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检索条件"丛书名=Lecture Notes in Business Information Processing 252"

共 8646 条记录，以下是11-20 订阅

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The Role of Trust in AI-Augmented business Process Management Systems 22nd

The Role of Trust in AI-Augmented Business Process Managemen...

引用

22nd International Conference on business Process Management (BPM)

作者： Acitelli, Giacomo Agostinelli, Simone Casciani, Angelo Marrella, Andrea Sapienza Univ Roma Rome Italy

ISBN: (纸本)9783031786655;9783031786662

The significant impact of Artificial Intelligence (AI) on academia, industry, and government has led to a strong focus on the realization of trustworthy AI systems. Among them, there is an emerging class of process-aware information systems infused with AI, called AI-Augmented business Process Management Systems (ABPMSs), which autonomously unfold and adapt the execution flow of business processes (BPs) through continuous conversation with their human principals, who oversee the system decision. While much research on trustworthy AI has been conducted on devising general-purpose trust recommendations, in this paper we take a first step toward exploring the role of trust to develop trustworthy ABPMSs. Specifically, we assess a relevant subset of trustworthy AI principles against the lifecycle stages of an ABPMS, thus providing a classification framework that identifies to which principles the ABPMS stages should conform. Then, we test the applicability of our framework on a real-world healthcare BP, and we evaluate its reliability through a user study involving 15 academics at the intersection of AI and BPM. The results show a promising consensus that our framework reasonably aligns trustworthy AI principles with the ABPMS stages.

关键词： Administrative data processing

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Towards a Data Mesh Reference Architecture 2nd

Towards a Data Mesh Reference Architecture

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28th International Conference on Enterprise Design Operations and Computing

作者： van der Werf, Daniel Moreira, Joao Piest, Jean Paul Sebastian Univ Twente Enschede Netherlands

ISBN: (纸本)9783031790584;9783031790591

The increasing complexity and volume of organizational data have led to the emergence of the Data Mesh paradigm, a data architecture with a federated governance aimed at addressing the limitations of traditional monolithic data systems that has overlapping principles with the microservices architectural style. Although related work exists, the majority of architectural approaches regarding Data Mesh are conceptual, technology-centric or vendor specific. This paper introduces a Data Mesh Reference Architecture (RA) using the ArchiMate enterprise architecture modeling language, designed to assist organizations in implementing (or migrating towards) data mesh solutions. The RA comprises three main components: domain architecture, self-serve data platform architecture, and federated governance, which reflect the main Data Mesh principles. Through a systematic literature review, four data mesh archetypes (Pure, Semi-Pure, Hybrid, and Distributed) were identified, along with challenges, limitations, and motivational factors for adoption. A questionnaire-based validation among experts confirmed the RA's utility, quality, and variability. However, practical validation was not conducted within this study. The study contributes to both literature and practice by offering a structured approach and a set of reference models for designing data mesh architectures. Future research can contribute to practical validation, assessment of RA-driven design efficiency, and extending the RA with domain-driven solution architectures.

关键词： Data Mesh Reference Architecture Data Architecture Data Mesh Archetype ArchiMate

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A Web-Based Modelling Tool for Object-Centric business Processes 2nd

A Web-Based Modelling Tool for Object-Centric Business Proce...

引用

28th International Conference on Enterprise Design Operations and Computing

作者： Arnold, Lisa Breitmayer, Marius Reichert, Manfred Ulm Univ Inst Databases & Informat Syst James Franck Ring 1 D-89081 Ulm Germany

ISBN: (纸本)9783031790584;9783031790591

business processes have the potential to enhance efficiency, flexibility, productivity and revenue by, for example, automating. They can automate routine procedures thereby reducing costs of a process. In recent years, a plethora of frameworks have been developed that facilitate the modelling of activity-centric business processes. Nevertheless, there is a paucity of frameworks that concentrate on object-centric or data-driven business processes. Furthermore, the majority of commercially available business process tools provide local applications and only a limited number leveraging the benefits of a web-based environment. This demonstration paper presents the implementation of a web-based modelling environment that implements the object-centric business process management approach: PHILharmonicFlows. The implementation is a redesigned and enhanced web-based edition of the original, locally developed prototype. Moreover, the web-based framework incorporates additional features, including sophisticated verification algorithms, measurement metrics for the monitoring component, a more user-friendly graphical user interface (GUI), and functions that enable the modelling of a business process in greater detail than the original prototype, by setting constraints.

关键词： business process modelling tool object-centric BPM web-based business process management graphical user interface

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Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction? 22nd

Straight Outta Logs: Can Large Language Models Overcome Prep...

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22nd International Conference on business Process Management (BPM)

作者： Brennig, Katharina Kaltenpoth, Sascha Mueller, Oliver Paderborn Univ Fac Business Adm & Econ Warburger Str 100 D-33098 Paderborn Germany

ISBN: (纸本)9783031786655;9783031786662

Predictive process monitoring (PPM) aims to predict the future behavior of process instances to mitigate process violations or take preventive measures. Current PPM methods for next event prediction (NEP) often utilize machine learning techniques, while first approaches also use deep learning techniques, especially natural language processing (NLP). Hence, these approaches often require extensive data preprocessing. To counteract this, we train and evaluate a fine-tuned large language model (LLM) to directly generate NEPs from XES-formatted event logs without any preprocessing. The results suggest that the proposed PPM approach performs comparably to the state-of-the-art in ML-based PPM, while contributing a simplified prediction process for NEP with minimal data preprocessing. Additionally, our LLM-driven approach produces valid XES outputs in nearly all cases, facilitating the direct export of predictions as event logs to be processed downstream (e.g., to employ process mining techniques or simulation). Further, our method offers easy integration into existing organizational infrastructures.

关键词： Predictive Process Monitoring Next Event Prediction Natural Language processing Large Language Models

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business Value of Process Mining: A Contingency Perspective 22nd

Business Value of Process Mining: A Contingency Perspective

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22nd International Conference on business Process Management (BPM)

作者： Hijriani, Astria Comuzzi, Marco Ulsan Natl Inst Sci & Technol Ulsan South Korea Univ Lampung Bandar Lampung Indonesia

ISBN: (纸本)9783031786655;9783031786662

This short paper introduces our ongoing research on the value conversion contingencies of process mining. We believe that this novel perspective on process mining business value complements the existing literature, which is mostly focused on critical success factors and affordances of process mining. We delineate the theoretical background of our proposed framework and briefly discuss the methods that we have chosen to achieve our intended goals.

关键词： business value process mining contingency theory

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Digital Sovereignty: Affordances in Open Source Projects 1

引用

15th International Conference on Software business-ICSOB-Annual

作者： Klare, Martha Lechner, Ulrike Univ Bundeswehr Munchen D-85579 Neubiberg Germany

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

Digital Sovereignty as a strategic concept encompasses equity and sustainability. We explore affordances in Open Source projects that have been initiated to achieve more Digital Sovereignty. Open Source has the potential to be central for Digital Sovereignty. Our primary data set include online interviews with project teams and literature in the context of Digital Sovereignty from 2013 to 2024. By evaluating the project outputs based on affordance theory, we identify digital and economical offerings. The analysis of the impact of these offerings on the projects forms the basis for formulating measures to improve sustainable actions through Digital Sovereignty. With this work we provide a better understanding of IT-enabled organizational change and the types of affordances that are required in Digital Sovereignty transformations.

关键词： Digital Sovereignty Open Source Affordance Theory

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Non-visual Process Models: How Do Blind and Low-Vision Users Model business Processes? 22nd

Non-visual Process Models: How Do Blind and Low-Vision Users...

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22nd International Conference on business Process Management (BPM)

作者： Baumann, Lisa Seidel, Anjo Weske, Mathias Tech Univ Munich Arcisstr 21 D-80333 Munich Germany Univ Potsdam Hasso Plattner Inst Prof Dr Helmert Str 2-3 D-14482 Potsdam Germany

ISBN: (纸本)9783031786655;9783031786662

business processes are typically represented with graphical models. This can make engaging with them a challenge for people with visual disabilities. It is unclear whether existing tools are used by and meet the requirements of those users. In general, little research has focused on making business process models more accessible. Based on this observation, this study explores how blind and low-vision users currently understand and model business processes. Utilising a Grounded Theory methodology, we analyse qualitative data obtained from interviews at German educational institutions where business process modelling is taught to blind and low-vision students. The empirical results give insights into process modelling tools used in practice, their limitations, and how collaborative process modelling can become more inclusive. We find that textual, tactile but also visual models are in use. While there are common challenges, blind and low-vision users have individual preferences and strengths and, therefore, require a diversity of approaches beyond visual modelling to understand and create business process models.

关键词： business Process Management business Process Modelling Accessibility Inclusion Visual Disabilities

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How Can We Develop Inclusive business Process Management? 22nd

How Can We Develop Inclusive Business Process Management?

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22nd International Conference on business Process Management (BPM)

作者： Mahendrawathi, E. R. Inst Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9783031786655;9783031786662

Diversity and inclusion are fundamental principles within the Sustainable Development Goals (SDGs). While the BPM discipline has grown to tackle more contemporary issues, diversity and inclusion remain understudied. This problem statement paper aims to trigger the BPM community to think about developing more inclusive BPM. This paper first introduced a definition of inclusive BPM. Then, areas for further studies on developing inclusive BPM are proposed with several examples in the context of Indonesia.

关键词： Inclusive Inclusive BPM Sustainable Development Goals

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The Use of Generative AI Tools in the Inception Stage of Software Startups 1

引用

15th International Conference on Software business-ICSOB-Annual

作者： Triando Simaremare, Mario Wang, Xiaofeng Prasad, Akshy Sripad Raghavendra Free Univ Bozen Bolzano Bolzano Italy Blekinge Inst Technol Dept Software Engn Karlskrona Sweden

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

Generative Artificial Intelligence (GenAI) is disrupting numerous fields of human endeavors, including software startups. While GenAI tools hold the promise of accelerating innovation, improving product quality, and enhancing decision-making, software startups during their inception stage, a phase characterized by high uncertainty and limited resources, may face significant challenges in using these technologies. However, understanding the opportunities and challenges that GenAI brings to software startups is scarce due to the nascent nature of GenAI tools. Our study aims to provide an initial understanding of the intriguing research phenomenon of GenAI application in early-stage software startups. An action case study approach is employed in our study. We examined two software startups within a university setting, focusing on how these teams utilized GenAI tools in the inception stage. The findings revealed 11 opportunities and 10 challenges of using GenAI tools in the inception stage. Novel findings in the startup context include opportunities like brand identity development, generating landing pages, simulating customer feedback, and validating MVP. In contrast, challenges include a function-oriented rather than problem-oriented and a tendency to please rather than provide critical feedback. The findings suggest that while GenAI tools offer valuable benefits for startups, successful adoption requires careful consideration of technical and non-technical factors. This research opens avenues for future studies on integrating GenAI in early-stage software startups.

关键词： Software Startup Inception Stage Generative AI Action Case Study

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LLM-Based Event Abstraction and Integration for IoT-Sourced Logs 22nd

LLM-Based Event Abstraction and Integration for IoT-Sourced ...

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22nd International Conference on business Process Management (BPM)

作者： Shirali, Mohsen Sani, Mohammadreza Fani Ahmadi, Zahra Serral, Estefania Katholieke Univ Leuven Res Ctr Informat Syst Engn LIRIS Warmoesberg 26 B-1000 Brussels Belgium Shahid Beheshti Univ Dept Comp Sci & Engn Tehran Iran Microsoft Dev Ctr Copenhagen Copenhagen Denmark

ISBN: (纸本)9783031786655;9783031786662

The continuous flow of data collected by Internet of Things (IoT) devices, has revolutionised our ability to understand and interact with the world across various applications. However, this data must be prepared and transformed into event data before analysis can begin. In this paper, we shed light on the potential of leveraging Large Language Models (LLMs) in event abstraction and integration. Our approach aims to create event records from raw sensor readings and merge the logs from multiple IoT sources into a single event log suitable for further Process Mining applications. We demonstrate the capabilities of LLMs in event abstraction considering a case study for IoT application in elderly care and longitudinal health monitoring. The results, showing on average an accuracy of 90% in detecting high-level activities. These results highlight LLMs' promising potential in addressing event abstraction and integration challenges, effectively bridging the existing gap.

关键词： Internet of Things Large Language Models Event Abstraction Log Integration Multi-modality

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