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

共 8596 条记录，以下是401-410 订阅

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On the Transition from Traditional Retail to Cloud-Supported E-Commerce: A Design Science Project 25th

On the Transition from Traditional Retail to Cloud-Supported...

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25th International Conference on Enterprise information Systems (ICEIS)

作者： Daase, Christian Volk, Matthias Staegemann, Daniel Turowski, Klaus Otto Von Guericke Univ Inst Tech & Business Informat Syst Magdeburg Germany

ISBN: (纸本)9783031647543;9783031647550

Modern retail is evolving from physical locations where customers are consulted and provided with goods to digitized multi-channel experiences with a variety of compelling features for a new, digitally educated generation of consumers. This study examines current developments and trends, as well as potential challenges retailers face as they leap into this new era. Based on established guidelines from the field of design science research, a systematic literature review is conducted to extract profound theoretical knowledge on the subject under investigation from the existing literature as well as to transfer this knowledge into the practical design of an exemplary prototype for a modern e-commerce platform. The results show that significant changes occur mainly in four areas: marketing and customer engagement, store management and representation, prediction and forecasting, and product assessment and shopping experience. Google Cloud is selected and justified as a suitable cloud provider for the project scope. The architecture for a use case in the area of personalization and prediction is then developed, implemented and evaluated.

关键词： Modern retailing Future e-Commerce characteristics Cloud Computing Design science research Systematic literature review

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Predictive Monitoring of business Process Execution Delays 6th

Predictive Monitoring of Business Process Execution Delays

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6th International Conference on information and Knowledge Systems (ICIKS)

作者： Ben Fradj, Walid Turki, Mohamed Univ Sfax MIRACL Lab ISIMS POB 242 Sfax 3021 Tunisia

ISBN: (纸本)9783031516634;9783031516641

Nowadays, organizations are becoming increasingly aware of the importance of better utilizing their knowledge assets and adopting a quality management model based on a process approach. This can be achieved by adopting a multidisciplinary approach that combines the fields of Knowledge Management, business Process Management and Process Mining. Therefore, to improve their performance and increase their responsiveness, organizations must identify, manage and monitor all the business processes (BP) that are likely to mobilize crucial knowledge. In fact, implementing an IT system that automates business processes is necessary to achieve these goals. In this context, we propose a new method for predicting the execution times of business processes baptized BPETPM. This method is based on the CRISP-DM approach. We used a Process Mining techniques particularly the machine learning to exploit the execution data of a workflow engine. In order to prove the applicability of this method we have developed an intelligent system for predicting execution time of BP named iBPMS4PET. The applicative framework of this research work is the incoming mail management process as part of a group health insurance.

关键词： business Process Management Process Mining Knowledge Management Machine Learning CRISP-DM

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Mapping the Landscape: Exploring Large Language Model Applications in business Process Management 25th

Mapping the Landscape: Exploring Large Language Model Applic...

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25th International Working Conference on business Process Modeling, Development, and Support (BPMDS) / 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD)

作者： Estrada-Torres, Bedilia del-Rio-Ortega, Adela Resinas, Manuel Univ Seville SCORE Lab Seville Spain

ISBN: (纸本)9783031610066;9783031610073

The irruption of large language models (LLMs) during the last year has prompted researchers and practitioners to explore novel scenarios for integrating LLMs, enhancing task execution efficiency across diverse domains. Among these, business process management (BPM) stands out as a fertile ground for leveraging LLM features. As organizations strive to streamline their processes throughout the BPM lifecycle, the potential benefits of incorporating LLMs become increasingly evident. In this sense, over the past year, several approaches have been proposed to incorporate LLMs in BPM-related tasks. Concurrently, research efforts have identified key research directions that can help guide the adoption of LLMs in the BPM lifecycle phases. In this article, we perform a comprehensive literature review to assess the impact and coverage of existing approaches in addressing these research directions. In addition, we deem it particularly relevant to analyze the evaluation criteria followed. By analyzing existing proposals and techniques, we aim to shed light on the most addressed BPM lifecycle phases, pinpointing the research directions they entail and the evaluation criteria utilized. Through this analysis, we provide valuable insights and recommendations to inform future research endeavors.

关键词： LLM business Process Management Lifecycle

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Deriving Object Oriented Normalisation from Conceptual Normalisation 1

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Molhanec, Martin Czech Tech Univ Prague Czech Republic

ISBN: (数字)9783031610035

ISBN: (纸本)9783031610028;9783031610035

This article argues that object-oriented normalisation can be derived from conceptual normalisation. First, object-oriented normalisation, which is not generally accepted by default, is introduced. Furthermore, the conceptual normalisation presented by the Author in his previous articles is briefly presented. Finally, the author shows how object-oriented normalisation can be derived from conceptual normalisation. In the end, the author outlines the possible development of his work in this area.

关键词： Data Normalisation Conceptual Normal Forms Object-Oriented Normal Forms

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A Conceptual Model for Blockchain-Based Trust in Digital Ecosystems (Short Paper) 1

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Ding, Yuntian Herbaut, Nicolas Negru, Daniel Aquitaine Sci Transfert F-33405 Talence France Univ Paris 1 Pantheon Sorbonne Ctr Rech Informat Paris France Univ Bordeaux UMR 5800 LaBRI F-33400 Talence France

ISBN: (数字)9783031610035

ISBN: (纸本)9783031610028;9783031610035

In inter-organizational business processes, divergent interests among participants often result in trust deficiencies. The question of how to initiate trust remains a largely unresolved theoretical issue. However, the advancement of Blockchain technology has led to an increase in its application for establishing trust among stakeholders in these processes. This paper introduces a conceptual model that leverages an ontology of trust to examine its significance within digital ecosystems and suggests a method to promote the integration of blockchain. We exemplify our approach with a practical industrial case study and outline prospective developments in the field of trust facilitation through blockchain technology.

关键词： blockchain trust ontology inter-organizational business process content distribution

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Towards Taming Large Language Models with Prompt Templates for Legal GRL Modeling 25th

Towards Taming Large Language Models with Prompt Templates f...

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作者： de Kinderen, Sybren Winter, Karolin Eindhoven Univ Technol Dept Ind Engn & Innovat Sci Eindhoven Netherlands

ISBN: (纸本)9783031610066;9783031610073

The Legal Goal-oriented Requirements Language (Legal GRL) is a promising conceptual modeling approach for supporting regulatory compliance analysis. Yet, despite early attempts at automation, such Legal GRL models are still manually created, being time consuming and error prone. Recent work has demonstrated how Large Language Models can support the creation of conceptual models. Although showing promise, the application scenarios for conceptual modeling are often limited to well structured, and scoped, scenarios. Dealing with practical, less controlled, regulatory analyses, whereby often a particular actor or topic needs to be pulled into focus, is an open issue. In this paper, we propose using prompt templates to structure the process of using LLMs to create a Legal GRL model from text. The core idea is that prompt templates are created from state of the art prompt patterns, which can restrict LLM output, can manage a LLM conversation context, and can structure a LLM conversation. We report on an initial assessment of prompt templates on multiple law articles from the healthcare and energy community domains. Our initial results are promising for Legal GRL modeling, but at the same time show that caution is warranted.

关键词： Requirements Engineering Goal Modeling Legal GRL Large Language Models Prompt Templates

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Blockchain Evolution and Its Impact on business Models: A Comprehensive Review 25th

Blockchain Evolution and Its Impact on Business Models: A Co...

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25th International Conference on Enterprise information Systems (ICEIS)

作者： Vella, Giacomo Ghezzi, Davide Gastaldi, Luca Ghezzi, Antonio Politecn Milan Milan Italy

ISBN: (纸本)9783031647543;9783031647550

Blockchain technology, originally conceived as the foundational technology of Bitcoin in 2008, has transcended its initial role and now holds transformative potential beyond cryptocurrencies. Despite the significant potential changes that blockchain could bring to business and management, current research predominantly centers on technological aspects and practical applications. Both academics and practitioners continue to grapple with a clear understanding of blockchain's potential impacts. Moreover, the existing scientific literature addressing the business adoption of blockchain seems to overlook the increasing differentiation of real-world blockchain applications. This study aims to address this gap by systematically investigating the existing body of knowledge through a comprehensive review. In this review, we present the potential impacts of blockchain on business models and outline future research avenues. The analysis is based on 74 scientific articles published between January 2008 and July 2023. The review is structured around two frameworks: the elements of value creation, delivery, and capture within business models, and the various stages of blockchain application evolution. The findings underscore the necessity for a more nuanced exploration of real-world blockchain applications and their multifaceted effects on business models. This study contributes to the evolving discourse on the managerial and organizational dimensions of blockchain and offers insights for future research directions in this evolving field.

关键词： Blockchain business model Value creation Value delivery Value capture

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Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare 5th

Investigating an Ontology-Informed Approach to Event Log Gen...

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5th International Conference on Process Mining (ICPM)

作者： Dwyer, Owen P. Chammas, Lara Sallinger, Emanuel Davies, Jim Univ Oxford Oxford England TU Wien Vienna Austria

ISBN: (纸本)9783031561061;9783031561078

Process mining methods have the potential to reveal useful patterns in hospital data and provide insights into patterns of treatment, but healthcare has proven an exceptionally challenging domain due to the significant heterogeneity of possible events and the diversity of individual patients. When studying a patient's pathway, their history might contain hundreds of events unrelated to the disease of interest;determining which to include or exclude in an event log is difficult, and highly dependent on the situation. Typically, researchers only include the most common or correlated events (risking missing rare but significant exceptions), or hand-curate a list of events (slow and difficult, especially where there might be thousands of possible events). We discuss an alternative approach that uses logical reasoning over ontologies to deduce plausibly related events, which might have implications in terms of time savings, the facilitation of reproducible research, and the enabling of comparisons across datasets and healthcare systems. We investigate the practical feasibility of such an approach by demonstrating it on real data, finding that the discovered processes approximate those produced through established approaches, with some caveats. The approach is a promising way to support conversations with domain experts and expedite human processes, and highlights the potential of structured domain knowledge to inform and enhance the event log generation process.

关键词： preprocessing filtering ontologies

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TimeFlows: Visualizing Process Chronologies from Vast Collections of Heterogeneous information Objects 18th

TimeFlows: Visualizing Process Chronologies from Vast Collec...

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18th International Conference on Research Challenges in information Sciences (RCIS)

作者： Muller, Max Lonysa Saaman, Erik van der Werf, Jan Martijn E. M. Jeurgens, Charles Reijers, Hajo A. Nationaal Archief The Hague Netherlands Univ Utrecht Utrecht Netherlands Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9783031594649;9783031594656

In many fact-finding investigations, notably parliamentary inquiries, process chronologies are created to reconstruct how a controversial policy or decision came into existence. Current approaches, like timelines, lack the expressiveness to represent the variety of relations in which historic events may link to the overall chronology. This obfuscates the nature of the interdependence among the events, and the texts from which they are distilled. Based on explorative interviews with expert analysts, we propose an extended, rich set of relationships. We describe how these can be visualized as TimeFlows. We provide an example of such a visualization by illustrating the Childcare Benefits Scandal - an affair that deeply affected Dutch politics in recent years. This work extends the scope of existing process discovery research into the direction of unveiling non-repetitive processes from unstructured information objects.

关键词： Timeline Process Chronology TimeFlow Parliamentary Inquiry

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Enhancing the Accuracy of Predictors of Activity Sequences of business Processes 18th

Enhancing the Accuracy of Predictors of Activity Sequences o...

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18th International Conference on Research Challenges in information Sciences (RCIS)

作者： Ali, Muhammad Awais Dumas, Marlon Milani, Fredrik Univ Tartu Tartu Estonia

ISBN: (纸本)9783031594649;9783031594656

Predictive process monitoring is an evolving research field that studies how to train and use predictive models for operational decision-making. One of the problems studied in this field is that of predicting the sequence of upcoming activities in a case up to its completion, a.k.a. the case suffix. The prediction of case suffixes provides input to estimate short-term workloads and execution times under different resource schedules. Existing methods to address this problem often generate suffixes wherein some activities are repeated many times, whereas this pattern is not observed in the data. Closer examination shows that this shortcoming stems from the approach used to sample the successive activity instances to generate a case suffix. Accordingly, the paper introduces a sampling approach aimed at reducing repetitions of activities in the predicted case suffixes. The approach, namely Daemon Action, strikes a balance between exploration and exploitation when generating the successive activity instances. We enhance a deep learning approach for case suffix predictions using this sampling approach, and experimentally show that the enhanced approach outperforms the unenhanced ones on event logs that exhibits a high frequency of repeated activities with respect to both control-flow and temporal accuracy measures.

关键词： Process Mining Predictive Process Monitoring Sequence Prediction Deep Learning

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