A Study of Relationship of Gourmet Blog's Reliability with the Perceived benefits, Perceived Risk and Online Word of Mouth of Eating out Consumer

맛집 블로그의 신뢰성이 외식소비자의 지각혜택, 지각위험, 그리고 온라인구전에 미치는 영향

  • 송흥규 (장안대학교 외식산업과)
  • Received : 2014.10.25
  • Accepted : 2014.12.15
  • Published : 2014.12.30

Abstract

The focus of this study was to investigate the relationships of blog's reliability, perceived benefit, perceived risk and words of mouth by online readers. Data were collected by a total of 228 persons reading actively gourmet blogs. The survey was carried out from August 1 to 15, 2014. Total 228 questionnaires were used for final analysis. Frequency analysis, descriptive statistics, exploratory factor analysis, and reliability analysis were conducted through SPSS 18.0 for final analysis, and regression analysis was conducted through AMOS 18.0 for verification of hypothesis. The hypothesized relationships among the models were tested simultaneously by using a structure equation model(SEM). The study results are like below. First, The reliability of the Gourmet blog could be confirmed again very important variable in the fields of food industry like the previous studies. Second, The reliability of the Gourmet blogs affected on the positive (+)relationship to the perceived benefits, and the negative (-)relationship to the perceived risk. Third, Reliability and perceived benefits in relation to the impact on the online word-of-mouth was positive(+). However, perceived risk was found not to affect on it. Finally, perceived benefits for the reliability of the blog have been identified as the key parameters on the online word-of-mouth. The theoretical contributions of this study and the practical implications are discussed and future research directions are detailed.

본 연구는 맛집 블로그의 신뢰성이 온라인구전에 미치는 영향관계를 실증적으로 분석하여 블로그 마케팅 활동을 하고 있는 외식업계에게 시사점을 제공하고자 하였다. 이를 위해 선행연구에서 다루어온 외식소비자의 지각혜택과 지각위험을 블로그의 신뢰성이 온라인구전에 미치는 매개변수로 채택하였고, 각 변수에 대한 이론적 배경을 중심으로 각각의 구성개념을 도출하여 영향관계를 분석하였다. 연구결과는 첫째, 맛집 블로그의 신뢰성이 미치는 범위에 있어 블로그의 지각혜택은 정(+)의 관계로, 그리고 지각위험은 부(-)의 관계로 영향을 미치는 것으로 나타났으며, 둘째, 맛집 블로그의 신뢰성이 온라인구전에 미치는 영향에서도 정(+)의 관계가 있음을 확인하였다. 셋째, 온라인구전에 미치는 변수들의 관계에서 블로그의 신뢰성과 외식소비자의 지각혜택은 정(+)의 영향관계로 유의했으나, 지각위험은 영향관계에 있지 않았다. 결론적으로 블로그의 신뢰성이 높으면 지각혜택은 높이 평가하고, 지각위험은 감소하는 것으로 요약되며, 온라인구전에 블로그의 신뢰성에 의한 외식소비자의 지각혜택이 온라인구전의 핵심 변수임을 확인하였다.

Keywords

References

  1. 네이버. 2014. 네이버 트렌드 모바일 맛집 검색 조사(http://trend.naver.com/trend.naver).
  2. 미래창조과학부. 2014, "2014 한국인터넷백서". 10-11.
  3. 한국인터넷진흥원. 2014. 인터넷이용실태조사(isis.kisa.or.kr).
  4. Amaro S, Duarte P (2015). An integrative model of consumers' intentions to purchase travel online. Tourism Management 46:64-79. https://doi.org/10.1016/j.tourman.2014.06.006
  5. Assael H (2004). Consumer Behavior-A Strategic Approach. Boston: Houghton Mifflin Co.
  6. Banning SA, Sweetser KD (2007). How much do they think it affects them and whom do they believe? Comparing the third-person effect and credibility of blogs and traditional media. Communication Quarterly 55(4):451-466. https://doi.org/10.1080/01463370701665114
  7. Bauer RA (1960). Consumer behavior as risk taking, in dynamic marketing for a changing world. by Hancook, R.S.(ed) Chicago: American Marketinf Association, 389-398.
  8. Bhatnagar A, Misra AS, Rao HR (2000). On risk, convenience, and internet shopping Behavior. Communications of the ACM 43(11):98-114.
  9. Belch GE, Belch MA (1990). Consumer behavior and Marketing Action. Fourth edition. PWSKent Publishing Company, Boston.
  10. Bickart B, Schindler RM (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing 15(3):31-52. https://doi.org/10.1002/dir.1014
  11. Chai SM, Kim MK (2010). What makes bloggers share knowledge? An investigation on the role of trust. International Journal of Informational Management 30(5):408-415. https://doi.org/10.1016/j.ijinfomgt.2010.02.005
  12. Chatterjee P (2001). Online reviews: Do consumers use them? In M. C. Gilly, & J. Myers-Levy (Eds.), Advances in Consumer Research (pp. 129-134). Provo, UT: Association for Consumer Research.
  13. Choi BK, Ko PS, Cho MS (2005). The behavior of spending money on eating out and the perception of food taste for college students. Journal Culture & Tourism Research 7(1):25-46.
  14. Dawling GR (1999). Perceived risk, in the elgar companion to consumer research and economic psychology. P.E. Earl and S. Kemp(Eds). Cheltenham. UK: Edward Elgar, 419-424.
  15. Elliott KM (2002). Understanding consumer to consumer influence on the web. Doctoral Dissertation. Duke University.
  16. Frewer LJ, Howard, C, Hedderley, D, Shepherd R (1998). Methodological approaches to assessing risk perceptions associated with food-related hazards. Risk Analysis 18(1):95-102. https://doi.org/10.1111/j.1539-6924.1998.tb00919.x
  17. Garbarino E, Johnson MS (1999). The difference roles of satisfaction, trust, and commitment in customer relationships. Journal of Marketing 63(2):70-87. https://doi.org/10.2307/1251946
  18. Gefen D, Straub D (2000). Some antecedents of consumer trust in B2C E-Commerce: Experiments in e-Products and e-Service, Working Paper, 1-35.
  19. Hwang JH, Hwang CS (2010). Characteristics of online child-rearing community and their effects on community loyalty and purchase intention of baby wear. Journal of the Korean Society of Clothing and Textiles 34(7):1138-1148. https://doi.org/10.5850/JKSCT.2010.34.7.1138
  20. Hennig-Thurau TK, Gwinner P, Walsh, G, Gremler DD (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet. Journal of Interactive Marketing 18(1):38-52. https://doi.org/10.1002/dir.10073
  21. Hong BS, Kwon YJ, Lee JW, Ryu LE (2012). The effect of fashion blog features on commitment, satisfaction and word-of-mouth intention, Journal of Korean Society of Clothing and Textiles 36(2):244-257. https://doi.org/10.5850/JKSCT.2012.36.2.244
  22. Jarvenpaa SL, Todd PA (1997). Consumer reactions to electronic shopping on the world wide web. Journal of Electronic Commerce 1(2):59-88.
  23. Jarvenpaa SL, Tractinsky N, Vitale M (2000). Consumer trust in an internet store. Information Technology and Management 1(1-2):45-71 https://doi.org/10.1023/A:1019104520776
  24. Je MJ, Kim YG (2011). The relationships of bloggers' trust, perceived risk, benefit and intention to purchase in restaurants. Journal of Foodservice Management 14(3):157-174.
  25. Jo MN (2012). A study on restaurant blog users' behavior, satisfaction and motivation: A focus on college students in Seoul and Gyeonggi province. Journal of Tourism Sciences 36(8):161-184.
  26. Johnson TJ, Kaye BK (2004). Wag the Blog: How reliance on traditional media and the Internet influence perceptions of credibility of Weblogs among Blog users. Journalism & Mass Communication Quarterly 81(3): 622-642. https://doi.org/10.1177/107769900408100310
  27. Johnson TJ, Kaye BK (2009). In blog we trust? Deciphering credibility of components of the internet among politically interested internet users. Computers in Human Behavior 25:175-182. https://doi.org/10.1016/j.chb.2008.08.004
  28. Kang NY, Yoon HH (2014). The effect of message sideness of restaurant online reviews on trust of information and intention to visit: Focused on difference in regulatory focus. Korean Journal of Hotel Administration 23(4):1-22.
  29. Kaye BK (2007). Web site story: An exploratory study of blog use motivations. In M. Tremayne (Ed.), Blogging, Citizenship, and the Future of Media (127-148). New York: Routledge.
  30. Khammash M, Griffiths GH (2011). 'Arrivederci CIAO.com, Buongiomo Bing.com'-Electronic word-of-mouth(eWOM), antecedences and consequences. International Journal of Informantion Management 31(1):82-87 https://doi.org/10.1016/j.ijinfomgt.2010.10.005
  31. Kim DJ, Ferrin DL, Rao HR (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems 44(2):544-564. https://doi.org/10.1016/j.dss.2007.07.001
  32. Kim HJ, Pyo HS, Han MJ (2013). Analysis on the influences and effects of eWOM (electronic Word of Mouth) of power blog post as a source of advertisement. Korean Society for Advertising Education 13(4):315-362.
  33. Kim JS (2008). Attitudinal commitment and customer behavior of fashion communities. Unpublished doctoral dissertation, Ewha Womans University, Seoul.
  34. Kim MJ, Chung N, Lee C (2011). The effect of perceived trust on electronic commerce; Shopping online for tourism products and services in South Korea. Tourism Management 32(2):256-265. https://doi.org/10.1016/j.tourman.2010.01.011
  35. Kim MY, Sim KH (2013). Research on the Use of power blogs related to cooking: focused on employees related to cooking in Seoul. Korean Journal of Food Cookery Sci 29(1):1-37. https://doi.org/10.9724/kfcs.2013.29.1.1
  36. Kim SS (2010). A study of relationship of transactional performance with online community characteristics, benefits and relationship reinforcement in food service brand. Doctoral Dissertation, Kyonggi University.
  37. Kim SY, Park SY (1999). Articles / A study of decision factors for purchase intention at the electronic commerce. Journal of Consumer Studies 10(3):46-66.
  38. Kim YS, Chung KY (2009). Hotel brand blog characteristics influencing purchase intention and word-of-mouse communication : Blog attitude as an intervening variable-focused on blog users in their 20's and 30's. Korean Journal of Hotel Administration 18(3):1-22.
  39. Korgaonkar PK, Wolin LD (1999). A multivariate analysis of Web usage. Journal of Advertising Research 39(2):53-68.
  40. Kweon SH, Woo JS (2005). Blog media research: a study of motivation gratification and cognitive styles of the blog media. Korean Journal of Broadcasting 19(2):419-460
  41. Lee MKO, Turban E (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce 6(1):75-91. https://doi.org/10.1080/10864415.2001.11044227
  42. Lee SL, Yoon HH, Namkung Y (2011). Consumer perceptions of blog service quality in the restaurant industry. International Journal of Tourism Science 14(1):1-22.
  43. Lim SY, Cho WS (2011). The effects of bussiness blog information charactoeristics influencing on electronic word-of-mouth in the food service industry: emphasis on trust transference. Korean Journal of Hotel Administration 20 (5):165-180.
  44. Martin D, Lomax W (2001). Word-of-mouse vs word-of-mouth: the effects of the internet on consumer's pre-purchase information-search activities. (Other) Kingston upon Thames, U.K. : Kingston Business School, Kingston University. 19p.
  45. Moon SS (2010). Influence of blog marketing characteristics in one-person media store upon users' satisfaction and behavior intention. Unpublished master's thesis, Sejong University, Seoul.
  46. Morgan RM, Hunt SD (1994). The commitmenttrust theory of relationship marketing. Journal of Marketing 58(3):20-38.
  47. Mun YJ, Lee JH (2007). A study on the performance of online community characteristics. The e-Business Studies, 8(4):139-161.
  48. McKnight DH, Chervany NL (2001-2002). What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology. International Journal of Electronic Commerce 6(2):35-59. https://doi.org/10.1080/10864415.2001.11044235
  49. Nam HK (2007). Executional characteristics of blog affect brand attitude and WOM intention. Unpublished master's thesis, Dongguk University, Seoul.
  50. Park C, Yoo CJ (2006). Study on the effects of consumers' word of mouth about brand experiences and responses on brand evaluations at online co. Journal of Consumer Studies 17(1):73-93.
  51. Peterson RA(1995). Relationship marketing and the consumer. Journal of the Academy of Marketing Science 23(4):278-281. https://doi.org/10.1177/009207039502300407
  52. Salo J, Karjaluoto H (2007). Mobile games as an advertising medium: towards a new research agenda. The International Research Journal Innovative Marketing 3(1):72-83.
  53. Schiffman LG, Kanuk LL(2000). Consumer Behavior, 7th edtion. Newjersey. Prentice hall international.
  54. Sin SY, Cha SM (2006). A correlation analysis between word-of-mouth message sender credibility and WOM effect. Journal of the Korean Society of Dietary Culture 21(5):536-540.
  55. Son JA, Rhee EY (2007). The effects of information characteristics(direction, consensus) on word-of-mouth performance in online apparel shopping, Journal of the Korean Society of Clothing and Textiles 31(8):1157-1167. https://doi.org/10.5850/JKSCT.2007.31.8.1157
  56. Smith D (2002). Trust me, would i steer you wrong? The influence of peer recommendations within virtual communities. Ph.D. dissertation., University of Illinois at Chicago.
  57. Sparkman RM, Locander, WB (1980). Attribution theory and advertising Effectiveness. Journal of Consumer Research 7(Dec):219-314. https://doi.org/10.1086/208810
  58. Sweeney JC, Soutar GN, Johnson LW (1999). The role of perceived risk in the quality-value relationship: A study in a retail environment. Journal of Retailing 75(1):77-105. https://doi.org/10.1016/S0022-4359(99)80005-0
  59. Yeung RMW, Moriss J (2001). Food safety risk: consumer perception and purchase behaviour. British Food Journal 103(3): 170-186. https://doi.org/10.1108/00070700110386728
  60. Yeung RMW, Yee WMS (2003). Risk reduction: an insight from the UK poultry industry. Nutrition and Food Science 33(5): 219-229. https://doi.org/10.1108/00346650310499749
  61. Yom JC, Kyoung YI, Park HN (2005). A study on eating-out customers' behavior of searching information: Focused on the customer of family restaurant in Seoul and Kyunggi province. The Korean Journal of Culinary Research 11(1):7-37.
  62. Zeithaml, VA (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