Blockchain systems become increasingly attractive targets for cybercrime due to the rising amount of value transacted in respective systems. However, researchers and practitioners alike lack a comprehensive overview of existing attacks and a directive discussion of resulting implications.
Employing a structured literature review, we analyzed academic research concerning malicious attacks on blockchain systems. We extracteded 87 relevant attacks and structure those using the attack tree notation. Our results show that the academic discourse revolves mainly around the analysis of a few individual attacks, and most publications deal with attacks on either Bitcoin or Ethereum. We further found that most attacks target the on-chain application logic component (smart contracts) of the blockchain technology stack as well as consensus mechanisms. A majority of attacks are mitigable, and socio-technical components play an important role in both attacks and applying effective countermeasures.
Our paper "A Structured Overview of Attacks on Blockchain Systems" presenting the results of this research project has been accepted for presentation at the 24th Pacific Asia Conference on Information Systems (PACIS 2021).
Artificial Intelligence (AI) carries the potential to drive innovation in many parts of today’s business environment. Instead of building AI capabilities in-house, some organizations turn towards an emergent phenomenon: AI service platforms. However, as a novel concept in both research and practice, a systematic characterization of AI service platforms is missing.
To address this gap, we defined the concept of AI service platforms and developed a comprehensive taxonomy. Therefore, we relied on existing literature, 14 expert interviews, and a sample of 31 AI service platforms. Our contribution is threefold: First, our taxonomy systematically structures essential properties of AI service platforms, guiding future research and management practice. Second, we derive three generic motives of AI service platforms. Third, we contribute to the literature by critically discussing to what extent AI service platforms fit into the existing academic discourse on digital platforms and elaborate on future research directions.
Our paper “Gateways to Artificial Intelligence: Developing a Taxonomy for AI Service Platforms” presenting the results of this research project has been accepted for presentation at the 29th European Conference on Information Systems (ECIS 2021).
Paper on requirements for blockchain-based e-government services accepted for presentation at WI 2021
Information Systems research acknowledges the importance of identifying requirements to ensure the artifact's relevance. However, many research articles addressing blockchain technology for e-government capture the requirements that need to be fulfilled only implicitly by defining system objectives or evaluation criteria. Furthermore, focusing on specific use-cases encompasses the risk of overlooking those requirements, which are not as obvious but equally important. This procedure causes uncertainty regarding the requirements a blockchain-based e-government service needs to fulfill.
Therefore, we conducted a systematic literature review on blockchain-based government-to-citizen (G2C) e-government services. On this basis, we categorized the requirements as we find that they address either the data of the system, the user, or the system itself. Our categorization provides a structured overview supporting researchers in conducting research on blockchain technology in the public sector and giving practitioners input to develop, test, and evaluate new blockchain-based G2C e-government services.
Our paper "What Do We Really Need? A Systematic Literature Review of the Requirements for Blockchain-based E-government Services" on the results of this research project co-authered by Julia Ahmend, Julian Kaiser, Lucas Uhlig, Fabiana Völter and myself has been accepted for presentation at the 16th International Conference on Wirtschaftsinformatik (WI 2021).
In the industrial Internet of Things (IIoT), the concept of digital platforms has received significant attention. Although IIoT platforms revolve around similar business objectives, they address a variety of use cases and, thus, differ considerably in their architectural setup. While research has already investigated IIoT platforms from a business or design perspective, little is known about their underlying technology stack and its implications.
To unveil different IIoT platform configurations and better understand their architectural design, we systematically developed and validated a taxonomy of IIoT platforms’ architectural features based on related literature, real-world cases, and expert interviews. On this foundation, we identified and discussed four IIoT platform archetypes.
Our findings contribute to the descriptive knowledge in this ambiguous research field, while also elucidating the interplay of IIoT platforms’ architectural setup and their purpose. From a managerial viewpoint, our results may guide practitioners in comparing and selecting a suitable IIoT platform.
Our paper “A Taxonomy of Industrial IoT Platforms’ Architectural Features” on the results of this research project co-authored by Laurin Arnold, Jan Jöhnk, Florian Vogt and myself has been accepted for presentation at the 16th International Conference on Wirtschaftsinformatik (WI 2021).
Algorithms that create previously unseen, yet realistic images and melodic music? Machine learning models that literally read human minds? Peter Hofmann, Timon Rückel and I shed light on the capabilities of Deep Generative Learning and are happy to present our paper "Innovating with Artificial Intelligence: Capturing the Constructive Functional Capabilities of Deep Generative Learning" at the 54th Hawaii International Conference on System Sciences (HICSS-54).
Our article "Digitalisierung in der Justiz – Vertrauen in digitale Dokumente durch Blockchain-Technologie" (Digitalization in justice – Trust in digital documents through blockchain technology) has been published in Wirtschaftsinformatik & Management and is available online (Open Access).
Our paper "A contingency lens on cloud provider management processes" co-authored by Severin Oesterle, Jan Jöhnk, Robert Keller, Xin Yu and me has been accepted for publication in Business Research and has already been published online (Open Access).
The discussion paper "Software-defined Business – Implications for IT Management" which I co-authored together with Rainer Alt, Jan Marco Leimeister, Thomas Priemuth, Stephan Sachse and Nico Wunderlich has been pubslished in Business & Information Systems Engineering (BISE) (online first).