Dominik Bilgeri
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  • Publication
    Blockchain for the IoT: Privacy-Preserving Protection of Sensor Data
    (Assoc. of Information Systems, )
    Chanson, Mathieu
    ;
    Bogner, Andreas
    ;
    Bilgeri, Dominik
    ;
    Fleisch, Elgar orcid-logo
    ;
    Wortmann, Felix
    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.
    Type: journal article
    Journal: Journal of the Association for Information Systems
    Volume: Vol. 20, Issue 9
    Issue: Article 10
    DOI: 10.17705/1jais.00567
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/116717
    Scopus© Citations 112
  • Publication
    Capturing Value in the Internet of Things
    (Thexis Verlag, 2020-01)
    Wortmann, Felix
    ;
    Herhausen, Dennis
    ;
    Bilgeri, Dominik
    ;
    Weinberger, Markus
    ;
    Fleisch, Elgar orcid-logo
    The Internet of Things (loT) promises to deliver enormous business value. More specifically, loT solutions disrupt existing business models by opening up novel service opportunities. In order to help companies understand the opportunities and challenges of this development, we shed light on different loT revenue models. Based on an inductive case study approach, we identify nine direct and indirect revenue patterns. The different types of revenue patterns all use loT-enabled services to create value for customers; the extent and the monetization of services, however, vary.
    Type: journal article
    Journal: Marketing Review St.Gallen
    Volume: 37
    Issue: 1
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/112516
  • Publication
    Type: journal article
    Journal: MIS Quarterly Executive
    Volume: 18(3)
    DOI: 10.17705/2msqe.00016
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/98274
    Scopus© Citations 31
  • Publication
    Blockchain for the IoT: Privacy-Preserving Protection of Sensor Data
    (Association for Computing Machinery, 2019)
    Chanson, Mathieu
    ;
    Bogner, Andreas
    ;
    Bilgeri, Dominik
    ;
    Fleisch, Elgar orcid-logo
    ;
    Wortmann, Felix
    An ever growing variety of smart, connected Internet of Things (IoT) devices poses completely new challenges for businesses regarding security and privacy. In fact, the adoption of smart products may 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 could 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. To support this, we designed and developed an instantiation of an SDPS (CertifiCar) in three iterative cycles intented to prevent the fraudulent manipulation of car mileage data. Following the explication of our SDPS, we provide an ex post evaluation of our design theory considering CertifiCar and two additional use cases in the areas of pharmaceutical supply chains and energy microgrids. Our 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.
    Type: journal article
    Journal: Journal of the Association for Information Systems
    Volume: 20
    Issue: 9
    DOI: 10.17705/1jais.00567
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/99143
    Scopus© Citations 112
  • Publication
    Type: journal article
    Journal: HMD - Praxis der Wirtschaftsinformatik
    DOI: https://doi.org/10.1365/s40702-019-00561-2
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/98191
  • Publication
    Internet of Things Business Model Innovation and the Stage-Gate Process: An Exploratory Analysis
    (Imperial College Press, 2017-05)
    Tesch, Jan
    ;
    Brillinger, Anne-Sophie
    ;
    Bilgeri, Dominik
    Large manufacturing companies will in future be continuously challenged to develop and implement new IoT-related business models. Existing research offers interesting insights on high-level stages of business model innovation (BMI) processes in general. However, only little is known about the presence of main gates in BMI processes and even less about the underlying decision criteria applied at these gates. To shed more light on this research field, 27 expert interviews with employees from eight companies across the IoT ecosystem were conducted. The expert interviews reveal that, despite the increasing popularity of (radically) new innovation approaches, two main decision points can be identified across BMI processes. These findings are a first explorative step towards a better understanding of IoT adoption and provide a starting point for interesting future research avenues.
    Type: journal article
    Journal: International journal of innovation management : IJIM
    Volume: 21
    Issue: 5
    DOI: 10.1142/S1363919617400023
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/102434
    Scopus© Citations 40
  • Publication
    Type: journal article
    Journal: Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung : Zfbf
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/103566
  • Publication
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/102866
  • Publication
    Type: book section
    DOI: https://doi.org/10.1007/978-3-658-32439-1_1
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/110458
  • Publication
    IoT business models in an industiral context
    ( 2016-09-13)
    Markus Weinberger
    ;
    Dominik Bilgeri
    ;
    Elgar Fleisch orcid-logo
    There is a broad consensus that the transforma-tive power of the Internet of Things (IoT) will affect allkinds of industries; or, to put it in a more optimistic light,that almost no domain is excluded from the opportuni-ties to leverage the IoT. But, what does this mean for thefuture of industrial processes? This article introduces theconcept of high-resolution management (HRM). IoT en-ables the collection of high-resolution data for the phys-ical world where, as in the digital world, every aspect ofbusiness operations can be measured in real-time. Thiscapability facilitates high-resolution management, suchas short optimization cycles in industrial production, lo-gistics and equipment efficiency, comparable to methodslike A/B-Testing or Search Engine Optimization, which arestate of the art in digital business. We take the followingtwo perspectives on leveraging high-resolution manage-ment. First, through greater insights into their industrialprocesses, companies that apply HRM in their operationsare able to achieve higher efficiency, quality and flexibil-ity. The example of vehicle fleet management illustratesthis effect. Second, we buildupon the St. Gallen BusinessModel Navigator in order to look in greater detail on howthe IoT affects industrial processes. Gassmann et al.¹in-troduce55generic business model patterns, of which our xtended research identified20that could profit signifi-cantly from the IoT².Analyzingthese20patterns allowedfor the identificationof six key components:Remote Usageand Condition Monitoring,Object Self Service,Digital Add-on,Digital Lock-in,Product as a Point of SalesandPhysicalFreemium. These building blocks help companies to sup-ply HRM-supported offerings. Finally, the example of re-mote monitoring of process parameters shows that thesebusiness model components can also be deployed to cre-ate offerings that enable others to apply HRM.
    Type: case review (law)
    Journal: at - Automatisierungstechnik
    Volume: 64
    Issue: 9
    DOI: 10.1515/auto-2016-0054
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/120425
    Scopus© Citations 31