Elgar Fleisch
Title
Prof. Dr.
Last Name
Fleisch
First name
Elgar
Email
elgar.fleisch@unisg.ch
ORCID
Phone
+41 71 224 7241
8 results
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Item type:Publication, Blockchain 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.Type:journal articleJournal:Journal of the Association for Information SystemsVolume:Vol. 20, Issue 9Issue:Article 10Scopus© Citations 160 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards Non-intrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic ConditionType:journal articleJournal:IEEE Internet of Things JournalVolume:09Issue:14Scopus© Citations 18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Business Models in the Age of Pervasive Digitization. Thesis Proposal, ICIS Doctoral Consortium 2014(Association for Information Sytems, 2014-12-14); The increasing pervasiveness of digital technologies, also refered to as "Internet of Things" (IoT), offers a wealth of business model opportunities, which often involve an ecosystem of partners. In this context, companies are required to look at business models beyond a firm-centric lens and respond to changed dynamics. However, extant literature has not yet provided actionable approaches for business models for IoT-driven environments. Our research therefore addresses the need for a business model framework that captures the specifics of IoT-driven ecosystems. Applying an iterative design science research approach, the present paper describes (a) the methodology, (b) the requirements, (c) the design and (d) the evaluation of a business model framework that enables researchers and practitioners to visualize, analyze and design business models in the IoT context in a structured and actionable way. The identified dimensions in the framework include the value network of collaborating partners; sources of value creation; specifics benefits from collaboration. Evidence from action research and multiple case studies indicates that the framework is able to depict business models in IoT.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designing Business Models in the Era of Internet of Things : Towards a Reference Framework(Springer International Publishing, 2014); ; Tremblay, Monica ChiariniThe increasing pervasiveness of digital technologies, also refered to as ”Internet of Things” (IoT), offers a wealth of business model opportunities, which often involve an ecosystem of partners. In this context, companies are required to look at business models beyond a firm-centric lens and respond to changed dynamics. However, extant literature has not yet provided actionable approaches for business models for IoT-driven environments. Our research therefore addresses the need for a business model framework that captures the specifics of IoT-driven ecosystems. Applying an iterative design science research approach, the present paper describes (a) the methodology, (b) the requirements, (c) the design and (d) the evaluation of a business model framework that enables researchers and practitioners to visualize, analyze and design business models in the IoT context in a structured and actionable way. The identified dimensions in the framework include the value network of collaborating partners (who); sources of value creation (where); benefits from collaboration (why). Evidence from action research and multiple case studies indicates that the framework is able to depict business models in IoT.Type:conference paperVolume:LNCS 8463Issue:8463Scopus© Citations 105 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobile First Notice of Loss: Claim Assistance in your Pocket(Springer Berlin Heidelberg, 2009-05-11) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobile First Notice of Loss: Web Service-Based Enterprise Integration of the Android Platform(Austrian Computer Society, 2009-05-11) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, IoT business models in an industiral context(2016-09-13); 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 - AutomatisierungstechnikVolume:64Issue:9Scopus© Citations 41 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Wenn Dinge netzwerkenType:newspaper articleJournal:startingUp - Für Gründer und EntrepreneureIssue:01/2015