Duerr M, Kueng N, Stangl B, Schegg R (2013) eFitness of Destination Websites ? Still more to go, e-Review of Tourism Research (eRTR) 4 pp. 1-5
Website evaluation has been examined by researchers for many years resulting in various suggestions concerning which key success factors to consider and how to proceed. However, due to advances in technology there is a need to continuously reconsider dimensions and criteria. This study evaluates the performance of 40 DMO websites from Austria and Switzerland applying an updated catalogue of criteria called eFitness Check-Update. Results show that DMOs have room for improvements regarding Interactivity and Legal Aspects. Furthermore, Common State-, Competitive Advantage-, and Future Potential Dimensions are revealed, and Austrian and Swiss results are compared.
Stangl B, Kastner M, Polsterer F (2012) Social Virtual Worlds' Success Factors: Four Studies' Insights for the Tourism Supply and Demand Side, Proceedings of the 45th Hawaii International Conference on System Sciences (HICSS-45) pp. CD-CD IEEE Computer Society?s Conference Publishing Services
Stangl B, Dickinger A (2009) Differences in Web Site Preferences Based on the Information Search Task: Findings from a Goal Directed and Exploratory Search Setting, Proceedings of the 38th EMAC: Marketing and the Core Disciplines: rediscovering references? pp. CD-CD European Marketing Academy Association
Wozniak T, Stangl B, Schegg R, Liebrich A (2016) Do Social Media Investments Pay Off? ? Preliminary Evidence from Swiss Destination Marketing Organizations,
Park S, Stangl B (2016) Augmented Reality Experiences and Sensation Seeking,
Kastner M, Stangl B (2012) Mapping Segments Accessing User Generated Content and Website Applications in a Joint Space, International Journal of Culture, Tourism, and Hospitality Research 6 (4) pp. 389-404 Emerald
Stangl B (2009) Relationship between motivation and website features: Do adventure and relaxation seeking travelers differ? An exploratory study, CAUTHE 2009 see CHANGE: tourism & hospitality in a dynamic world pp. CD-CD Promaco Conventions PTY LTD
Stangl B, Renio S, Wang D, Yuan Y (2016) ENTER 2016 PhD Workshop Research Proposals, IFITT/ENTER
Hofbauer J, Stangl B, Teichmann K (2010) Online
Destination Marketing: Do Local DMOs Consider International Guidelines for Their Website Design?, Information Communication Technologies in Tourism pp. 261-271 Springer
Stangl B, Weismayer C (2008) Websites and Virtual Realities: a Useful Marketing Tool Combination? An Exploratory
Investigation, Information and Communication Technologies in Tourism pp. 141-151 Springer
Kroesbacher C, Loibl W, Stangl B (2012) Revealing both emotional & cognitive mental models of cultural attraction visitors, In: Kleinprojekte von WU-Assistent/inn/en (Small research projects for WU-Vienna Research and Teaching Assistants) Vienna University of Economics and Business (WU Vienna)
Stangl B (2011) User-based website design in tourism with a special focus on web 2.0 websites. Doctoral Dissertation Summary, European Journal of Tourism Research 4 (1) pp. 70-74
Stangl B, Polster L (2011) Applying a Participative Pricing Strategy to Self-Assembled Summer Holiday Packages, Proceedings of the 40th EMAC: The Day After ? Inspiration, Innovation, Implementation pp. CD-CD European Marketing Academy Association
Mazanec J, Ring A, Stangl B, Teichmann K (2013) Advanced analytical methods in tourism marketing research: usage patterns and recommendations, In: McCabe S (eds.), The Routledge Handbook of Tourism Marketing 14 pp. 181-196 Routledge
The issue of marketing metrics in the digital era is particularly relevant given the potential opportunities provided by 'big data' and the need to understand how to evaluate social media marketing activity. The section opens with a review of quantitative methods in tourism marketing research (Chapter 14). Mazanec, Ring, Stangl and Teichmann begin by reviewing the main techniques used in tourism marketing research. They argue that in general there is a lag in methods being adopted in tourism research from the main marketing field. Examples such as Principal Component Analysis and social and semantic network analysis are provided. The authors deal with foundational issues such as critical factors underpinning knowledge drawn from scales; a range of issues relating to assumptions underpinning Structural Equation Modelling; segmentation and clustering techniques and discrete choice modelling. The chapter synthesizes the main methodological issues facing quantitative marketing analysts in tourism and provides new avenues for future research that promise to overcome current challenges.
Kastner M, Stangl B (2013) Exploring a text-to-speech feature by describing learning experience, enjoyment, learning styles, and values - A basis for future studies, pp. 1-10 IEEE Computer Society's Conference Publishing Services
Speech is the most natural form of face-to-face communication. Due to more sophisticated information systems and advanced educational requirements speech also recognizes growing importance in humancomputer interaction. The present study investigates a text-to-speech (TTS) feature in a learning context. 252 questionnaires allow for descriptions concerning positive and negative experiences of TTS learners. Additionally, descriptive insights for enjoyment factors are provided and differences between German and English texts are shown. Furthermore, preferences of different learning styles and values of TTS features conveyed are explored. Findings provide a starting point for more specific future studies through insights into TTS evaluation in a learning context. Based on positive and negative experiences 13 dimensions relevant for a performance measurement scale are suggested. It is shown that among others, theoretical texts and exercises are appreciated as TTS especially by the aural learning style to enable for instance language learning on the go.
Mazanec J, Ring A, Stangl B, Teichmann K (2010) Usage patterns of advanced analytical methods in tourism research 1988 -2008: A six journal survey, Journal of Information Technology and Tourism 12 (1) pp. 17-46
Advanced analytical methods alone do not warrant progress in scientific discovery. But their frequency of use, whether individually or in combination, and their variation over time reflect the researchers' perceived benefit. This survey covers more than 4,600 articles with more than 2,000 applications of advanced (multivariate) methods. Regression-Based Methods and Exploratory Factor Analysis account for 45% of all applications. In third place and by far the fastest growing analytical instrument is Structural Equation Modeling (SEM), followed by clustering techniques. Numerous other methods are in occasional use. Best practice examples, smart combinations of analytical methods, and underutilized methods with a promising application potential are identified. Typical pitfalls and shortcomings get diagnosed. Three of the most popular method classes and application areas, viz. scale development, SEM, and classification methods, are portrayed in greater detail and highlighted regarding their tourism-specific mode of employment
Stangl B, Dickinger A (2010) How Communication Modes Determine Website Satisfaction, Information Communication Technologies in Tourism pp. 273-284 Springer
Keiler S, Stangl B, Pezenka I (2009) Reiserecht, Tagungsband des Europäischen Reiserechtstages 2008, Springer
PWYW as a pricing mechanism has gained some momentum in the marketing literature with very few applications in tourism. This study examines visitors? perceptions of PWYW based on self-assembled tourism packages for a destination and compares the profitability of using such an approach with that of a traditional pricing method. From a sample of 714 visitors to Längenfeld, Austria, the results indicated that visitors primarily assembled four packages out of 20 options offered. These packages had different minimum, maximum and fair prices that these visitors were willing to pay. Visitors who chose a ?Healthy Lifestyle Package? was willing to pay higher prices, for both minimum and maximum prices, compared to the other three packages. PWYW leads to higher profitability for suppliers compared to traditional list prices. Implications for collaborative destination marketing are offered.
Kastner M, Stangl B (2011) (Dis)Satisfiers in eLearning, In: Kleinprojekte von WU-Assistent/inn/en (Small research projects for WU-Vienna Research and Teaching Assistants) Vienna University of Economics and Business (WU Vienna)
Stangl B, Schneider A (2009) Do emotional mental models before and after an effective visitation of a virtual world differ?, Information and Communication Technologies in Tourism pp. 493-505 Springer
Kastner M, Ring A, Stangl B (2010) FACETS Rasch Software illustriert am Beispiel von Multiple-Choice-Tests in Marketing, In: IRT Software: Überblick und Anwendungen 103 Vienna University of Economics and Business, Research Report Series of the Department of Statistics and Mathematics
Engele V, Stangl B, Teichmann K (2009) What do consumers want from their e-fellows? Segmenting travelers based on their preference for hotel review categories, CAUTHE 2009 see CHANGE: tourism & hospitality in a dynamic world pp. CD-CD Promaco Conventions PTY LTD
Werthner H, Alzua-Sorzabal A, Cantoni L, Dickinger A, Gretzel U, Jannach D, Neidhardt J, Pröll B, Ricci F, Scaglione M, Stangl B, Stock O, Zanker M (2015) Future research issues in IT and tourism: A manifesto as a result of the JITT workshop in June 2014, Vienna, Information Technology and Tourism 15 (1) pp. 1-15
© 2015, Springer-Verlag Berlin Heidelberg.The objective of this manifesto (as a result of the JITT workshop in June 2014) is to identify a list of pivotal research topics and issues in e-tourism. E-tourism can be seen as everything that happens electronically in the travel and tourism industry/experience; more formally it is defined as the design, implementation and application of IT and ecommerce solutions in the travel and tourism industry as well as the analysis of the impact of the respective technical and economic processes and market structures on all the involved actors and especially on the traveller?s experience. In tourism as an ?information business?, Information Technology has always played an important role since the 1960s with the computerized reservation systems/global distribution systems; these were one of the first world-wide electronic networks. And since the beginning of the Web in the early 1990s, travel and tourism was and is a major application domain for Web-based services. As such, the domain is also a major driver of technological innovation. This manifesto provides guidelines on strategic research issues for the research community, but as such it is also conceived as a basis document for industry and policy makers.
Kastner M, Stangl B (2011) Mapping Learning Aids and Introducing Learning Styles as a Moderator, Proceedings of the 44th Hawaii International Conference on System Sciences (HICSS-44) pp. CD-CD IEEE Computer Society?s Conference Publishing Services
Stangl B, Dickinger A (2010) Tourism Website Performance ? An Alternative Measurement Approach, Proceedings of the 39th EMAC: The 6 Senses ? The Essentials of Marketing pp. CD-CD European Marketing Academy Association
Dickinger A, Stangl B (2012) Tourism Website Performance and Behavioral Consequences: A Formative Measurement Approach, Journal of Business Research
Teichmann K, Stangl B (2010) Are possibilities of the Internet tapped to the full potential? A systematic inventory of 3D
applications in the tourism industry., Proceedings of the 39th European Marketing Academy Conference (39th EMAC) pp. CD-CD European Marketing Academy Association
Teichmann, Karin, Stangl, Brigitte. (2010). Are possibilities of the Internet tapped to the full potential? A systematic inventory of 3D
applications in the tourism industry. The 6 Senses ? The Essentials of Marketing, Publisher. 39th European Marketing Academy Conference (39th EMAC), CD-CD. Copenhagen ? Denmark. (VHB: D)
Dickinger A, Stangl B (2012) Online Information Search: Differences between Goal-Directed and Experiential Search, Journal of Information Technology and Tourism 13 (3)
Stangl B (2014) The experience economy, co-creation and
its implications for the tourism industry
The choice of products and services customers can choose from today has been increasing. At the same time satisfying informed, networked and experienced customers is becoming more difficult. The demand side not only requires high quality goods and services but also customized content and unique experiences. In this so-called experience economy, the creation of value is at the core of economic exchange. Understanding co-creation, that is how value is created collaboratively by suppliers and customers, is becoming the dominant theme for managers striving for differentiation and competitive advantage. Some of the major challenges and implications with regards to the co-creation of experiences, the nature of involvement and the interaction between the firm and customers as equal problem-solvers will be discussed.
Schegg R, Stangl B, Fux M, Inversini A (2013) Distribution Channels and Management in the Swiss Hotel Sector, Information communication Technologies in Tourism 2013 pp. 554-565 springer
This research investigates how the hospitality sector in Switzerland has embraced the new world of (online) distribution. It analyses the role of existing distribution channels, and gives insights into channel management methods used. Data is gathered through an online survey among Swiss hotels resulting in 196 usable questionnaires. Findings show that direct booking channels remain the dominant sales tools in Switzerland, although their proportion in the distribution mix has been decreasing steadily in the last years. The Internet Distribution System channel reaches 16.4% and thus is the channel with the highest growth rate in 2011. A cluster analysis on multi-channel distribution strategies results in four groups: multi-channel distributors, electronic distributors, real time distributors, and traditional distributors. Further, it is shown that more than half of the hotels manage rates and availabilities manually and only one out of four hotels has implemented a channel manager able to manage different channels.
Kastner M, Stangl B (2011) (Dis-)Satisfiers for e-Learning User Interfaces, Proceedings of the International Conference on Information Systems (ICIS 2011) pp. CD-CD AIS Association for Information Systems
Hrsg. ICIS, xx-xx. Shanghai, China.
Stangl B (2010) User-based website design in tourism with a special focus on web 2.0 websites,
Stangl B, Kastner M, Prayag G (2016) PAY-WHAT-YOU-WANT (PWYW) PRICING FOR HIGH-VALUE PRICED SERVICES: POTENTIAL, NEW AND REPEAT CUSTOMERS,
Ernst A, Kastner M, Stangl B, Teichmann K (2009) Die Präferenzen der österreichischen Mobiltelefonkunden: Anwendung des LLBT für Conjoint Ratingdaten, In: Hatzinger R, Dittrich R, Salzberger T (eds.), Präferenzanalyse mit R pp. 73-98 Facultas
Stangl B (2012) Emotional mental models, In: Seel NM (eds.), Encyclopedia of the Sciences of Learning Springer
Over the past decade, the phenomenon of social media has grown at a tremendous pace. Well established social
media platforms such as Facebook or YouTube now count more than 1 billion users (Facebook, 2016; YouTube,
2016). New social media platforms have continued to emerge and reach hundreds of millions of users within only
a few years ? as the examples of Instagram and Pinterest demonstrate (Instagram, 2016; Pinterest, 2016). The
massive use of social media for the creation and exchange of user-generated content, including word-of-mouth,
offers great potential for marketing, but can also turn into organizations? nightmares (Kaplan & Haenlein, 2010,
This study contributes to the limited literature on the pricing method of pay-what-you-want (PWYW) in the context of a high-value service. The study evaluates the applicability and profitability of PWYW by comparing the minimum, maximum, and PWYW prices to traditional list prices of Europe's biggest dance festival (ImPulsTanz). Results from an analysis of secondary data from ImPulsTanz reveal a pricing structure mainly demographic-based. Survey results show that PWYW prices differ between three customer groups (potential, new, and repeat). Comparing potential, new, and repeat customers, the latter is willing to pay the highest prices. Despite all customers indicating their willingness to pay for the service, PWYW prices are lower than traditional list prices. Findings also confirm the existence of three segments of customers with diverse price consciousness and quality, and value perceptions. Implications for the pricing and promotion of high-value services using PWYW are offered.
Innovative pricing methods such as auctions, Name-Your-Own-Price and Pay-What-You-Want (PWYW) are fairly recent. These pricing approaches allow sellers and customers to collaborate in the price setting process (Amor, 2000; Shapiro & Zillante, 2009). PWYW, in particular, goes a step further by allowing customers to decide which price they want to pay after consumption. As such, this approach takes away the power of price setting from the seller. The customer is free to set any price (even zero) and the seller has to accept it (Kim, Natter, & Spann, 2009). Studies on PWYW provide insights into why the approach works in certain societies (Bolton, 1991; Elster, 1989; Gneezy, Gneezy, Riener, & Nelson, 2012), which factors (e.g. satisfaction, income and price consciousness) impact on the PWYW price people pay, and its profitability for various services (Chao, Fernandez, & Nahata, 2015; Kim et al., 2009; Schons et al., 2014). There is currently no study in the tourism field that either applies PWYW at the destination level to evaluate profitability or the impact of PWYW on subsequent tourist satisfaction. The study contributes to the dearth of literature on collaborative pricing in the tourism field.
Recent developments in Virtual Reality (VR) technology present a tremendous opportunity for the tourism industry. This research aims to better understand how the VR experience may influence travel decision making by investigating spatial presence in VR environments and its impact on attitudes toward tourism destinations. Based on a study involving virtual walkthrough of tourism destinations with 202 participants, two dimensions of spatial presence were identified: being somewhere other than the actual environment and self-location in a VR environment. The analysis revealed that users? attention allocation to VR environments contributed significantly to spatial presence. It was also found that spatial presence positively affects post VR attitude change toward tourism destinations, indicating the persuasiveness of VR. No significant differences were found across VR stimuli (devices) and across prior visitation.
Self-driving cars are ready to serve customers, but previous studies found that the general public is still cautious to ride in autonomous vehicles. This study investigated the influence of attitude and trust in technology on intention to use self-driving taxi. Based on a survey with 325 residents in the United States (US), this research found low level of negative attitude towards technology (computers and robots) and high level of trust in autonomous vehicles. The likelihood of using self-driving taxi at home (as residents) and for travel (as tourists) is negatively influenced by perception that technology is dehumanizing and positively by expectations of reliability, functionality, and helpfulness of self-driving taxi. The analysis also revealed the effects of current patterns of mobility and innovativeness on intention to use self-driving taxi.
In order to better understand the effectiveness of location-based mobile games in shaping user behaviour, this study investigates the behavioural impacts of playing Pokémon GO on mobility (i.e., travel) and consumption (i.e., spending) and its effects on users? wellbeing. Based on a survey with 405 players in the United States (US), three types of impacts were identified: sense of community (social), mobility (visitation to places), and physical activities. Two dimensions of players? wellbeing were also identified: improved daily functions and psychosocial functions. Enjoyment of the game as well as motivation to win a battle were consistently found to affect these behavioural impacts. Additionally, these factors also increase the probability of players? spending money on induced consumption, such as for retail, restaurants, and travel.
In light of the trend in integrating artificial intelligence and robotics into tourism and hospitality operations, it is important to understand consumer responses to hotel service robots. Two studies were conducted to achieve this objective: an online survey and a laboratory experiment using measurements of automatic emotional reactions via biosensors. Responses to two types of robots, NAO for check-in and Relay for room delivery, were tested. Study 1 demonstrates that consumer intention to adopt hotel service robots is influenced by human-robot interaction dimensions of anthropomorphism, perceived intelligence, and perceived security. Differences were found between NAO and Relay: NAO?s adoption depends on anthropomorphism and perceived security, while Relay?s on perceived intelligence and importance of service operation in hotel experiences. Study 2 revealed support for the importance of anthropomorphism and perceived security in NAO, as reflected in Galvanic Skin Response (GSR) peaks during sequences of interactions and fixation on NAO?s face. Support for perceived intelligence in Relay was also identified. Implications for the hospitality industry are provided.
The wealth of electronically generated communication combined with increased computing power and sophisticated algorithms provides the opportunity for destination managers to listen to travellers. Identification of sentiment with a domain-oriented lexicon is beneficial for natural language processing to analyse public opinion. Indeed, in the context of travel, sentiment analysis enables tourism decision makers to devise marketing and development strategies that address the information learned. This study presents a lexical dictionary approach for sentiment extraction and opinion mining of travel related messages posted using the Twitter microblogging service. In this study, we propose a human coded sentiment dictionary specific to the travel context. Terms were identified from a pool of more than 1.38 million travel related tweets collected over a nine-month period. Human coders assigned sentiment scores to these terms and the travelMT 1.0 dictionary was produced to enhance the existing labMT 1.0 dictionary. The quality of the travelMT 1.0 dictionary was tested against the original labMT 1.0 dictionary and human judges. We found that, with a larger number of travel terms in a tweet, the enhanced dictionary, travelMT 1.0, produces a more accurate sentiment score than the labMT 1.0 dictionary.
This research proposes a framework of intergenerational learning (IGL) that supports child-to-parent influence in the context of heritage learning using augmented reality (AR) and serious game applications. Positioning children as the behavioural catalysts in the learning process, the framework is developed based on several considerations and requirements. First, the technologies are designed to play a role in attracting and engaging children in learning and providing an intergenerational participation structure to allow children to influence parents? attitudes and behaviour. Second, using the mechanics, dynamics, and aesthetics framework of game design, the game elements are designed to provide realistic context for experiential learning, informative guiding and player interactions to increase engagement, as well as clear and measurable success indicators to increase motivation. The outcome of this framework is attitude and behaviour change in children and parents with regards to heritage preservation and appreciation, which is one of the main goals of heritage tourism managers.
Analyzes the use of information and communication technologies within the travel and tourism sectors
Explores the development of digital strategies, including digital marketing, and the impact of big data
Presents both the latest research findings and informative case studies.
This book presents the latest research into the application of information and communication technologies within the travel and tourism sectors. Readers will find insightful contributions on a wide range of topics, including digital marketing, social media and online travel reviews, mobile computing, augmented and virtual reality, gamification, recommender systems, electronic distribution, online education and learning, and the sharing economy. Particular attention is devoted to the actual and potential impact of big data, and the development and implementation of digital strategies, including digital marketing and the digital economy. In addition to the description of research advances and innovative concepts, a number of informative case studies are presented. The contents of the book are based on the 2018 ENTER eTourism conference, held in Jönköping, Sweden. The volume will appeal to all academics and practitioners with an interest in the most recent developments in eTourism.
Research on pricing is one of many topics for which research quality and insights improve substantially if one combines primary with secondary data. In this research, the combination of different data sources allows for comparisons with traditionally set prices and customer profiles. Besides possibilities and challenges of combining data sources, this case study presents challenges of primary data collection especially focusing on questionnaire design. Furthermore, we will share experiences of engaging with an industry partner throughout the introduced project on an innovative pricing approach called ?Pay What You Want? which may not only affect the timing but potentially the research design and the entire outcome. One advantage of working with an industry partner is to get access to a customer database who actually has experience and/or understands the service examined which is a critical prerequisite for collecting reliable prices and pricing information. Only data provided by knowledgeable customers are valid information sources and can be trusted as a basis to reveal customer segments subject to price discrimination and for recommendations with regard to setting prices. Dividing customers into groups, so called segments, and setting the price for each segment accordingly is essential. It avoids suggesting one overall price which is a blur and ends up not to meet the needs of any segment. Segment-based pricing leads to a win-win situation for customers and the seller, as less customers get excluded from consuming the services (more customers will be able to afford the target price set) and the seller will be able to sell more.