2019
DOI: 10.1177/0047287519883036
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When Climate-Induced Change Reaches Social Media: How Realistic Travel Expectations Shape Consumers’ Attitudes toward the Destination

Abstract: The Web 2.0 has significantly changed how consumers plan for and book trips. For example, online content showing climate-induced, unfavorable conditions at a destination might influence overall attitudes toward that destination. Two experimental studies confirm that when consumers learn of unfavorable conditions in a destination (e.g., snow deficiency) through online content, they develop more realistic travel expectations and ultimately more positive attitudes toward the destination, compared with when they r… Show more

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Cited by 23 publications
(13 citation statements)
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“…(2) the measurement of engagement with DMOs/NTOs' SNSs [9,21]; (3) the analysis of the drivers of travelers' engagement with and contribution to DMOs/NTOs' SNSs [42,43]; (4) new methodologies to measure travelers' attitudes towards destinations and attractions by means of SNSs' content analysis [20,22,30,44]; (5) tourists' destination experiences with DMOs' SNSs [45][46][47][48][49]; and (6) the impact of DMOs' SNSs on online travelers' attitudes, visit and recommendation intentions, reactions to marketing and advertising messages, and bookings [29,31,33,[50][51][52][53][54][55][56][57][58]. Overall, and regardless of the topic covered, there is a prevalence of studies on Facebook (31 studies), Twitter (21 studies), YouTube (15 studies) and TripAdvisor (10 studies).…”
Section: Level Of Analysismentioning
confidence: 99%
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“…(2) the measurement of engagement with DMOs/NTOs' SNSs [9,21]; (3) the analysis of the drivers of travelers' engagement with and contribution to DMOs/NTOs' SNSs [42,43]; (4) new methodologies to measure travelers' attitudes towards destinations and attractions by means of SNSs' content analysis [20,22,30,44]; (5) tourists' destination experiences with DMOs' SNSs [45][46][47][48][49]; and (6) the impact of DMOs' SNSs on online travelers' attitudes, visit and recommendation intentions, reactions to marketing and advertising messages, and bookings [29,31,33,[50][51][52][53][54][55][56][57][58]. Overall, and regardless of the topic covered, there is a prevalence of studies on Facebook (31 studies), Twitter (21 studies), YouTube (15 studies) and TripAdvisor (10 studies).…”
Section: Level Of Analysismentioning
confidence: 99%
“…The outcomes of the use of Web 2.0 on destinations' potential, current, and past tourists and visitors have been examined in relation to several factors: tourists' sentiment about a destination [20,30]; tourists' attitudes towards a destination [31]; tourists' destination image formation [22,29,57]; users' intentions to visit and recommend a destination [28,33,55]; engagement with DMOs' Web 2.0 platforms [9,21,27]; and intention to develop positive word of mouth and to share travel experiences online [18,55].…”
Section: Outcomes Of the Use Of Web 20mentioning
confidence: 99%
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“…Third, since the ski market is consolidating (Vanat, 2019), ski areas need to better manage the dissemination of destinationrelated information such as e.g. snow conditions or the crowding status to secure satisfaction (Scholl-Grissemann et al, 2019). In the long run, it might be more promising to supplement the quantitative crowding measures with management recommendations for tourist-to-tourist encounters, not only in ski areas, but also beyond.…”
Section: Conclusion Implications and Future Researchmentioning
confidence: 99%
“…Further work is required to establish the effects of distribution mechanisms, which aim to reduce crowding. Additionally, research needs to consider the potential of upstream processes such as skiers' information-seeking behavior (Scholl-Grissemann et al, 2019) and downstream processes such as social media interactions. Future research can use a sequential mixed design (Onwuegbuzie & Leech, 2005) and crossvalidate the findings with objective data such as sold tickets, waiting times at ski lifts or available parking lots.…”
Section: Conclusion Implications and Future Researchmentioning
confidence: 99%