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A Meta-model for Digital business Ecosystem Design 17th

A Meta-model for Digital Business Ecosystem Design

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Tsai, Chen Hsi Zdravkovic, Jelena Stirna, Janis Department of Computer and Systems Sciences Stockholm University Kista7003 SE-16407 Sweden

ISBN: (纸本)9783031330797

The Digital business Ecosystem (DBE) theory has evolved to facilitate the functioning of open business networks by adopting the ecosystem paradigm from nature in a shared digital environment. While it enables exhibiting diverse interests, it also places high demands on managing the DBE’s resilience. The current research lacks support for how a DBE-based business model can be integrated with its supporting information system’s data structure to enable the design and monitoring of resilience for indicating the needed adaptations caused by changes in DBE’s actors, their engagement or performance balance. We propose and instantiate a meta-model that describes the DBE’s entities relevant to its design using the CIVIS ecosystem. The meta-model provides a foundation for a modelling language for the management of the resilience of DBE. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Modeling languages

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The Effect of Visual information Complexity on Urban Mobility Intention and Behavior 17th

The Effect of Visual Information Complexity on Urban Mobil...

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Chambon, Thomas Soulat, Ulysse Lallement, Jeanne Guillaume, Jean-Loup La Rochelle University 23 Avenue Albert Einstein La Rochelle17000 France La Rochelle University 39 rue de Vaux De Foletier La Rochelle17000 France

ISBN: (纸本)9783031330797

Encouraging soft mobility practices is a central issue for the ecological transition. Green information systems and more specifically self-tracking applications are tools that can be used to raise awareness and changing behavior. Based on the theoretical framework of visual complexity, this paper examines how the level of visual complexity of a mobile application influences users’ urban mobility intentions and behaviors. We conducted two experimental studies. The first one investigated how the visual complexity of homepages affects mobility intentions with an application to measure one’s carbon footprint in a situational setting. The first result of our research is that moderate information visual complexity positively influences the acceptability of a mobile application as well as mobility intentions. A second experimental research is divided into two parts, firstly, participants responded to our questionnaire, secondly, in a longitudinal approach, 51 subjects used the application over a 3-month period. The conceptual framework was tested using regression analyses. We find that intention to change behavior influences responsible urban mobility behavior. However, our experiment shows that the visual complexity of information does not have a significant influence on behavior. We then propose theoretical implications. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Carbon footprint

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Predicting Privacy Decisions in Mobile Applications and Raising Users’ Privacy Awareness 17th

Predicting Privacy Decisions in Mobile Applications and Rais...

引用

17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Lavranou, Rena Department of Informatics Ionian University Corfu Greece

ISBN: (纸本)9783031330797

Smartphones and mobile applications are now an integral part of our daily lives. Managing mobile privacy is a challenging task, that overwhelms users with numerous and complex privacy decisions related to permission settings. Many users do not have sufficient knowledge and understanding of how applications use their personal data, and others do not spend enough time configuring these settings. Various approaches to assist users by automating their decisions have been proposed in the literature. This paper presents a literature review of the current state of knowledge in the area of permission settings and the solutions proposed by different researchers, focusing on the use of machine learning techniques. Machine learning can address the challenges of mobile privacy management by learning users' preferences and predicting their decisions based on a relatively small number of factors. We then describe our future research plans to reduce the user's burden in configuring application permissions, to increase their awareness, and to protect their privacy. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Forecasting

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What Do Users Think About Abstractions of Ontology-Driven Conceptual Models? 17th

What Do Users Think About Abstractions of Ontology-Driven C...

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Romanenko, Elena Calvanese, Diego Guizzardi, Giancarlo Free University of Bozen-Bolzano Bolzano39100 Italy Umeå University Umeå90187 Sweden University of Twente Enschede7500 Netherlands

ISBN: (纸本)9783031330797

In a previous paper, we proposed an algorithm for ontology-driven conceptual model abstractions [18]. We have implemented and tested this algorithm over a FAIR Catalog of such models represented in the OntoUML language. This provided evidence for the correctness of the algorithm’s implementation, i.e., that it correctly implements the model transformation rules prescribed by the algorithm, and its effectiveness, i.e., it is able to achieve high compression (summarization) rates over these models. However, in addition to these properties, it is fundamental to test the validity of this algorithm, i.e., that it achieves what it is intended to do, namely provide summarizing abstractions over these models whilst preserving the gist of the conceptualization being represented. We performed three user studies to evaluate the usefulness of the resulting abstractions as perceived by modelers. This paper reports on the findings of these user studies and reflects on how they can be exploited to improve the existing algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Ontology

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Using Large Language Models for the Enforcement of Consumer Rights in Germany 1

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15th PLAIS EuroSymposium on Digital Transformation, PLAIS EuroSymposium 2023

作者： Waidelich, Lukas Lambert, Marian Al-Washash, Zina Kroschwald, Steffen Schuster, Thomas Döring, Nico Pforzheim University Tiefenbronner Str. 65 Pforzheim75175 Germany XPACE GmbH Blücherstr. 32 Pforzheim75177 Germany

ISBN: (数字)9783031435904

ISBN: (纸本)9783031435898

In European competition law, consumer protection agencies and competition authorities play a crucial role in ensuring fair competition. When a violation is identified by these institutions, they typically obtain a cease-and-desist declaration to ensure compliance with applicable laws. However, the manual verification of compliance is a time-consuming task, which poses a risk of companies continuing to engage in unlawful practices to the detriment of consumers. We propose a technology-enhanced solution to address this issue. Artificial Intelligence emerges as a transformative solution and Large Language Models now provide the potential for automation, replacing the need for manual completion of such tedious compliance checks. In our project KIVEDU, we aim to design an AI-based system that automates the enforcement of consumer rights. In this article, we present an overview of the current state of research, the planned project, the challenges we expect to encounter, and our initial results as well as planned next steps. With this work, our goal is to contribute to the enforcement of European consumer protection law, foster fair competition, and strengthen consumer rights. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Consumer protection

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A General Framework for Blockchain Data Analysis 17th

A General Framework for Blockchain Data Analysis

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Luu, Anh Trinh, Tuan-Dat Nguyen, Van-Thanh Hanoi University of Science and Technology Hanoi Viet Nam

ISBN: (纸本)9783031330797

Blockchain is a foundational technology that allows application paradigms to shift from trusting humans to trusting machines and from centralized to decentralized control. Along with its explosive growth, blockchain data analysis is getting increasingly important for both scientific research and commercial applications. The current blockchain analysis systems and frameworks have limitations and weaknesses;they have excessively focused on Bitcoin and a small set of features. This paper presents a framework for blockchain data analysis. The framework is general and can be applied to a wide range of data analyses. Our main contributions are as follows: (i) we formulate the requirements of the framework;(ii) we present the detailed design of the framework with multiple components to collect, extract, enrich, store, and do further processing with blockchain data;(iii) we implement the framework and evaluate its performance in a specific use case that analyzes token-transferring transactions. We also discuss the potential of the framework for a number of blockchain data analyses. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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DECENT: A Domain Specific Language to Design Governance Decisions 17th

DECENT: A Domain Specific Language to Design Governance Deci...

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Kaya, Fadime Perez, Francisco Dekker, Joris Gordijn, Jaap Vrije Universiteit Amsterdam Netherlands Universidad Rey Juan Carlos Madrid Spain ABN AMRO Commercial Bank Amsterdam Netherlands

ISBN: (纸本)9783031330797

Decentralized ecosystems, such as the Bitcoin, claim to be decentralized to avoid power concentrations such as commercial banks. This is perhaps true for their operations, but often not the case for their governance, which is about deciding the rules of monitoring and controlling protocols. In previous work, we have developed DECENT a domain specific language (DSL) to conceptualize the domain of decentralized governance design. In this paper, we focus on deriving governance design decisions based on the DECENT language. We do so by taking the case of Fractional Reserve Banking (FRB), which is about governance rules for commercial banks to create and destroy money. As many banks are licensed to do FRB, under the control of national central banks and the European Central Bank (ECB), this is already a case of a decentralized ecosystem. The governance design decisions are developed in close cooperation with our case study partner, a commercial bank. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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The Omnipresent Role of Technology in Social-Ecological Systems: Ontological Discussion and Updated Integrated Framework 17th

The Omnipresent Role of Technology in Social-Ecological Sy...

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Adamo, Greta Willis, Max BC3 - Basque Centre for Climate Change Leioa Spain

ISBN: (纸本)9783031330797

Technology-driven development is one of the main causes of the triple planetary crises of climate change, biodiversity loss and pollution, yet it is also an important factor in the potential mitigation of and adaptation to these crises. In spite of its omnipresence, technology is often overlooked in the discourses of social and environmental sustainability, while in practice sustainability initiatives often draw criticism for favouring technical solutions or oversimplifying the relationships between society, environment and technology. This article extends our RCIS 2022 publication "Conceptual integration for social-ecological systems: an ontological approach" with an ontological examination of technology in two prominent social-ecological systems paradigms, social-ecological system framework (SESF) and ecosystem services (ESs) cascade. We ground the ontological analysis of technology on analytical and postphenomenlogical philosophical literature and effect several re-designs to the initially proposed integrated framework. The main aim of this work is to provide a clearer and theoretically founded semantics of technology within SESF and ESs to improve knowledge representation and facilitate comparability of results in support of decision-making for sustainability. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Knowledge representation

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Data-Driven Analysis of Batch processing Inefficiencies in business Processes 16th

Data-Driven Analysis of Batch Processing Inefficiencies in B...

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16th International Conference on Research Challenges in information Sciences (RCIS)

作者： Lashkevich, Katsiaryna Milani, Fredrik Chapela-Campa, David Dumas, Marlon Univ Tartu Narva Mnt 18 EE-51009 Tartu Estonia

ISBN: (纸本)9783031057601;9783031057595

Batch processing reduces processing time in a business process at the expense of increasing waiting time. If this trade-off between processing and waiting time is not analyzed, batch processing can, over time, evolve into a source of waste in a business process. Therefore, it is valuable to analyze batch processing activities to identify waiting time wastes. Identifying and analyzing such wastes present the analyst with improvement opportunities that, if addressed, can improve the cycle time efficiency (CTE) of a business process. In this paper, we propose an approach that, given a process execution event log, (1) identifies batch processing activities, (2) analyzes their inefficiencies caused by different types of waiting times to provide analysts with information on how to improve batch processing activities. More specifically, we conceptualize different waiting times caused by batch processing patterns and identify improvement opportunities based on the impact of each waiting time type on the CTE. Finally, we demonstrate the applicability of our approach to a real-life event log.

关键词： Process mining Batch processing Cycle time efficiency

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Towards Reliable Results - A Comparative Analysis of Selected MCDA Techniques in the Camera Selection Problem 16th

Towards Reliable Results - A Comparative Analysis of Selecte...

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16th Conference on information Systems Management (ISM) / Advances in information Systems and Technologies Conference Track (FedCSIS-AIST) Held as Part of 16th Conference on Computer Science and Intelligence Systems (FedCSIS)

作者： Baczkiewicz, Aleksandra Watrobski, Jaroslaw Kizielewicz, Bartlomiej Salabun, Wojciech Univ Szczecin Szczecin Poland West Pomeranian Univ Technol Szczecin Szczecin Poland

ISBN: (纸本)9783030989972;9783030989965

Objective evaluation in real-life decision problems requiring considering many contrasting criteria is quite a challenge for the decision-maker. This paper presents an approach employing several MCDA methods to objectify the multi-criteria assessment procedure in the camera selection problem. The proposed approach includes a comparative analysis of four MCDA methods, namely the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE II), the Multi-Attributive Border Approximation area Comparison method (MABAC), the Evaluation based on Distance from Average Solution method (EDAS) and the Multi-Objective Optimization Method by Ratio Analysis method (MOORA), applied with two objective criterion weighting methods. The similarity of the rankings provided by the employed MCDA methods was determined using two ranking correlation coefficients. In addition, a compromise ranking strategy called the Dominance-Directed Graph was applied to obtain a single reliable ranking. The performed research confirmed the significance of the appropriate selection of multi-criteria decision-making methods for the solved problem and the relevance of benchmarking in method selection and construction of objective rankings of alternatives.

关键词： MCDA evaluation Objective weighting methods Compromise ranking

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