| 1. |
- Höpken, Wolfram, et al.
(författare)
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Mobile Dienste für den Tourismus : Technischer Framework und exemplarische Instanziierung
- 2010
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Ingår i: M-Tourism<em> </em>. - Vienna : Gabler Verlag/GWV Fachverlage GmbH. - 9783834923622 ; , s. 223-236
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Mobile services support the tourist during all trip phases and increasingly supplement traditional information services. Due to their ubiquity, mobile services offer access to relevant information and services anytime and anywhere. This paper presents a technical framework for implementing mobile services as well as an exemplary instantiation in form of a mobile winter guide for the ski resort DolomitiSuperski. The application of the mobile guide in the winter season 2008/2009 showed high usage rates, thus, approving the relevance of mobile services in the usage context winter destination as well as the effectiveness of the developed framework. The second part of the paper presents the results of a usage analysis and discusses determinants of user satisfaction and potential usage-barriers.
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| 2. |
- Kronenberg, Kai, et al.
(författare)
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The Socio-economic impact of regional tourism : an occupation-based modelling perspective from Sweden
- 2024
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Ingår i: A sustainable tourism workforce. - New York : Routledge. - 9781032564166 - 9781003435457
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Bokkapitel (refereegranskat)abstract
- Traditional measurements of tourism’s economic impact refer to primary and secondary effects that are typically quantified through input–output (IO) methodology. From a sustainable regional development perspective, however, economic impact analyses are criticised for their one-dimensional analysis focussing mainly on growth-oriented effects represented by aggregates for output, employment, income or tax. Although existing literature comprises various extensions of IO models, the focus of these models is restricted to indicators at a high aggregate level. Thus, distributional or other socio-economically important aspects related to the tourism workforce are seldom discussed. In our approach to study tourism’s impacts over a nine-year period, we consider macro-and meso-level perspectives and disaggregate tourism’s impact on regional employment and income for particular occupational areas in the Swedish region of Jämtland. Results indicate weakening employment effects; relatively low but increasing income-inequalities; and increasing shares of elementary positions with precarious working conditions despite para-industrial initiatives from tourism institutions to develop the industry. By enhancing traditional tourism economic impact methodology, we hope that our approach is supportive in putting the tourism workforce at the heart of the regional development and tourism sustainability discourse.
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| 3. |
- Fuchs, Matthias, 1970-, et al.
(författare)
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Strategic Use of Information Technologies in Tourism : A Review and Critique
- 2022
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Ingår i: Handbook of e-Tourism. - Switzerland : Springer Nature. - 9783030053246 ; , s. 1109-1145
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Bokkapitel (refereegranskat)abstract
- The impact of information and communication technologies (ICTs) on firms’strategic development and value creation has been a topic of academic debatefor decades. Tourism is no exception. This chapter provides a synthesis ofthe literature on the strategic decision to adopt and use ICTs as well as ananalysis of their impact on the value creation of tourism firms. We reflecton theoretical frameworks and analytical concepts developed and validated bytourism scholars, their implications for ICT use, and the factors affecting therealization of ICT-enhanced business value. Problems of measurement, analysis,and organizational adjustments appear as major factors behind volatile ICTproductivity in tourism, known as the ICT Productivity Paradox. To ensure the realization of ICT-enhanced business value, various adjustment strategies,including the development of firms’ capabilities, cultures, and organizationalstructures, are addressed. The discussion section critically assesses the reviewedliterature on the strategic use of ICTs in tourism. Finally, the conclusion deducesresearch needs and sketches an agenda for future research.
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| 4. |
- Chekalina, Tatiana, 1979-, et al.
(författare)
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Customer-based Destination Brand Equity Model
- 2022
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Ingår i: Encyclopedia of Tourism Management and Marketing. - Cheltenham, UK : Edward Elgar Publishing. ; , s. 742-744
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Bokkapitel (refereegranskat)abstract
- The customer-based destination brand equity model (CBDBE) captures knowledge about the complex relationships between tourists and tourism destination brands (e.g., Buhalis and Park, 2021; Chekalina, Fuchs and Lexhagen, 2018; Tran, Nguyen and Tran, 2021). Theoretically, the CBDBE model is derived from cognitive psychology and depicts tourists’ complex responses to a tourism destination’s name. The model aims to understand the multi-dimensional brand-related memory structures that tourists hold about a destination. As a managerial tool, the CBDBE model allows us to measure a destination brand’s strength and thus evaluate a destination’s marketing success. Destination managers use the CBDBE model to identify areas that allow them to upgrade destination marketing strategies, promotional campaigns and destination product development (Tran et al., 2019).
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| 5. |
- Chekalina, Tatiana, 1979-, et al.
(författare)
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Facilitating smartly packaged nature-based tourism products through mobile CRM applications
- 2021
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Ingår i: Nordic Perspectives on Nature-based Tourism. - Cheltenham : Edward Elgar Publishing. - 9781789904024 ; , s. 222-236
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Bokkapitel (refereegranskat)abstract
- In the nature-based tourism (NBT) context, mobile applications may contribute to major aspects of the travel process, from anticipation and planning to documentation and sharing of the outdoor experience. For destinations and service providers, mobile technologies serve the purpose of building, maintaining and improving customer relationships between destination suppliers, their customers as well as between customer-peers. Therefore, mobile customer-relationship management (CRM) applications can facilitate and improve the daily operational work in the small-scale NBT domain by optimally combining the key components of the NBT tourism system, i.e. recreation activities, lodging, food, infrastructures, transportation and other services and features of the servicescape, intelligently offered as ‘smart package’. After a brief state of the art review, the chapter presents findings from an explorative assessment of existing mobile apps designed for outdoor experience facilitation. The chapter provides theoretical and applied insights into the capacity of mobile technology for smart packaging of NBT products.
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| 6. |
- Fuchs, Matthias, 1970-, et al.
(författare)
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Clustering : Hierarchical, k-Means, DBSCAN
- 2022
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Ingår i: Applied Data Science in Tourism. - Cham : Springer Nature. - 9783030883881 - 9783030883898 ; , s. 129-149
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Bokkapitel (refereegranskat)abstract
- This chapter will discuss the unsupervised machine learning technique known as clustering and its main approaches and use cases. After presenting typical application areas for the tourism industry, the mathematical principle of clustering will be explained. Various techniques for representing differences between cases or clusters will be introduced, and major methods used to form clusters based on these differences will be presented (i.e., single linkage, complete linkage, average linkage, and centroid). Subsequently, the three most widely applied clustering approaches will be described. First, major concepts of hierarchical clustering, like divisive and agglomerative techniques, will be highlighted. Second, the partitioning technique k-means will be introduced, and, third, DBSCAN (Density-Based Spatial Clustering of Applications with Noise) will be discussed. By using real tourism data and the data science platform RapidMiner, the practical demonstration will then explain step-by-step how clustering approaches can be executed. After employing typical processes for data transformation and normalization, RapidMiner processes for k-means, hierarchical clustering, and DBSCAN will be shown, and the clustering results will be discussed. Lastly, a tourism case applying k-means and DBSCAN to identify points of interest based on uploaded photo data extracted from the platform Flickr will conclude the chapter.
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| 7. |
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| 8. |
- Fuchs, Matthias, et al.
(författare)
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E-Business horizons in the tourism industry - Challenges for research and practice
- 2011
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Ingår i: Food, Agri-Culture and Tourism. - Berlin : Springer. - 9783642113604 ; , s. 140-160
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The discussion paper highlights challenges for the travel and tourism industry provoked by new information and communication technologies (ICTS) as well as related veins of e-Business research. First of all, the paper explores stylized facts from the last 15 years of web history in tourism and delineates actual levels of ICT adoption in tourism. Moreover, behavioural and structural changes on account of ICT in tourism are explained by adopting a multi-disciplinary approach. Finally, an innovative ICT application from tourism practice the destination guide www.dolomitiSuperski.mobi is portrayed. In the outlook the paper sketches the future of e-Tourism research by highlighting the interrelation between computer, information and management sciences.
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| 9. |
- Höpken, Wolfram, et al.
(författare)
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Business intelligence in tourism
- 2022
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Ingår i: Handbook of e-Tourism. - Switzerland : Springer Nature. ; , s. 497-527
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Bokkapitel (refereegranskat)abstract
- Business intelligence encompasses all activities dealing with collecting, storing/-managing, and analyzing business-relevant data with the objective of generating knowledge as input to decision support. Business intelligence is often used as an umbrella term for data warehousing, reporting and OLAP (online analyticalprocessing), MIS/DSS, and data mining, respectively. If we count all topics listed above, it is obvious that business intelligence hasquite a long history also in the tourism domain. As early examples in tourism,we can identify the DINAMO system introduced by American Airlines alreadyin 1988 or TourMIS in 1998.The widespread use of ICT, especially the uptake of the Internet and social media, led to an increase of available data on customers, competitors, and thewhole market in all major business domains, including tourism. More powerful hardware and sophisticated methods to store and analyze such data turned business intelligence into one of the fastest-growing technologies and most challenging areas in the last decade. This chapter gives an overview on the topic of business intelligence and all technical components of a BI architecture (i.e., information extraction and transformation, data warehousing, and different mechanisms and tools to access and analyze data, like reporting or OLAP tools, dashboards, or data mining tool sets). Moreover, the chapter looks at the history of BI in tourism and presents and discusses typical application scenarios in tourism. Finally, we look at currenttrends and latest developments in the area of business intelligence and their expected implications for the tourism domain.
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