Beyond a Fistful of Tumblers: Toward a Taxonomy of Ethereum-based Mixers

2023 | International Conference on Information Systems | Citations: 0

Authors: Barbereau, Tom; Ermolaev, Egor; Brennecke, Martin; Hartwich, Eduard; Sedlmeir, Johannes

Abstract: The role played by decentralised services in the obfuscation of crypto-asset tr ... Expand

Abstract: The role played by decentralised services in the obfuscation of crypto-asset transactions performed on transparent blockchains has increasingly captured the attention of regulators. This is exemplified by the headlines about the U.S. Treasury's sanctions on the Ethereum-based mixer Tornado Cash. Yet, despite the existing controversies on the use of mixers, the different functionalities of these information systems with an inherent dark side remain to be explored by the literature. So far, contributions primarily encompass technical works and studies that focus on the Bitcoin ecosystem. This paper puts forward a multi-layer taxonomy of the smart-contract-based -and, therefore, functionally richer -family of mixers on Ethereum. Our proposed taxonomy is grounded on (1) a review of existing literature, (2) an analysis of mixers' project documentation, (3) their corresponding smart contracts, and (4) expert interviews. Our evaluation included the application of the taxonomy to two mixers -RAILGUN and zkBob. The taxonomy represents a valuable tool for law enforcement, regulators, and other stakeholders to explore critical properties affecting compliance and use of Ethereum-based mixers. Collapse

Topics: Ethereum smart contract cryptoasset blockchain user experience

Methods: qualitative interview theoretical contribution mixed method

IT Project Portfolio Management Tools: Towards Taxonomy-based Archetypes

2023 | HICSS | Citations: 0

Authors: Karrenbauer, Christin; Bergmann, Florian; Breitner, Michael H.

Abstract: To achieve organizational goals and remain competitive, evaluating, selecting, a ... Expand

Abstract: To achieve organizational goals and remain competitive, evaluating, selecting, and managing IT projects and proposals to build a value-driven portfolio is a critical activity. IT project portfolio management (ITPPM) tools assist these portfolio-related activities, support strategic decision-makers, and help complete more IT projects successfully. Despite existing research on this topic, knowledge about the characteristics and design elements of ITPPM tools is still limited. We develop a taxonomy based on scientific literature and 60 real-word ITPPM tools with four perspectives, 20 dimensions, and 51 characteristics. Subsequently, we perform a cluster analysis and identify five ITPPM tool archetypes. Our results and findings contribute to the knowledge base and integrate scientific and practical knowledge to build the basis for further research on ITPPM tools. Further, we structure the ITPPM tool market, guide practitioners in selecting an appropriate ITPPM tool and support the development of new solutions or develop existing ones further. Collapse

Topics: project management knowledge base web page website database system

Methods: cluster analysis literature study qualitative interview theoretical contribution k-means clustering

Designing a Method to Nudge Analytics with Artificially Generated Data

2023 | International Conference on Information Systems | Citations: 0

Authors: Kowalczyk, Peter; Röder, Marco; Rottmann, Janine; Thiesse, Frédéric

Abstract: ... Expand

Abstract: Collapse

Topics: analytical information system shapley additive explanation database system innovation management knowledge base

Methods: literature study computational algorithm literature sample design science business process modeling

Dark Sides of the Platform Economy: Market Power and Its Abuse by Platform Orchestrators

2023 | European Conference On Information Systems | Citations: 0

Authors: Kölbel, Tobias; Kunz, Daniel; Lamberty, Ricky

Abstract: Platforms drive the 21st century with orchestrating gatekeepers dominating the ... Expand

Abstract: Platforms drive the 21st century with orchestrating gatekeepers dominating the digital economy. Simultaneously, IT policymakers are increasingly concerned with antitrust regulation in the digital realm, abuse of market power, and monopolization cases against the most prominent digital platforms. This paper contributes to this ongoing debate by presenting the Platform Power Abuse Taxonomy. We provide an overview of abusive behaviors, considering the market position of platform orchestrators and differentiating platform types and affected market participants. Adopting a cross-platform approach, we rigorously analyze orchestrators' abuse vehicles and abuse tools to exploit their dominant position by incorporating findings from literature and real-world contexts. Collapse

Topics: electronic market digital platform price management legal context user interface

Methods: literature study literature sample case study qualitative interview structured literature research

Theories: lemon market theory

Leveraging the Potential of Conversational Agents: Quality Criteria for the Continuous Evaluation and Improvement

2023 | HICSS | Citations: 2

Authors: Lewandowski, Tom; Poser, Mathis; Kučević, Emir; Heuer, Marvin; Hellmich, Jannis; Raykhlin, Michael; Blum, Stefan; Böhmann, Tilo

Abstract: Contemporary organizations are increasingly adopting conversational agents (CAs) ... Expand

Abstract: Contemporary organizations are increasingly adopting conversational agents (CAs) as intelligent and natural language-based solutions for providing services and information. CAs promote new forms of personalization, speed, cost-effectiveness, and automation. However, despite their hype in research and practice, organizations fail to sustain CAs in operations. They struggle to leverage CAs’ potential because they lack knowledge on how to evaluate and improve the quality of CAs throughout their lifecycle. We build on this research gap by conducting a design science research (DSR) project, aggregating insights from the literature and practice to derive a validated set of quality criteria for CAs. Our study contributes to CA research and guides practitioners by providing a blueprint to structure the evaluation of CAs to discover areas for systematic improvement. Collapse

Topics: database system usability conversational agent user interface robotic

Methods: design artifact qualitative interview literature sample design science chatbot

A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing

2023 | ACM SIGMIS Database | Citations: 0

Authors: Wanner, Jonas; Wissuchek, Christopher; Welsch, Giacomo; Janiesch, Christian

Abstract: Fueled by increasing data availability and the rise of technological advances fo ... Expand

Abstract: Fueled by increasing data availability and the rise of technological advances for data processing and communication, business analytics is a key driver for smart manufacturing. However, due to the multitude of different local advances as well as its multidisciplinary complexity, both researchers and practitioners struggle to keep track of the progress and acquire new knowledge within the field, as there is a lack of a holistic conceptualization. To address this issue, we performed an extensive structured literature review, yielding 904 relevant hits, to develop a quadripartite taxonomy as well as to derive archetypes of business analytics in smart manufacturing. The taxonomy comprises the following meta-characteristics: application domain, orientation as the objective of the analysis, data origins, and analysis techniques. Collectively, they comprise eight dimensions with a total of 52 distinct characteristics. Using a cluster analysis, we found six archetypes that represent a synthesis of existing knowledge on planning, maintenance (reactive, offline, and online predictive), monitoring, and quality management. A temporal analysis highlights the push beyond predictive approaches and confirms that deep learning already dominates novel applications. Our results constitute an entry point to the field but can also serve as a reference work and a guide with which to assess the adequacy of one's own instruments. Collapse

Topics: production management smart manufacturing analytical information system industry 4.0 database system

Methods: cluster analysis literature study survey literature sample machine learning

Theories: fuzzy set theory

ARTIFICIAL INTELLIGENCE IN AUGMENTATIVE AND ALTERNATIVE COMMUNICATION SYSTEMS - A LITERATURE-BASED ASSESSMENT AND IMPLICATIONS OF DIFFERENT CONVERSATION PHASES AND CONTEXTS

2023 | European Conference On Information Systems | Citations: 0

Authors: Konadl, Daniel; Wörner, Janik; Luttner, Lucas; Leist, Susanne

Abstract: ... Expand

Abstract: Collapse

Topics: artificial intelligence database system

Methods: literature study literature sample structured literature research qualitative content analysis deep learning

A Functional Taxonomy of Data Quality Tools: Insights from Science and Practice

2022 | International Conference on Business Informatics | Citations: 0

Authors: Altendeitering, Marcel; Tomczyk, Martin

Abstract: For organizations data quality is a prerequisite for automated decision making a ... Expand

Abstract: For organizations data quality is a prerequisite for automated decision making and agility. To provide high quality data, numerous tools have emerged that support the different steps of data quality management. Yet, these tools vary in their functional composition and support for current trends, such as AI. There is no common and up-to-date perception of the capabilities a data quality tool should fulfill. In this paper, we develop a functional taxonomy of data quality tools to address this shortcoming and provide a holistic overview of data quality functionalities. We derived the taxonomy through an iterative approach of deductive reasoning by conducting a systematic literature review and inductive reasoning by reviewing existing data quality tools and gaining insights from experts. By applying our taxonomy to 18 commercial data quality tools we aim to provide the reader with a review of data quality tools and reach a functional consensus in the field. Collapse

Topics: data quality analytical information system database system open source Google+

Methods: literature sample structured literature research group interview literature study survey

IIoT platforms’ architectural features – a taxonomy and five prevalent archetypes

2022 | Electronic Markets | Citations: 0

Authors: Arnold, Laurin; Jöhnk, Jan; Vogt, Florian; Urbach, Nils

Abstract: In the industrial Internet of Things (IIoT), digital platforms have recently rec ... Expand

Abstract: In the industrial Internet of Things (IIoT), digital platforms have recently received significant attention. Although IIoT platforms revolve around similar business objectives, they address various 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 develop and validate a taxonomy of IIoT platforms’ architectural features based on related literature, real-world cases, and expert interviews. On this foundation, we identify and discuss five IIoT platform archetypes (Allrounder, Device Controller, Data Hub, Service Enabler, Connector). 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. Collapse

Topics: mobile system internet of things digital platform business model application programming interface

Methods: qualitative interview cluster analysis hierarchical clustering machine learning computational algorithm

Level-Up your Learning – Introducing a Framework for Gamified Educational Conversational Agents

2022 | International Conference on Business Informatics | Citations: 0

Authors: Benner, Dennis; Schöbel, Sofia; Süess, Christoph; Baechle, Vera; Janson, Andreas

Abstract: Driven by circumstances like the global pandemic many learners and educators rea ... Expand

Abstract: Driven by circumstances like the global pandemic many learners and educators realize the importance and value of self-regulated digital learning. To better support self-regulated learning, conversational agents have become more relevant. Conversational agents can act as tutor or as learning mate for learners. Although conversational agents have potential to better support self-regulated learning processes, challenges exist requiring implications about how to make these interactions more engaging and supportive. This study discusses the value of gamified conversational learning chatbots that use game elements to engage learners to guide researchers and practitioners to design conversational agents that effectively motivate learners and provide self-regulated learning at the same time. Therefore, we propose a systematically developed framework for gamifying educational conversational agents and contribute to theory by consolidating several theories about games, digital learning, and conversational agents and support practitioners by providing implications about what to care about when gamifying conversational agents. Collapse

Topics: online learning system gamification conversational agent database system IS education

Methods: structured literature research chatbot literature study design artifact literature sample

Theories: flow theory self determination theory motivation theory educational theory agency theory