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In this paper, different factors influencing the perceived data security (PDS) of online shoppers are analyzed. For this purpose, the authors first conduct a literature review and later analyze the results of an empirical study, by applying a regression analyses. Based on the findings of this research, the paper identified the frequency of gathering information on the topic of data security and the experience of being hacked as factors with a significant negative impact on PDS. In addition, a well perceived benefit and, in special cases, an e-Commerce business’ brand can positively influence PDS of customers. In conclusion, the paper delivers insights into the perceptions of data security and delivers some suggestions on how a company could improve the PDS of their customers.
Due to the increased complexity in advertising and branding, a shift towards a greater use of emotional branding can be observed. In this context music, especially sogos and jingles, are one of the main elements, which seem to allow organizations to reinforce the transmitted brand image towards the consumers. However, so far no guidelines have been developed, which musical components should be included in the jingle to transmit certain emotions and brand images. The following study examines the fit between 11 brand jingles and the corresponding television commercials and analyses how well the jingles represent the actual and targeted brand image. With the help of a quantitative online survey with 170 participants it could be shown that jingles are indeed powerful tools to transmit certain emotions and the connected brand images. Furthermore, several guidelines for the creation of jingles could be developed in order to create and implement these short and catchy tunes as an extension of the visual advertisement.
Scenario Planning: How is big data going to influence the future of smart mobility in Germany?
(2016)
Smart mobility is the future of transportation services in Germany. The implementation and management of smart mobility is impossible without using big data. At the present time,the analysis of big data in Germany is not fully implemented due to existing challenges. The purpose of this research project is to forecast the impact of big data on smart mobility in Germany with the use of scenario planning. In order to receive the most actual scenarios, the input factors were designed in accordance with extensive literature research, and then ratios between all specifications of input factors were compared and evaluated. Thus four unique scenarios were selected for further detailed interpretation to suggest possible influences of big data on smart mobility in Germany
Dieser Leitfaden entstand im Rahmen des Projektes ENAS („Effekte und Nutzen altersgerechter Assistenzsysteme – praktikable Vorgehensmodelle, Evaluationsmethoden und Werkzeuge“), welches durch das Bundesministerium für Bildung und Forschung (BMBF) gefördert wurde. Dieser Leitfaden soll Akteuren in konkreten Forschungs- und Entwicklungsprojekten im Bereich der Mensch-Technik-Interaktion zur Unterstützung von Menschen mit Hilfsbedarf eine Orientierungshilfe zur Verfügung stellen.