to empirically analyze the differences between groups of customers who prefer delivery food, which is rapidly growing amid the COVID-19 pandemic, and those who prefer the traditional practice of visiting offline restaurants. Based on the eating out lifestyle, participants were divided into three groups: participants who prefer food delivery, those who prefer to visit restaurants, and those who favor both. The comparison of differences between the groups was analyzed. A total of 215 questionnaires were distributed, and reliability and validity were verified with a sample of 201 copies, excluding 14 unreliable respondents. Then, a multivariate analysis of variance was used to compare the groups. The results showed that regarding offline restaurants, the group of customers who prefer to visit restaurants valued their atmosphere, while the customers who prefer delivery food valued the reputation of the restaurant. Regarding delivery-specialized restaurants, the group of customers who prefer delivery placed greater value on coupon events and payment convenience than other groups. The results revealed that the difference between the customers who prefer to visit restaurants and those who prefer delivery food was identified through empirical analysis, which provides strategic implications for catering companies and restaurant industries during COVID-19 in Korea.

Keywords

References

  1. Assael, H. (1984). Consumer behavior and marketing action. Boston, Mass: Kent Pub. Co.
  2. Burton, S., Garretson, J. A., & Velliquette, A. M. (1999). Implications of accurate usage of nutrition facts panel information for food product evaluations and purchase intentions. Journal of the Academy of Marketing science, 27(4), 470-480. https://doi.org/10.1177/0092070399274006
  3. Cha, S. S. (2020). Customers' intention to use robot-serviced restaurants in Korea: relationship of coolness and MCI factors. International Journal of Contemporary Hospitality Management. 32(9), 2947-2968. https://doi.org/10.1108/IJCHM-01-2020-0046
  4. Cha, S. S., & Noh, E. J. (2020). A Study on HMR Selection Attributes and Health Values of College Students. Journal of Industrial Distribution & Business, 11(10), 17-25. https://doi.org/10.13106/JIDB.2020.VOL11.NO10.17
  5. Cha, S. S., & Seo, B. K. (2019). Cafeteria Use by Students and Effect of Selection Attributes on Satisfaction. The Journal of Asian Finance, Economics, and Business, 6(1), 187-194. https://doi.org/10.13106/jafeb.2019.vol6.no1.187
  6. Cha, S. S., & Seo, B. K. (2020). The Effect of Food Delivery Application on Customer Loyalty in Restaurant. The Journal of Distribution Science, 18(4), 5-12. https://doi.org/10.15722/jds.18.1.202001.5
  7. Cha, S. S., & Wang, X. W. (2020). A Cross-National Study on Selection Attributes of Instant Noodle between China and Korea. Journal of Food Products Marketing, 26(1), 1-16. https://doi.org/10.1080/10454446.2019.1711483
  8. Cheng, A., & Koo, C. (2018). The Impact of Perceived Value and Information Quality on Continued Usage of Delivery Apps. The Journal of Information Systems, 27(4), 129-147. https://doi.org/10.5859/KAIS.2018.27.4.129
  9. Danesi, G. (2012). Pleasures and stress of eating alone and eating together among French and German young adults. Menu: the Journal of Eating and Hospitality Research, 1, 77-91.
  10. Engel, J. F., & Blackwell, R. D. (1982). Consumer behavior. Chicago: Dryden press.
  11. Fodness, D. (1994). Measuring tourist motivation. Annals of tourism research, 21(3), 555-581. https://doi.org/10.1016/0160-7383(94)90120-1
  12. Glanz, K., Rimer, B. K., & Viswanath, K. (2008). Theory, research, and practice in health behavior and health education(4th ed.). Jossey-Bass.
  13. Grunert, K. G., Wills, J. M., & Fernandez-Celemin, L. (2010). Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK. Appetite, 55(2), 177-189. https://doi.org/10.1016/j.appet.2010.05.045
  14. Hong, D. Y. (2002). The research regarding the positioning of delivery service quality. J Foodservice Management, 5, 161-180.
  15. JeGal, Y. H., Hong, K. W., & Ryoo, K. M. (2009). A study on teenagers' selection attribute and satisfaction of fast food menu. Culinary science and hospitality research, 15(2), 108-120. https://doi.org/10.20878/cshr.2009.15.2.009009009
  16. Jin, E. K., Park, Y. H., & Lee, J. H. (2014). The effect of attributes of selecting Korean restaurants pursuant to food service consumption propensity on behavioral intent. Culinary science and hospitality research, 20(1), 189-204. https://doi.org/10.20878/cshr.2014.20.1.015
  17. Jin, Y. H. (2000). A study on determinant factors and choice intention for family restaurant dining in Seoul. Culinary Science & Hospitality Research, 6(2), 157-173.
  18. Ju, S. M. (2016). Influence of Japanese restaurant menu select attribute on consumer preferences and satisfaction-Focused on mediating effects of customer preferences. Culinary science and hospitality research, 22(4), 353-364. https://doi.org/10.20878/cshr.2016.22.4.025025025
  19. Jung, H. S., & Cho, Y. B. (2019). The effect of Korean restaurant customer's lifestyle on menu selection attribute, customer's appraisal value and revisit. Culinary Science & Hospitality Research, 25(12), 155-165. https://doi.org/10.20878/CSHR.2019.25.12.018
  20. Kang, S. M., & Chong, Y. K. (2013). Effect of customers' experiential value on channel satisfaction and loyalty based on purchase channels. Journal of Tourism Science, 37(8), 189-211.
  21. Kim, J. H., & Ryu, K. S. (2014). The effects of consumption value to HMR brand on brand satisfaction, brand trust, and brand loyalty. Journal of Foodservice Management Society of Korea, 17(2), 130-160.
  22. Ko, S. H. (2014). Research on the consumer's delivery service quality perception and satisfaction in foodservice industry based on the types of food-related life-style. The Journal of the Korea Contents Association, 14(8), 406-415. https://doi.org/10.5392/JKCA.2014.14.08.406
  23. Kotler, P., Bowen, J. T., Makens, J. C., & Baloglu, S. (2017). Marketing for hospitality and tourism Seventh Edition. Essex: Pearson Limited Education.
  24. Lee, A. J., Chang, M. H., & Beak, N. G. (2007). A study on consumer's choice attributes of Korean style restaurants based on consumer's dining-out motives. Korea Hotel Resort Assoc, 6(2), 209-220.
  25. Namkung, Y., & Jang, S. (2010). Service failures in restaurants: which stage of service failure is the most critical? Cornell Hospitality Quarterly, 51(3), 323-343. https://doi.org/10.1177/1938965510364488
  26. Park, H. W., & Na, K. (2015). Study on restaurant franchise service reflected on a single household consumer patterns: focus on 2030 generation. J Digit Des, 15(3), 697-704.
  27. Park, Y. S., Lee, S. I., & Choi, I. (2009). A study on the consumer's service quality perception based on the types of life-style. Journal of Global Academy of Marketing Science, 19(2), 53-67. https://doi.org/10.1080/12297119.2009.9707291
  28. Pavesic, D. V. (1989). Psychological aspects of menu pricing. International Journal of Hospitality Management, 8(1), 43-49. https://doi.org/10.1016/0278-4319(89)90030-3
  29. Steenkamp, J. B. E. (1997). Dynamics in consumer behavior with respect to agricultural and food products. In Agricultural marketing and consumer behavior in a changing world (pp. 143-188). Springer, Boston, MA.
  30. Yoo, R., Lee, E. J., & Jeon, Y. H. (2010). A study on the menu choice factors and customer satisfaction of Korean restaurant. Korea Hotel Resort Res, 9(2), 71-87.
  31. Zhu, H., Wang, Q., Yan, L., & Wu, G. (2009). Are consumers what they consume?-Linking lifestyle segmentation to product attributes: an exploratory study of the Chinese mobile phone market. Journal of Marketing Management, 25(3-4), 295-314. https://doi.org/10.1362/026725709X429764
  32. Zikmund, W. G., D'Alessandro, S., Winzar, H., Lowe, B., & Babin, B. (2014). Marketing research. Cengage Learning.

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