The Impact of Search and Recommendation Systems on Sales in Electronic Commerce

The Internet and related technologies have vastly expanded the variety of products that can be profitably promoted and sold by online retailers. Furthermore, search and recommendation tools reduce consumers’ search costs in the Internet and enable them to extend their search from a few easily found best-selling products (blockbusters) to a large number of less frequently selling items (niches). As a result, Long Tail sales distribution patterns emerge that illustrate an increasing demand in niches. We show in this article how different classes of search and recommendation tools affect the distribution of sales across products, total sales, and consumer surplus. We hereby use an agent-based simulation which is calibrated based on real purchase data of a video-on-demand retailer. We find that a decrease in search costs through improved search technology can either shift demand from blockbusters to niches (search filters and recommendation systems) or from niches to blockbusters (charts and top lists). We break down demand changes into substitution and additional consumption and show that search and recommendation technologies can lead to substantial profit increases for retailers. We also illustrate that decreasing search costs through search and recommendation technologies always lead to an increase in consumer surplus, suggesting that retailers can use these technologies as competitive advantage.     

The effect of exposure to sexual appeals in advertisements on memory,attitude, and purchase intention: a meta-analytic review

Researchers have often attempted to answer the question, ‘Does sex sell?’ In this article, we present a meta-analysis of studies that used an experiment to test the effect of sexual appeals in ads on memory, attitude, and purchase intention. Our analysis revealed a significant positive effect for sexual appeals on ad recognition and recall (weighted Cohen's d = .38, p < .001), but the effect on brand recognition and recall was not significant (d = .09, p = .30). We also found that the effect of sexual appeals on attitude towards the ad was not significant (d = ?0.07, p = .26); however, additional analysis showed that males (d = .27, p < .01) evaluate ads with sexual appeals significantly more positively than females (d = ?.38, p < .001). Finally, we found a small significant negative effect on brand attitude (d = ?.22, p < .05), but no effect on purchase intention (d = .01, p = .94).     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Komplexe Kompressionstherapie

pAVK: Wann ist Kompression erlaubt? - Eine periphere arterielle Verschlusskrankheit (pAVK) gilt meist als Kontraindikation für eine komplexe Kompressionstherapie – nicht immer zum Nutzen des Patienten. Bei strenger Indikationsstellung und intensiver Betreuung k?nnen jedoch auch diese Patienten von der Behandlungsform profitieren.     

Forschung und Innovation: Wo steht Deutschland?

Aufwendungen für Forschung und Entwicklung werden im Hinblick auf die internationale Wettbewerbsf?higkeit eines Wirtschafts- und Technologiestandorts als besonders bedeutsam eingesch?tzt. Wie l?sst sich der Zusammenhang zwischen Forschung und wirtschaftlicher Entwicklung empirisch nachweisen? Welchen Rang nimmt Deutschland im internationalen Vergleich der Forschungs- und Innovationsaktivit?ten ein? Welche Handlungsoptionen ergeben sich für die Wirtschaftspolitik?     

Tumorpatienten – die Rolle der Angehörigen

Zusammenfasung  Belastungen, Bew?ltigungen, Ressourcen — Angeh?rige von Patienten werden im medizinischen Behandlungsprozess nicht selten als „St?rfaktoren“ wahrgenommen, die durch ihre Gegenwart, ihre Fragen und Anliegen den Arbeitsalltag „behindern“. Nur allzu schnell wird übersehen, welche gro?e Bedeutung sie bei der Betreuung der Patienten haben und wie hilfreich und unterstützend sie auch für das Pflegepersonal sein k?nnen – das gilt auch und besonders in der Onkologie.     

THE EVOLUTION OF COMPETITIVENESS IN HUNGARIAN AGRICULTURE: FROM TRANSITION TO ACCESSION

MOCT-MOST: Economic Policy in Transitional Economies -     

Medien-Priming — Grundlagen, Befunde und Forschungstendenzen

Media priming is the process by which information from the media make disposable units of knowledge cognitively more easily accessible. This increases the chance that they be better applied to subsequent information from the environment than less accessible units. Research on cognitive media effects, though, does not seem to agree on what the bases of media priming are, what the state of knowledge is, and what remains to be studied. This article attempts to do away with these disagreements by (1) describing the (cognitive-)psychological bases of the concept of media priming, (2) by structuring the crucial empirical results with regard to these bases, and, starting with the traditions and also the deficiencies of recent research, by (3) presenting a program for future research.