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- Fuchs, Matthias, et al.
(författare)
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Context-based adaptation of mobile applications in tourism
- 2010
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Ingår i: Information Technology & Tourism. - 1098-3058 .- 1943-4294. ; 12:2, s. 175-195
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Tidskriftsartikel (refereegranskat)abstract
- Mobile guides (based on PDAs, smart phones, or mobile phones) play an increasingly important role in tourism, giving tourists ubiquitous access to relevant information especially during their trip. Due to a more difficult access to mobile applications in a ubiquitous usage environment, based on time constraints, lighting conditions, bandwidth, etc., user acceptance of mobile applications strongly depends on the application adaptation to the concrete usage context. This article presents a framework for mobile applications in tourism, enabling a flexible implementation of adaptive, context-aware tourism applications. The framework especially provides approaches for user interface adaptation, content adaptation (recommendation), and interaction modality adaptation. The framework has been prototypically instantiated and evaluated in two different application scenarios, a city guide for the city of Innsbruck and a skiing guide for the ski resort DolomitiSuperski. Both application scenarios showed high usage rates and customer satisfaction and proved the applicability and effectiveness of the presented approach for developing adaptive mobile tourism applications.
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| 2. |
- Jannach, D., et al.
(författare)
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Leveraging multi-criteria customer feedback for satisfaction analysis and improved recommendations
- 2014
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Ingår i: Information Technology and Tourism. - : Springer Science and Business Media LLC. - 1943-4294 .- 1098-3058. ; 14:2, s. 119-149
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Tidskriftsartikel (refereegranskat)abstract
- Travel websites and online booking platforms represent today's major sources for customers when gathering information before a trip. In particular, community-provided customer reviews and ratings of various tourism services represent a valuable source of information for trip planning. With respect to customer ratings, many modern travel and tourism platforms-in contrast to several other e-commerce domains-allow customers to rate objects along multiple dimensions and thus to provide more fine-granular post-trip feedback on the booked accommodation or travel package. In this paper, we first show how this multi-criteria rating information can help to obtain a better understanding of factors driving customer satisfaction for different segments. For this purpose, we performed a Penalty-Reward contrast analysis on a data set from a major tourism platform, which reveals that customer segments significantly differ in the way the formation of overall satisfaction can be explained. Beyond the pure identification of segment-specific satisfaction factors, we furthermore show how this fine-granular rating information can be exploited to improve the accuracy of rating-based recommender systems. In particular, we propose to utilize user- and object-specific factor relevance weights which can be learned through linear regression. An empirical evaluation on datasets from different domains finally shows that our method helps us to predict the customer preferences more accurately and thus to develop better online recommendation services. © 2014 Springer-Verlag Berlin Heidelberg.
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| 3. |
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| 4. |
- Fuchs, Matthias, et al.
(författare)
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Behavioural Intention to use mobile information services in tourism : The case of the tourist guide Dolomiti SuperSki
- 2011
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Ingår i: Information Technology and Tourism. - 1098-3058. ; 13:4, s. 285-307
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Tidskriftsartikel (refereegranskat)abstract
- Mobile information services show great potential both as an on-site information source for customers and as a communication and distribution channel for tourism providers. Although in nontourism domains the adoption rate of using mobile technologies has been growing exponentially, comparable figures are only moderate in travel and tourism. Moreover, relatively little research has been conducted to understand travelers' behavioral intention to use mobile technologies. thus, the article proposes a technology acceptance model which is especially designed for mobile information services in the tourism domain. the model is an extension of the Unified theory of Acceptance and Use of technology, and is empirically tested through laboratory-based usage data obtained from users evaluating a mobile tourist guide developed for the ski resort DolomitiSuperski. Structural equation modeling (SeM) revealed that hedonic quality and social influence are main drivers of the behavioral intention to use mobile technologies in tourism, while monetary transparency and price fairness emerged as major usage barriers.
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