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Suche nach „[M.] [Franz]“ hat 6 Publikationen gefunden
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    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Zeitschriftenartikel

    Michael Scholz, M. Franz, O. Hinz

    Effects of decision space information on MAUT-based systems that support purchase decision processes

    Decision Support Systems, vol. 97, no. May, pp. 43-57

    2017

    DOI: 10.1016/j.dss.2017.03.004

    Abstract anzeigen

    This paper shows that decision makers often have a misconception of the decision space. The decision space is constituted by the relations among the attributes describing the alternatives available in a decision situation. The paper demonstrates that these misconceptions negatively affect the usage and perceptions of MAUT-based decision support systems. To overcome these negative effects, this paper proposes to use a visualization method based on singular value decomposition to give decision makers insights into the attribute relations. In a laboratory experiment in cooperation with Germany's largest Internet real estate website, this paper moreover evaluates the proposed solution and shows that our solution improves decision makers' usage and perceptions of MAUT-based decision support systems. We further show that information about the decision space ultimately affects variables relevant for the economic success of decision support system providers such as reuse intention and the probability to act as a promoter for the systems.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Zeitschriftenartikel

    Michael Scholz, M. Franz, O. Hinz

    The Ambiguous Identifier Clustering Technique

    Electron Markets, vol. 26, no. 2, pp. 143-156

    2016

    DOI: 10.1007/s12525-016-0217-2

    Abstract anzeigen

    Investigations of online transaction data often face the problem that entries for identical products cannot be identified as such. There is, for example, typically no unique product identifier in online auctions; retailers make their offers at price comparison sites hardly comparable and online stores often use different identifiers for virtually equal products. Existing studies typically use data sets that are restricted to one or only a few products in order to avoid product heterogeneity if a unique product identifier is not available. We propose the Ambiguous Identifier Clustering Technique (AICT) that identifies online transaction data that refer to virtually the same product. Based on a data set of eBay auctions, we demonstrate that AICT clusters online transactions for identical products with high accuracy. We further show how researchers benefit from AICT and the reduced product heterogeneity when analyzing data with econometric models.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC 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.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    M. Franz, Michael Scholz, O. Hinz

    2D versus 3D Visualizations in Decision Support - The Impact of Decision Makers' Perceptions

    Proceedings of the 36th International Conference on Information Systems (ICIS 2015)

    2015

    F: Maschinenbau und MechatronikI: Fraunhofer AWZ CTMT

    Vortrag

    S. Reisinger, S. Kasperl, M. Franz, Jochen Hiller, U. Schmid

    Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography

    International Symposium on Digital Industrial Radiology and Computed Tomography, Berlin

    2011

    F: Maschinenbau und MechatronikI: Fraunhofer AWZ CTMT

    Beitrag (Sammelband oder Tagungsband)

    M. Franz, C. Funk, Jochen Hiller, S. Kasperl, M. Krumm, S. Schröpfer

    Reliability of Dimensional Measurements by Computed Tomography for Industrial Applications

    Proceedings of the 4th European-American Workshop on Reliability of NDT (Berlin)

    2009