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Felix Wortmann
Title
Prof. Dr.
Last Name
Wortmann
First name
Felix
Email
felix.wortmann@unisg.ch
Phone
+41 71 224 7325
Homepage
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1 - 10 of 12
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PublicationDer Plattform-Navigator: Chancen der Plattformökonomie realisieren(Hanser, 2023-10-13)
;Wolfgang BronnerPhilipp SutterType: book sectionVolume: 3 -
PublicationType: book section
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PublicationBosch IoT Suite: Exploiting the Potential of Smart Connected Products(Springer, 2021)
;Ferber, Stefan ;Cramer, Irene ;Bronner, WolfgangFerrandina, FabrizioRecent technological advances make it possible to connect almost any product, machine or device to the Internet. Specifically for manufacturing companies, this transition towards the Internet of Things (IoT) opens up completely new business opportunities. However, most companies still struggle to monetize the IoT. Recent findings suggest that more than half of all IoT projects fail. In this article, we want to show how manufacturing companies can successfully leverage the IoT. More specifically, we elaborate on IoT platforms and their potential to create tangible business results, using the Bosch IoT Suite as an example. To illustrate this, we present six horizontal IoT use cases that have proven to be very successful across industry domains at Bosch and its customers.Type: book section -
PublicationPlatform Economy: Converging IoT Platforms and Ecosystems(Springer, 2021)
;Bronner, WolfgangFerrandina, FabrizioPlatform companies like Airbnb, Amazon, or Google dominate our economy, and many more are on the rise to disrupt entire industries. In fact, eight of the ten most valuable companies worldwide follow a platform business model. Their success depends heavily on developing and sustaining network effects. This makes it almost inevitable for managers to analyze their own opportunities and risks in the platform economy. For traditional and product-focused companies, the Internet of Things has created new opportunities for platform business. In this article, we explain how the underlying platform mechanics work and bring together the perspectives of IoT, platform, and ecosystem. Using three successful but distinct IoT platform examples, we illustrate that platforms are not only for digital players and highlight key success factors for any practitioner looking to develop and manage an (IoT) platform.Type: book section -
PublicationDer lange Weg im IoT – Von der Vernetzung zur Profitabilität(Springer Vieweg, Wiesbaden, 2021-04-30)
;Gebauer, HeikoType: book section -
PublicationSmile or Cry? – The Impact of a Victim’s Facial Expression on Helping Behavior in Emergency ApplicationsToday’s wide spread of smartphones bares high potential for the effectiveness of emergency or helping applications. But helping is a complex psycho-social process. This has important implications for the UI design of such applications. In our research, we tested the effect of a victim’s facial expression (sad vs. happy) on a potential helper’s willingness to help in an online scenario. We further investigated, how the facial expression interacts with another well researched social phenomenon: the bystander effect. The results of this early research were mostly not as expected, but reveal interesting insights that are discussed and that open an exciting research avenue with important practical implications when it comes to the design of digital helping systems.Type: book section
Scopus© Citations 2 -
PublicationManaging Process Performance to Enable Corporate Sustainability: A Capability Maturity Model(Springer, 2012)
;vom Brocke, Jan ;Seidel, StefanRecker, JanType: book sectionScopus© Citations 15 -
PublicationUsing Quantitative Analyses to Construct a Capability Maturity Model for Business IntelligenceOne important means to explore the strengths andweaknesses of Business Intelligence (BI) initiatives is acomprehensive and accurate BI maturity assessmentinstrument. It is important that the assessment instrumentis transparently developed using the current BIknowledge base. This paper proposes a BI maturitymodel that is based on an explicit BI maturity conceptand using empirical data. The data is transformed intomaturity levels by applying the Rasch algorithm andcluster analysis. The resulting BI maturity model isconstructed on the basis of 58 items (capabilities). It iscomprised of five levels that we choose to label initiate,harmonize, integrate, optimize andperpetuate. An evaluation of the model demonstratesits utility.Type: book section
Scopus© Citations 43 -
PublicationTransformational IT Management(Gower, 2012)
;Gubler, Philipp ;Elting, Andreas ;Schultheis, Werner ;Uhl, AxelGollenia, LarsType: book section -
PublicationInductive Design of Maturity Models: Applying the Rasch Algorithm for Design Science Research(Springer, 2011)
;Lahrmann, Gerrit ;Marx, Frederik ;Jain, Hemant ;Sinha, Atish P.Vitharana, PadmalMaturity models are an established means to systematically document and guide the development of organizations using archetypal capability levels. Often, these models lack a sound foundation and/or are derived on the basis of an arbitrary design method. In order to foster the design of relevant and rigorous artifacts, this paper presents a method for maturity model construction that applies the Rasch algorithm and cluster analysis as a sound methodical foundation. The Rasch algorithm is widely used to improve scholarly intelligence and attainment tests. In order to demonstrate the application of the proposed method and to evaluate its usability and applicability, we present a design exemplar in the business intelligence domain.Type: book sectionVolume: 6629Scopus© Citations 60