18 research outputs found

    The Concept of a Smart Action – Results from Analyzing Information Systems Literature

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    In recent years, the term \u27smartness\u27 has entered widespread use in research and daily life. It has emerged with various applications of the Internet of Things, such as smart homes and smart factories. However, rapid technological development and careless use of the term mean that, in information systems (IS) research, a common understanding of smartness has not yet been established. And while it is recognized that smartness encompasses more than the use of impressive information technology applications, a unified conceptualization of how smartness is manifested in IS research is lacking. To this end, we conducted a structured literature review applying techniques from Grounded Theory. We found that smartness occurs through actions, in which smart things and individuals interact, process information, and make data-based decisions that are perceived as smart. Building on these findings, we propose the concept of a \u27smart action\u27 and derive a general definition of smartness. Our findings augment knowledge about how smartness is formed, offering a new perspective on smartness. The concept of a smart action unifies and increases understanding of \u27smartness\u27 in IS research. It supports further research by providing a concept for describing, analyzing, and designing smart actions, smart devices, and smart services

    Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research – A Predictive Maintenance Story

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    Artificial intelligence currently counts among the most prominent digital technologies and promises to generate significant business value in the future. Despite a growing body of knowledge, research could further benefit from incorporating technological features, human actors, and organizational goals into the examination of artificial intelligence-enabled systems. This integrative perspective is crucial for effective implementation. Our study intends to fill this gap by introducing affordance-experimentation-actualization theory to artificial intelligence research. In doing so, we conduct a case study on the implementation of predictive maintenance using affordance-experimentation-actualization theory as our theoretical lens. From our study, we find further evidence for the existence of the experimentation phase during which organizations make new technologies ready for effective use. We propose extending the experimentation phase with the activity of ‘conceptual exploration’ in order to make affordance-experimentation-actualization theory applicable to a broader range of technologies and the domain of AI-enabled systems in particular

    How to Develop a GDPR-Compliant Blockchain Solution for Cross-Organizational Workflow Management: Evidence from the German Asylum Procedure

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    Blockchain technology has the potential to resolve trust concerns in cross-organizational workflows and to reduce reliance on paper-based documents as trust anchors. Although these prospects are real, so is regulatory uncertainty. In particular, the reconciliation of blockchain with Europe’s General Data Protection Regulation (GDPR) is proving to be a significant challenge. We tackled this challenge with the German Federal Office for Migration and Refugees. Here, we explain how we used Action Research to guide the Federal Office in creating a GDPR-compliant blockchain solution for the German asylum procedure. Moreover, we explain the architecture of the Federal Office’s solution and present two design principles for developing GDPR-compliant blockchain solutions for cross-organizational workflow management

    Challenges and Opportunities of Blockchain-based Platformization of Digital Identities in the Public Sector

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    Digitalization promises unprecedented opportunities for public sector institutions to increase efficiency of current and to introduce new services. One of these opportunities are unique digital identities which could improve migration and refugee management, simplify distribution of social services, and improve healthcare systems. A major challenge, however, to the adoption of such digital identities is finding a suitable technological basis. Blockchain might be such a technology. The challenges of introducing blockchain-based digital identities, however, are both significant and fuzzy. To provide guidance on how to overcome these challenges, we provide a detailed exploration of blockchain-based platformization of digital identities and discuss interview insights from refugee and migration management in Germany. We find that blockchain offers promising solutions for unique digital identity management. Likewise, we find that implementation in the public sector would entail a range of organizational and technological challenges. Successful adoption, on the other hand, might ultimately pave the way for decentral and efficient e-government services

    The DLPS: A New Framework for Benchmarking Blockchains

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    Distributed Ledger Technologies (DLT) promise to revolutionize business ecosystems by permitting secure transactions without intermediaries. A widely recognized challenge that inhibits the uptake of DLT is scalability and performance. Hence, quantifying key metrics such as throughput and latency is crucial for designing DLT-based infrastructures, applications, and ecosystems. However, current benchmarking frameworks for blockchains do not cover the whole benchmarking process; impeding transparent comparisons of different DLT networks. In this paper, we present the Distributed Ledger Performance Scan (DLPS), an open-source framework for end-to-end performance characterizations of blockchains, addressing the need to transparently and automatically evaluate the performance of highly customizable configurations. We describe our new framework and argue that it significantly improves existing DLT benchmarking solutions. To demonstrate the capabilities of the DLPS, we also summarize the main results obtained from a series of experiments that we have conducted with it, giving a first comprehensive comparison of essential scalability properties of several commonly used enterprise blockchains

    Towards a Theory of Decentral Digital Process Ecosystems : Evidence from the Case of Digital Identities

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    Blockchain could transform process management and usher in decentral digital process ecosystems. Such ecosystems present a paradigm shift from central control towards decentral coordination and we increasingly see them appear in various places. Here, we provide our idea of a theory of the emergence of these ecosystems and their theoretical constructs. Our theory builds on a single-case study in the area of digital identities for refugees in Europe

    Supporting communication and cooperation in the asylum procedure with Blockchain technology : A proof of concept by the Federal Office for Migration and Refugees

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    The proof of concept showed that the use of Blockchain technology could support cross-organisational communication and cooperation in the asylum procedure. In addition, Blockchain could provide an important foundation for the establishment of digital identities and allow an asylum seeker’s procedure to be tracked based on this identity. Admittedly, not all applicable data protection regulations were fully implemented in the proof of concept. However, the findings gained as part of the project provide a promising basis for the development of a Blockchain-based solution for the asylum procedure that complies with data protection requirements. Moreover, the developed concept could scale beyond Germany’s borders. Blockchain-based, transnational management of asylum procedures could therefore become a joint project of the European member states to strengthen cooperation while safeguarding federal structures. This means that Blockchain technology could be the start of digital federalism in Europe (including the asylum procedure)
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