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- PublikationHow Swiss start-ups deal with business model innovation(Academic conferences international limited, 2022) Philippi, Stefan; Hinz, Andreas; Kabous, Laila; Sklias, Pantelis; Apostolopoulos, Nikolaos [in: Proceedings of the 17th European conference on innovation and entrepreneurship]The term business model innovation refers to the introduction of innovations that differ from state-of-the-art business models in the same field. Current research indicates that business model innovations are more resilient (e.g. to imitation) overall and more successful in the long term compared to traditional types of innovation (e.g. product innovations). Working on business model innovation, therefore, can provide valuable insights, particularly for start-ups looking to grow and scale up under conditions of extreme uncertainty. Business model innovation involves the innovation of two of four core elements of a business model: customer, value proposition, value chain and revenue mechanism. A business model can be described using these four elements in a sophisticated and comprehensive manner. Moreover, these elements help us to determine whether a business model innovation exists. However, do start-ups really use the advantages of business model innovation and to what extent? This research paper addresses this issue and examines the role business model innovation plays for start-ups as well as how it has been implemented. To gain these insights, we examine the business plans of 24 finalists of a Swiss innovation competition in 2021 in a multi-stage process. We systematically reviewed and analysed business plans individually using pre-defined innovation criteria for each of these four elements of a business model. The individual analysis allows a robust assessment to be able to make a comprehensible classification. On reviewing the results, we were surprised by how many of the analysed start-ups are pursuing business model innovations, and that they often innovate more than two elements of their business models. According to our findings, start-ups nowadays deal with business model innovation more often than they did in previous research studies. We can also show that business model innovations are often more complex than they were in the past.04B - Beitrag Konferenzschrift
- PublikationUnderstanding the relationship between organisational culture and open innovation(ISPIM, 2018) Heimsch, Fabian; Barjak, Franz; Bitran, I.; Conn, Stefan; Huizingh, Eelko; Kokshagina, Olga; Torkkeli, M.; Tynnhammar, Marcus [in: Proceedings of the XXIX ISPIM Innovation Conference. Innovation, The Name of the Game]Different cultural traits of organisations, such as the orientation towards flexibility, risk toler-ance, and reflexivity have been found to influence their innovation performance. However, the relationship of corporate culture to openness of innovation activities has been largely over-looked, except for early studies on the so-called not-invented-here (NIH) syndrome and few newer studies. Our contribution aims at closing this gap. Drawing on a survey of more than 250 Swiss companies, we relate different constructs of organisational culture to the openness of technological innovation activities. We find that openness varies considerably by company size, age, and group membership. A complementary relationship between internal R&D and open-ness prevails. Out of six cultural constructs we find the strongest correlation between a rule and plan-oriented culture and the degree of openness of process innovations. Moreover, spontane-ous decision-making and action relates negatively to procuring innovation support act04B - Beitrag Konferenzschrift
- PublikationCybersecurity dynamics in software development environment. What system traps do exist?(System dynamics society, 2020) Zeijlemaker, Sander; von Kutzschenbach, Michael [in: Proceedings of the 38th International Conference of the System Dynamics Society]Increasing dependency on information technology and an increasing number of cyber-attacks give rise to concerns about secure software development methods. Building system dynamics models we research and compare the structure underlying the behaviour relevant to security software developments for both agile and traditional software delivery methods. The difference between these models is related to the key characteristics of these methods, but not to the security aspects itself. Both dynamic models show similar structures to developing software and cybersecurity dynamics. Our study shows that network externalities may evoke the acceptance trap. The acceptance trap begins when insecure software is brought into production and is actively used, because if software is available, it can generate income, while further security development will cost more money. Insecure software means the software still contains vulnerabilities that can be exploited by cybercriminals in near future. In order to exploit these vulnerabilities cybercriminals will launch cyber attackers. In such situation there may be a contamination effect caused by successful attacks may evoke more cybercriminal activities. These ongoing cyber-attacks will have such an impact that more and more security improvements and incident responses are needed, which result in increasingly higher costs. As a result, less capacity will be available for future software development. The model structures suggest that more time and money spent on security testing and resolving vulnerabilities helps to avoid the acceptance trap. Similar conclusions have been formulated in the field of Internet of Things adaptation research. Further model quantification, validation, and policy evaluation should provide further insights and recommendations to resolve the acceptance trap.04B - Beitrag Konferenzschrift
- PublikationMaximizing the likelihood of detecting outbreaks in temporal networks(Springer, 2020) Sterchi, Martin; Sarasua, Cristina; Grütter, Rolf; Bernstein, Abraham; Cherifi, Hocine; Gaito, Sabrina; Mendes, José Fernendo; Moro, Esteban; Rocha, Luis Mateus [in: Complex networks and their applications VIII. Volume 2 proceedings of the eighth international conference on complex networks and their applications COMPLEX NETWORKS 2019]Epidemic spreading occurs among animals, humans, or computers and causes substantial societal, personal, or economic losses if left undetected. Based on known temporal contact networks, we propose an outbreak detection method that identifies a small set of nodes such that the likelihood of detecting recent outbreaks is maximal. The two-step procedure involves (i) simulating spreading scenarios from all possible seed configurations and (ii) greedily selecting nodes for monitoring in order to maximize the detection likelihood. We find that the detection likelihood is a submodular set function for which it has been proven that greedy optimization attains at least 63% of the optimal (intractable) solution. The results show that the proposed method detects more outbreaks than benchmark methods suggested recently and is robust against badly chosen parameters. In addition, our method can be used for outbreak source detection. A limitation of this method is its heavy use of computational resources. However, for large04B - Beitrag Konferenzschrift
- PublikationCreating social impact with startup incubator programs for refugees. Using social entrepreneurship to accelerate integration(LUMSA University, 2022) Hinz, Andreas; von Kutzschenbach, Michael; Meyer, Rolf; Michelini, Laura; Minà, Anna; Alaimo Di Loro, P. [in: Sustainable business model challenges. Economic recovery and digital transformation]Focusing on social business model innovation at the example of startup incubator programs for refugees, this research provides insights into how such programs can create social impact. With the importance of social integration in mind, the guiding question for this work is how social entrepreneurship in the form of startup incubator programs for refugees can create social impact by addressing key challenges of integration. Based on a literature review and interviews with refugees and integration experts, it appears that challenges primarily relate to language skills, professional qualifications, psychological stress and discrimination. While conventional standardized integration programs address some of these issues, gaps remain that slow down integration. This is where startup incubators can make a difference. For instance, they offer personalized coaching and mentoring to allow for individual needs and to empower participants to develop and deploy their potential. Further, they help participants build a strong personal network in the local ecosystem. Moreover, entrepreneurial skills are developed to prepare participants for self-employment as an alternative to the difficult job search. Overall, this work illustrates that social innovation of startup incubator programs for refugees can accelerate integration and create social impact.04B - Beitrag Konferenzschrift