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Suche nach „[R.] [Law]“ hat 3 Publikationen gefunden
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    MobilF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Katerina Volchek, R. Law, D. Buhalis, H. Song

    Exploring Ways to Improve Personalisation: The Influence of Tourist Context on Service Perception

    e-Review of Tourism Research, vol. 17, no. 5, pp. 1-16

    2020

    Abstract anzeigen

    The heterogeneity and dynamic nature of tourist needs requires an advanced understanding of their context. This study aims to investigate the effects of observable factors of internal and external contexts on tourist perceptions towards personalised information services performance. An exploratory approach is used to test measurement invariance and the moderating effects of personal, travel, technical and social parameters of the tourist context, when applicable. The findings demonstrate that contextual factors motivate tourists to attribute different meanings to the parameters of the service, that have already been personalised for them. Individually developed personalisation design solutions are required for each travel context.

    MobilF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Katerina Volchek, R. Law, D. Buhalis, H. Song

    The Good, the bad, and the ugly: Tourist perceptions on interactions with personalised content

    e-Review of Tourism Research, vol. 16, no. 2-3, pp. 62-67

    2019

    Abstract anzeigen

    Personalisation is a critical factor in superior customer experience and retention. It is also observed to be acause ofuserfrustration. This paper challenges the assumption that accurate content personalisation always positively affects tourist perceptions on the usefulness and ease of use of the information systems. The study integrates the logic of technology acceptance and the process of human motivation to explain personalised recommender system acceptance. In-depthsemi-structuredinterviews with tourists, industry practitioners, and academic experts were used in research. The findings illustrate that the characteristics of personalised content have double and, sometimes, ambivalent influence on tourist perceptions on system performance. A comprehensive strategy is required to optimise the potential of personalisation. This study expands the understanding of tourist interactions with personalised content and calls for further exploration of the effects of information system components on user experience.

    MobilF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    Katerina Volchek, H. Song, R. Law, D. Buhalis

    Forecasting London Museum Visitors Using Google Trends Data

    Proceedings of the ENTER2018 eTourism Conference

    2018

    Abstract anzeigen

    Information search is an indicator of tourist interest in a specificservice and potential purchase decision. User online search patterns are a well-known toolfor forecasting pre-trip consumerbehaviour, such as hotel demand and international tourist arrivals. However, the potential of search engine data for estimating thedemand for tourist attractions, which is created both before and during a trip, remains underexplored. This research note investigates the relationships between Google search queries for the most popular London museums and actual visits to theseattractions. Preliminary findings indicatehigh correlation between monthly series data. Search query data isexpected togenerate reliable forecasts ofvisits toLondon museums.