"Book Review: Tourism, Public Transport and Sustainable Mobility, C.M. Hall, D.-T. Le-Klähhn, Y. Ram."2017 in: Tourism Management. Volume: 63. Pages: 366-367
Author(s): Ulrich Gunter
Publication date: 12. 2017
Electronic version(s), related files and links: http://dx.doi.org/ https://doi.org/10.1016/j.tourman.2017.07.010
"Assessing adaptive capacity through governance networks: The elaboration of the flood risk management plan in Austria"2017 in: Environmental Science & Policy. Volume: 77. Pages: 140 - 146
One of the consequences of climate change is the increase in the frequency and entity of extreme weather events, including floods. Any strategy dealing with the various impacts of climate change must focus not only on mitigation aspects, but also on improving on the level of adaptive capacity. Over the past decades there has been an increase in the frequency and intensity of floods in Europe, a fact which has prompted the European Union (EU) to put forward the Directive 60/2007 (the ‘Floods Directive’), requiring Member States to produce a comprehensive Flood Risk Management Plan (FRMP) by 2015. The purpose of this paper is to assess how the implementation of the ‘Floods Directive’ has contributed to the level of adaptive capacity in Austria, a EU member State hosting an important river basin. By relying on the existing literature, the paper first describes the governance system associated with flood risk management in Austria prior to the elaboration of the FRMP. Subsequently, based on collected primary data, the paper studies the governance structure associated with the elaboration of the FRMP in Austria by using descriptive social network analysis (SNA) and discusses the implications in terms of adaptive capacity of flood governance. The elaboration of the FRMP has had the merit of coordinating the pre-existing regional legislation into a coherent national framework, under the leadership of the Federal Ministry of Agriculture and Environment. A limited number of other public administration stakeholders act as brokers, but the overall governance structure appears centralized and exhibits low modularity. Such a structure, moreover, is exclusively composed of public administration actors with no de facto participation of other stakeholders (e.g., NGOs and private companies). The incorporation of a wider set of organizations in the earlier phases of the policy cycle is welcomed, in order to make the whole process less technocratic and effectively improve the overall level of adaptive capacity.
Author(s): Graziano M. Ceddia, Dimitris Christopoulos, Yeray Hernández-González, Elena Zepharovich
Publication date: 11. 2017
Pages: 140 - 146
Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.envsci.2017.08.014
"Text mining insights from Tripadvisor restaurant reviews."2017
Author(s): Christian Weismayer
Publication date: 19. 10. 2017
"When Design Goes Wrong? Diagnostic Tools for Detecting and Overcoming Failures in Service Experience"2017 Pages: 233-263
Service recovery is one of the most researched areas in the disciplines of business, marketing, tourism and information systems due to the inevitability of service failures. Despite its increasing attention from scholars and practitioners, the efficacy of relying on recovery strategies for managing customer service experience has long been a great concern. Given that service recovery can only partially compensate the detrimental impact of service failures, this chapter argues that operators should “proactively” detect and redress failures in the current service design as opposed to “reactively” defend service failures and manage service recovery. Following this notion, this chapter aims at introducing five diagnostic tools for deconstructing the structure of an experience and thereby detecting and overcoming failures in service experience. The five tools are service flowcharts, service blueprints, service maps, service failure proofing and the fishbone diagram. In addition to the introduction, this chapter includes the empirical demonstration of applying service maps for service failure detection. Harnessing consumer reviews on TripAdvisor.com of three luxury hotels in Vienna as the data source, the empirical demonstration exhibits the major areas of improvement in each corresponding property. Being one of the first attempts that integrate analysis of online reviews with diagnostic tools for service experience enhancement, this chapter does not only complement service design literature with a demonstration prototype but also provide operators in the service industry with useful tools and examples of how diagnostic tools can assist in detecting service failures and then advising solutions for service design advancement.
Author(s): Astrid Dickinger, Daniel Leung
Publication date: 5. 10. 2017
Host publication editor(s): D. Fesenmaier, Z. Xiang
"Possible insights from evaluated time use diary data."2017
Author(s): Christian Weismayer, Ivo Ponocny
Publication date: 28. 9. 2017
"Sentiment comparison between human coded (self-evaluation, external rater) and data-driven quality-of-life interview ratings."2017
Author(s): Christian Weismayer, Ivo Ponocny
Publication date: 28. 9. 2017
"Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry"2017 in: Tourism Economics.
This study identifies key determinants of Airbnb demand and quantifies their marginal contributions in terms of demand elasticities. A comprehensive cross-sectional data set of all Viennese Airbnb listings that were active between July 2015 and June 2016 is examined. Estimation results, which are obtained by cluster-robust ordinary least squares, show that Airbnb demand in Vienna is price-inelastic. Significant positive drivers include listing size, number of photos, and responsiveness of the host. Significant negative drivers include listing price, distance from the city center, and response time of the host. Implications for the traditional accommodation industry are that, on the one hand, it should better communicate its sought-after advantages (e.g. lower average minimum duration of stay). On the other hand, it should increase its offer of bigger and better equipped hotel rooms since hosting more than two guests at a time is one of the major benefits of Airbnb.
Author(s): Ulrich Gunter, Irem Önder
Publication date: 18. 9. 2017
Electronic version(s), related files and links: http://dx.doi.org/10.1177/1354816617731196
"Reputational leadership and preference similarity: Explaining organisational collaboration in bank policy networks"2017 in: European Journal of Political Research.
This article contributes to our understanding of the formation of policy networks. Research suggests that organisations collaborate with those that are perceived to be influential in order to access scarce political resources. Other studies show that organisations prefer to interact with those that share core policy beliefs on the basis of trust. This article seeks to develop new analytical tools for testing these alternative hypotheses. First, it measures whether perceptions of reputational leadership affect the likelihood of an organisation being the target or instigator of collaboration with others. Second, it tests whether the degree of preference similarity between two organisations makes them more or less likely to collaborate. The article adopts a mixed-methods approach, combining exponential random graph models (ERGM) with qualitative interviews, to analyse and explain organisational collaboration around United Kingdom banking reform. It is found that reputational leadership and preference similarity exert a strong, positive and complementary effect on network formation. In particular, leadership is significant whether this is measured as an organisational attribute or as an individually held perception. Evidence is also found of closed or clique-like network structures, and heterophily effects based on organisational type. These results offer significant new insights into the formation of policy networks in the banking sector and the drivers of collaboration between financial organisations.
Author(s): Scott James, Dimitris Christopoulos
Publication date: 6. 9. 2017
Electronic version(s), related files and links: http://dx.doi.org/10.1111/1475-6765.12237
"Tourism Forecasting Performance Considering the Instability of Demand Elasticities"2017 in: Journal of Travel Research. Volume: 56. Issue number: 7 Pages: 913-926
This study highlights that accounting for the fact that tourism elasticities do not remain stable is crucial for forecasting situations. We demonstrate that approaches with constant elasticity assumptions might lead to substantial forecasting failures, especially in periods characterized by major economic fluctuations and changes in the macroeconomic environment. Therefore, in the course of distinct business cycles, we have to take into account that different price and income effects are to be expected. The main reasons why income elasticity may vary across the business cycle include loss aversion, liquidity constraints, and precautionary savings. By analyzing smooth transition autoregressive models and time-varying parameter approaches, we demonstrate that elasticities may vary as a result of structural changes in consumer behavior and/or policy regime shifts. Income elasticities may also change in the medium term in line with the worsening of the macroeconomic environment and indicate that tourism is no longer a luxury good.
Author(s): Egon Smeral
Publication date: 1. 9. 2017
Issue number: 7
Electronic version(s), related files and links: http://dx.doi.org/10.1177/0047287516671435
"Forecasting tourism demand with Google trends: Accuracy comparison of countries versus cities."2017 in: International Journal of Tourism Research.
Previously, Google Trends indices have been found to be useful in improving the tourism demand forecast accuracy relative to a purely autoregressive baseline model. The purpose of this study is to extend previous research in terms of comparing the forecasting accuracy of cities and countries using Google Trends Web and image indices. The study compares forecasting models with Web and/or image search indices regarding 2 cities (Vienna and Barcelona) and 2 countries (Austria and Belgium). Overall, the forecast accuracy of Vienna with the Web and/or image indices was the best among the 4 destinations, followed by Belgium, Barcelona, and Austria.
Author(s): Irem Önder
Publication date: 1. 8. 2017
Electronic version(s), related files and links: http://dx.doi.org/10.1002/jtr.2137
"Tourist-Driven Innovations In Social Media: an Opportunity For Tourism Organizations"2017 Pages: 41-53
Author(s): Astrid Dickinger, Lidija Lalicic
Publication date: 1. 8. 2017
Host publication editor(s): M. Sigala, U. Gretzel
"TCNSVD: A Temporal and Community-Aware Recommender Approach"2017
Author(s): Mohsen Shahriari, Martin Barth, Ralf Klamma, Christoph Trattner
Publication date: 8. 2017
"Does repetition help? Impact of destination promotion videos on perceived destination image and intention-to-visit change"2017 in: Journal of Travel & Tourism Marketing.
As a dearth of research on the examination of projected image in destination promotion videos (DPVs) is recognized and the question of how DPVs influence viewers’ destination image change is unresolved, this study (1) examines the projected image of Macau based on the video content analysis of their latest DPV (entitled “Experience Macao Your Own Style”); and (2) investigates the impact of viewing a DPV on viewers’ perceived destination image and intention-to-visit change. The efficacy of repetition in influencing change in DPV viewers’ image of the destination is highlighted. Findings from the experiment also indicate that the content of DPVs and repeating certain shots are effective in positively enhancing travelers’ perceived destination image as well as triggering potential travelers’ interest in further researching and visiting the destination.
Author(s): Daniel Leung, Astrid Dickinger
Publication date: 30. 6. 2017
Electronic version(s), related files and links: http://dx.doi.org/10.1080/10548408.2017.1341361
"How Do Macroeconomic and Bank-specific Variables Influence Profitability in the Austrian Banking Sector? Evidence from a Panel Vector Autoregression Analysis"2017 in: Economic Notes.
We examine the determinants of the net interest margin (NIM) and the net fee and commission income ratio (NFCIR) of Austrian banks as well as their interrelationship and whether portfolio separation between loan and deposit categories holds. We describe a conceptual framework for the profit optimization problem faced by banks as a Bertrand game with differentiated products and intrafirm product interactions. We contribute to the literature by factoring in banks’ business models in terms of their balance sheet structure. We empirically assess the implications of our conceptual framework using a unique supervisory data set of around 48,000 observations between 1998 and 2014. We estimate two panel vector autoregression models with a novel panel vector autoregression code. Apart from quantifying the contributions of the determinants (e.g., risk weighted assets, leverage ratio, loan loss provision ratio) to NIM and NFCIR, the empirical results show that interest income and fee and commission income should be regarded as strategic complements within a bank. We further conclude that portfolio separation between different loan and deposit categories does not hold.
Author(s): Michael Sigmund, Ulrich Gunter, Gerald Krenn
Publication date: 21. 6. 2017
Electronic version(s), related files and links: http://dx.doi.org/10.1111/ecno.12088
"Using Multistage Competing Risks Approaches to Model Web Page Transitions"2017 in: Internet Research. Volume: 27. Issue number: 3 Pages: 650-669
Purpose – The purpose of this paper is to present competing risks models and show how dwell
times can be applied to predict users’ online behavior. This information enables real-time personalization of
Design/methodology/approach – This paper models transitions between pages based upon the dwell time
of the initial state and then analyzes data from a web shop, illustrating how pages that are linked “compete”
against each other. Relative risks for web page transitions are estimated based on the dwell time within a
clickstream and survival analysis is used to predict clickstreams.
Findings – Using survival analysis and user dwell times allows for a detailed examination of transition behavior
over time for different subgroups of internet users. Differences between buyers and non-buyers are shown.
Research limitations/implications – As opposed to other academic fields, survival analysis has only
infrequently been used in internet-related research. This paper illustrates how a novel application of this
method yields interesting insights into internet users’ online behavior.
Practical implications – A key goal of any online retailer is to increase their customer conversation rates.
Using survival analysis, this paper shows how dwell-time information, which can be easily extracted from
any server log file, can be used to predict user behavior in real time. Companies can apply this information to
design websites that dynamically adjust to assumed user behavior.
Originality/value – The method shows novel clickstream analysis not previously demonstrated.
Importantly, this can support the move from web analytics and “big data” from hype to reality.
Keywords E-commerce, Survival analysis, Online retailing, Clickstream analysis, Competing risks models,
Author(s): Patrick Mair, Horst Treiblmaier, Paul Benjamin Lowry
Publication date: 1. 6. 2017
Issue number: 3
Electronic version(s), related files and links: http://dx.doi.org/10.1108/IntR-06-2016-0167
"Barriers to the Generation of University Spin-offs: A case study of Vienna"2017 New Horizons in Regional Science series Pages: 411-442
Author(s): Harvey Goldstein, Verena Radinger-Peer, Sabine Sedlacek
Publication date: 6. 2017
Series information: New Horizons in Regional Science series
Publisher: Edward Elgar Publishing Ltd
Host publication editor(s): C. Karlsson, M. Andersson, L. Bjerke
"Benchmarking of Airbnb Providers: How Competitive Are European Cities?"2017
Author(s): Bozana Zekan, Irem Önder
Publication date: 6. 2017
"Elaborating on grounded theory in tourism research"2017 in: Annals of Tourism Research. Volume: 65. Pages: 49 - 59
Abstract Grounded theory method has been gaining momentum within qualitative tourism research. However, different versions of grounded theory exist, and tourism researchers rarely address this variety in their work. This article addresses this issue and engages with grounded theory’s core tenets, its epistemological and ontological underpinnings, and its contribution to theory building. We present an overview of grounded theory studies in tourism. In light of the trends in qualitative research towards a blurring of genres and creativity, we also suggest that Gilles Deleuze’s philosophy may take grounded theory researchers to new research territories. In our view, the constructivist orientation to grounded theory, impregnated with Deleuzian thinking, is seen as a methodological tool most capable of facilitating positive change.
Author(s): Xavier Matteucci, Juergen Gnoth
Publication date: 17. 5. 2017
Pages: 49 - 59
Electronic version(s), related files and links: http://dx.doi.org/https://doi.org/10.1016/j.annals.2017.05.003
"Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media Streams"2017 in: IEEE Intelligent Systems. Volume: 32. Issue number: 3 Pages: 80-88
Extracting and analyzing affective knowledge from social media in a structured manner is a challenging task. Decision makers require insights into the public perception of a company's products and services, as a strategic feedback channel to guide communication campaigns, and as an early warning system to quickly react in the case of unforeseen events. The approach presented in this paper goes beyond bipolar metrics of sentiment. It combines factual and affective knowledge extracted from rich public knowledge bases to analyze emotions expressed towards specific entities (targets) in social media. We obtain common and common-sense domain knowledge from DBpedia and ConceptNet to identify potential sentiment targets. We employ affective knowledge about emotional categories available from SenticNet to assess how those targets and their aspects (e.g. specific product features) are perceived in social media. An evaluation shows the usefulness and correctness of the extracted domain knowledge, which is used in a proof-of-concept data analytics application to investigate the perception of car brands on social media in the period between September and November 2015.
Author(s): Albert Weichselbraun, Stefan Gindl, Fabian Fischer, Svitlana Vakulenko, Arno Scharl
Publication date: 5. 2017
Issue number: 3
Electronic version(s), related files and links: http://dx.doi.org/10.1109/MIS.2017.57
"European outbound tourism in times of economic stagnation"2017 in: International Journal of Tourism Research. Volume: 19. Issue number: 3 Pages: 269–277
Accounting for the instability of tourism income elasticities in the European Union-15 since 2004, estimations show that income elasticities in the period 2004–2014 were greater in slow-growth periods (above 1) than in fast-growth periods (below 1). Due to the gradual deterioration of the economic environment since 2004, the small income improvements in the fast-growth periods were used relatively more for satisfying pent-up demand for necessary consumer goods or precautionary savings than for traveling abroad. The relatively high income elasticities in the slow-growth periods resulted from negative adjustments due to the effects of the economic downturn.
Author(s): Ulrich Gunter, Egon Smeral
Publication date: 5. 2017
Issue number: 3
Electronic version(s), related files and links: http://dx.doi.org/10.1002/jtr.2108
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