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

共 8590 条记录，以下是1-10 订阅

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Towards a Digital Twin System for Human Crowd Motion Prediction 2nd

Towards a Digital Twin System for Human Crowd Motion Predict...

引用

28th International Conference on Enterprise Design Operations and Computing

作者： Alba, Ignacio Troya, Javier Canal, Carlos Univ Malaga ITIS Software Malaga Spain

ISBN: (纸本)9783031790584;9783031790591

In many local festivals and in events such as pop concerts or sporting events, crowds might generate dangerous situations like the case of panic stampedes. How to anticipate these situations is challenging. Despite there are simulation models of people motion, it is very difficult to predict real people behavior. In this paper, we advocate the application of digital twins to monitor and analyze real people motion. We implement the Artax framework, which stores people movements as traces through time. We describe the current state of our framework and explain how we aim to apply it for anticipating dangerous situations caused by crowds and warning people.

关键词： Digital Twin Smart Cities Human Motion

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Spotting the Weasel at Work: Mining Inappropriate Behavior Patterns in Event Logs 2nd

Spotting the Weasel at Work: Mining Inappropriate Behavior P...

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28th International Conference on Enterprise Design Operations and Computing

作者： Bala, Saimir Jacobowitz, Tim Mendling, Jan Humboldt Univ Inst Informat Berlin Germany Weizenbaum Inst Secur & Transparency Proc Berlin Germany

ISBN: (纸本)9783031790584;9783031790591

Diverging interests in the workplace may lead to undesirable employee behavior such as taking undue credit, underperforming, shirking responsibilities, and undermining colleagues. This kind of conduct, also referred to as weasel behavior, can have significant negative implications for both individuals and the organization as a whole. Therefore, its identification is of crucial importance. Recent work in process science has defined thirteen weasel behavior patterns and proposed the use of process mining related techniques to uncover them from the traces recorded by information systems. However, these definitions have not yet been tested on any event log. This paper aims at closing this gap by providing the design specifications and algorithms necessary to extract weasel behavior from event logs. We evaluate our implementation on the real-world logs provided by the IEEE Task Force on Process Mining and report the extent of weasel behavior present in each dataset. Our results have relevant implications on the application and development of resource-centered process analysis techniques and contribute to better understanding the information present in the widely-used BPI logs.

关键词： event log resource analysis process mining behavioral process mining

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A Digital Process Twin Conceptual Architecture for What-If Process Analysis 2nd

A Digital Process Twin Conceptual Architecture for What-If P...

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28th International Conference on Enterprise Design Operations and Computing

作者： Compagnucci, Ivan Re, Barbara Asensio, Estefania Serral Snoeck, Monique Gran Sasso Sci Inst Laquila Italy Univ Camerino Comp Sci Div Camerino Italy Katholieke Univ Leuven Fac Econ & Business Leuven Belgium

ISBN: (纸本)9783031790584;9783031790591

business processes require continuous changes or interventions to remain efficient and competitive over time. However, implementing these changes-such as reordering or adding new tasks- can negatively affect the overall process performance. A longstanding problem in business Process Management is that of forecasting ex-ante the values that process performance measures will assume after implementing changes. To achieve this, the concept of Digital Process Twins, which extends the well-established Digital Twin paradigm, paves the way for new interesting opportunities. Digital Process Twins enable enhanced what-if analysis by virtually predicting process performance under various changes, thus allowing for informed decision-making before actuating process changes in the real world. However, despite recognition as one of the new key enablers of modern process re-engineerization, a comprehensive approach to implementing Digital Process Twins is still lacking. This paper proposes a novel conceptual architecture for deploying Digital Process Twins to address this gap. Additionally, we introduce Dolly, a framework that implements such conceptual architecture using a multi-modeling approach combining domain data and process modeling along with a data-driven process simulation technique.

关键词： business Process Digital Process Twin Internet of Things

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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...

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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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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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From IoT Event Logs to Human Routines via Community Detection Algorithms 22nd

From IoT Event Logs to Human Routines via Community Detectio...

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22nd International Conference on business Process Management (BPM)

作者： De Donato, Massimo Callisto Fornari, Fabrizio Armas-Cervantes, Abel Univ Camerino I-62032 Camerino MC Italy Univ Melbourne Melbourne Vic 3010 Australia

ISBN: (纸本)9783031786655;9783031786662

In our everyday lives, we are exposed to IoT devices that sense the environment and produce raw events. Especially, in smart home scenarios such raw events can be used to detect and monitor human activities and behaviors. This could be of a great help in context that involve fragile people such as elderly or patients, to monitor their condition and support their daily life activities. With our contribution we aim at defining an approach that can be applied on smart-home IoT event logs and support the discovery and monitoring of human routines. In this work we present our approach that relies on the application of community detection algorithms for the discovery of the routines and the adoption of process mining techniques for their inspection. Especially, we report on a first implementation and validation of the approach with respect to a well known IoT event log.

关键词： Human Routines IoT Event Log Approach Community Detection Process Mining

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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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Diversity and Inclusion in HR Processes in Financial Sector 22nd

Diversity and Inclusion in HR Processes in Financial Sector

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22nd International Conference on business Process Management (BPM)

作者： Bialas, Sylwia Wrobel, Piotr Univ Gdansk Armii Krajowej 101 PL-81824 Sopot Poland

ISBN: (纸本)9783031786655;9783031786662

The aim of the study was to identify best practices for incorporating Diversity, Equity, and Inclusion (DEI) in HR processes within the financial sector. The study reviewed 101 best practices for integrating DEI into HR processes within 20 financial sector entities in Poland. Significant potential for DEI implementation was found in HR processes such as communication, employee development and succession, recruitment and selection, compensation and benefits, readaptation. Practices used by banks in Poland primarily target gender diversity, reflecting trends observed in other countries. Age diversity practices are gaining importance due to demographic changes, with future focus expected on intergenerational cooperation and meeting the needs of different generations. Other dimensions, such as disability, neurodiversity, and LGBT+ inclusion, are less addressed but are anticipated to grow in prominence due to demographic shifts and technological advancements. The results of the study may serve as an inspiration for redesigning HR processes in the financial sector and other industries, aiming to create an inclusive work environment.

关键词： Diversity Equity and Inclusion (DEI) Diverse Workforce Inclusive Workplaces

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

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

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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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