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Suche nach „[V.] [Dorner]“ hat 14 Publikationen gefunden
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    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, J. Schnurbus, H. Haupt, V. Dorner, A. Landherr, F. Probst

    Dynamic effects of user- and marketer-generated content on consumer purchase behavior: Modeling the hierarchical structure of social media websites

    Decision Support Systems, vol. 113, no. September, pp. 43-55

    2018

    DOI: 10.1016/j.dss.2018.07.001

    Abstract anzeigen

    User- and marketer-generated content items on social media platforms are supposed to have an impact on economic target variables, such as variables measuring consumers' purchase behavior. The position of each content item – and thus the impact on economic variables – changes with newly appearing items. We propose a hierarchy score to capture the dynamics of the content items on social media platforms. In order to mimic the reduced visibility of earlier content items, our hierarchy score computes the position of content items based on the number of text line equivalents of content items above a particular item. Employing the proposed hierarchy score in a dynamic regression framework for data of a large online store yields improved estimates and predictions compared to a variety of other models.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, V. Dorner, G. Schryen, A. Benlian

    A configuration-based recommender system for supporting e-commerce decisions

    European Journal of Operational Research, vol. 259, no. 1, pp. 205-215

    2017

    DOI: 10.1016/j.ejor.2016.09.057

    Abstract anzeigen

    Multi-attribute value theory (MAVT)-based recommender systems have been proposed for dealing with issues of existing recommender systems, such as the cold-start problem and changing preferences. However, as we argue in this paper, existing MAVT-based methods for measuring attribute importance weights do not fit the shopping tasks for which recommender systems are typically used. These methods assume well-trained decision makers who are willing to invest time and cognitive effort, and who are familiar with the attributes describing the available alternatives and the ranges of these attribute levels. Yet, recommender systems are most often used by consumers who are usually not familiar with the available attributes and ranges and who wish to save time and effort. Against this background, we develop a new method, based on a product configuration process, which is tailored to the characteristics of these particular decision makers. We empirically compare our method to SWING, ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory experiment with 153 participants. Results indicate that our proposed method performs better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms of cognitive load, and that participants were faster with our method than with any other method. We conclude that our method is a promising option to help support consumers’ decision processes in e-commerce shopping tasks.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, V. Dorner, M. Franz, O. Hinz

    Measuring consumers' willingness to pay with utility-based recommendation systems

    Decision Support Systems, vol. 72, no. April

    2015

    DOI: 10.1016/j.dss.2015.02.006

    Abstract anzeigen

    Our paper addresses two gaps in research on recommendation systems: first, leveraging them to predict consumers' willingness to pay; second, estimating non-linear utility functions – which are generally held to provide better approximations of consumers' preference structures than linear functions – at a reasonable level of cognitive consumer effort. We develop an approach to simultaneously estimate exponential utility functions and willingness to pay at a low level of cognitive consumer effort. The empirical evaluation of our new recommendation system's utility and willingness to pay estimates with the estimates of a system based on linear utility functions indicates that exponential utility functions are better suited for predicting optimal recommendation ranks for products. Linear utility functions perform better in estimating consumers' willingness to pay. Based on our experimental data set, we show how retailers can use these willingness to pay estimates for profit-maximizing pricing decisions.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Michael Scholz, F. Lehner, V. Dorner

    A Respecification of the DeLone and McLean Model to Measure the Success of an Electronic Mediated Learning System.

    MKWI 2014 - Multikonferenz Wirtschaftsinformatik

    2014

    ISBN: 978-3-00-045311-3

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Michael Scholz, V. Dorner, A. Landherr, F. Probst

    Awareness, Interest, and Purchase: the Effects of User- and Marketer-Generated Content on Purchase Decision Processes

    Proceedings of the 34th International Conference on Information Systems

    2013

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, V. Dorner

    The Recipe for the Perfect Review?

    Business & Information Systems Engineering, vol. 5, no. 3, pp. 141-151

    2013

    DOI: 10.1007/s12599-013-0259-3

    Abstract anzeigen

    Online product reviews, originally intended to reduce consumers’ pre-purchase search and evaluation costs, have become so numerous that they are now themselves a source for information overload. To help consumers find high-quality reviews faster, review rankings based on consumers’ evaluations of their helpfulness were introduced. But many reviews are never evaluated and never ranked. Moreover, current helpfulness-based systems provide little or no advice to reviewers on how to write more helpful reviews. Average review quality and consumer search costs could be much improved if these issues were solved. This requires identifying the determinants of review helpfulness, which we carry out based on an adaption of Wang and Strong’s well-known data quality framework. Our empirical analysis shows that review helpfulness is influenced not only by single-review features but also by contextual factors expressing review value relative to all available reviews. Reviews for experiential goods differ systematically from reviews for utilitarian goods. Our findings, based on 27,104 reviews from Amazon.com across six product categories, form the basis for estimating preliminary helpfulness scores for unrated reviews and for developing interactive, personalized review writing support tools. We analyze determinants of review helpfulness in online retailing based on Wang and Strong’s (1996) data quality framework. Helpful reviews consist of 9 % of adjectives, display high product feature entropy, and present opinions that differ from previous reviews for the product in question. Other helpfulness determinants depend on whether experiential or utilitarian products are reviewed. Our research points e-shop providers towards two major improvements in their review systems.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    O. Ivanova, Michael Scholz, V. Dorner

    Does Amazon Scare Off Customers? The Effect of Negative Spotlight Reviews on Purchase Intention.

    Proceedings of the 11th International Conference on Wirtschaftsinformatik, Leipzig

    2013

    ISBN: 978-3-00-041360-5

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    V. Dorner, Michael Scholz

    Predicting and Economically Exploiting Utility Thresholds with Utility-based Recommendation Systems

    Proceedings of the 21st European Conference on Information Systems, Utrecht

    2013

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    V. Dorner, O. Ivanova, Michael Scholz

    Think Twice Before You Buy! How Recommendations Affect Three-Stage Purchase Decision Processes

    Proceedings of the 34th International Conference on Information Systems

    2013

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Michael Scholz, V. Dorner

    Estimating Optimal Recommendation Set Sizes for Individual Consumers

    Proceedings of the 33rd International Conference on Information Systems (ICIS 2012)

    2012

    TC Freyung

    Wolfgang Dorner, Roland Zink, J. Pauli, F. Diepold, C. Fehlner, Anna Marquardt, Raphaela Pagany, R. Rettinger, V. Sigel

    Energiestrategie Zellertal

    Entwicklung einer gemeinsamen Energiestrategie zur Steigerung der Energieeffizienz, zum Energiesparen und zur Planung sowie Nutzung erneuerbarer Energien

    2012

    TC Freyung

    Zeitschriftenartikel

    V. Meyer, C. Kuhlicke, J. Luther, S. Fuchs, S. Priest, Wolfgang Dorner, K. Serrhini, J. Pardoe, S. McCarthy, J. Seidel, S. Scheuer, G. Palka

    Recommendations for user-specific enhancement of flood maps

    Natural Hazards and Earth System Sciences, vol. 12, no. 5, pp. 1701-1716

    2012

    Abstract anzeigen

    The European Union Floods Directive requires the establishment of flood maps for high risk areas in all European member states by 2013. However, the current practice of flood mapping in Europe still shows some deficits. Firstly, flood maps are frequently seen as an information tool rather than a communication tool. This means that, for example, local stocks of knowledge are not incorporated. Secondly, the contents of flood maps often do not match the requirements of the end-users. Finally, flood maps are often designed and visualised in a way that cannot be easily understood by residents at risk and/or that is not suitable for the respective needs of public authorities in risk and event management. The RISK MAP project examined how end-user participation in the mapping process may be used to overcome these barriers and enhance the communicative power of flood maps, fundamentally increasing their effectiveness. Based on empirical findings from a participatory approach that incorporated interviews, workshops and eye-tracking tests, conducted in five European case studies, this paper outlines recommendations for user-specific enhancements of flood maps. More specific, recommendations are given with regard to (1) appropriate stakeholder participation processes, which allow incorporating local knowledge and preferences, (2) the improvement of the contents of flood maps by considering user-specific needs and (3) the improvement of the visualisation of risk maps in order to produce user-friendly and understandable risk maps for the user groups concerned. Furthermore, "idealised" maps for different user groups are presented: for strategic planning, emergency management and the public.

    TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    J. Luther, V. Meyer, C. Kuhlicke, S. Scheuer, H. Unnerstall, S. Fuchs, Wolfgang Dorner, J. Seidel, S. Priest, S. McCarthy, et al.

    Improving flood maps to foster participation and raise flood risk

    Chapter 206

    Comprehensive flood risk management, Boca Raton

    2012

    ISBN: 978-0-415-62144-1

    Elektrotechnik und Medientechnik

    Zeitschriftenartikel

    B. Turan, V. Nikolic, Wolfgang Dorner, B. Furdikova, I. Stupakova

    Science City

    Academia Danubiana, no. 1, pp. 61-64

    2005

    Abstract anzeigen

    Lower Bavaria is part of the free state Bavaria an located at the border of Germany to Austria. Lower Bavaria has an area of 10330 km² and 1,2 Mio. inhabitants. The land use in Lower Bavaria is marked by agriculture with a part of 52%. The high importance of the agricultural use in Lower Bavaria leads to some very serious problems concerning mostly soil and water. For example, problems concerning soil are erosion and contamination by agricultural sprays, which results in risk for the near streams and rivers in addition to the risk for the ground water. On the one hand this means decreasing productivity for agricultur e because of the removal of the uppermost fertility soil layer, and on the other hand the consequences concerning water quality.