Information Systems Review (경영정보학연구)

The Korea Society of Management Information Systems (한국경영정보학회)
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Analysis of Changes in Restaurant Attributes According to the Spread of Infectious Diseases: Application of Text Mining Techniques

감염병 확산에 따른 레스토랑 선택속성 변화 분석: 텍스트마이닝 기법 적용

  • Joonil Yoo (Smart Tourism Education Platform, Kyung Hee University) ;
  • Eunji Lee (Smart Tourism Education Platform, Kyung Hee University) ;
  • Chulmo Koo (Smart Tourism Education Platform, Kyung Hee University)
  • 유준일 (경희대학교 스마트관광원) ;
  • 이은지 (경희대학교 스마트관광원) ;
  • 구철모 (경희대학교 스마트관광원)
  • Received : 2023.06.21
  • Accepted : 2023.08.27
  • Published : 2023.11.30
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Abstract

In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

2020년 3월, 코로나바이러스 팬데믹으로 선포되면서, 다양한 방역 조치가 취해져 왔다. 이에 따라, 관광 및 환대 산업 내의 많은 변화들이 야기되었다. 특히 레스토랑 산업에서는 비대면 서비스 및 좌석 간 거리두기 등 방역 지침이 시행되었다. 전통적으로 레스토랑 선택속성에 대한 연구는 분위기, 서비스 품질, 음식의 품질을 포함한 3가지 속성의 중요성이 강조해 온 데 반해, 코로나19 이후 레스토랑 이용자를 대상으로 레스토랑 선택속성을 탐색한 연구는 미비한 실정이다. 이에 따라, 본 연구에서는 코로나19라는 환대 산업 내의 환경적 변화에 대한 이해에 기반하여, 국내 온라인 리뷰 데이터 상에서 새로운 레스토랑 경험적 속성을 확인하기 위한 탐색적인 접근을 시도하였다. 본 연구는 서울 을지로 지역에 위치한 일반음식점 및 휴게음식점 475개로 네이버 플레이스에 등록된 총 31,115개의 온라인 리뷰를 분석 단위로 고려하였다. 분석 방법은 단어 빈도와 역문서 빈도의 곱으로 산출된 TF-IDF와 잠재적 토픽들을 추출하는 확률적 모델 알고리즘인 LDA 토픽모델링 기법을 통해 온라인 리뷰 내에서 단어들의 군집화를 통해 레스토랑 선택속성을 재분류하고자 하였다. 분석 결과, 분위기, 서비스 품질, 음식 품질과 함께 코로나19 이후 레스토랑의 새로운 속성으로 "감염병 예방"요인이 도출되었다. 본 연구는 기존 레스토랑 선택속성에서 제시하는 세 가지 속성들을 범주화하고, 나아가 새로운 속성을 제시하였다는 점에서 기존 레스토랑 선택속성 문헌을 확장하여 학술적 의의가 있다. 나아가, 분석 결과에 기반하여 레스토랑 운영의 측면 및 정책적 관점에서의 실무적 제언을 시도하였다.

Keywords

Acknowledgement

이 논문은 2023년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2023S1A5C2A03095253).

References

  1. 김남규, 이동훈, 최호창,"텍스트 분석 기술 및 활용 동향", 한국통신학회논문지, 제42권, 제2호, 2017, pp. 471-492. https://doi.org/10.7840/kics.2017.42.2.471
  2. 김도경, 김인신, "텍스트 마이닝을 이용한 온라인 리뷰의 호텔 선택속성 분석", 관광학연구, 제41권, 제9호, 2017, pp. 109-127. https://doi.org/10.17086/JTS.2017.41.9.109.127
  3. 김민정, "[2020 여기, 타임캡슐에 담다] ③도심의 변신은 무죄... 을지로는 더이상 공구거리가 아니다.", 조선비즈, 2020. 5. 19, Available at: https://biz.chosun.com/site/data/html_dir/2020/05/18/2020051803383.html.
  4. 김영목, 김선철, "빅데이터 분석을 활용한 코로나 전후외식 소비 변화에 관한 연구", 상품학연구, 제40권, 제1호, 2022, pp. 91-101.
  5. 김옥현, "With COVID-19, 외식업의 길을 묻다", 외식경영연구, 제23권, 제4호, 2020, pp. 343-365.
  6. 김은택, 김정빈, 금경조,"인스타그램 위치정보 데이터를 이용한 을지로 3.4가 지역 활성화의 실증분석", 서울도시연구, 제20권, 제2호, 2019, pp. 19-35. https://doi.org/10.23129/SEOULS.20.2.201906.19
  7. 김재호, 김장영, "코로나19 와 서울 소상공인상권의 상관관계 분석", 한국정보통신학회논문지, 제25권, 제3호, 2021, pp. 384-388. https://doi.org/10.6109/JKIICE.2021.25.3.384
  8. 박나희, "텍스트 마이닝을 이용한 온라인 리뷰 데이터의 레스토랑 선택속성과 선호도에 관한 연구", 관광경영연구, 제25권, 제4호, 2021, pp. 41-62. https://doi.org/10.18604/tmro.2021.25.4.3
  9. 박득희, 조미희, "빅데이터 분석을 활용한 코로나19 발병 이전과 이후의 고급 레스토랑 방문고객 인식 비교분석", 호텔경영학연구, 제31권, 제4호, 2022, pp. 17-32. https://doi.org/10.24992/KJHT.2022.6.31.04.17
  10. 박신영, "'힙지로'코로나 이전보다 더 핫하다", 파이낸셜뉴스, 2020. 5. 16, Available at: https://www.fnnews.com/news/202205161809573258N.
  11. 박준형, 오효정, "국내 기록관리학 연구동향 분석을 위한 토픽모델링 기법 비교: LDA와 HDP를 중심으로", 한국도서관.정보학회지, 제48권, 제4호, 2017, pp. 235-258.
  12. 박지원, 이형룡, "관광지 만족도를 평가하는 관광지 선택속성에 관한 연구: 텍스트 마이닝과 퍼지셋 질적비교분석의 활용", 관광학연구, 제46권, 제6호, pp. 105-126.
  13. 송수엽, "코로나19 발생에 따른 2020 년 관광레저소비지출동향", 한국관광정책, 제83호, 2021, pp. 104-108.
  14. 신서영, 이범준, "코로나19 확산에 따른 외식에 대한 소비자 인식 분석: 토픽모델링 및 네트워크 분석의 활용", 호텔경영학연구, 제30권, 제8호. 2021, pp. 71-90. https://doi.org/10.24992/KJHT.2021.12.30.08.71
  15. 심영석, 김홍범, "온라인 리뷰 빅데이터 기반의 Word2Vec 기법을 활용한 관광지 개성과 여행객 평점 간 구조적 관계 분석", 관광학연구, 제42권, 제8호, 2018, pp. 165-189. https://doi.org/10.17086/JTS.2018.42.8.165.189
  16. 안지영, 조미희, "코로나 팬데믹 상황에서 레스토랑 선택속성에 대한 중요도.만족도에 관한 연구-연령별, 외식동반인 유형에 따른 차이분석", 호텔리조트연구, 제19권, 제6호, 2020, pp. 201-218.
  17. 윤호민, 최규완, "텍스트마이닝 기법을 활용한 레스토랑 유형별 선택속성 차이에 관한 연구: 외래 관광객을 중심으로", 호텔경영학연구, 제30권, 제7호, 2021, pp. 109-127. https://doi.org/10.24992/KJHT.2021.10.30.07.109
  18. 이상미, "코로나19의 펜데믹에서 고객의 행동의도에 따른 레스토랑 선택속성 차이에 관한 연구", 한국외식산업학회지, 제17권, 제3호, 2021, pp. 173-185. https://doi.org/10.22509/KFSA.2021.17.3.012
  19. 이한빛, "기본 수십년 장수점포 즐비...오래되고 허름해야 뜬다.", 스카이데일리, 2019. 3. 11, Available at https://www.skyedaily.com/news/news_view.html?ID=82601&SKYEDAILY_MOBILE=1.
  20. 전병진, 최윤진, 김희웅, "한국어 텍스트 마이닝을 위한 통합 애플리케이션 개발과 활용", 2018년 한국지능정보시스템학회 춘계학술대회 논문집, 2018, pp 90-91.
  21. 정효선, 송민경, 이선령, 윤혜현, "SERVQUAL과 DINESERV로 측정한 국내 프랜차이즈형 한식당의 서비스 품질에 관한 비교 연구", 외식경영연구, 제12권, 제4호, 2009, pp. 257-277.
  22. 제갈태환, 이승우, 황지윤, "코로나-19에서의 위생 대응과 외식고객의 서비스 질에 대한 인식 및 재방문 의도: 시나리오 기반 사례 연구", 한국식품영양과학회지, 제49권, 제9호, 2020, pp. 1036-1043. https://doi.org/10.3746/jkfn.2020.49.9.1036
  23. 채성숙, "코로나19 엔데믹 바람 속 광고업계는? '여행', '외식', '패션'에 주목", MADTIMES, 2022. 5. 20, Available at: https://www.madtimes.org/news/articleView.html?idxno=12884.
  24. 천휘원, 남경숙, "감성디자인을 통한 낙후지역의 활성화 사례 분석: 을지로의 문화상업공간을 중심으로", 한국실내디자인학회 학술대회논문집, 제21권, 제3호, 2019, pp. 96-99.
  25. 한지연, 김홍범, "빅데이터 기반의 사회연결망분석을 이용한 관광지 이미지 인식에 관한 연구", 관광학연구, 제41권, 제8호, 2017, pp. 91-119. https://doi.org/10.17086/JTS.2017.41.8.91.119
  26. 허세민, "뒷골목 문화를 만드는 을지로3가 괴짜들... "젊은세대, 돈으로 형성된 상권선 재미 못느끼죠"", 서울경제, 2018. 9. 28, Available at https://www.sedaily.com/NewsView/1S4T9ZLLIH.
  27. 허지욱, "Word2Vec를 이용한 한국어 단어 군집화 기법", 한국인터넷방송통신학회 논문지, 제18권, 제5호, 2018, pp. 25-30.
  28. Akhtar, N., J. Sun, J. Chen, and M. N. Akhtar, "The role of attitude ambivalence in conflicting online hotel reviews", Journal of Hospitality Marketing & Management, Vol.29, No.4, 2020, 471-502. https://doi.org/10.1080/19368623.2019.1650684
  29. Auty, S., "Consumer choice and segmentation in the restaurant industry", The Service Industries Journal, Vol.12, No.3, 1992, pp. 324-39. https://doi.org/10.1080/02642069200000042
  30. Baker, J., A. Parasuraman, D. Grewal, and G. B. Voss, "The influence of multiple store environment cues on perceived merchandise value and patronage intentions", Journal of Marketing, Vol.66, No.2, 2002, pp. 120-141. https://doi.org/10.1509/jmkg.66.2.120.18470
  31. Bilgihan, A., S. Seo, and J. Choi, "Identifying restaurant satisfiers and dissatisfiers: Suggestions from online reviews", Journal of Hospitality Marketing & Management, Vol.27, No,5, 2018, pp. 601-625. https://doi.org/10.1080/19368623.2018.1396275
  32. Blei, D. M., A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation", Journal of machine Learning Research, Vol.3, No.Jan, 2003, pp. 993-1022
  33. Bolton, R. N. and J. H. Drew, "A multistage model of customers' assessments of service quality and value", Journal of Consumer Research, Vol.17, No,4, 1991, pp. 375-384. https://doi.org/10.1086/208564
  34. Book, L. A., S. Tanford, R. Montgomery, and C. Love, "Online traveler reviews as social influence: Price is no longer king", Journal of Hospitality & Tourism Research, Vol.42, No.3, 2018, pp. 445-475. https://doi.org/10.1177/1096348015597029
  35. Bradley, G., "Covid 19 coronavirus: New Zealand set for domestic tourism boom in January", NZ Herald, 2020, October 13, Available at: https://www.nzherald.co.nz/business/covid-19-coronavirus-new-zealand-set-for-domestic-tourism-boom-in-january/3ONLIJ6ABVRF2Z24Q7NRGGWKFU/.
  36. Brizek, M. G., R. E. Frash, B. M. McLeod, and M. O. Patience, "Independent restaurant operator perspectives in the wake of the COVID-19 pandemic", International Journal of Hospitality Management, Vo.93, 2021, pp. 102766.
  37. Bujisic, M., J. Hutchinson, and H. G. Parsa, "The effects of restaurant quality attributes on customer behavioral intentions", International Journal of Contemporary Hospitality Management, Vol.26, No.8, 2014, pp. 1270-1291. https://doi.org/10.1108/IJCHM-04-2013-0162
  38. Byrd, K., E. Her, A. Fan, B. Almanza, Y. Liu, and S. Leitch, "Restaurants and COVID-19: What are consumers' risk perceptions about restaurant food and its packaging during the pandemic?", International Journal of Hospitality Management, Vol.94, 2021, pp. 102821.
  39. Chen, H. and K. Eyoun, "Do mindfulness and perceived organizational support work? Fear of COVID-19 on restaurant frontline employees' job insecurity and emotional exhaustion", International Journal of Hospitality Management, Vol.94, 2021, pp. 102850.
  40. Choi, J. and J. Zhao, "Consumers' behaviors when eating out: Does eating out change consumers' intention to eat healthily?", British Food Journal, Vol.116, No.3, 2014, pp. 393-509. https://doi.org/10.1108/BFJ-06-2012-0136
  41. Chow, I. H. S., V. P. Lau, T. W. C. Lo, Z. Sha, and H. Yun, "Service quality in restaurant operations in China: Decision-and experiential-oriented perspectives", International Journal of Hospitality Management, Vol.26, No.3, 2007, pp. 698-710. https://doi.org/10.1016/j.ijhm.2006.07.001
  42. Filieri, R. and F. McLeay, "E-WOM and accommodation: An analysis of the factors that influence travelers' adoption of information from online reviews", Journal of Travel Research, Vol.53, No.1, 2014, pp. 44-57. https://doi.org/10.1177/0047287513481274
  43. Foroudi, P., S. A. H. Tabaghdehi, and R. Marvi, "The gloom of the COVID-19 shock in the hospitality industry: A study of consumer risk perception and adaptive belief in the dark cloud of a pandemic", International Journal of Hospitality Management, Vol.92, 2021, pp. 102717.
  44. Gursoy, D., C. C. Chi, and O. H. Chi, "Effects of COVID 19 pandemic on restaurant and hotel customers' sentiments towards dining out, traveling to a destination and staying at hotels", Journal of Hospitality, Vol.3, No.1, 2021, pp. 1-17.
  45. Ha, J. and S. S. Jang, "Attributes, consequences, and consumer values: A means end chain approach across restaurant segments", International Journal of Contemporary Hospitality Management, Vol.25, No.3, 2013, pp. 383-409. https://doi.org/10.1108/09596111311311035
  46. Hennig-Thurau, T., K. P. Gwinner, G. Walsh, and D. D. Gremler, "Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet?", Journal of Interactive Marketing, Vol.18, No.1, 2004, pp. 38-52. https://doi.org/10.1002/dir.10073
  47. Hyun, S. S., "Predictors of relationship quality and loyalty in the chain restaurant industry", Cornell Hospitality Quarterly, Vol.51, No.2, 2010, pp. 251-267. https://doi.org/10.1177/1938965510363264
  48. Jia, S. S., "Motivation and satisfaction of Chinese and US tourists in restaurants: A cross-cultural text mining of online reviews", Tourism Management, Vol.78, 2020, pp. 104071.
  49. June, L. P. and S. L. Smith, "Service attributes and situational effects on customer preferences for restaurant dining", Journal of Travel Research, Vol.26, No.2, 1987, pp. 20-27. https://doi.org/10.1177/004728758702600205
  50. Khan, M. A., ""Menus and Menu Planning," in Mahmood A. Khan, Michael D. Olsen and. Turgut Var(eds.), VNR's ENCYCLOPEDIA of HOSPITALITY and TOURISM, VNR, New York, NY, 1993, pp 89.
  51. Kim, J. and J. C. Lee, "Effects of COVID-19 on preferences for private dining facilities in restaurants", Journal of Hospitality and Tourism Management, Vol.45, 2020, pp. 67-70. https://doi.org/10.1016/j.jhtm.2020.07.008
  52. Kim, J., J. Kim, and Y. Wang, "Uncertainty risks and strategic reaction of restaurant firms amid COVID-19:Evidence from China", International Journal of Hospitality Management, Vol.92, 2021, pp. 102752.
  53. Knight, A. J., M. R. Worosz, and E. C. D. Todd, "Serving food safety: Consumer perceptions of food safety at restaurants", International Journal of Contemporary Hospitality Management, Vol.19, No,6, 2007, pp. 476-484. https://doi.org/10.1108/09596110710775138
  54. Ko, E., E. Kim, C. R. Taylor, K. H. Kim, and I. J. Kang, "Cross national market segmentation in the fashion industry: A study of European, Korean, and US consumers", International Marketing Review, Vol.24, No.5, 2007, pp. 629-651. https://doi.org/10.1108/02651330710828022
  55. Kostromitina, M., D. Keller, M. Cavusoglu, and K. Beloin, ""His lack of a mask ruined everything", Restaurant customer satisfaction during the COVID-19 outbreak: An analysis of Yelp review texts and star-ratings", International Journal of Hospitality Management, Vol.98, 2021, pp. 103048.
  56. Kotler, P., "Atmospherics as a marketing tool", Journal of Retailing, Vol.49, No.4, 1973, pp. 48-64.
  57. Lewis, R. C., "Restaurant advertising-appeals and consumers intentions", Journal of Advertising Research, Vol.21, No.5, 1981, pp. 69-74.
  58. Litvin, S. W., Goldsmith, R. E., and Pan, B, "Electronic word-of-mouth in hospitality and tourism management", Tourism Management, Vol.29, No.3, 2008, pp. 458-468. https://doi.org/10.1016/j.tourman.2007.05.011
  59. Liu, Y. and S. S. Jang, "Perceptions of Chinese restaurants in the US: what affects customer satisfaction and behavioral intentions?", International Journal of Hospitality Management, Vol.28, No.3, 2009, pp. 338-348. https://doi.org/10.1016/j.ijhm.2008.10.008
  60. Luo, Y. and X. Xu, "Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic", International Journal of Hospitality Management, Vol.94, 2021, pp. 102849.
  61. McLafferty, S., "Placing pandemics: geographical dimensions of vulnerability and spread", Eurasian Geography and Economics, Vol.51, No.2, 2010, pp. 143-161. https://doi.org/10.2747/1539-7216.51.2.143
  62. Murray, D. R. and M. Schaller, "Historical prevalence of infectious diseases within 230 geopolitical regions: A tool for investigating origins of culture", Journal of Cross-Cultural Psychology, Vol.41, No.1, 2010, pp. 99-108. https://doi.org/10.1177/0022022109349510
  63. Namasivayam, K. and A. S. Mattila, "Accounting for the joint effects of the servicescape and service exchange on consumers' satisfaction evaluations", Journal of Hospitality & Tourism Research, Vol.31, No.1, 2007, pp. 3-18. https://doi.org/10.1177/1096348006292996
  64. Namkung, Y. and S. Jang, "Are highly satisfied restaurant customers really different? A quality perception perspective", International Journal of Contemporary Hospitality Management, Vol.20, No.2, 2008, pp. 142-155. https://doi.org/10.1108/09596110810852131
  65. Palmer, A., EBOOK: Principles of Services Marketing, McGraw Hill, 2013.
  66. Parasuraman, A., V. A. Zeithaml, and L. Berry, "SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality", Journal of Retailing, Vol.64, No.1, 1988, pp. 12-40.
  67. Park, D. H., J. Lee, and I. Han, "The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement", International Journal of Electronic Commerce, Vol.11, No.4, 2007, pp. 125-148. https://doi.org/10.2753/JEC1086-4415110405
  68. Park, S. and J. L. Nicolau, "Asymmetric effects of online consumer reviews", Annals of Tourism Research, Vol.50, 2015, pp. 67-83. https://doi.org/10.1016/j.annals.2014.10.007
  69. Raajpoot, N. A., "TANGSERV: A multiple item scale for measuring tangible quality in foodservice industry", Journal of Foodservice Business Research, Vol.5, No.2, 2002, pp. 109-127. https://doi.org/10.1300/J369v05n02_08
  70. Reuland, R., J. Choudry, and A. Fagel, "Research in the field of hospitality", International Journal of Hospitality Management, Vol.4, No.4, 1985, pp. 141-146. https://doi.org/10.1016/0278-4319(85)90051-9
  71. Roy, D., S. Tripathy, S. K. Kar, N. Sharma, S. K. Verma, and V. Kaushal, "Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic", Asian Journal of Psychiatry, Vol.51, 2020, p. 102083.
  72. Salton, G. and C. Buckley, "Term-weighting approaches in automatic text retrieval", Information Processing& Management, Vol.24, No,5, 1988, pp. 513-523. https://doi.org/10.1016/0306-4573(88)90021-0
  73. Schuckert, M., X. Liu, and R. Law, "A segmentation of online reviews by language groups: How English and non-English speakers rate hotels differently", International Journal of Hospitality Management, Vol.48, 2015, pp. 143-149. https://doi.org/10.1016/j.ijhm.2014.12.007
  74. Sigala, M., "Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research", Journal of Business Research, Vol.117, 2020, pp. 312-321. https://doi.org/10.1016/j.jbusres.2020.06.015
  75. Slovic, P., B. Fischhoff, and S. Lichtenstein, "Facts and fears: Understanding perceived risk", In R. C. Schwing and W. A. Albers (eds.), Societal Risk Assessment: How Safe Is Safe Enough?, Springer, New York, NY, 1980, pp. 181-216
  76. Spangenberg, E. R., A. E. Crowley, and P. W. Henderson, "Improving the store environment: do olfactory cues affect evaluations and behaviors?", Journal of Marketing, Vol.60, No.2, 1996, pp. 67-80. https://doi.org/10.1177/002224299606000205
  77. Sulek, J. M. and R. L. Hensley, "The relative importance of food, atmosphere, and fairness of wait: The case of a full-service restaurant", Cornell Hotel and Restaurant Administration Quarterly, Vol.45, No.3, 2004, pp. 235-247. https://doi.org/10.1177/0010880404265345
  78. Tipton, F. B., "Modeling national identities and cultural change: The Western European, Japanese, and United States experiences compared", International Journal of Cross Cultural Management, Vol.9, No.2, 2009, pp. 145-168. https://doi.org/10.1177/1470595809335722
  79. Voko, Z. and J. G. Pitter, "The effect of social distance measures on COVID-19 epidemics in Europe: An interrupted time series analysis", GeroScience, Vol.42, No.4, 2020, pp. 1075-1082. https://doi.org/10.1007/s11357-020-00205-0
  80. Wall, E. A. and L. L. Berry, "The combined effects of the physical environment and employee behavior on customer perception of restaurant service quality", Cornell Hotel and Restaurant Administration Quarterly, Vol.48, No.1, 2007, pp. 59-69. Available at https://doi.org/10.1177/0010880406297246.
  81. Wang, Y. and D. R. Fesenmaier, "Modeling participation in an online travel community", Journal of Travel Research, Vol.42, No.3, 2004, pp. 261-270. https://doi.org/10.1177/0047287503258824
  82. Wu, J., G. Son, and S. Wang, "A Competency Mining Method Based on Latent Dirichlet Allocation (LDA)Model", Journal of Physics: Conference Series, Vol.1682, No.1, 2020, pp. 012059.
  83. Xiang, Z., Q. Du, Y. Ma, and W. Fan, "Comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism", Tourism Management, Vol.58, 2017, pp. 51-65. https://doi.org/10.1016/j.tourman.2016.10.001
  84. Xiang, Z., Z. Schwartz, J. H. Gerdes Jr, and M. Uysal, "What can big data and text analytics tell us about hotel guest experience and satisfaction?", International Journal of Hospitality Management, Vol.44, 2015, pp. 120-130. https://doi.org/10.1016/j.ijhm.2014.10.013
  85. Yi, S., J. Zhao, and H. W. Joung, "Influence of price and brand image on restaurant customers' restaurant selection attribute", Journal of Foodservice Business Research, Vol.21, No.2, 2018, pp. 200-217. https://doi.org/10.1080/15378020.2017.1368808
  86. Yoo, K. H. and U. Gretzel, "What motivates consumers to write online travel reviews?", Information Technology & Tourism, Vol.10, No.4, 2008, pp. 283-295. https://doi.org/10.3727/109830508788403114
  87. Zhang, Z., Z. Zhang, and R. Law, "Positive and negative word of mouth about restaurants: Exploring the asymmetric impact of the performance of attributes", Asia Pacific Journal of Tourism Research, Vol.19, No.2, 2014, pp. 162-180. https://doi.org/10.1080/10941665.2012.735680