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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261-270 订阅

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Analyzing Behavior in Cyber-Physical Systems in Connected Vehicles: A Case Study

Analyzing Behavior in Cyber-Physical Systems in Connected Ve...

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21st International Conference on business Process Management (BPM)

作者： Beyel, Harry H. Makke, Omar Gusikhin, Oleg van der Aalst, Wil M. P. Rhein Westfal TH Aachen Chair Proc & Data Sci Aachen Germany Ford Global Data Insight & Analyt Dearborn MI USA

ISBN: (纸本)9783031509735;9783031509742

Cyber-physical systems embedded in various areas connected to the internet generate unprecedented volumes of data. Humans frequently interact with these systems, thus allowing companies to analyze the data and gain valuable insights into user-product interactions. To analyze the underlying behavior recorded in data, process-mining techniques can be used. However, to apply process mining, the low-level measurements have to be transformed into an event log. In this work, we analyze enriched and transformed connected-vehicle data dealing with an assistance system using process-mining techniques. We analyze the time spent in states of the system, compare behavior between different models using Kruskal-Wallis' and Dunn's test, and discover reasons for state switching. We demonstrate how companies can apply process mining on data collected by internet-of-things devices to understand the usage, ratify system requirements, and develop their products.

关键词： Connected vehicle Continuous Data Sensor Data Process Mining Process Enhancement Case Study

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Non-Automata Based Conformance Checking of Declarative Process Specifications Based on ASP

Non-Automata Based Conformance Checking of Declarative Proce...

引用

21st International Conference on business Process Management (BPM)

作者： Kuhlmann, Isabelle Corea, Carl Grant, John Univ Hagen Artificial Intelligence Grp Hagen Germany Univ Koblenz Inst IS Res Koblenz Germany Univ Maryland Dept Comp Sci College Pk MD USA Univ Maryland UMIACS College Pk MD USA

ISBN: (纸本)9783031509735;9783031509742

We investigate the use of Answer Set Programming (ASP) for the problem of conformance checking of LTL-based Declarative Process Specifications. In particular, we propose ASP solutions that are independent of automata. That is: in related works, the semantics of the declarative process specifications are often captured by means of finite state automata. This means that for conformance checking, the constraints of the specification first have to be transformed into a corresponding automata representation, which introduces a computational burden. In this work, we present a new ASP-based approach which encodes the constraint semantics directly and therefore can be used to check conformance without the need of performing automata operations. We implement our approach and perform experiments with reallife datasets, comparing our approach to a selection of state-of-the-art approaches. Our experiments show that our approach can outperform existing approaches in some cases. Furthermore, our approach can easily be extended to check whether the considered constraint sets are satisfiable (i.e., consistent).

关键词： Conformance Checking Declarative Process Specifications Answer Set Programming

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Artificial Intelligence Procurement Assistant: Enhancing Bid Evaluation 14th

Artificial Intelligence Procurement Assistant: Enhancing Bid...

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14th International Conference on Software business (ICSOB)

作者： Waseem, Muhammad Das, Teerath Paloniemi, Teemu Koivisto, Miika Rasanen, Eeli Setala, Manu Mikkonen, Tommi Jyvaskyla Univ Fac Informat Technol Jyvaskyla Finland Solita Tampere Finland

ISBN: (纸本)9783031532269;9783031532276

In modern business, maintaining competitiveness and efficiency necessitates the integration of state-of-the-art technology. This paper introduces the Artificial Intelligence Procurement Assistant (AIPA), an advanced system co-developed with Solita, a Finnish software company. AIPA leverages Large Language Models (LLMs) and sophisticated data analytics to enhance the assessment of procurement call bids and funding opportunities. The system incorporates LLM agents to enhance user interactions, from intelligent search execution to results evaluation. Rigorous usability testing and real-world evaluation, conducted in collaboration with our industry partner, validated AIPA's intuitive interface, personalized search functionalities, and effective results filtering. The platform significantly streamlines the identification of optimal calls by synergizing LLMs with resources from the European Commission TED and other portals. Feedback from the company guided essential refinements, particularly in the performance of ChatGPT agents for tasks like translation and keyword extraction. Further contributing to its scalability and adaptability, AIPA has been made open-source, inviting community contributions for its ongoing refinement and enhancement. Future developments will focus on extensive case studies, iterative improvements through user feedback, and expanding data sources to further elevate its utility in streamlining and optimizing procurement processes.

关键词： Data Analytics

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Navigating Event Abstraction in Process Mining: A Comprehensive Analysis of Sub-problems, Data, and Process Characteristic Considerations

Navigating Event Abstraction in Process Mining: A Comprehens...

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21st International Conference on business Process Management (BPM)

作者： Lim, Jungeun Song, Minseok Pohang Univ Sci & Technol Dept Ind & Management Engn Pohang South Korea

ISBN: (纸本)9783031509735;9783031509742

Process mining technologies assume event logs with an appropriate level of granularity, but many systems generate low-level event logs, resulting in complex process models. Event abstraction addresses this issue by transforming low-level event logs into abstracted event logs, enabling the derivation of business-level process models. However, practitioners often struggle to choose suitable event abstraction methods. This is primarily due to the lack of comparative studies that analyze the differences between methods and the insufficient information regarding the data and relevant process characteristics to be considered. This study conducts a comprehensive literature reviewon event abstraction to overcome these challenges. The review focuses on summarizing specific sub-problems in event abstraction, identifying types of data that can be utilized, and highlighting important process characteristics that should be considered. The insights and guidance provided by this review will be valuable to practitioners seeking to select and implement effective event abstraction techniques.

关键词： Event Abstraction Hierarchical Process Model Literature Review

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A Systematic Approach to Derive Conceptual Models from BPMN Models 14th

A Systematic Approach to Derive Conceptual Models from BPMN ...

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14th International Symposium on business Modeling and Software Design (BMSD)

作者： Lopes, Ricardo Araujo, Joao da Silveira, Denis Silva Sardinha, Alberto NOVA Sch Sci & Technol NOVA LINCS Caparica Portugal Univ Fed Pernambuco UFPE Recife Brazil Pontificia Univ Catolica Rio de Janeiro PUC Rio Rio De Janeiro Brazil

ISBN: (纸本)9783031640728;9783031640735

In the digital systems industry, there is a critical intersection between business process modeling and software engineering. This means that companies need to coordinate and align both business process models and conceptual models. However, responsibilities are often divided within the companies, with individuals having expertise in only one of these areas. This division makes the transition from business process models, typically represented as BPMN diagrams, to Conceptual Models, represented as UML Class Diagrams, a challenging task. The difficulty arises from the intrinsic differences between the two notations. This paper proposes an approach to address this problem by developing a software system that leverages the capabilities of OpenAI's ChatGPT to extract contextual information from BPMN diagrams and generate corresponding UML Class Diagrams. This approach provides a systematic method for transforming business process models into software-based conceptual models. Furthermore, it demonstrates the potential of Artificial Intelligence in automating the complex task of software engineering when combined with business process management.

关键词： business Process Model Notation (BPMN) Conceptual Model Large Language Models Model Driven Development

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Addressing Convergence, Divergence, and Deficiency Issues

Addressing Convergence, Divergence, and Deficiency Issues

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21st International Conference on business Process Management (BPM)

作者： Adams, Jan Niklas van der Aalst, Wil M. P. Rhein Westfal TH Aachen Chair Proc & Data Sci Aachen Germany

ISBN: (纸本)9783031509735;9783031509742

The application of process mining algorithms to event logs requires the extraction of cases, describing end-to-end runs through the process. When extracting cases for object-centric event data, this extraction is often subject to convergence, divergence, and deficiency issues. Recently, connected-components extraction was proposed, extracting graph-based cases, called process executions, from the graph of event precedence constraints. This paper shows that only case extraction based on connected-components is free of convergence, divergence, and deficiency issues. This proof has several implications for future research in object-centric process mining. First, if a downstream process mining task is negatively affected by these quality issues, connected-components extraction is the only way to mitigate these. Second, additional requirements that would conflict with connected-components extraction would render the mitigation of quality issues infeasible, making trade-offs between quality issues necessary. Third, as traditional event logs are a special case of object-centric event logs and connected-components extraction is equivalent to the traditional case concept for a traditional event log, new extraction techniques, as well as object-centric adaptations of algorithms, should be backward-compatible.

关键词： Object-Centric Process Mining Event Data Flattening

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Exploring the Finnish Impact Investing Ecosystem: Perspectives on Challenges from Technology Startups 14th

Exploring the Finnish Impact Investing Ecosystem: Perspectiv...

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14th International Conference on Software business (ICSOB)

作者： Okker, Timo Mohanani, Rahul Auvinen, Tommi Abrahamsson, Pekka Univ Jyvaskyla Seminaarinkatu 15 Jyvaskyla 40014 Finland Tampere Univ Kalevantie 3 Tampere 33100 Finland

ISBN: (纸本)9783031532269;9783031532276

The increasing significance of social and environmental impact within the technology startup business sector has garnered attention. Previous research has explored impact investing and related themes in the startup context. However, despite the growing interest in this area, a noticeable gap exists in research addressing impact investing ecosystems (IIE) and ecosystem-related challenges and advantages specifically within the technology field. This study endeavors to fill this gap by examining organizations within the Finnish IIE, bridging the divide between current industry practices and academic research. This study employed an interview-based approach, featuring thirteen interviewees representing eleven participating organizations. These interviews followed a semi-structured format, with all interviewees holding roles closely linked to the technology startup context within the Finnish IIE. Utilizing the thematic synthesis approach, this research aims to elucidate the perceived challenges faced by technology startups operating within the IIE. The findings of this study underscore the diversity and multiplicity of challenges confronting startups within the IIE, spanning various functions and operations, as well as the existing financial structures. Furthermore, this study puts forth recommendations formitigating these perceived challenges and suggests potential avenues for future research within this domain.

关键词： Impact investing Impact investing ecosystem Challenges Software startup

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Research on the Influence Mechanism of Blind Box Product Characteristics on Consumers' Purchase Intention 1

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Zhan, Linmei Xiong, Ying China Univ Geosci Econ & Management Coll Wuhan Peoples R China

ISBN: (数字)9783031602603

ISBN: (纸本)9783031602597;9783031602603

In recent years, blind boxes have won the favor of consumers by virtue of their mysterious and uncertain features as well as their delicate and lovely shapes, and have become a social bond between young consumer groups. Based on the SOR model, this paper introduces consumer sentiment and product involvement as mediating and moderating variables to construct a theoretical model for the study of the influence mechanism of blind box product characteristics on consumer purchase intention. The results show that the uncertainty, sociality, aesthetics and interestingness of the blind box have a positive effect on consumer purchase intention, and the two dimensions of consumer emotions (pleasure and arousal) play a mediating role. The product involvement negatively moderates the effect of the sociality, aesthetics and interestingness of the blind box on consumers' purchase intention, but its moderating effect is not significant in the effect of the uncertainty of the blind box on consumer purchase intention.

关键词： Blind box Purchase intention Consumer sentiment Product involvement

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User Experience of VR Sports: A Uses and Gratifications View 23rd

User Experience of VR Sports: A Uses and Gratifications View

引用

23rd Wuhan International Conference on E-business (WHICEB)

作者： Chen, Hong Tampere Univ Kalevantie 4 Tampere 33100 Finland

ISBN: (纸本)9783031603266;9783031603242

Virtual reality (VR) sports have become a new phenomenon in sports. We have witnessed an increase in VR sports among individual participants in their casual lives during and after the COVID-19 pandemic. However, there is a lack of a deep understanding of the user experience in VR sports usage in casual life at the individual participant level. To address the above research gap, this research explores the user experience of VR sports based on a uses and gratifications perspective via interviews among twelve VR sports users. The present research provides a deep understanding of the user experience of VR sports usage by identifying four gratifications in VR sports usage that meet users' psychological needs. The four gratifications are hedonic gratification, utilitarian gratification, technology gratification, and social gratification.

关键词： User experience VR sports Digital Sports Uses and gratifications theory

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Why Does Perceived Humanness Predict AI Use Intention? The Mediating Roles of Perceived Values and Perceived Risk 1

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Xia, Tian Kong, Xiangyin Mai, Qiang Guo, Huijing Liu, Xiaoxiao Harbin Inst Technol Sch Management Harbin 150001 Peoples R China Harbin Engn Univ Sch Management Harbin 150001 Peoples R China China Univ Min & Technol Sch Econ & Management Xuzhou 221116 Jiangsu Peoples R China Xi An Jiao Tong Univ Sch Management Xian 710049 Peoples R China Xi An Jiao Tong Univ China Inst Hosp Dev & Reform Xian 710049 Peoples R China

ISBN: (数字)9783031602603

ISBN: (纸本)9783031602597;9783031602603

Nowadays artificial intelligence (AI) has been widely used in the healthcare industry. AI can provide improved healthcare services by advancing technologies and individuals expect AI's human-like responses. This study aims to understand how the perceived humanness of AI influences individuals' use intention of AI in health consultations. In view of the influencing mechanism model, this study carries out an in-depth study. This study develops a model to explore the relationship among perceived humanness, AI use intention, perceived values (utilitarian value and hedonic value), and perceived risk (PR). Meanwhile, it tests the mediating roles of perceived values and perceived risk on the relationship between perceived humanness and AI use intention. 275 university students were involved in this study. Results show that perceived utilitarian value and perceived hedonic value fully mediate the relationship, while perceived risk could not showa significant effect. This study shows evidence of why designing AI with perceived humanness increases users' intention in health consultations.

关键词： AI Perceived Humanness Perceived Values Perceived Risk

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