Now showing 1 - 10 of 28
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Strategic Data Privacy Positions: An Exploratory Analysis of Forbes Global 2000 Companies

2023 , Fabian Alfred Schäfer , Eleftherios Patrikis , Felix Wortmann

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Barriers to IoT Business Model Innovation

2017 , Bilgeri, Dominik , Wortmann, Felix

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Mobile sensors on electric bicycles : A qualitative study on benefits and requirements from user perspective

2014-02-26 , Flüchter, Kristina , Wortmann, Felix , Kundisch, Dennis , Suhl, Leena , Beckmann, Lars

Electric bicycle (e-bike) sales have enjoyed tremendous growth in recent years. As the e-bike market is maturing, the collection, analysis and display of usage data is becoming an important source of differentiation for competitors. Several alternatives are conceivable as to how usage data might be collected, one of them being mobile sensing devices, which are permanently attached to the bicycles. While the technical feasibility of such devices appears within reach, little is known about the benefits and requirements from user perspective. This qualitative study presents findings from interviews with 33 potential users. User requirements concerning the sensor specification are derived and insights provided into users’ interest in bicycle-related data and their assessment of data sensitivity.

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Using Twitter as a Source for Travel Warnings: Understanding the Role of Information Source and Target Audience

2014-02-26 , Noyen, Kay , Wortmann, Felix , Dennis, Kundisch , Suhl, Leena , Beckmann, Lars

Business travelers are oftentimes equipped with technology informing them about local dangers. As these corporate travel risk applications increase personal safety during travels, they are also expensive and hardly available to the average traveler. Online platform Twitter, known for extensive contribution by nonaffiliated users, has also been recognized by international foreign offices as an outlet for travel warnings and guidance. This new channel of information allows for the creation of applications that bring current and high quality travel risk information to the mainstream. Our explorative research aims at investigating the role of the information source and target audience of such an application. The results of our analysis show no substantial evidence that user-generated travel risk information would be per se unsuitable as an information source. Further, our analysis revealed that frequent travelers as well as non-frequent Twitter users might be of special interest as a target group for the application.

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Leveraging Driver Vehicle and Environment Interaction: Machine Learning Using Driver Monitoring Cameras to Detect Drunk Driving

2023 , Kevin Koch , Martin Maritsch , Eva Van Weenen , Stefan Feuerriegel , Matthias Pfäffli , Elgar Fleisch , Wolfgang Weinmann , Felix Wortmann

Excessive alcohol consumption causes disability and death. Digital interventions are promising means to promote behavioral change and thus prevent alcohol-related harm, especially in critical moments such as driving. This requires real-time information on a person’s blood alcohol concentration (BAC). Here, we develop an in-vehicle machine learning system to predict critical BAC levels. Our system leverages driver monitoring cameras mandated in numerous countries worldwide. We evaluate our system with n = 30 participants in an interventional simulator study. Our system reliably detects driving under any alcohol influence (area under the receiver operating characteristic curve [AUROC] 0.88) and driving above the WHO recommended limit of 0.05 g/dL BAC (AUROC 0.79). Model inspection reveals reliance on pathophysiological effects associated with alcohol consumption. To our knowledge, we are the first to rigorously evaluate the use of driver monitoring cameras for detecting drunk driving. Our results highlight the potential of driver monitoring cameras and enable next-generation drunk driver interaction preventing alcohol-related harm.

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FOSTERING PRO-ENVIRONMENTAL BEHAVIOR WITH GREEN CONSUMER IS: THE EFFECTS OF IS-INDUCED CONSTRUAL AND GENERAL IS USAGE MOTIVATIONS

2016-06-12 , Dahlinger, André , Wortmann, Felix

In the context of the environmental challenges we are facing, technology is often seen as both a cause of and a potential remedy for humanity’s environmental impact. Green consumer infor-mation systems (IS) have shown to be powerful in promoting individuals’ pro-environmental be-havior. Yet, there is little knowledge about the mechanisms of how information systems lead to a sustainable change in behavior for the good. To fill this gap, we propose an experiment on the basis of a research model that sheds light on two critical aspects of how green consumer IS af-fects pro-environmental behavior: First, green consumer IS may be used to induce higher-level construals that foster superordinate determinants of pro-environmental behavior by displaying rather abstract than concrete information. Second, we analyze the direct and indirect role of technology adoption as a means to motivate pro-environmental behavior. To test our hypothe-ses, we propose an online experiment on eco-driving feedback and present first drafts of stimuli. Implications for consumer IS theory as well as for practice regarding feedback design are dis-cussed.

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Making Security Available for Everyone : Towards a Community-Based Smart Home Security System

2014-10-06 , Köhler, Marcus , Wortmann, Felix

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Navigating Companies through the Jungle of Emerging Digital Technology Strategies

2021-06-23 , Schäfer, Fabian Alfred , Projer, Stefan , Wortmann, Felix

Between 2010 and 2020 numerous strategic approaches that deal with digital technologies including IoT, AI and Big Data emerged. These approaches contain aspects that can be associated with existing strategy schools of thought. This article analyses 84 relevant publications and identifies the prevailing strategy schools throughout these publications. Our research is based on a semi-structured literature review and a deductive coding approach. The findings show that aspects from deliberate as well as emergent strategy schools are present and combined within the analysed publications. Our insights provide executives a clear overview of the prevailing strategic schools that researchers and practitioners have drawn on. This should enable them to trace these approaches back to the fundamental thoughts of the underlying strategy schools in order to gain a more fundamental understanding of potential aspects they may want to include in their own strategy for digital technologies.

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Das Potential des vernetzten Autos für die Fahrsicherheit : Lessons Learned anhand ausgewählter Beispiele

2015-03-24 , Dahlinger, André , Weinberger, Markus , Wortmann, Felix , Bruder, Ralph , Winner, Hermann

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User contribution in online communities - The influence of advertising on the effectiveness of social normative feedback

2014-06-24 , Noyen, Kay , Wortmann, Felix

Online communities are common means to maintain and extend private social networks. In addition, they also offer new ways for enterprises to connect and collaborate with customers, employees, and business partners. However, key challenge for online communities is engaging community members thereby keeping the community successful and alive. This is especially true for communities, which leverage advertising as a source of revenue. A potential means to compensate negative participation effects and foster contribution is social normative feedback being known as one of the most powerful levers of behavioral change. However, we want to challenge the power of this instrument in the context of communities building upon advertising and propose a respective field experiment with 600 participants. Our findings will be important for the design of online communities considering or relying on advertising as a source of revenue.