Maria Lexhagen
Mid Sweden University, ETOUR, Faculty Member
- https://www.miun.se/en/personnel/marialexhagen/edit
Optimizing user interface design and interaction paths for destination management information systems
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Popular culture tourism encompasses a range of expressive practices that attract fans traveling to destinations associated with their fandom pursuit. However, scholarship on this multifaceted phenomenon is today over-fragmented and... more
Popular culture tourism encompasses a range of expressive practices that attract fans traveling to destinations associated with their fandom pursuit. However, scholarship on this multifaceted phenomenon is today over-fragmented and obscured by separate disciplinary agendas and priorities. We argue that the scope and breadth of popular culture tourism calls for its interdisciplinary treatment as a distinct field. Through a scoping literature review, this paper identifies the foundational elements of its conceptual and ontological roots, extracting key insights and discursive themes that can help establish a comprehensive perspective on the study and management of popular culture tourism. Our inquiry builds common ground that can shed light on the complexity of popular culture expressions and enable their strategic role as a destination placemaking tool. Thematic areas of convergence resulting in the emergent configuration of the field are delineated, and primary research questions for the comprehensive study of popular culture tourism are outlined.
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The book chapter at hand presents a knowledge infrastructure recently implemented as genuine novelty at the leading Swedish tourism destination, Are. By applying a Business Intelligence (BI) approach, the Destination Management... more
The book chapter at hand presents a knowledge infrastructure recently implemented as genuine novelty at the leading Swedish tourism destination, Are. By applying a Business Intelligence (BI) approach, the Destination Management Information System Are (DMIS-Are) drives knowledge creation and application as a precondition for organizational learning at tourism destinations. Schianetz et al.’s (2007) concept of the ‘Learning Tourism Destination’ and the ‘Knowledge Destination Framework’ (Hopken et al. 2011) build the theoretical fundaments for the technical architecture of the presented BI application. After having briefly discussed the set of indicators measuring destination performance and tourist experience, the book chapter highlights how DMIS-Are is used to gain new knowledge from customer-based destination processes, like ‘Web- Navigation’, ‘Booking’ and ‘Feedback’. The chapter ends by outlining future research, such as the application of real-time Business Intelligence for gaining knowledge on tourists’ on-site behavior at the destination in real-time.
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Customer-Based Brand Equity Model for Tourism Destinations : Insights from Service Marketing
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Customer-Based Brand Equity Model for Tourism Destinations : Insights from Service Marketing
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I den har rapporten redovisas nagra forsta sammanstallningar fran en nationell enkatundersokning avseende svenskarnas fritidsaktiviteter i fjallen, deras besok i olika fjallomraden, landskapsrelati ...
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Research Interests: Sociology, Music, Tourism Studies, Technology, Literature, and 7 morePop Culture, Film, Tourism, Fans, Destination, Research Model, and Innovation
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Vintersportorten aret runt Del II : Produkt och marknadsforing – nulage, trender och benchmark
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Research Interests: History and Advertising
Foresight Outdoor Recreation : A discussion based on monitoring experiences in the Nordic context
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This study contributes to the development of knowledge on transferring the concept of customer-based brand equity to a tourism destination context. Keller’s brand equity pyramid is utilized as the comparison framework to reveal... more
This study contributes to the development of knowledge on transferring the concept of customer-based brand equity to a tourism destination context. Keller’s brand equity pyramid is utilized as the comparison framework to reveal similarities, but also overlaps, differences and gaps on both the conceptual and measurement level of existing brand equity models for destinations. Particularly, the inner core of the model depicts the complex mechanisms of how destination resources transform into benefits for tourists overlooked by prior research. This study proposes a customer-based brand equity model for destinations, which consists of five dependent constructs, including awareness, loyalty, and three destination brand promise constructs constituting the inner core of the model, namely, destination resources, value in use, and value for money. The model was repeatedly tested for the leading Swedish mountain destination Åre, by using a linear structural equation modeling approach. Findings...
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Dagens miljomal och framtidens fjallupplevelser : Iakttagelser av aktivitetsmonster, landskapsrelationer och kommunikationsformer
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Proceedings of the IFITTtalk@Ostersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Industry
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Planners and developers in regions showing touristic activities are typically interested in measuring the economic impact of tourism (Dwyer et al. 2004; Klijs et al. 2012; Kim & Kim 2015). However, even ‘advanced’ economic impact models... more
Planners and developers in regions showing touristic activities are typically interested in measuring the economic impact of tourism (Dwyer et al. 2004; Klijs et al. 2012; Kim & Kim 2015). However, even ‘advanced’ economic impact models neglect major societal dimensions, such as income equality or the type and quality of occupations in the various tourism-related sectors (Mazumder et al. 2012; Kronenberg et al. 2018). While neo-classic economics is still representing the dominant paradigm (Dobusch & Kapeller 2009), economic impact models ‘fulfill’ their purpose in incorporating the assumptions of mainstream economics and in focusing on macro-level indicators related to economic growth (Elsner 2017). However, a growing body of literature has begun criticizing mainstream economics’ modelling assumptions and its narrow view of ‘monetary reductionism,’ thus hampering advanced approaches able to consider socioeconomic effects (Söderbaum 2017). In their seminal paper on the Social Region,...
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Due to the perishable nature of tourism services and the limited capacity of tourism firms in serving customers, accurate forecasts of tourism demand are of utmost relevance for the success of tourism businesses. Nowadays, travellers... more
Due to the perishable nature of tourism services and the limited capacity of tourism firms in serving customers, accurate forecasts of tourism demand are of utmost relevance for the success of tourism businesses. Nowadays, travellers extensively search the web to form expectations and to base their travel decision before visiting a destination. This study presents a novel approach that extends autoregressive forecasting models by considering travellers’ web search behaviour as additional input for predicting tourist arrivals. More precisely, the study presents a method with the capacity to identify relevant search terms and time lags (i.e. time difference between web search activities and corresponding tourist arrivals), and to aggregate these time series into an overall web search index with maximal effect on tourism arrivals. The study is conducted at the leading Swedish mountain destination, Are, using arrival data and Google web search data for the period 2005–2012. Findings dem...
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The present study contributes to the discussion on transferring the concept of customer-based brand equity (CBBE) to a tourism destination context. The core component of the proposed CBBE model for tourism destinations (CBDBE) considers... more
The present study contributes to the discussion on transferring the concept of customer-based brand equity (CBBE) to a tourism destination context. The core component of the proposed CBBE model for tourism destinations (CBDBE) considers customers' evaluation of the destination promise in terms of the transformation of destination resources into value-in-use for tourists. The introduced CBDBE model consists of six interdependent constructs, including awareness, tourists' perception of functional, tangible and social destination resources, value-in-use disclosing the purpose and benefits of consumption, value-for-money, satisfaction and loyalty. The model was tested for the leading Swedish mountain destination Åre for the summer season by using customer-based survey data and a linear structural equation modeling (SEM) approach. Findings confirm the hypothesized relationships and the hierarchical structure of the proposed model. Managerial implications are discussed and the age...
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In the past few years, user generated content (UGC) has been taking an increasingly important role in tourism. Traveller’s experiences and opinions about destinations and tourism services support potential customers in their booking... more
In the past few years, user generated content (UGC) has been taking an increasingly important role in tourism. Traveller’s experiences and opinions about destinations and tourism services support potential customers in their booking decisions. Sentiments can be extracted automatically from UGC and be used as valuable input for managerial decisions. An important subtask of sentiment analysis is the task of topic detection, thus, identifying the topics or product features, like room, service, or food & drink in case of hotel reviews, the review is about. The paper presents an overall approach for extracting topics from touristic UGC, making use of different data mining techniques. The applied data mining techniques are compared and evaluated on the base of hotel reviews regarding the Swedish mountain tourism destination Are.
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... tomer anytime and anyplace. Similar to the argu-ment behind the importance of mobile access to 2001). ... If no A Web questionnaire was used in this study to collect data. ... Proposition 15: A booking form is a more impor-ers in the... more
... tomer anytime and anyplace. Similar to the argu-ment behind the importance of mobile access to 2001). ... If no A Web questionnaire was used in this study to collect data. ... Proposition 15: A booking form is a more impor-ers in the Swedish tourism industry. Visitors to the ...
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Denna bok ar ett resultat av drygt ett ars arbete i forskningsprojektetPopCulTour pa turistforskningsinstitutet etour,Mittuniversitet. Forskningsprojektet fokuserar pa att skapakunskap om popularku ...
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Customer based brand equity modelling for big data analytics in tourism destinations : a case from Sweden
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Value co-creation modelling for big data analytics : the destination management information system Are
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Nastan alla vintersportorter runtom i varlden ar upptagna av fragan om hur man skall forlanga sasongerna och kanske i synnerhet hur man skall fa barmarkssasongen till att bidra till att ge avkastni ...
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Based on Grant's (1996) knowledge-based view of the fi rm, Jafari's (2001) knowledge-based platform of thinking and Schianetz, Kavanagh and Lockington (2007a) Learning Tourism Destination, the Knowledge Destination Framework... more
Based on Grant's (1996) knowledge-based view of the fi rm, Jafari's (2001) knowledge-based platform of thinking and Schianetz, Kavanagh and Lockington (2007a) Learning Tourism Destination, the Knowledge Destination Framework (Hopken, Fuchs, Keil & Lexhagen, 2011) is introduced and a Web-based Destination Management Information system (DMIS) is presented. It is illustrated how knowledge creation, exchange and application processes can be improved by applying a Business Intelligence approach. By focusing on Online-Analytical Processing (OLAP), exemplarily for the Swedish tourism destination of Are, it is highlighted how DMIS can be used as a monitor for measuring the proportion of tourists with the smallest ecological footprint (Dolnicar, Crouch & Long, 2008; Dolnicar & Leisch, 2008). After a discussion of study limitations, future research steps are outlined. Th e paper concludes by providing some critical remarks on the political economics of sustainability on a global scale...
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Relationsmarknadsforing och teknologi i tjansteforetag : Intern marknadsforing en forutattning?
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The objective of this chapter is to address the above deficiencies in tourism by presenting the concept of the tourism knowledge destination – a specific knowledge management architecture that supports value creation through enhanced... more
The objective of this chapter is to address the above deficiencies in tourism by presenting the concept of the tourism knowledge destination – a specific knowledge management architecture that supports value creation through enhanced supplier interaction and decision making. Information from heterogeneous data sources categorized into explicit feedback (e.g., tourist surveys, user ratings) and implicit information traces (navigation, transaction, and tracking data) is extracted by applying semantic mapping, wrappers, or text mining. Extracted data are stored in a central data warehouse enabling a destination-wide and all-stakeholder-encompassing data analysis approach. By using machine learning techniques interesting patterns are detected and knowledge is generated in the form of validated models (e.g., decision trees, neural networks, association rules, clustering models). These models, together with the underlying data (in the case of exploratory data analysis) are interactively v...
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Purpose The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most... more
Purpose The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most prominent clustering approaches to identify POIs in various application scenarios. Design/methodology/approach The study, first, extracts photo metadata from Flickr, such as upload time, location and user. Then, photo uploads are assigned to latent POIs by density-based spatial clustering of applications with noise (DBSCAN) and k-means clustering algorithms. Finally, association rule analysis (FP-growth algorithm) and sequential pattern mining (generalised sequential pattern algorithm) are used to identify tourists’ behavioural patterns. Findings The approach has been demonstrated for the city of Munich, extracting 13,545 photos for the year 2015. POIs, identified by DBSCAN and k-means clustering, could be meaningfully assigned to well-known POIs. B...