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检索条件"丛书名=Lecture Notes in Business Information Processing"

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TraVaG: Differentially Private Trace Variant Generation Using GANs 17th

TraVaG: Differentially Private Trace Variant Generation Usin...

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17th International Conference on Research Challenges in information Science-RCIS-Annual

作者： Rafiei, Majid Wangelik, Frederik Pourbafrani, Mahsa van der Aalst, Wil M. P. Rhein Westfal TH Aachen Chair Proc & Data Sci Aachen Germany

ISBN: (纸本)9783031330797;9783031330803

Process mining is rapidly growing in the industry. Consequently, privacy concerns regarding sensitive and private information included in event data, used by process mining algorithms, are becoming increasingly relevant. State-of-the-art research mainly focuses on providing privacy guarantees, e.g., differential privacy, for trace variants that are used by the main process mining techniques, e.g., process discovery. However, privacy preservation techniques for releasing trace variants still do not fulfill all the requirements of industry-scale usage. Moreover, providing privacy guarantees when there exists a high rate of infrequent trace variants is still a challenge. In this paper, we introduce TraVaG as a new approach for releasing differentially private trace variants based on Generative Adversarial Networks (GANs) that provides industry-scale benefits and enhances the level of privacy guarantees when there exists a high ratio of infrequent variants. Moreover, TraVaG overcomes shortcomings of conventional privacy preservation techniques such as bounding the length of variants and introducing fake variants. Experimental results on real-life event data show that our approach outperforms state-of-the-art techniques in terms of privacy guarantees, plain data utility preservation, and result utility preservation.

关键词： Process Mining Event Data Differential Privacy GANs Machine Learning Autoencoder

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When Dashboard's Content Becomes a Barrier - Exploring the Effects of Cognitive Overloads on BI Adoption 17th

When Dashboard's Content Becomes a Barrier - Exploring the E...

引用

17th International Conference on Research Challenges in information Science-RCIS-Annual

作者： Burnay, Corentin Bouraga, Sarah Lega, Mathieu NaDI Univ Namur Rue Bruxelles 61 B-5000 Namur Belgium

ISBN: (纸本)9783031330797;9783031330803

Decision makers in organizations strive to improve the quality of their decisions. One way to improve that process is to objectify the decisions with facts. Big data, business analytics, business intelligence, and more generally data-driven Decision Support Systems (data-driven DSS) intend to achieve this. Organizations invest massively in the development of data-driven DSS and expect them to be adopted and to effectively support decision makers. This raises many technical and methodological challenges, especially regarding the design of dashboards, which can be seen as the visible tip of the data-driven DSS iceberg and which play a major role in the adoption of the entire system. This paper advances early empirical research conducted on one possible root cause for data-driven DSS dashboard adoption or rejection, namely the dashboard content. We study the effect of dashboards over- and underloading on traditional Technology Adoption Models, and try to uncover the trade-offs to which data-driven DSS interface designers are confronted when creating new dashboards. The result is a Dashboard Adoption Model, enriching the seminal TAM model with new content-oriented variables to support the design of more supportive data-driven DSS dashboards.

关键词： Decision Support Systems information Overloads Dashboards Adoption Decision Making Structural Equation Modeling

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Research on the Introduction of Private Brand for E-commerce Platform Under Mixed Channels of Manufacturer 1

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22nd Wuhan International Conference on E-business, WHICEB 2023

作者： Zhang, Honglin Ai, Shizhong Du, Rong School of Economics and Management Xidian University Xi’an710126 China

ISBN: (数字)9783031323027

ISBN: (纸本)9783031323010

With the rapid development of e-commerce and the intensified competition between platforms and that between platforms and manufacturers, private brand strategy has become the key for e-commerce platforms to gain competitive advantages. Under the premise that the manufacturer relies on the e-commerce platform to sell commodities through wholesale channel and platform channel, basic decision model (without introducing private brand) and platform introduction decision model (introducing private brand) are established. Applying backward induction to analyze the influence of channel preference, platform commission rate and the quality of private brand commodity on equilibrium profit and optimal decision, we can come to the conclusion that: (1) When consumer’s platform channel preference is high or the commission rate is high, the e-commerce platform should introduce private brand to enhance its competitiveness and increase revenue;(2) After the introduction of private brand into e-commerce platform, the wholesale price, sales price and revenue of manufacturer will be reduced;(3) After the introduction of private brand into e-commerce platform, with the improvement of the quality of private brand commodity, the revenue of e-commerce platform may decrease. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Electronic commerce

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An NLP Approach to Understand the Top Ranked Higher Education Institutions’ Social Media Communication Strategy 1

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18th International Conference on Web information Systems and Technologies, WEBIST 2022

作者： Figueira, Alvaro Nascimento, Lirielly CRACS/INESCTEC and FCUP University of Porto Porto Portugal Department of Computer Science FCUP University of Porto Porto Portugal

ISBN: (数字)9783031430886

ISBN: (纸本)9783031430879

In this paper we examine the use of social media as a marketing channel by Higher Education Institutions (HEI) and its impact on the institution's brand, attracting top professionals and students. HEIs are annually evaluated globally based on various success parameters to be published in rankings. Specifically, we analyze the Twitter publishing strategies of the selected HEIs, and we compare the results with their overall ranking positions. Our study shows that there are no significant differences between the well-known university rankings based on Kendall τ and RBO metrics. However, our data retrieval indicates a tendency for the top-ranked universities to adopt specific strategies, which are further emphasized when analyzing emotions and topics. Conversely, some universities have less prominent strategies that do not align with their ranking positions. This study provides insights into the role of social media in the marketing strategies of HEIs and its impact on their global rankings. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Commerce

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Soft Web Intelligence with the J-CO Framework 1

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18th International Conference on Web information Systems and Technologies, WEBIST 2022

作者： Fosci, Paolo Psaila, Giuseppe University of Bergamo - DIGIP Viale Marconi 5 BG Dalmine24044 Italy

ISBN: (数字)9783031430886

ISBN: (纸本)9783031430879

In the last two decades a plethora of approaches have been proposed to perform Web Intelligence to discover useful knowledge over the World-Wide Web. However, variety and vastness of the Web are still making this task a hard challenge. Nonetheless, the Web is evolving. An example is the advent of the JSON format as the practical standard for exchanging data over the Internet. In our previous work, we proposed the concept of Soft Web Intelligence: it is a modern interpretation of Web Intelligence based on the current technological panorama, in which JSON data sets can be gathered and stored within JSON document stores and processed by means of Soft Computing so as to Soft Querying them. Soft Web Intelligence is enabled by the J-CO Framework, a software tool that is natively able to manage, soft-query and transform collections of JSON documents, located either in NoSQL repositories or over the Internet. The paper illustrates our vision by presenting a plausible case study based on a weekly-updated data set that reports COVID-19 cases in European Countries. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Soft computing

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Context-Aware Digital Twins to Support Software Management at the Edge 17th

Context-Aware Digital Twins to Support Software Management a...

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17th International Conference on Research Challenges in information Science-RCIS-Annual

作者： Dautov, Rustem Song, Hui SINTEF Digital Oslo Norway

ISBN: (纸本)9783031330797;9783031330803

With millions of connected edge gateways, there is a pressing challenge of remote maintenance of containerised software components after the initial release. To support remote update operations, edge software providers have been increasingly adopting digital twin-based device management platforms for run-time monitoring and interaction. A common limitation of these solutions is the lack of support for modelling the multi-dimensional context of edge devices deployed in the field, which hinders the software management in a tailored and context-aware manner. This paper aims to address this lack of context-awareness in digital twins required for edge software assignment by introducing two modelling principles, which allow focusing on the device fleet as a whole and capturing the diverse cyber-physical-social context of individual devices. As part of proof of concept, these principles were incorporated in an existing digital twin platform. This prototype implementation demonstrates the viability of the proposed modelling principles via a running example in the context of a telemedicine application system.

关键词： Digital Twin Context Awareness Edge Computing IoT Device Fleet Eclipse Ditto Remote Patient Monitoring

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Role of Culture in Customer Acceptance of Neobanks 1

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11th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2022

作者： Meijer, Koen Abhishta, Abhishta Joosten, Reinoud University of Twente Enschede Netherlands

ISBN: (数字)9783031316715

ISBN: (纸本)9783031316708

We examine customer acceptance of neobanks across national cultures using the technology acceptance model (TAM) extended with an additional construct, i.e. trust, accounting for scepticism surrouding digital innovations. We incorporate dimensions developed by Hofstede to evaluate national cultural effects on the modified TAM. For this, we collect primary quantitative data through questionnaires obtaining a sample including many nationalities. We assess our variant of the TAM using partial least squares structural equation modelling to quantify the complex relationships with reflective constructs. We find that national cultural dimensions may not have a significant effect on the customer acceptance. Moreover, the original two independent constructs of the TAM, perceived ease of use and perceived usefulness, have a significant positive weak direct effect on acceptance. However, perceived ease of use has a significant positive strong effect on perceived usefulness and trust. Finally, the theorised trust dimension has a significant positive weak effect on both the perceived usefulness of, and the behavioural intention to use neobanks. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sales

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Investment Strategies of Digital Music Copyright in Uncertain Environment 1

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22nd Wuhan International Conference on E-business, WHICEB 2023

作者： Wang, Xixi Zhang, Nan Harbin Institute of Technology Harbin China

ISBN: (数字)9783031323027

ISBN: (纸本)9783031323010

Online contents providers such as music platforms (e.g., Netease Cloud Music, QQ Music, etc.) generally adopt the mode that free users can listen to part of the music library, and paying users can listen to all the music. This paper takes online music platform as the research subject and takes the instability of network environment and the uncertainty of digital music copyright playing effects into consideration to study the copyright investment decisions of digital assets. Firstly, this paper takes the playback effects of different levels of digital music copyright and the operation cost of online music platforms as uncertain variables, and then constructs an uncertain digital music copyright portfolio model considering the constraints of income, cost, and risk of the platform. Secondly, based on the uncertainty theory, the uncertainty model is transformed into the corresponding deterministic form. Finally, this paper calculates the optimal choice of music tracks belonging to different levels through numerical examples, verifies the effectiveness and practicability of the model and algorithm, and further explores the influence of investment preference on investment decisions. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Investments

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Monitoring Object-Centric business Processes: An Empirical Study 17th

Monitoring Object-Centric Business Processes: An Empirical S...

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17th International Conference on Research Challenges in information Science-RCIS-Annual

作者： Arnold, Lisa Breitmayer, Marius Reichert, Manfred Univ Ulm Inst Databases & Informat Syst Ulm Germany

ISBN: (纸本)9783031330797;9783031330803

Monitoring dashboards provide an appropriate way of presenting a multitude of information on running business processes to involved actors. Essential components of a monitoring dashboard are charts that visualise this information in an aggregated, intuitive and useful way. A popular representative is the Sunburst Chart, which constitutes a pie chart with several colour-coded circles that can visualise a hierarchical structure. This visualisation technique seems to be particularly suited for monitoring object-centric processes. In this paper a procedure for automatically deriving a sunburst chart from the patterns of a relational process structure, describing an object-centric process, is presented. To investigate the readability, comprehension, and general acceptance of sunburst chart in the context of a monitoring object-centric process, an empirical study with 157 participants was conducted. As key observation of this study, the majority of the participants can read and comprehend the sunburst chart very well, e.g., on average more than 90% of the multiple-choice questions were answered correctly. Overall, sunburst charts offer promising perspective for the monitoring of large object-centric process.

关键词： business process monitoring dashboard object-centric process sunburst chart empirical study

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Secure Infrastructure for Cyber-Physical Ranges 17th

Secure Infrastructure for Cyber-Physical Ranges

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17th International Conference on Research Challenges in information Science-RCIS-Annual

作者： Kampourakis, Vyron Norwegian Univ Sci & Technol Dept Informat Secur & Commun Technol N-2802 Gjovik Norway

ISBN: (纸本)9783031330797;9783031330803

Industrial systems (IS), including critical ones, swiftly move towards integrating elements of modern information Technology (IT) into their formerly air-gapped Operational Technology (OT) architectures. And, naturally, the more such systems become interconnected, the more alluring they pose to attackers. Concurrently, the twenty-four-seven availability of these systems renders it harder for defenders to promptly apply contemporary security controls. In this context, cyber ranges have emerged as a proper complementary solution for better comprehending and subsequently tackling the relevant risks without endangering the operation of the real systems. This work aspires to contribute a reference architecture for designing and developing cross-sector critical infrastructure (CI) cyber-physical ranges and security testbeds. A second key goal is to demonstrate the soundness of the proposed reference architecture through the implementation and evaluation of a number of cyber range instances specifically tailored for CIs of interest, including manufacturing, energy, and healthcare.

关键词： Industry 4.0 cyber-physical system reference architecture cyber-physical range security testbed risk assessment

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