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Rinke, Wolfram
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Official Name
Rinke, Wolfram
Alternative Name
Rinke, Wolfram C.
Main Affiliation
ÖGAI Österreichische Gesellschaft für Artificial Intelligence
AAWE American Association of Wine Economists
Akademische Titel
Dipl.-Ing.
Email
wolfram.rinke@fh-burgenland.at
ORCID
Scopus Author ID
57203619840
Status
staff
Research Outputs
Now showing 1 - 10 of 11
- PublicationIdentifying relationships between place and experience parameters and consumer evaluations in a wine tourism contextTourism experiences in viticultural areas tend to evoke strong positive and affective consumer reactions (Yuan et al., 2008). Ideally they lead to sentiments such as pleasure, satisfaction, nostalgia, or even emotional attachment (Gross & Brown, 2006; Hammitt, Backlund, & Bixler, 2006). Studies show that satisfaction is strongly related to attachment to a certain place (Williams & Huffman, 1986) and pleasure (Orth et al., 2011) and can lead to consumer loyalty (Dodd, 2000; Alexandris, Kouthouris & Meligdis, 2006) as well as greater spending (Moore & Graefe 1994; Dodd, 2000; Kyle, Absher & Graefe, 2003). In addition, research showed that visitors who are familiar with a region, i.e., they have visited the destination before, are more likely to develop strong attachment to that place over time (Williams, Patterson & Roggenbuck 1992). In order to analyse consumers and their wine-tourism related reactions of place and wine-tourism-experience evoked reactions and perceptions, the overarching research question of this study consequently is: Which relationships between place and experience parameters and consumer evaluations can be detected in a wine-tourism context?
469 2 - PublicationConsumer preferences for certified wines in France: A comparison of sustainable labels(Firenze University Press, 2021)
; 89 1Scopus© Citations 10 - PublicationUsing Data Mining to Determine Attachment Factors in Tourism: Gauging Affective Consumer Behaviour(2013-11)
; ; Tourism experiences inevitably evoke affective consumer reactions i.e. pleasure or displeasure. Their impacts on consumer satisfaction and emotional attachment to places in a tourism, leisure or recreational context are subsequently of crucial importance in tourism marketing. Earlier research on this topic shows that the stimulus of an affective tourism experience may extend far beyond short-term effects such as satisfaction. Therefore, long-term customer relationships i.e. attachment have to be investigated more closely, especially with respect to the interrelationships among influencing factors.112 1 - PublicationAn Algorithm to Transform an Artificial Neural Network into its Open Equation Form and its Potential ApplicationsDuring the last decades artificial neural networks have evolved to an accepted and proven technology for modelling and function approximation. Different kinds of network architectures exist to support certain domains and applications in an efficient way. This paper assumes the traditional multilayer feedforward artificial neural network (ANN) architecture with one input layer, one or more fully interconnected hidden layers and one output layer. Each layer consists of several classic perceptron nodes using a differentiable transfer function like the logistics function. Very often it is useful to have an ANN model in an open equation form available, that allows a deeper analysis of the model and to do more complex experiments and simulations. The following paper presents an algorithm that makes it possible to transform an ANN into its open form equivalent, called process model architecture network or PMA network. It has been used as an integral part in several industrial control projects. A PMA network can be used for system simulation, scenario analyses or inverse model based control. An example application is discussed.
158 1 - PublicationPricing Models for German Wine: Hedonic Regression vs. Machine LearningThis article examines whether there are different hedonic price models for different German wines by grape variety, and identifies influential factors that focus on weather variables and direct and indirect quality measures for wine prices. A log linear regression model is first applied only for Riesling, and then machine learning is used to find hedonic price models for Riesling, Silvaner, Pinot Blanc, and Pinot Noir. Machine learning exhibits slightly greater explanatory power, suggests adding additional variables, and allows for a more detailed interpretation of results. Gault&Millau points are shown to have a significant positive impact on German wine prices. The log linear approach suggests a huge effect of different quality categories on the wine prices for Riesling with the highest price premiums for Auslese and “Beerenauslese/Trockenbeerenauslese/Eiswein (Batbaice),” while the machine learning model shows, that additionally the alcohol level has a positive effect on wines in the quality categories “QbA,” “Kabinett,” and “Spätlese,” and a mostly negative one in the categories “Auslese” and “Batbaice.” Weather variables exert different affects per grape variety, but all grape varieties have problems coping with rising maximum temperatures in the winter and with rising minimum and maximum temperatures in the harvest season.
738 2Scopus© Citations 10 - PublicationHave consumers escaped from COVID-19 restrictions by seeking variety? A Machine Learning approach analyzing wine purchase behavior in the United States(2023)
; Ho, Shuay-tsyrThe COVID-19 pandemic itself constitutes an environment for people to experience the potential loss of control and freedom due to social distancing measures and other government orders. Variety-seeking has been treated as a mechanism to regain a sense of self-control. Using Machine Learning model and household-level data with a focus on the wine market in the United States, this study showcases the changing variety-seeking behavior over the pandemic year of 2020, in which people’s perception of the status of restriction measures influences the degree of their use of variety-seeking behavior as a coping strategy. It is the shopping pattern and store environments that drive the behavioral responses in wine purchases to freedom-limited circumstances. Coupon use is associated with a lower variety-seeking tendency at the beginning of the stay-at-home order, but the variety level resumes when more time has passed in the restriction periods. Variety-seeking tendency increases with shopping frequency at the beginning of the social distancing measure but decreases to a level lower than all the non-restriction periods.11 1 - PublicationJournalistischer Kompetenzbedarf in der Online-Marketingkommunikation – Eine ANN-Analyse zum Kompetenzbedarf am Beispiel von Studierenden in onlinefokussierten Kommunikation-Studiengängen(Fachkonferenz des Instituts für Journalismus & Medienmanagement und des Instituts für Kommunikation, Marketing & Sales der FHWien der WKW, 2015-03-20)
; ; In den Akkreditierungsanträgen von PR- oder Marketingkommunikation-Studiengängen mit Fokussierung auf Online-Medien tauchen Berufsbezeichnungen wie Content-ManagerIn, InformationsdesignerIn, InformationsbrokerIn, MediengestalterIn oder Online-RedakteurIn auf. Wenngleich die Curricula auf PR und Marketingkommunikation abzielen, bezeichnen diese Benennungen im Kern journalistische Tätigkeiten. Ähnliches gilt für die JournalistInnenausbildung. Auch hier steht die technikgetriebene Veränderung des Berufsbildes aufgrund der Online-Medien im Zentrum der Berufsfelddiskussion. Kaltenbrunner und Luef (2015: 12) weisen in einer aktuellen Studie darauf hin, dass viele VertreterInnen von Wissenschaft und Lehre in einer gemeinsamen Grundausbildung von OrganisationskommunikatorInnen und JournalistInnen keine Gefahr mehr für den Qualitätsjournalismus sehen. In den USA werden Journalismus-Institute mit anderen Instituten zusammengelegt, sodass Journalismus neben Werbung, PR, Mediendesign, Telekommunikation, Informatik und Kommunikationswissenschaft nur noch eine Sparte unter mehreren ist (Kaltenbrunner & Luef 2015: 23). In Österreich wird an der Fachhochschule Joanneum der Studiengang „Journalismus und Public Relations“ angeboten. Nach Eigenangaben des Anbieters ist dies der erste Studiengang an einer österreichischen Fachhochschule, der diese beiden Ausbildungsschienen miteinander verbindet. Beide Berufsfelder, Journalismus ebenso wie PR und Marketingkommunikation, zeichnen sich durch einen wenig geregelten Berufszugang aus. Die Akademisierung der Berufsfelder war vor einigen Jahrzehnten noch generell strittig. In den letzten Jahren ist das Bildungsniveau der in der Public Relations Tätigen allerdings stetig gestiegen. Die meisten verfügen heute über ein abgeschlossenes Hochschulstudium (vgl. Szyszka, Schütte & Urbahn 2009; Bentele, Großkurth & Seidenglanz 2012). Die Relevanz fachspezifischer Ausbildung wird allgemein noch gering geschätzt. Trotz eines mittlerweile ausdifferenzierten Studienangebots wird von den Arbeitgebern häufig nur „irgendein Studium“ (Röttger, Preusse & Schmitt 2007: 6) gewünscht. Vor dem Hintergrund des sehr offenen Berufszugangs, der noch immer offenen Frage nach dem notwendigen Kompetenzbedarf und der steigenden Bedeutung der Online-Kommunikation beschäftigt sich dieser Beitrag mit dem journalistischen Kompetenzbedarf in der onlinefokussierten PR- und Marketingkommunikation. Die Frage wurde mit Hilfe einer Online-Befragung unter berufsbegleitend Studierenden untersucht. Der Ausgangspunkt der Erhebung unter Studierenden von Online-Kommunikation scheint in diesem Zusammenhang besonders günstig. Durch die hohe Bedeutung der Online-Kommunikation in diesem Feld sind gerade sie es, die einen besonders innovativen Blick auf das Feld haben.206 1 - PublicationKnowledge Extraction and Advanced Analyses Through Inverse Modelling Using Artificial Neural NetworksUsing artificial neural networks (ANN) to model an observed process is state of the art in engineering and is receiving more and more attention in social or marketing research. As shown in previous publications static data analytics, like an ANN based dependency matrix (DM), creates a better understanding of the relationship between dependant and independent variables of the observed system. To gain a better understanding of the behaviour and dynamics of an observed system a further step has been taken. . This is accomplished by transforming the ANN-DM into its open form equivalent. This is represented by several ANN models, one for each observed model parameter. An algorithm, which was published by the author, can be used for this transformation. The final result makes it possible to study the dynamic relationships between all parameters, including simulation and conclusions on its inverted model behaviour. The author will show based on an example from tourism marketing, how this inverse modelling approach can be applied and what new knowledge can be extracted from the achieved simulation results. The conclusion is that ANN based algorithms makes it possible to model an observed system in a static but also in a dynamic way. Inverting the model generates a deeper insight view and additional knowledge about an observed system. The resulting applications range from supporting strategic decisions to predictive control or model based simulation.
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