Auflistung nach Autor:in "Mihale-Wilson, Cristina"
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- KonferenzbeitragAgent-based Models as a Method to Analyse Privacy-friendly Business Models in an Assistant Ecosystem(Open Identity Summit 2020, 2020) Kubach, Michael; Fähnrich, Nicolas; Mihale-Wilson, CristinaVarious projects and initiatives strive towards designing privacy friendly open platforms and ecosystems for digital products and services. However, besides mastering technical challenges, achieving economic viability and broad market success has so far proven to be difficult for these initiatives. Based on a publicly funded research project, this study focuses on the business model design for an open digital ecosystem for privacy friendly and trustworthy intelligent assistants. We present how the agent-based modelling technique can be employed to evaluate how business models perform in various constellations of an open digital ecosystem. Thus, our work relates to the strategic choice of suitable business models as an important success factor for privacy and security-relevant technologies.
- TextdokumentBusiness Models for Open Digital Ecosystems of Trustable Assistants(Open Identity Summit 2019, 2019) Mihale-Wilson, Cristina; Kubach, MichaelDigital ecosystems (DEs) are self-organizing, robust and scalable environments where various stakeholders interact to solve complex problems. The idea of building digital ecosystems is not new. Thus, we can currently draw on an extensive body of literature on the topic. Although academics have addressed the technical and architectural challenges of building digital ecosystems as well as their desirability regarding innovativeness and privacy, research on how to ensure the economic viability and thus sustainability of such DEs remains scarce. In this study, we address this void in the literature and focus on the economic challenges of building open DE. We discuss this topic in the context of an open DE for trustable assistants in the Internet of Things (IoT) and vet the research question: “which are the business models an open DE must support to be economically viable?" Based on a structured research analysis we identify seven business models,which are most likely essential to the economic success of the analysed DE.
- KonferenzbeitragConsumer Privacy Concerns and Preferences for Certification and Accreditation of Intelligent Assistants in the Internet of Things(Open Identity Summit 2020, 2020) Carl, Valerie; Mihale-Wilson, CristinaInteroperable Intelligent Assistant Systems (IAS) could help realize the advantages of the Internet of Things (IoT). Yet, due to their insufficient skill set and persistent privacy concerns on the consumers' side, such IAS experience only limited popularity. While enabling IAS to communicate and exchange data with each other could help such systems improve performance, certifications and accreditations can help build user's trust by addressing some of the consumers' privacy concerns. To better understand the incentives necessary to instigate the mass adoption of interoperable IAS, this paper presents a study exploring consumer privacy concerns and preferences for privacy certifications. The ultimate purpose of this paper is to provide certification recommendations for intelligent IoT networks in general and IAS in particular.
- ZeitschriftenartikelCorporate Digital Responsibility(Business & Information Systems Engineering: Vol. 64, No. 2, 2022) Mihale-Wilson, Cristina; Hinz, Oliver; Aalst, Wil; Weinhardt, Christof
- TextdokumentFrom Physical to Virtual: Leveraging Drone Imagery to Automate Photovoltaic System Maintenance(INFORMATIK 2021, 2021) Lowin, Maximilian; Kellner, Domenic; Kohl, Tobias; Mihale-Wilson, CristinaOptimizing the maintenance of large-scale infrastructure can be a significant cost driver for small and medium-sized enterprises (SMEs). This paper presents a feasible approach to combine data from real-world physical structures collected through an automated maintenance process with cloud-based AI services to generate a meaningful virtual representation of such structures. We use photovoltaic systems as an exemplary physical structure and thermal imaging, collected through scheduled drone monitoring. With help of these unstructured data sources, we demonstrate our approach's applicability. Our solution artifact provides a lightweight AI application that is adoptable for other problem spaces, enabling an easier knowledge transfer from research to SMEs. By combining Cloud Computing with Machine Learning, the artifact identifies present and emerging damages of physical objects. It provides a virtual representation of the object's state and empowers a meaningful visualization.
- ZeitschriftenartikelKundenorientierte strategische Auswahl von Geschäftsmodellen für IoT-Ökosysteme(Wirtschaftsinformatik & Management: Vol. 13, No. 4, 2021) Kubach, Michael; Mihale-Wilson, Cristina
- ZeitschriftenartikelThe Impact of Strategic Core-Component Reuse on Product Life Cycles(Business & Information Systems Engineering: Vol. 64, No. 2, 2022) Mihale-Wilson, Cristina; Felka, Patrick; Hinz, Oliver; Spann, MartinThe mobile games business is an ever-increasing sub-sector of the entertainment industry. Due to its high profitability but also high risk and competitive atmosphere, game publishers need to develop strategies that allow them to release new products at a high rate, but without compromising the already short lifespan of the firms' existing games. Successful game publishers must enlarge their user base by continually releasing new and entertaining games, while simultaneously motivating the current user base of existing games to remain active for more extended periods. Since the core-component reuse strategy has proven successful in other software products, this study investigates the advantages and drawbacks of this strategy in mobile games. Drawing on the widely accepted Product Life Cycle concept, the study investigates whether the introduction of a new mobile game built with core-components of an existing mobile game curtails the incumbent's product life cycle. Based on real and granular data on the gaming activity of a popular mobile game, the authors find that by promoting multi-homing (i.e., by smartly interlinking the incumbent and new product with each other so that users start consuming both games in parallel), the core-component reuse strategy can prolong the lifespan of the incumbent game.
- TextdokumentTowards Predictive Maintenance as a Service in the Smart Housing Industry(INFORMATIK 2021, 2021) Lowin, Maximilian; Mihale-Wilson, CristinaMaintenance is a significant cost driver in many industries with tangible assets. Aiming to predict damages before they occur, this paper focuses on predictive maintenance (PdM) for smart buildings and apartments – a multi-billion-dollar market with substantial cost savings potential. Based on stakeholder groups’ heterogeneity within the smart housing industry, PdM cannot be a one-fits-all solution. To be effective, practitioners can enrich PdM with Artificial Intelligence (AI). However, to match very heterogeneous environments and the various needs of the stakeholders, PdM must be modular and flexible. Motivated by the challenges and peculiarities for implementing Predictive Maintenance as a Service (PdMaaS) in the smart housing industry, we provide a concept to support managers to overview and optimize complex PdM needs in complex and heterogeneous environments.