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PublicationBlockchain for the IoT: Privacy-Preserving Protection of Sensor Data(Assoc. of Information Systems, )A constantly growing pool of smart, connected Internet of Things (IoT) devices poses completely new challenges for business regarding security and privacy. In fact, the widespread adoption of smart products might depend on the ability of organizations to offer systems that ensure adequate sensor data integrity while guaranteeing sufficient user privacy. In light of these challenges, previous research indicates that blockchain technology may be a promising means to mitigate issues of data security arising in the IoT. Building upon the existing body of knowledge, we propose a design theory, including requirements, design principles, and features, for a blockchain-based sensor data protection system (SDPS) that leverages data certification. We then design and develop an instantiation of an SDPS (CertifiCar) in three iterative cycles that prevents the fraudulent manipulation of car mileage data. Furthermore, we provide an ex-post evaluation of our design theory considering CertifiCar and two additional use cases in the realm of pharmaceutical supply chains and energy microgrids. The evaluation results suggest that the proposed design ensures the tamper-resistant gathering, processing, and exchange of IoT sensor data in a privacy-preserving, scalable, and efficient manner.
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PublicationMachine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes(Wiley Online Library, 2023-02-15)
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PublicationPatterns of business model innovation for advancing IoT platforms(Emerald, 2022-01-03)Purpose – The emergence of Internet of Things (IoT) platforms in product companies opens up new data-driven business opportunities. This paper looks at the emergence of these IoT platforms from a business-model perspective. Design/methodology/approach – The study applies a mixed method with two research studies: Study I–a cluster analysis based on a quantitative survey, and Study II–case studies based on qualitative interviews. Findings – The findings reveal that there is no gradual shift in a company’s business model, but in fact three distinct and sequential patterns of business model innovations: (1) platform skimming, (2) platform revenue generation and (3) platform orchestration. Research limitations/implications – The results are subject to the typical limitations of both quantitative and qualitative studies. Practical implications – The results provide guidance to managers on how to modify the components of the business model (value proposition, value creation and/or delivery and profit equation) in order to enable platforms to advance. Social implications – As IoT platforms continue to advance, product companies achieve better performance in terms of productivity and profitability, and more easily secure competitive advantages and jobs. Originality/value – The paper makes three original contributions: (1) it is the first quantitative study on IoT platforms in product companies, (2) identifies three patterns of business model innovations and (3) offers a first process perspective for understanding the sequence of these patterns as IoT platforms advance.Type:Journal:Volume:Issue:
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PublicationFLIRT: A Feature Generation Toolkit for Wearable Data( 2021-11-11)
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PublicationWhen Do Drivers Interact with In-Vehicle Well-being Interventions? An Exploratory Analysis of a Longitudinal Study on Public Roads(Association for Computing Machinery, 2021)Type:Journal:Volume:Issue:
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PublicationTHE ROLE OF USER-GENERATED CONTENT IN BLOCKCHAIN-BASED DECENTRALIZED FINANCE( 2020-06)The formation of IT companies and even of entire new technological ecosystems depends heavily on external financing. Consequently, the IS community has intensely studied various financing sources such as venture capital, initial public offerings or debt. Blockchain technology has led to the emergence of a system of decentralized finance (DeFi) which includes decentralized versions of equity and debt financing. In particular, equity-like fundraisings referred to as initial coin offerings (ICO) have received serious traction. In this paper, we investigate the role of user-generated content (UGC) for ICO success. Specifically, we leverage signaling theory to analyze how the activity on blogs and discussion forums is related to the amount of capital raised and the valuation in ICOs. We analyze data of 216 ICOs and provide first results indicating the importance of discussion forum activity for ICO success. Furthermore, we find that blogs seem less relevant than in traditional finance.Type:Journal:
