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- Höpken, Wolfram, et al.
(författare)
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Multi-dimensional data modelling for a tourism destination data warehouse
- 2013
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Ingår i: <em></em><em>Information and Communication Technologies in Tourism 2013, </em>Proceedings of the ENTER Conference 22-25 January 2013, Innsbruck, Austria. - : Springer Berlin/Heidelberg. ; , s. 157-169
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Konferensbidrag (refereegranskat)abstract
- Information and communication technologies (ICTS) play a crucial role to increase the knowledge base of destination stakeholders. Organisational learning and managerial effectiveness can particularly be enhanced by applying methods of business intelligence (BI). Although huge amounts of data are available in tourism destinations these valuable knowledge sources typically remain unused. The described problem is solved by conceptualizing, prototypically implementing and testing a novel destination management information system (DMIS) that applies methods of BI and data warehousing for the leading Swedish ski destination, Åre. As being a central DMIS component, the destination-wide data warehouse (DW), its underlying multi-dimensional data model, the technical architecture, as well as critical implementation issues are discussed. Finally, the prototypical implementation of the DMIS focussing on the data warehouse and OLAP functionalities for customer feedback processes proved the suitability and effectiveness of the proposed overall architecture.
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- Höpken, Wolfram, et al.
(författare)
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The knowledge destination : – a customer information-based destination management information system
- 2011
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Ingår i: <em>Information and Communication Technologies in Tourism 2011</em>. - Vienna : Springer. - 9783709105023 ; , s. 417-429
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Konferensbidrag (refereegranskat)abstract
- Huge amounts of customer-based data, such as tourists' website navigation, transaction and survey data are available in tourism destinations, however, remain largely unused (Pyo, 2002). This paper presents the concept of a knowledge-based destination management information system (DMIS) that supports value creation through enhanced decision making. Information is extracted from heterogeneous data sources of the Swedish tourism destination of Are and is categorized in explicit feedback (e.g. survey data) and implicit information traces (e.g. navigation and transaction data). Methods of business intelligence are applied to retrieve interesting data patterns, thus, to generate knowledge in the form of empirically validated models. The paper deduces new insights about the applicability of data mining techniques and related models at tourist destinations depending on the type of tourism data and concrete problem characteristics at hand (Pick & Schell, 2002).
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- Keil, Dimitri, et al.
(författare)
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Optimizing user interface design and interaction paths for destination management information system
- 2017
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 9783319586403 ; , s. 473-487
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Konferensbidrag (refereegranskat)abstract
- Destination Management Organizations (DMO) being the central units in destination management within European destinations face increasing pressure due to effects of globalization. At the same time, effects of digitalization combined with methods summarized by the umbrella term of Business Intelligence create opportunities to tackle these challenges. Höpken et al. (2011) described how destinations can evolve to so-called knowledge destinations. With the help of a Destination Management Information System (DMIS) managers of DMOs as well as its various stakeholders are provided with holistic decision support when working on strategic development of the destination. The objective of this study is to conceptualize a novel DMIS user interface and evaluate its usability. The study (1) defines different analysis perspectives and corresponding performance indicators enabling a powerful decision support for destination managers and tourism stakeholders, (2) defines interaction paths along different abstraction levels to support drill-down analyses, and (3) evaluates the usability and understandability of the DMIS interface in the south-western Swedish destination Halland.
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