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축제 앱 사용자를 위한 축제 검색 요인분석
Festival search factor analysis for festival application users 원문보기

디지털콘텐츠학회 논문지 = Journal of Digital Contents Society, v.16 no.6, 2015년, pp.883 - 892  

이창근 (Joongbu University. Dept. of Computer and Game Science) ,  김순곤 (Joongbu University. Dept. of Computer and Game Science)

초록
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본 논문에서는 단조롭고 일률적으로 보여주는 축제 앱의 단점을 보완하기 위하여 문화관광축제 종합 평가 보고서의 만족도 평가항목과 국내 외 학자들의 축제 품질요인을 이용하여 요인분석을 실시하였다. 요인분석 결과 탐색적 요인분석에서 KMO 값은 0.821로서 나타났다. 요인적재치가 기준 이하인 항목은 제거를 하여 축제 검색요인은 접근성, 홍보안내, 행사내용, 축제상품, 먹을거리, 편의시설을 도출하였다. 신뢰도 분석에서는 Cronbach's ${\alpha}$(Alpha)값이 0.816으로 나타났다. 확인적 요인분석에서는 카이스케어 검정결과 p값이 0.289로 나타났으며, CMIN/DF 값도 1.100로 나타났다. GFI, AGFI, CFI, NFI, IFI 모두 적합도 기준치인 0.9 이상으로 나타났고 RMSEA 역시 0.018로 나타났다.

Abstract AI-Helper 아이콘AI-Helper

This paper was conducted to improve existing festival apps that present information in a one-dimensional and unengaging manner by analyzing the factors for festival quality factor from satisfaction evaluation items in culture and tourism festival evaluation reports as well as international and domes...

주제어

AI 본문요약
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* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

제안 방법

  • Based on the Comprehensive Evaluation Report on Cultural Tourism Festivals and festival quality factors derived by scholars at home and abroad, this study performed a factor analysis (accessibility, festival details, convenience facilities, festival products, PR, food, related tourism) and a reliability analysis to derive search factors. The process of deriving search factors is shown in (Figure.
  • For the Siheung Gaetgol Festival, factor analysis was conducted to analyze the effect of festival service quality on festival adequacy and local development. The following 27 service quality variables were considered: diversity of festival content, enjoyment, experiential satisfaction, local culture, theme, nearby tourist attraction, schedule adherence, information pamphlets, friendliness of guides, information facilities, problem-solving skills of guides, PR, satisfaction with guides, consistency of services, accessibility, price of specialty products, type of food and drinks, price of food and tricks, type of specialty products, parking facilities, lounges, facilities for the disabled, cleanliness of restrooms, admission fee, quality of souvenirs, type of souvenirs, and affordability.
  • For the Yeong Dong Grapes Festival held in Yeongdong, a factor analysis was conducted to analyze the effect of service quality on visitor satisfaction and behavior based on 18 measurement variables (enjoyment, accessibility, specialty products, program diversity, safety, cost, educational content, service quality, additional facilities, attitude of local residents, festival information, food, natural scenery, accommodation/shopping, experiential programs, uniqueness, interaction with others). Four factors (festival program, convenience, distinct local characteristics, personal services) were derived as a result [9].
  • The 18 survey items were grouped into six categories: accessibility (accessibility of festival site), PR (promotion of festival details and schedule, information signs, festival pamphlet, guides), event details (enjoyment, diversity, experiential programs, enhanced understanding of local culture), festival products (diversity of souvenirs, product quality, affordability), food (diversity, affordability), tourism (likelihood of visiting nearby tourist attractions), and convenience facilities (parking, lounge, cleanliness of restrooms) [4].
  • For the annual Dickens on the Strand held in Galveston, Texas, factor analysis was conducted to measure factors prioritized by visitors before and after the event. The 22 service quality factors were exterior of historical zone, banquet hall, tourism information desk, central Christmas tree, safety of event site, cleanliness of restrooms, lounge, program booklet, costume parade, cleanliness of event site, quality of food and drinks, festival content, number of participants in Victorian costumes, accessibility to restrooms, decorations, Victorian food, map, friendliness of personnel, indoor performance, characters, type of souvenirs, and horse riding. Five factors (environment of event site, information services, convenience facilities, parking facilities, interaction with staff of participating companies) were derived as a result [11].
  • The investigators received prior training on the objective of the survey and carried it out in the form of a standardized interview survey. They explained the objective of the survey to visitors, who then filled out the questionnaire on their own.
  • This study performed confirmatory factor analysis on measurement items that were subjected to exploratory factor analysis and reliability analysis. Confirmatory factor analysis is a statistical technique used to verify the exploratory factor analysis model.
  • To resolve the aforementioned issue and provide more user-friendly information, this study performed a factor analysis based on satisfaction ratings for items in the Comprehensive Evaluation Report on Cultural Tourism Festivals provided by the Ministry of Culture, Sports and Tourism and festival quality factors used in past research. Search factors were derived by conducting factor analysis in the forms of exploratory factor analysis, reliability analysis, and confirmatory factor analysis.
  • To resolve the aforementioned issue and provide more user-friendly information, this study performed factor analysis based on satisfaction ratings for items in the Comprehensive Evaluation Report on Cultural Tourism Festivals provided by the Ministry of Culture, Sports and Tourism and festival quality factors used in past research. Search factors were derived by conducting factor analysis in the form of an exploratory factor analysis, reliability analysis, and confirmator factor analysis.

대상 데이터

  • 40. Among the 24 measurement items, items not meeting the eigenvalue and loading requirements were removed, leaving behind 21 measurement items and six search factors. The search factors were accessibility, PR, event details, festival products, food, and convenience facilities
  • Responses provided by 240 visitors to the Suncheon Bay International Garden Expo 2013 were analyzed to determine general characteristics of respondents. First, the respondents consisted of 124 men (52%) and 115 women (48%), showing a good balance in gender. Second, there were 17 respondents below 20 (7%), 77 in their 20s (32%), 71 in their 30s (29.
  • The survey was answered by visitors to the Suncheon Bay International Garden Expo 2013, held for six months from April 20 to October 20, 2013 in Suncheon Bay (1,112,000 m2) and located in Pungdeok-dong and Ocheon-dong, Suncheon, South Jeolla Province. The number of respondents was 250 visitors. Among the 250 questionnaires, 240 valid samples (recovery rate of 96%) were obtained.
  • The questionnaire consisted of 25 items in a Likert scale (1 for not at all to 5 for extremely). SPSS 18.
  • Survey questions were prepared based on the Comprehensive Evaluation Report on Cultural Tourism Festivals and festival quality factors derived by scholars at home and abroad. The survey was answered by visitors to the Suncheon Bay International Garden Expo 2013, held for six months from April 20 to October 20, 2013 in Suncheon Bay (1,112,000 m2) and located in Pungdeok-dong and Ocheon-dong, Suncheon, South Jeolla Province. The number of respondents was 250 visitors.

데이터처리

  • A reliability analysis was performed using Cronbach’s alpha to assess the accuracy and consistency of responses.

이론/모형

  • 0 were used in the statistical analysis. Factor analysis, a multivariate statistical analysis technique, was applied in the form of an exploratory factor analysis and a confirmatory factor analysis. A reliability analysis was performed using Cronbach’s alpha to assess the accuracy and consistency of responses.
  • In this study, the maximum likelihood method was used to extract factors. Since a correlation was assumed between extracted factors, direct oblimin rotation was selected.
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참고문헌 (14)

  1. Boo Sug-Jin, "Comparison on the Service Quality Model : based on 2007 Inje Icefish Festival", dongguk univ, 2007. 

  2. Cho-See Jung, Shin-Hye Whang, "A Study on Devel opmental Alternatives of Rerional Cultural Contents : The case of chongju Jikji Festival" Journal of Digital Contents Society Vol. 8 No. 3 Sep. 2007(pp. 315-321) 

  3. Kyoung-Nam Kim, DongSeong Choi, Kang-Moo Lee, Myoun-Jae Lee, "Analysis on Interesting Element of Mobile Application Using User Reviews", Journal of Digital Contents Society Vol. 13 No. 3 Sep. 2012(pp. 431-438) 

  4. Ministry of Culture, Sports and Tourism, "Cultural Tourism Festival comprehensive evaluation report", 2011. 

  5. Jang Kyoung-Su, "The Effects of service Quality of Festival on Visitor Satisfaction and Behavioral Intention - A Case of Daegu Yangnyeongsi Festival", KCI Vol.19 No.3, pp.131-145, 2005. 

  6. Kim Chang-Soo, Nor Kyoung-Hee, "A Study on the Influence of Local Festival Service Quality on the Suitability of Festival and the Development of Region", KCI Vol.31 No.5, pp.437-459, 2009. 

  7. Kim Chang-Soo, Jeon Dae-Hee, "Comparative Analysis of 2005-2006 MUJU Firefly Festival's Service Quality and Satisfaction", KCI Vol.22 No.2, pp.265-284, 2007. 

  8. Kim Yon Hyong, "A study on the service quality and customer Loyalty in regional cultural festival", KCI Vol.21 No.3, pp.437-446, 2010. 

  9. Jung Mi-Ran, "Service Quality, Satisfaction, and Behavioral Intentions toward Local Festival : Focus on Yeongdong Grape Festival", KCI Vol.22 No.3, pp. 331-345, 2010. 

  10. Wicks, David T. "A Comparison of visitor and vendor perceptions of service quality at a special event". Festival Management and Event Tourism, Vol.31 No.1, pp.19-26, 1993. 

  11. Crompton, J. L & Love, L. "The predictive validity of alternative approaches to evaluating quality of a festival." Journal of Travel Research, pp.11-24, 1995. 

  12. Boo, S. & James, A. B. "Impact analysis of Tourism festival on tourists destination Image". Event Management, 9(4): pp.223-237, 2006. 

  13. Song Ji-Jun, "Papers needed to create SPSS / AMOS Statistical Analysis", 21C, 2012. 

  14. Lee Hak-Sik, Yim Ji-Hoon, "Structural Equation Modeling Analysis and AMOS 18.0/19.0", JipHyeonJe, 2011. 

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