31 research outputs found
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COUNTRY-OF-ORIGIN EFFECTS ON DESTINATION PRODUCT: IMPLICATIONS FOR BRAND USA
Public opinion mining on Sochi-2014 Olympics
Abstract de la ponencia[EN] The requirements of evidence-based policymaking promote interest to realtime
monitoring of public’s opinions on policy-relevant topics, and social
media data mining allows diversification of information portfolio used by
public administrators. This study discusses issues in public opinion mining
with respect to extraction and analysis of information posted on Twitter
about Sochi-2014 Olympic. It focuses on topics discussed on Twitter and
sentiment analysis of tweets about the Games. Final database contained
613,333 tweets covering time span from November 1, 2013 until March 31,
2014. Using hash tags the data were classified into the following categories:
Anticipation of the Games (9%), Cheering of the teams (31%), News (6%),
Events (11%), Sports (18%), and Problems & Politics (15%). Research
reveals considerable differences in the outcomes of machine sentiment
classifiers: Deeply Moving, Pattern, and SentiStrength. SentiStrength
produced the most suitable results in terms of minimization of incorrectly
classified tweets. Methodological implications and directions for future
research are discussed.Kirilenko, A.; Stepchenkova, S. (2016). Public opinion mining on Sochi-2014 Olympics. En CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics. Editorial Universitat Politècnica de València. 122-122. https://doi.org/10.4995/CARMA2016.2015.3102OCS12212
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The Impact of Personal Values and Attitudes on Responsible Behavior toward the Environment
Prior research on nature-based tourism has examined determinants of tourists’ environmentally responsible behavior from a personal value perspective. However, a nature-based destination needs both the economic benefits from tourists’ spending and the environmental benefits from tourists’ environmentally responsible behavior. Thus, based on the value-belief-norm and trust transfer theories, this study integrated altruistic value and attitudes toward a nature-based destination’s eco-travel and the destination to predict destination loyalty and positive word-of-mouth about the eco-travel as well as environmentally responsible behavior among domestic tourists. This study collected and analyzed data from 289 domestic tourists visiting Jeju Island, South Korea. The results of the structural equation modeling indicated that altruistic value significantly influenced only attitude toward eco-travel, which positively affected attitude toward the destination, destination loyalty, environmentally responsible behavior, and positive word-of-mouth about the eco-travel. Attitude toward the destination significantly influenced destination loyalty. Based on these results, this study provided several theoretical and managerial implications for a sustainable nature-based destination
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Perceived Destination Personality Based on Visitors’ Experience: A Case of Jeju Island, South Korea
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America’s Destination Image as Seen through Chinese Outbound Tourists’ Eyes
The paper attempts to obtain a mental picture of the United States as a travel destination in the collective mind of Chinese travelers, and compare image perceptions of different groups of past and potential U.S. travelers. Preliminary findings of this study highlighted that, overall, Chinese outbound tourists’ perception of America is highly urban, featuring advanced economic development, open and democratic system, high technology, and big cities. Further, the four groups of respondents reported somewhat different perceptions of the U.S., which may correspond to their different travel experiences, and different levels of familiarity with the U.S
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DMOs and User-Generated Photography: Comparison of Projected and Perceived Destination Images Using Perceptual Maps
As the advent of new media and communication technologies in recent years, user-generated content (UGC) in the Internet has been increasingly considered as a credible and organic form of “word of mouth” among tourists. New social media websites like Flickr enable more and more tourists to share their experience through uploading photos they took during their trips, an activity that has been gaining popularity among internet users. Unlike the pictorial materials that are produced by destination marketing organizations (DMOs), pictorial content that is generated by internet-users reflect users’ perceptions of the destination. This study aims to make a comparison between projected and perceived image of a destination by using qualitative pictorial data collected from both DMOs and UGC. Peru was chosen as a case study destination to assess the difference between projected destination image that is produced by Peru official websites and perceived image that is reflected by visitors’ photographs posted on Flickr
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U.S. Ecotourists’ Travel Experience and Satisfaction Reported on the World Wide Web: A Case of Costa Rica Ecolodges
Ecotourism is gaining popularity. Ecolodge is a unique lodging sector because it provides both accommodation and comprehensive ecotourism experience. This study aims at constructing ecotourists’ travel experience to ecotourism destinations and stay at ecolodges and finding the factors contributing to the consumption satisfaction. Costa Rican ecolodges are used as a case study. The online user-generated reviews posted by travelers were used as the qualitative material. The study methodology is content analysis. Research results indicated that ecotourists’ travel experience and stay with ecolodges could be categorized to 7 categories and 27 attributes. A typology of factors contributing to ecotourists’ satisfaction with eco-experience at ecolodges was proposed: criticals, satisfiers, dissatisfiers, and neutrals
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Tracking Destination Image through Time: The Case of Aruba
This study proposes a methodology to track changes in destination images through time. Dynamic Destination Image Index (DDII) monthly time series are obtained applying content analysis to media materials about a particular destination and reflect news volume, topics raised, and favorability of media coverage. The methodology is demonstrated using articles about Aruba published in U.S. newspapers in May 2004-April 2006, a period that encompasses disappearance of American teenager Natalee Holloway in Aruba. The DDII index was validated by using it in a model of tourism arrivals to Aruba. The DDII concept is proposed to be of interest to the destinations’ DMOs
A proposal for a Dynamic Destination Image Index: Concept, construction, and validation
In the field of destination image research, the study proposes a concept of a Dynamic Destination Image Index (DDII), an objective, quantifiable, and integral measure that would reflect destination perceptions of potential travelers through time. The author maintains that such a measure can be derived through content analysis of relevant media materials that date back into the past and provide a record of destination image changes, rather than surveys of human subjects. The study conceptualizes the DDII, proposes a methodology for its construction, demonstrates how the methodology can be applied, and validates the obtained indices, using them in models of tourism demand. The proposed methodology is based on content analysis of relevant media materials and destination image theory. The DDII is essentially a time series that reflects the frequency of news published about the destination in a particular country and the favorability of media coverage. The index is dynamic, since it reflects changes in media coverage from one period to another. It is objective because it is based on content analysis methodology, a long-standing and proven approach of drawing inferences from textual content. It is integral because it summarizes the wealth of media materials published about a particular destination to a limited number of time series data. DDII can be obtained for any “destination-country of origin” pair of countries in the form of weeks, monthly, quarterly, or annual time series. To demonstrate how DDII indices can be constructed, two separate DDII studies were conducted for two dissimilar destinations: (1) Aruba on the US market; and (2) Russia on the UK market. Both studies used newspapers as a source of media content. To validate the DDII-Aruba and DDII-Russia, each index was used in a separate econometric model of tourism demand. The results indicate that models that include the DDII series perform significantly better than the restricted models with traditional economic variables. The study has both theoretical implications and practical relevance. From the theoretical perspective, the research addresses the conceptual and operational issues that arise in quantifying media messages. From a practical perspective, DDII is seen as a useful tool that can assist destination DMOs in monitoring destination image as projected by media on various markets. It is suggested that the DDII index can be useful for destination positioning, assessing the effectiveness of promotional campaigns, and, potentially, forecasting tourism demand to the destination