Auflistung nach Autor:in "Studer, David"

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Cyber Security Ecosystem - Specification of a Cyber Security Framework at Zühlke for Small and Medium-sized Enterprises
(Hochschule für Wirtschaft FHNW, 2020) Studer, David; Asprion, Petra
11 - Studentische Arbeit
Digital business development & portfolio. How to develop and manage digital business streams
(edition gesowip, 2019) Grüner, Peter; Schwaferts, Dino; Studer, David; Wild, Simon; Verkuil, Arie Hans; Hinkelmann, Knut; Aeschbacher, Marc
“The internet is like a wave. You either learn to swim with it or you will sink.” (Bill Gates). With this quote, Gates already pointed to the development of a digital economy, a completely new economic model based on information technology, where we now live. On the one hand, these new opportunities in information and communication technology (ICT) are changing the way companies have to operate. On the other hand, they are also changing customer expectations in a rapid and continuous manner that transforms them into fast moving targets. Therefore, legacy as well as non-legacy businesses have to rethink their business models, predict customer expectations and have to focus on customer centricity as well as on their own uniqueness on the market. In other words, organizations have to be very agile: they have to enable flexibility in their business models and diversify their risks in a well-managed way to remain competitive in such a dynamic environment. For these reasons, business model innovation is a crucial ability to manifest one’s own inimitability. Furthermore, business model innovation enables companies to search for new business logics and groundbreaking ways to create and capture value for its stakeholders. Nevertheless, such an innovative approach is risky, primarily due to its uncertainty of commercialization. Therefore, companies should not replace existing business models, but assess them with regard to the risk of a digital disruption and start with potential new business models next. This also requires changes in the organizational structure and asks for new methods to manage such a complex system of various business model development directions in a well-controlled way. One approach to cope with this challenge could be the digital business portfolio derived at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW).
04A - Beitrag Sammelband
The Bestbot Project
(Hochschule für Wirtschaft FHNW, 2018) Studer, David; Richards, Bradley; Hochschule für Wirtschaft FHNW, Brugg-Windisch
The BESTBOT has two direct predecessor projects, the GOODBOT and the LIEBOT. In 2013, the GOODBOT was created as a closed moral chatbot system which uses textual analysis to determine the user’s emotions and is able to react appropriately. Around three years later, the LIEBOT project was initiated; an open chatbot system which systematically generates untruths using several lie strategies. Each project, including the BESTBOT project, focuses specifically on the morality of machines and belongs to the research field of machine ethics. Both predecessor projects have room for improvement and advancement; thus, the BESTBOT project uses their findings as a basis for its development and realization.
11 - Studentische Arbeit
The Bestbot project
(Springer VS, 2019) Bendel, Oliver; Studer, David; Richards, Bradley; Bendel, Oliver
The young discipline of machine ethics both studies and creates moral (or immoral) machines. The BESTBOT is a chatbot that recognizes problems and conditions of the user with the help of text analysis and facial recognition and reacts morally to them. It can be seen as a moral machine with some immoral implications. The BESTBOT has two direct predecessor projects, the GOODBOT and the LIEBOT. Both had room for improvement and advancement; thus, the BESTBOT project used their findings as a basis for its development and realization. Text analysis and facial recognition in combination with emotion recognition have proven to be powerful tools for problem identification and are part of the new prototype. The BESTBOT enriches machine ethics as a discipline and can solve problems in practice. At the same time, with new solutions of this kind come new problems, especially with regard to privacy and informational autonomy, which information ethics must deal with.
04A - Beitrag Sammelband