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The Structural Relationships among Shopping Orientation, Perceived Value, Concentration, and Purchase Intention in Restaurant Mobile Commerce

  • Cho, Dong-Seok (School of Hospitality and Tourism Management, Kyungsung University) ;
  • Reid, Earl L. (School of Hospitality and Tourism Management, Kyungsung University) ;
  • Lee, Hae-Young (School of Hospitality and Tourism Management, Kyungsung University)
  • Received : 2016.12.13
  • Accepted : 2017.01.17
  • Published : 2017.01.31

Abstract

With the increasing popularity of mobile commerce, restaurant service has become one of the leading service categories. Thus, this study attempted to understand the shopping behavior of restaurant mobile consumers by focusing on their shopping orientations. Specifically, this study investigated the structural relationships among shopping orientations, perceived value, concentration, and purchase intention in restaurant mobile commerce. Data analysis employing a structural equation approach was carried out for this study. Results revealed that, first, a consumer's shopping orientations was found to have a positive influence on perceived value, with time/convenience orientation possessing a stronger influence on perceived value than other factors (economic and hedonic). Second, a consumer's perceived value was found to affect concentration and purchase intention. Third, a consumer's concentration also appeared to influence purchase intention.

Keywords

References

  1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, 665-694. https://doi.org/10.2307/3250951
  2. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
  3. Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework. Psychology and Marketing, 20(2), 123-138. https://doi.org/10.1002/mar.10063
  4. Brown, M., Pope, N., & Voges, K. (2001). Buying or browsing? An exploration of shopping orientations and online purchase intention. European Journal of Marketing, 37(11), 1666-1684. https://doi.org/10.1108/03090560310495401
  5. Chae, J. M. (2016). Consumer shopping orientation and perceived value according to the level of use of mobile fashion shopping. The Research Journal of Costume Culture, 24(1), 79-92. https://doi.org/10.29049/rjcc.2016.24.1.79
  6. Chang, H. H., Wang, Y. H., & Yang, W. Y. (2009). The impact of e-service quality, customer satisfaction and loyalty on e-marketing: Moderating effect of perceived value. Total Quality Management, 20(4), 423-443. https://doi.org/10.1080/14783360902781923
  7. Cho, D. S., & Lee, H. Y. (2014). The impact of characteristics of restaurant mobile commerce on purchase intention and moderating effect of hedonic shopping orientation. Foodservice Industry Journal, 10(4), 43-53.
  8. Cho, D. S., & Lee, H. Y. (2015). Social presence, flow, and E-loyalty: The moderating role of perceived value in restaurant mobile environments. Journal of Hospitality & Tourism Studies, 17(6), 184-204.
  9. Choi, W. S., & Lee, S. B. (2012). The effect of servicescape of an eco-friendly restaurant on customer perceived value, attitude and behavior intention. Korean Journal of Culinary Research, 18(5), 45-62.
  10. Cyr, D., Hassanein, K., Head, M., & Ivanov, A. (2007). The role of social presence in establishing loyalty in e-service environments. Interacting with Computers, 19(1), 43-56. https://doi.org/10.1016/j.intcom.2006.07.010
  11. Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307-319. https://doi.org/10.2307/3172866
  12. Guo, Y. M., & Klein, B. D. (2009). Beyond the test of the four channel model of flow in the context of online shopping. Communications of the Association for Information Systems, 24, 837-856.
  13. Han, J. H., & Koh, A. R. (2001). Female adolescents hedonic shopping orientation and store image as related to store patronage intention. Journal of Korean Society of Clothing and Textiles, 25(5), 833-844.
  14. Hawkins, D. I., Best, R. J., & Coney, K. A. (2001). Consumer behavior: Building marketing strategy (8th ed). Boston, MA: Irwin/McGraw hill.
  15. Hwang, J. S., & Yang, H. Y. (2006). Adolescent's lifestyle groups: Clothing shopping orientation and online clothing purchasing behavior. Journal of Korean Society of Clothing and Textiles, 30(1), 71-82.
  16. Jin, K. M., & Jang, S. J. (2016). A study on the intention to use of airlines mobile app according to the planned behaviour and flow experience. Korean Journal of Tourism Research, 31(4), 325-344.
  17. Joreskog, K. G., & Sorbom, D. (1993). LISREL8: Structural equation modeling with the SIMPLIS command language. Hillsdale, NJ: Lawrence Erlbaum Associates Inc.
  18. Ju, K. W., & Lee, E. J. (2015). The effect of shopping orientation, fashion innovativeness and perceived mobile benefits on mobile clothing purchase. Journal of the Korean Society of Fashion Design, 15(2), 147-164.
  19. Kim, J. G., & Song, K. S. (2010). The effect of perceived quality and value on customer commitment and loyalty in chain-typed coffee houses. Journal of Foodservice Management Society Korea, 13(5), 67-93.
  20. Kim, J. Y., & Ha, K. S. (2011). Analysis of factors that affect the preference for imported clothing and imported copy clothing products by the tendency of consumer's clothing shopping. Journal of Consumption Culture, 14(2), 45-68. https://doi.org/10.17053/jcc.2011.14.2.003
  21. Kim, S. H., Kwon, S. M., & Seo, Y. E. (2009). A study on the member's perceived value, satisfaction and commitment for travel product in online travel community. Journal of Tourism & Leisure Research, 21(3), 7-24.
  22. Kim, S. H., & Oh, S. H. (2000). The determinants of repurchase intentions in the service industry: Customer value, customer satisfaction, switching costs, and attractiveness of alternatives. Journal of Korean Marketing Association, 17(2), 25-55.
  23. Kim, S. H., & Park, K. H. (2010). The relationships of shopping orientation, price perception, and purchase satisfaction of Internet buying agent service users. Fashion & Textile Research Journal, 12(4), 450-458. https://doi.org/10.5805/KSCI.2010.12.4.450
  24. Korea Internet & Security Agency (2015). 2015 Survey on the Mobile Internet Usage Executive Summary.
  25. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223. https://doi.org/10.1287/isre.13.2.205.83
  26. Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887-896. https://doi.org/10.1016/j.chb.2009.03.003
  27. Lee, H. J. (2016). A study of continuance use for hotel booking mobile app : Assessing the moderating role of online review credibility and membership benefit. Korean Journal of Tourism Research, 31(3), 135-155.
  28. Lee, M. S., Park, J. H., & Kim, D. Y. (2001). A study on the effect of Internet shopping values on purchase intention. Journal of Korean Marketing Management Association, 6(1), 61-84.
  29. Li, H., Kuo, C., & Russell, M. G. (1999). The impact of perceived channel utilities, shopping orientation, and demographics on the consumer's online buying behavior. Psychographics of the Consumers in Electronic Commerce, 5(2), 1-20.
  30. Lim, S. Y., & Na, Y. J. (2005). Adolescents' shopping orientation and price perception according to their experience on Internet shopping mall. Journal of Korean Society of Clothing and Industry, 7(6), 594-600.
  31. Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computer in Human Behavior, 25(1), 29-39. https://doi.org/10.1016/j.chb.2008.06.002
  32. Mittal, B., & Sheth, J. (2001). Value space: Winning the battle for market leadership. New York, McGraw Hill.
  33. Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
  34. Na, Y. K., & Suh, H. S. (2007). The effect of Internet shopping mall characteristics, consumer shopping propensity on perceived shopping values and satisfaction. Journal of Korean Society of Clothing and Industry, 9(6), 626-636.
  35. Nam, M. W., & Kim, K. K. (2003). A study on the clothing benefits and the source of information of Korean female university students according to shopping orientation. Family and Environment Research, 41(9), 55-67.
  36. Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: A research agenda. Journal of the Academy of Marketing Science, 28(1), 168-174. https://doi.org/10.1177/0092070300281015
  37. Park, J. H., & Jin, Y. H. (2007). The influence of hedonic value in tourism shopping behavior. Korean Journal of Tourism Research, 21(4), 121-138.
  38. Ryu, K., Han, H., & Kim, T. (2008). The relationships among overall quick-casual restaurant image, perceived value, customer satisfaction, and behavioral intentions. International Journal of Hospitality Management, 27(3), 459-469. https://doi.org/10.1016/j.ijhm.2007.11.001
  39. Seock, Y., & Bailey, L. R. (2007). The influence of college students' shopping orientations and gender difference on online information searches and purchase behaviors. Internet Journal of Consumer Studies, 32, 113-121.
  40. Shim, S., & Kotsiopulos, A. (1992). Patronage behavior of apparel shopping: Part I. Shopping orientations, store attributes, information sources, and personal characteristics. Clothing and Textiles Research Journal, 10(2), 48-57. https://doi.org/10.1177/0887302X9201000208
  41. Son, H. J., & Joo, H. S. (2008). Effects of hotel customer perceived value, customer satisfaction and switching costs on behavioral intention. Hospitality and Tourism Studies, 10(3), 116-129.
  42. Suh, B. W., & Ahn, T. H. (2012). The relationships among perceived value of service, services switching costs, and customer loyalty in seafood restaurants. Korean Journal of Food Marketing Economics, 29(1), 17-36.
  43. Swaminathan, V., Lepkowska, W. E., & Rao, B. P. (1999). Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange. Journal of Computer-Mediated Communication, 5(2), Available AT: http://www.ascusc.org/jcmc/vol5/issue2/swaminathan.htm
  44. Tai, S. H. C. (2008) Relationship between the personal values and shopping orientation of Chinese consumers. Asia Pacific Journal of Marketing and Logistics, 20(4), 381-395. https://doi.org/10.1108/13555850810909713
  45. Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment system success: A validation of the DeLone and McLean model of information system success. Government Information Quarterly, 25(4), 717-733. https://doi.org/10.1016/j.giq.2007.06.002
  46. Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: Implications for designing mobile shopping services. Journal of Consumer Marketing, 27(3), 262-270. https://doi.org/10.1108/07363761011038338
  47. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22. https://doi.org/10.2307/1251446
  48. Zhou, T., Li, H., & Liu, Y. (2010). The effect of flow experience on mobile SNS users' loyalty. Industrial Management & Data Systems, 110(6), 930-946. https://doi.org/10.1108/02635571011055126