• Title/Summary/Keyword: travel marketing

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A Study on the Determinants of Perceived Service Quality:-Focused on the Comparisons of SERVQUAL, SERVPERF and Non-Difference Scores- (해외여행상품의 서비스품질척도의 비교 및 만족. 재구매의도에 관한 연구)

  • Kim, Sae-Bum;Kim, Byung-Sek
    • Journal of Global Scholars of Marketing Science
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    • v.14
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    • pp.39-58
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    • 2004
  • After SERVQUAL was proposed as a measure of perceived service quality, several arguments have been made against its validity and some competing measures have been developed. This paper reviews those controversies. Particularly, it compares the concept of expectation in the research of service quality with that in the research of satisfaction, re-purchase intention and suggests the authors' opinion. In addition, the paper suggests sequential casual relations among expectation, perceived performance and perceived service quality. With the help of previous researches concerning "SERVQUAL" and the related topics, six variables concerning travel services were identified. The six variables are tangibility, reliability, responsiveness, assurances, empathy and costs. Seven hypotheses were developed using these variables. The review of literature covers service's concept, model and method of service quality evaluation, and relationship among the concepts which is related to the service quality. The results of our study suggest further research is necessary to clarify which one is a better tool because we have a conflicting research outcome in terms of model fitting. The study also shows that assurances and costs have positive effect on customer satisfaction. It also turned out that customer satisfaction has positive effect on repurchase intention.

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An Analysis of Changes in Perception of Metaverse through Big Data - Comparing Before and After COVID-19 - (빅데이터 분석을 통한 메타버스에 대한 인식 변화 분석 - 코로나19 발생 전후 비교를 중심으로 -)

  • Kang, Yu Rim;Kim, Mun Young
    • Fashion & Textile Research Journal
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    • v.24 no.5
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    • pp.593-604
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    • 2022
  • The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

Big Data Analysis of Social Media on Gangwon-do Tourism (강원도 관광에 대한 소셜 미디어 빅데이터 분석)

  • JIN, TIANCHENG;Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.3
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    • pp.193-200
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    • 2021
  • Recently, posts and opinions on tourist attractions are actively shared on social media. These social big data provide meaningful information to identify objective images of tourist destinations recognized by consumers. Therefore, an in-depth understanding of the tourist image is possible by analyzing these big data on tourism. The study is to analyze destination images in Gangwon-do using big data from social media. It is wanted to understand destination images in Gangwon-do using semantic network analysis and then provided suggestions on how to enhance image to secure differentiated competitiveness as a destination for tourists. According to the frequency analysis results, as tourism in Gangwon-do, Sokcho, Gangneung, and Yangyang were mentioned at a high level in that order, and the purpose of travel was restaurant tour, gourmet food, family trip, vacation, and experience. In particular, it was found that they preferred day trips, weekends, and experiences. Four suggestions were made based on the results. First, it is necessary to develop various types of hotels, accommodation facilities and experience-oriented tour packages. Second, it is necessary to develop a day-to-day travel package that utilizes proximity to the Seoul metropolitan area. Third, it is necessary to promote traditional restaurants and local food. Finally, it is necessary to develop tourist package suitable for healing and family travel. Through this research, the destination image of Gangwon-do was identified and a tourism marketing strategy was presented to improve competitiveness. It also provided a theoretical basis for the use of the big data of tourism consumers in the field of tourism business.

Factors Influencing the Preference for German farm Tourism: A Path Model Approach

  • Sidali, Katia Laura;Spiller, A.
    • Journal of Global Scholars of Marketing Science
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    • v.18 no.4
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    • pp.33-59
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    • 2008
  • This paper aims to analyse the preference for German farm tourism among the German population. For this reason, we conducted an empirical study in Germany during summer 2007 and we applieda structural equation model based on partial leasts quares(PLS) to analyse the data. In the following chapters we will introduce the literature review and our conceptual frame work. We will then outline the procedures we adopted and the results of the empirical analysis. In the final part so me conclusions will be presented and a discussion will follow in order to draw the future directions of our research. According to our hypotheses, the possibility that agri-tourism enters in the evoked set of an individual is higher: H1: The higher the information degree about it. H2: The lower the influence of the social stimuli. H3: The higher the physical exposure to it (experience). H4: The higher the wellness image of agri-tourism. H5: The higher the traditional image of agri-tourism. H6: The higher the exciting image of agri-tourism. H7: The higher the perceived value for money. Our further hypotheses affirm that the possibility that agri-tourism enters in the evoked set of an individual is higher: H8: The lower the perceived risk. H9: The higher the motive to enjoy a holiday in the nature. H10: The higher the motive to enjoy a sport holiday. H11: The lower the motive to have an organized holiday. H12: The lower the motive to have a holiday abroad. H13: The lower the motive of action and night life. H14: The higher the motive to spend a holiday with the family. H15: The lower the motive to spend a city holiday. Finally, our model has some socio-demographics data. As we mentioned before, German agri-tourism has traditionally been the travel destination of large-size families, with low-to-middle income. For that reason, our final hypothesises are the following: the possibility that agri-tourism enters in the evoked-set of an individual is higher: H16: The higher the number of family members. H17: The lower the family income. Since in this study we use a path model with a PLS approach, we are able to state some interrelations among the exogenous latent variables: H18: The motive of sport holiday has a positive influence towards nature motives. H19: The physical exposition to agri-tourism has a positive influence toward information. H20: The motive of family holiday has a negative influence toward the motive of action and night life. H21: Social stimuli have a positive influence towards individuals risk perceptions. H22: Social stimuli have negative influence towards experience. Data for this study were gathered via administrated questionnaires during the summer 2007 within the frame of an academic "marketing research" course. The corresponding t-values are assessed using the bootstrapping method with 500 re-samples. In our model 61% of the degree of appreciation of German agri-tourism (evoked set) is explained by five independent variables: value for money ($0.335^{{\ast}{\ast}{\ast}}$) (H7) experience ($0.267^{{\ast}{\ast}}$) (H3), exciting image ($0.204^{\ast}$) (H6) organisation ($-0.162^{\ast}$) (H11) and holiday abroad ($-0.156^{\ast}$) (H12). The variance explained ($R^2$) for the other endogenous variables are the following: nature 24.3%, information 14.1%, action holiday 13.8%, risk perception 5.8% and experience 2.4%. An overview can be inferred from table 5. The results also allow us to test each of the proposed hypotheses. With exception of organization and abroad, none of the others travel style factors (H9 to H15) seem to have any significant impact towards evoked set which leads to the rejection of the respective hypotheses. As expected, social stimuli have a significant influence on individuals' risk perception (H21 accepted), however neither the former nor the latter have a valuable impact on evoked set (rejection of H2 and H8). Besides, since the influence of social stimuli towards experience is not significant, also H22 has to be rejected. Experience influences information (H19 accepted) but the latter does not affect significantly the evoked set (H1 rejected). Both H4 as well as H5, referring respectively to the perceived images of German agri-tourism as a wellness destination and the traditional image of the German farm tourism have to be rejected. Finally, none of the demographic data included in the model explains significantly the variance of the factor evoked set. Therefore neither H16 nor H17 has been accepted. As far as the interrelation between sport and nature (H18) and family and action (H20) are concerned, the stated relationship among these variables has been statistically confirmed. Our path model based on partial least squares shows the factors influencing the preference for farm tourism in Germany. Among others value for money and experience are the most significant ones. Practical implications are discussed.

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A Study on the Selection Attributes for Restaurant, Customer Satisfaction, and Recommendation Intention on Traveling Domestic Tourists: Targeting Tourists for Rail-ro Tickets

  • Kim, Ju-Hee;Kang, Kyoung-Ku;Lee, Jong-Ho
    • Culinary science and hospitality research
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    • v.23 no.6
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    • pp.27-35
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    • 2017
  • The purpose of this study was to examine the causal relationship among restaurant selection attributes and customer satisfaction and recommendation tastes for young people in their twenties who use tickets for Rail-ro. Data collection was conducted to utilize questionnaire survey with online and offline distribution. The collected data were analyzed using a statistical program SPSS 21.0 with frequency analysis, reliability analysis, factor analysis, and regression analysis. The results of the study showed that Internet search is the most common source of information about restaurants during the trip, and restaurant choice attributes have an important impact on customer satisfaction, food quality, employee service and reputation, but hygiene did not have a big effect on customer satisfaction. In addition, customer satisfaction has a significant effect on recommendation intention. Concluding the results from this study, it investigated the significant attributes for customers selection of restaurants and provide meaningful advice for market managers to make useful marketing strategies to attract more clients and augment economic benefits.

City Brand Image of Dubai Using Big Data Analytics : Application of Interpretation Methods (빅데이터를 활용한 도시 브랜드 이미지 분석과 응용 해석)

  • Woo, Mina
    • Journal of Information Technology Services
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    • v.17 no.1
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    • pp.17-32
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    • 2018
  • The city image is considered one of important symbolic and important factors in selecting the travel destination. Many cities are trying to be an attractive and popular city to tourists through the construction of a good brand image by utilizing their representative characteristics. This study measures the city brand image by applying a big data analytic method. In addition, the big data measurement results were rearranged and analyzed to identify further detailed city images by utilizing several previous interpretation methods. Our study has chosen Dubai since this city has the diverse images due to its regional as well as economic characteristics. In particular, nowadays Dubai has been recognized as one of the most important touristic places in the Middle East region for its modern and innovative images in spite of the limitations of location, weather, religion, and even political issues of neighbor countries. Founded on a big data analysis rather than a questionnaire-based survey, the presented interpretation methods are evaluated to improve the understanding of Dubai's diverse city images. In addition, based on the results of this research, it is expected to have a practical impact on establishing the effective marketing strategies to build and implement the valuable city brand image.

An Arguing Point on the Alternative Medicine as a Withdrawal Medicine (탈 의료화로서의 대체의학에 관한 논점)

  • Choi, Chan-Ho
    • Journal of Society of Preventive Korean Medicine
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    • v.11 no.1
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    • pp.85-99
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    • 2007
  • This study aimes to understand trends in alternative medicine use as new therapeutic ways to overcome the limits of western medicine, and is primarily concerned with function of alternative medicine to influence cancer theraphy in the United States after 1970s. Features of oriental medicine and western medicine through the comparison of Quantum medicine and Newton physics are pointed as the basic theory in alternative medicine. Homeopathic medicine, Chiro practice, Aroma theraphy, Transcendental meditation, Acupuncture is shortly is shortly introduced by alternative medicine use. The advantage of this study is to gain as follows : Firstly, To be recognized alternative function of cancer theraphy by Western nations including United States. Secondly, To understand the integrative program utilized as the alternative ways of cancer theraphy in the field. Thirdly, To understand side effects in alternative medicine use. :astly, To recommand marketing stratigies on alternative medicine services to develop Korean health tourism. In conclusion, it is increasingly emphasized that the importance of alternative medicine in relation to health promotion in the western nations. Western travelers expect that alternative medicine service is attractive and effective as the complementary function on incurable disease. Health tourism to experience alternative medicine services by travel will be expected one of the key industries in the future.

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The Effect of Online Distribution Channel's Review on Purchasing Behavior Change

  • Lee, Byeong-Cheol
    • Journal of Distribution Science
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    • v.16 no.4
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    • pp.21-34
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    • 2018
  • Purpose - The objective of this research is to a) examine the effects of online reviews, posted on online distribution channels, on the change of consumers' attitudes and booking intention by distinguishing three types of online review valence: positive, negative and neutral review valence, and b) to investigate the combined effect of the inclination of online review and perceived usefulness of reviews on consumers' attitude change. Research design, data, and methodology - An experimental design was used by creating a mimicked hotel company's website and online reviews extracted from several online distribution channels such as online travel agencies (OTAs). A total of 414 respondents were randomly assigned to a type of review valence. Results - The results showed that the valence of positive reviews has a significant effect on the positive change of attitude and booking intention. However, the effect of the valence of negative reviews on the change of booking intention was not statistically significant compared to that of the valence of neutral reviews. Conclusions - The results offer some insights into the effect of online reviews on consumers' decision making processes and have important managerial implications for companies that operate online distribution channels in terms of their online marketing and the distribution of service products.

A Qualitative Study on Responsible Tour Operators' Perception and Operation Status (공정관광 운영자의 인식과 공정관광 운영 현황 분석 - 심층면접을 통한 영역분석을 중심으로 -)

  • Kim, Kyung-Hee;Kang, Sung-Jin
    • Journal of Agricultural Extension & Community Development
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    • v.22 no.1
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    • pp.15-24
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    • 2015
  • Responsible tourism attracting worldwide attention has supported local economy and community development as a type of alternative tourism. This study explored the perception toward fairness in tourism and operation status of responsible tour operators in South Korea by conducting in-depth interviews with probe questions. Ten responsible tour operators were interviewed with a semi-structured interview questionnaire for one upto two hours. From the interview data, six themes were identified as difficulties of responsible tour operators: lack of manpower, advertising and promotion, absence of marketing strategy, regulation, lack of budget and lack of recognition of responsible tourism. As government support identified through the interviews, there are the followings seven themes: a low entry barrier market, investment in human resources, resource utilization, community-based policies, connection with local produce, community support and connection system of responsible travel agencies with intermediate support organizations at a local level, The findings of this paper implicate the underlying subject of responsible tourism from a tour operators' perspective.

A Semantic Network Analysis of Big Data regarding Food Exhibition at Convention Center (전시컨벤션센터 식품박람회와 관련된 빅데이터의 의미연결망 분석)

  • Kim, Hak-Seon
    • Culinary science and hospitality research
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    • v.23 no.3
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    • pp.257-270
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    • 2017
  • The purpose of this study was to visualize the semantic network with big data related to food exhibition at convention center. For this, this study collected data containing 'coex food exhibition/bexco food exhibition' keywords from web pages and news on Google during one year from January 1 to December 31, 2016. Data were collected by using TEXTOM, a data collecting and processing program. From those data, degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of hospitality and destinations was high. In addition, the web visibility was also high for convention center programs, such as festival, exhibition, k-pop and event; hospitality related words, such as tourists, service, hotel, cruise, cuisine, travel. Convergence of iterated correlations showed 4 clustered named "Coex", "Bexco", "Nations" and "Hospitality". It is expected that this diagnosis on food exhibition at convention center according to changes in domestic environment by using these web information will be a foundation of baseline data useful for establishing convention marketing strategies.