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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
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.