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

共 8647 条记录，以下是21-30 订阅

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Efficient LLM-Based Conversational Process Modeling 22nd

Efficient LLM-Based Conversational Process Modeling

引用

22nd International Conference on business Process Management (BPM)

作者： Koepke, Julius Safan, Aya Univ Klagenfurt Dept Informat Syst Klagenfurt Austria

ISBN: (纸本)9783031786655;9783031786662

Since the introduction of OpenAI's ChatGPT, the underlying technology of generative AI and large language models (LLMs) has gained tremendous interest in academia. Researchers began experimenting with LLMs' capabilities in various domains, including business process modeling. While these works indicate a promising potential of LLMs for this task, they do not consider the number of tokens of the prompting strategies and output formats. However, the token amount is the number one cost driver for LLM-based process modeling. In addition, an efficient representation of the conversation state has not been addressed so far. This paper addresses these concerns and introduces and evaluates an approach for efficient LLM-based conversational process modeling. We have implemented our approach as a publicly available online tool. In our experiments, we observed average input token reductions of 94% compared to an existing tool while maintaining even better levels of correctness. Furthermore, a user study at a public science fair indicates solid numbers for the tool's usefulness.

关键词： Large Language Models LLM Conversational Process Modeling

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

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

引用

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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Bridging Domain Knowledge and Process Discovery Using Large Language Models 22nd

Bridging Domain Knowledge and Process Discovery Using Large ...

引用

22nd International Conference on business Process Management (BPM)

作者： Norouzifar, Ali Kourani, Humam Dees, Marcus van der Aalst, Wil M. P. RWTH Univ Aachen Germany Fraunhofer FIT St Augustin Germany UWV Employee Insurance Agcy Amsterdam Netherlands

ISBN: (纸本)9783031786655;9783031786662

Discovering good process models is essential for different process analysis tasks such as conformance checking and process improvements. Automated process discovery methods often overlook valuable domain knowledge. This knowledge, including insights from domain experts and detailed process documentation, remains largely untapped during process discovery. This paper leverages Large Language Models (LLMs) to integrate such knowledge directly into process discovery. We use rules derived from LLMs to guide model construction, ensuring alignment with both domain knowledge and actual process executions. By integrating LLMs, we create a bridge between process knowledge expressed in natural language and the discovery of robust process models, advancing process discovery methodologies significantly. To showcase the usability of our framework, we conducted a case study with the UWV employee insurance agency, demonstrating its practical benefits and effectiveness.

关键词： Process Mining Process Discovery Process Knowledge Large Language Models

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The Simplified Platform, Cases 2024 2nd

The Simplified Platform, Cases 2024

引用

28th International Conference on Enterprise Design Operations and Computing

作者： Mulder, Mark A. T. Mulder, Rick TEEC2 Hoevelaken Netherlands

ISBN: (纸本)9783031790584;9783031790591

The Simplified platform is the web-based approach to modelling and meta-modelling. This platform started from the experience with a previous research tool for modelling Design and Engineering Methodology for Organisations (DEMO) and has increased the available notations to OntoUML and ArchiMate. The cloud-based platform's extension ability makes it suitable for research and business applications. The platform's configurable notations, flexible user interface, and real-time transformation, verification, and visualisations make it adaptable and understandable for every stakeholder. This update paper will list the current state of the simplified platform.

关键词： Modelling Meta-modelling Collaboration Enterprise Engineering

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Exploring Perceptions of Blockchain in Cross-Border Workforce Mobility 1

引用

15th International Conference on Software business-ICSOB-Annual

作者： Gurzhii, Anastasiia Haque, A. K. M. Bahalul Naqvi, Bilal Vuolasto, Jaakko Parkkila, Janne Islam, A. K. M. Najmul LUT Univ Lappeenranta 53850 Finland

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

While most research focuses on the technical side of blockchain-based solutions, empirical studies with HR professionals and the workforce on verification processes remain limited. This paper aims to resolve these gaps, exploring the issues and processes that need to be considered before utilizing blockchain solutions in recruiting. We collected data using 13 semi-structured interviews among experts who are involved in the applicants' credentials verification process and 1 workshop among applicants. We analyzed the data from interviews using the content analysis approach, focusing on 3 themes, namely key motivators, challenges faced and proposed solutions. These were then validated and expanded during a workshop. Based on the collected data we provide essential design requirements for future systems and align them to all stakeholders involved in the process (individuals, certificate issuers and HR department). Our study extends prior research on blockchain-based verification systems, enhancing collaboration between recruiters and applicants.

关键词： blockchain credential verification recruitment design requirements

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business in the Age of Platform Economics: Managing Decentralised business Processes Beyond Blockchain 22nd

Business in the Age of Platform Economics: Managing Decentra...

引用

22nd International Conference on business Process Management (BPM)

作者： Stiehle, Fabian Klessascheck, Finn Kjaeer, Martin Weber, Ingo Tech Univ Munich Sch CIT Munich Germany Weizenbaum Inst Networked Soc Berlin Germany TU Wien Vienna Austria Fraunhofer Gesell Munich Germany

ISBN: (纸本)9783031786655;9783031786662

The promise of an internet-based 'sharing economy' stands corrected by the reality of a 'platform economy' under the control of a few central proprietary markets. With increasing awareness of the many downsides of these oligopolistic markets, regulatory policies like the EU Digital Markets Act (DMA) have been enacted, while in research and practice, the term 'decentralisation' gained renewed interest. However, as we argue in this problem statement, decentralisation is often confused as an aim, while in reality it encompasses many different (often opposing) drivers and principles to achieve certain aims. In order to stimulate discussion, we discuss decentralisation referencing a multi-disciplinary perspective and exemplary projects in practice. We ask how profitable and sustainable business models can be created in the age of platform economics. We claim that, to reap the many proclaimed benefits of platforms, while managing and preventing its many centralistic downsides, an approach integrating technical and organisational capabilities is needed. We see business Process Management (BPM) ideally positioned to be at the forefront of such a movement. With this contribution, we hope to stimulate discussion within the BPM community. Further, we see opportunity even beyond BPM. We draw comparisons to privacy engineering, which emerged as a discipline to operationalise the abstract notion of privacy.

关键词： Platform Economy Decentralisation Blockchain business Process Management

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Professionals' Opinions on the Use of AI Software for HRM 1

引用

15th International Conference on Software business-ICSOB-Annual

作者： Azad, Nasreen Hina, Maryam Islam, Najmul LUT Univ Lappeenranta Finland

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

This study explores how Artificial Intelligence (AI) is changing recruitment practices and the skills recruiters need to succeed in AI-driven environment. We conducted a survey using open-ended questions and received responses from 32 professionals. The goal was to understand how AI is influencing the roles and responsibilities of recruiters. The findings highlight the importance of efficiency, bias reduction, learning and improvement, speed and consistency, and data- driven insights in promoting effective collaboration between humans and AI in recruitment. This insight has valuable implications for understanding the impact of AI on recruitment and the essential skills recruiters need to understand and adapt to AI-driven processes.

关键词： Artificial Intelligence Recruitment Human Resource Management

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Five Darlings to Be Killed: Debunking Myths About Innovation in the Software-Intensive Embedded Systems Industry 1

引用

15th International Conference on Software business-ICSOB-Annual

作者： Olsson, Helena Holmstrom Bosch, Jan Malmo Univ Malmo Sweden Chalmers Univ Technol Gothenburg Sweden

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

Companies need to continuously innovate to stay competitive. For every innovation, there needs to be a customer, a way to monetize and a way to validate that what is developed adds value to the customer. With digitalization, however, the approach to innovation needs to change. Instead of technology-driven approaches, companies need to adopt more customer-driven approaches to innovation. In this context, we see that companies in the software-intensive embedded systems industry adopt practices that originate in the Software-as-a-Service (SaaS) domain. This has proven to be far from trivial, and these practices tend to be associated with several myths in the software-intensive embedded systems industry. In this paper, we present multi-case study research in which we identify five myths that permeate software-intensive embedded systems companies and that have become the typical representation of how these companies work, how they interact with customers and how they do business. We explore these myths referring to them as "five darlings to be killed", and we detail what the myth is about, why it is incorrect and what happens in companies instead.

关键词： Software-intensive systems Myths Minimal Viable Product Friendly customer New business Agile ways-of-working New business model

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Machinery Activity Recognition in the Industry Based on Heterogeneous Data 22nd

Machinery Activity Recognition in the Industry Based on Hete...

引用

22nd International Conference on business Process Management (BPM)

作者： Podobinska-Staniec, Marta Kesek, Marek Brzychczy, Edyta AGH Univ Krakow Fac Civil Engn & Resource Management Krakow Poland AGH Univ Krakow Fac Mech Engn & Robot Krakow Poland

ISBN: (纸本)9783031786655;9783031786662

Nowadays, machinery is getting much more complex and equipped with various sensors providing data about actual process execution. One of the directions of machinery data usage is activity recognition, which can be used in process modeling and analysis, enabling process improvements. We aimed to summarize machinery activity recognition (MAR) implementations in the industry. We formulated four research questions concerning MAR applications in the industrial domains, data sources, analytic approaches, and techniques. We carried out a Systematic Literature Review based on renowned publication databases. We started with 812 papers from Scopus and ISI Web of Science, and after detailed analysis, we finally ended with 29 papers used for data extraction. We discovered that the MAR is a relatively common data-oriented task in the construction industry and can also be noticed in other domains like mining, logistics, and medicine, proving that this kind of analytics has wide applications. Due to the nature of MAR, many papers present a supervised approach with various classifiers, among them, one can find neural networks as the most popular and effective techniques.

关键词： Activity Recognition Machinery Sensor data Process analysis

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First Insights into the Impact of Concept Drift on Process Complexity 22nd

First Insights into the Impact of Concept Drift on Process C...

引用

22nd International Conference on business Process Management (BPM)

作者： Vidgof, Maxim Vienna Univ Econ & Business Welthandelspl 1 A-1020 Vienna Austria

ISBN: (纸本)9783031786655;9783031786662

Process mining is concerned with extracting knowledge about business processes based on digital traces left during their execution. Most existing process mining methods are focused on stable processes. However, processes tend to change over time in response to changing regulations or market conditions but also due to internal dynamics. Concept drift is a phenomenon in process mining when a process changes during the timeframe when it is analyzed. Following the change in how a process is executed, process complexity also changes over time. Despite this apparent connection, the relationship between these concepts have not been explicitly studied. In this paper, some theoretical considerations on how concept drift can be reflected in process complexity are presented. These considerations are then evaluated using artificial and real-life event logs. The results support the considerations and invite a multitude of questions for future research.

关键词： Process complexity Concept drift Process mining

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