Faculty Publications

  • 2018
  • "Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria"
    2018 in: Tourism Economics.

    Using data for the period 2010M06–2017M02, this study investigates the possibility of predicting total tourist arrivals to four Austrian cities (Graz, Innsbruck, Salzburg, and Vienna) from LIKES of posts on the Facebook pages of the destination management organizations of these cities. Google Trends data are also incorporated in investigating whether forecast models with LIKES and/or with Google Trends deliver more accurate forecasts. To capture the dynamics in the data, the autoregressive distributed lag (ADL) model class is employed. Taking into account the daily frequency of the original LIKES data, the mixed data sampling (MIDAS) model class is employed as well. While time-series benchmarks from the naive, error–trend–seasonal, and autoregressive moving average model classes perform best for Graz and Innsbruck across forecast horizons and forecast accuracy measures, ADL models incorporating only LIKES or both LIKES and Google Trends generally outperform their competitors for Salzburg. For Vienna, the MIDAS model including both LIKES and Google Trends produces the smallest forecast accuracy measure values for most forecast horizons.

    Author(s): Ulrich Gunter, Irem Önder, Stefan Gindl

    Publication date: 16. 8. 2018

    Electronic version(s), related files and links: http://dx.doi.org/10.1177/1354816618793765

  • "Basic emotions contained in life satisfaction interviews."

    Author(s): Christian Weismayer, Ivo Ponocny

    Publication date: 14. 6. 2018

  • "Residents’ Involvement In Tourism Urban City Planing; Opportunities From The Smart City Paradigm"
    2018 in: Sustainability. Volume: 10.

    Author(s): Lidija Lalicic, Irem Önder

    Publication date: 1. 6. 2018

    Volume: 10

    Electronic version(s), related files and links: http://dx.doi.org/doi:10.3390/su10061852

  • "Modeling Airbnb Demand to New York City Employing Panel Data at the Listing Level"

    Author(s): Irem Önder, Bozana Zekan

    Publication date: 6. 2018

  • Ilona Pezenka, Christian Weismayer
    "A text-mining based detection of Kano’s factors in online reviews."

    Author(s): Ilona Pezenka, Christian Weismayer

    Publication date: 29. 5. 2018

  • "An Efficiency Assessment of DMOs’ Facebook Pages: A Benchmarking Study"

    Author(s): Bozana Zekan, Irem Önder

    Publication date: 4. 2018

  • "Confusion in internet retailing: causes and consequences"
    2018 in: Internet Research. Volume: 28. Issue number: 2 Pages: 477-499

    The purpose of this paper is to introduce the new construct online shopper confusion and to identify online confusion causes and consequences. Design/methodology/approach Data obtained from a projective technique and a quantitative study were analyzed to identify online shopper confusion causes. Two experiments employing different stimulus materials tested the conceptualized consequences of online shopper confusion. Findings Confusing online store elements are classified into three online confusion causes. Data yielded from two experiments using fictitious and real shopping scenarios as stimulus material show that a confusing internet retail process leads to negative consumer reactions. Research limitations/implications The resulting taxonomy of confusing online store elements offers guidance on the creation of non-confusing online shopping trips, and highlights the relevance of a non-confusing internet retail process. Online shopper confusion is linked to negative behavioral reactions. Consequently, this research offers an explanation for undesirable consumer reactions in internet retailing. Practical implications The findings provide practitioners with concrete insights into how the internet retail process confuses shoppers which help to assess the confusion potential of their existing online stores and consider confusion issues in the development of new online stores. Originality/value This research is the first to explore confusion during the internet retail process. The multi-method approach offers highly valid insights into the causes and consequences of online shopper confusion.

    Author(s): Marion Garaus

    Publication date: 13. 2. 2018

    Volume: 28

    Issue number: 2

    Pages: 477-499

    Electronic version(s), related files and links: http://dx.doi.org/10.1108/IntR-11-2016-0356

  • Ulrich Gunter, Graziano M. Ceddia, David Leonard, Bernhard Tröster
    "Contribution of international ecotourism to comprehensive economic development and convergence in the Central American and Caribbean region"
    2018 in: Applied Economics. Pages: 1-16

    Drawing on the positive experience from Costa Rica, the study examines whether international ecotourism makes a significant contribution to comprehensive economic development for the Central American and Caribbean region and contributes to comprehensive economic convergence. Following a standard empirical growth model, a dynamic panel regression model is estimated using time-series data from 1995 until 2012 for a cross section of seven countries. The interaction of international tourism and various established sustainability indicators is employed allowing ecotourism to be consistently quantified across countries, while numerous country-specific structural characteristics are controlled for. The estimation results show that international ecotourism has a statistically significant positive effect on both traditional economic development (real GDP per capita) and comprehensive economic development (adjusted net savings; ANS per capita), which is a measure of a society’s potential future well-being, thus providing evidence in support of the tourism-led growth hypothesis and pointing towards an important role for ecotourism in driving comprehensive economic convergence.

    Author(s): Ulrich Gunter, Graziano M. Ceddia, David Leonard, Bernhard Tröster

    Publication date: 23. 1. 2018

    Pages: 1-16

    Electronic version(s), related files and links: http://dx.doi.org/10.1080/00036846.2018.1430339

  • "Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry"
    2018 in: Tourism Economics. Volume: 24. Pages: 270-293

    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: 2018

    Volume: 24

    Pages: 270-293

    Electronic version(s), related files and links: http://dx.doi.org/10.1177/1354816617731196

  • "A Model of Tourists' Loyalty: The Case of Airbnb"
    2018 in: Journal of Hospitality and Tourism Technology.

    Author(s): Lidija Lalicic, Christian Weismayer

    Publication date: 2018

  • "Open Innovation Platforms in Tourism: How Do Stakeholders Engage and Reach Consensus?"
    2018 in: International Journal of Contemporary Hospitality Management. Volume: 39. Issue number: 6

    Author(s): Lidija Lalicic

    Publication date: 2018

    Volume: 39

    Issue number: 6

  • Christian Weismayer, Ilona Pezenka
    "Aspect-based sentiment detection: Comparing human versus automated classifications of Tripadvisor reviews"
    2018 Pages: 365

    Author(s): Christian Weismayer, Ilona Pezenka

    Publication date: 2018

    Place of Publication Volume: Cham, Switzerland

    Publisher: Springer Verlag

    Pages: 365

    Host publication editor(s): B. Stangl, J. Pesonen

  • "Optimal levels of (de)centralization for resilient supply chains"
    2018 in: International Journal of Logistics Management. Volume: 29. Issue number: 1 Pages: 435-455

    Purpose – The purpose of this paper is to illustrate how centralization and decentralization of supply chains (SCs) play a major role in creating organizational resilience.
    Design/methodology/approach – Starting with the basic tenets of contingency theory and applying a grounded theory approach, results from exploratory qualitative and quantitative studies are combined to investigate the impact of (de)centralization on SC resilience capabilities.
    Findings – The findings from a comprehensive literature review combined with two empirical surveys indicate that four important organizational capabilities are needed in order to cope with internal and external disruptions: fast reactions to unforeseen disturbances, reducing the number of negative external forces,
    reducing the impact of negative external forces and the quick return to normal operating processes. Furthermore, it is illustrated how (de)centralization activities can support these capabilities and thus maximize the SC resilience.
    Originality/value – This paper presents 12 measures for (de)centralization and shows how they can support the four major capabilities of resilient companies. The results from qualitative and quantitative surveys allow for a holistic understanding of the organization and provide a basis for future SC resilience research.
    Keywords – Grounded theory, Survey, Europe, Centralization, Decentralization, Supply chain resilience, Empirical research, Contingency theory

    Author(s): Horst Treiblmaier

    Publication date: 2018

    Volume: 29

    Issue number: 1

    Pages: 435-455

  • Xavier Matteucci, Florian Aubke
    "Experience care: efficacy of service-learning in fostering perspective transformation in tourism education"
    2018 in: Journal of Teaching in Travel and Tourism. Volume: 18. Issue number: 1 Pages: 8-24

    This article presents the findings of a study, which explores the benefits of a service-learning (SL) approach from the perspective of students. The SL approach employed in this study combines theoretical discourse in human relations and personal development with active engagement in community projects. We collected 61 reflective essays from undergraduate students at an Austrian university about their impressions of the lecture and of the two community service projects they participated in. The thematic analysis of the textual data revealed that the SL approach adopted in our course largely benefitted the students. Challenge, positive emotions, affiliation, and learning are the four key dimensions which characterise the students’ experiences. Amongst the learning outcomes reported by the students, SL facilitated self-awareness, self-confidence, self-esteem, stress-resistance, enhanced communication, and problem-solving skills. Despite some challenges, SL proves to be a promising experiential pedagogical approach, which, we argue, is highly relevant to tourism management students.

    Author(s): Xavier Matteucci, Florian Aubke

    Publication date: 2018

    Volume: 18

    Issue number: 1

    Pages: 8-24

  • "DMOs’ Facebook Success Stories: A Retrospective View"
    2018 Pages: 172

    Author(s): Lidija Lalicic, Stefan Gindl

    Publication date: 2018

    Publisher: Springer Verlag

    Pages: 172

    Host publication editor(s): B. Stangl, J. Pesonen

  • Lidija Lalicic, Assumpció Huertas, Antonio Moreno, Stefan Gindl, Mohammed Jabreel
    "DMOs’ Brand Values Communication Strategies: a Comparision between Twitter and Facebook."
    2018 Pages: 159

    Author(s): Lidija Lalicic, Assumpció Huertas, Antonio Moreno, Stefan Gindl, Mohammed Jabreel

    Publication date: 2018

    Publisher: Springer Verlag

    Pages: 159

    Host publication editor(s): B. Stangl, J. Pesonen

  • Adrian Brasoveanu, Giuseppe Rizzo, Philip Kuntschik, Albert Weichselbraun, Lyndon Nixon
    "Framing Named Entity Linking Error Types"

    Author(s): Adrian Brasoveanu, Giuseppe Rizzo, Philip Kuntschik, Albert Weichselbraun, Lyndon Nixon

    Publication date: 2018

  • "Assessing the usefulness of online image annotation services for destination image measurement"

    Author(s): Lyndon Nixon

    Publication date: 2018

  • Karl Weinmayer, Stephan Gasser, Margarethe Rammerstorfer
    "DEA Portfolio Modeling: The Case of Socially Responsible Investing"

    In this paper, we expand the literature on multi-criteria portfolio modeling for
    social responsible investments using multi-directional eciency analysis (MEA). We
    apply a positive screening according to MEA eciency scores, but also exploit the
    information contained in the eciency score directly (eciency-weighting) in order
    to compute portfolio weights. The broad empirical analysis is based on public equity
    market data of social resonsible investments from the USA going back to 2005. We
    nd that portfolios constructed using multi-directional eciency analysis outperform
    the mean-variance portfolios. Furthermore we show that the explicit consideration of
    a social responsibility variable in the MEA has a positive eect on the nancial and
    social performance of all asset allocations strategies. These strategies are also strictly
    preferred to a naive portfolio strategy since they oer equal nancial performance,
    while surpassing it in terms of social performance. These results clearly show the
    benets of MEA portfolio modeling, not only for socially responsible investors, but
    also traditional investors.

    Author(s): Karl Weinmayer, Stephan Gasser, Margarethe Rammerstorfer

    Publication date: 2018

    Electronic version(s), related files and links: http://dx.doi.org/https://dx.doi.org/10.2139/ssrn.2826033

  • Karl Weinmayer, Stephan Gasser, Margarethe Rammerstorfer
    "Caveat Emptor: Does Bitcoin Improve Portfolio Diversification?"

    Bitcoin is an unregulated digital currency originally introduced in 2008 without
    legal tender status. Based on a decentralized peer-to-peer network to conrm transac-
    tions and generate a limited amount of new bitcoins, it functions without the backing
    of a central bank or any other monitoring authority. In recent years, Bitcoin has seen
    increasing media coverage and trading volume, as well as major capital gains and
    losses in a high volatility environment. Interestingly, an analysis of Bitcoin retur ns
    shows remarkably low correlations with traditional investment assets such as other
    currencies, stocks, bonds or commodities such as gold or oil. In this paper, we shed
    light on the impact an investment in Bitcoin can have on an already well-diversied
    investment portfolio. Due to the non-normal nature of Bitcoin returns, we do not
    propose the classic mean-variance approach, but adopt a Conditional Value-at-Risk
    framework, which is better suited to capture the risk involved with a Bitcoin invest-
    ment and ensures coherence of the risk measure compared to other alternatives. Our
    results indicate that Bitcoin should be included in optimal portfolios. Even though
    an investment in Bitcoin increases the CVaR of a portfolio, this additional risk is
    overcompensated by high returns leading to better return-risk ratios.

    Author(s): Karl Weinmayer, Stephan Gasser, Margarethe Rammerstorfer

    Publication date: 2018

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