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

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Towards a Web-Based Platform Supporting the Recomposition of business Processes 16th

Towards a Web-Based Platform Supporting the Recomposition of...

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16th Conference on information Systems Management (ISM) / Advances in information Systems and Technologies Conference Track (FedCSIS-AIST) Held as Part of 16th Conference on Computer Science and Intelligence Systems (FedCSIS)

作者： Wisniewski, Piotr Bujak, Agata Kluza, Krzysztof Suchenia, Anna Zaremba, Mateusz Jemiolo, Pawel Ligeza, Antoni AGH Univ Sci & Technol Al A Mickiewicza 30 PL-30059 Krakow Poland Cracow Univ Technol Ul Warszawska 24 PL-31155 Krakow Poland

ISBN: (纸本)9783030989972;9783030989965

Modeling is an integral part of business process management. However, it is often a repetitive work and therefore, methods of its improvement are being invented. In this paper, we aim at facilitating the modeling phase by reusing components from existing repositories and assembling them into new models in a manual or automated way. As a first approach to assess the implementation aspects of this method, we propose a web-based system that supports the recomposition of business processes. The aim of our research is to obtain an application which is clear, easy to use and at the same time functional for advanced users. In the process of user interface design, Double Diamond method was used, containing a benchmark and personas. The application was tested in two iterations on groups of four people. Testing results show that the final system is intuitive and also suitable for experienced business users.

关键词： business process management Process models BPMN Process decomposition Process composition

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Conflict in Tiny Town: Aggregate Mining at the Alliston Aquifer 22nd

Conflict in Tiny Town: Aggregate Mining at the Alliston Aqui...

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22nd International Conference on Group Decision and Negotiation (GDN)

作者： Philpot, Simone Mirnasl, Nayyer Hipel, Keith W. Univ Waterloo Dept Syst Design Engn Waterloo ON Canada Univ Waterloo Ctr Int Governance Innovat Waterloo ON Canada Univ Waterloo Balsillie Sch Int Affairs Waterloo ON Canada

ISBN: (纸本)9783031079955;9783031079962

Conflict over an application to expand aggregate mining in the Township of Tiny, Ontario, is investigated using the Graph Model for Conflict Resolution. This analysis sheds light on a consequential and growing class of multi-jurisdictional resources conflict in Ontario, aggregate mining. At the same time, because the Alliston aquifer contains the purest known naturally occurring water globally, this work describes an aggregate dispute in a unique setting. Analysis indicates that the evaluation process provides more opportunities to approve the application to expand mining at the site. However, some residents opposing the site are seeking novel ways to intervene in the process, such as appealing for federal intervention based on the unique status of the aquifer.

关键词： Aggregate mining Water resources Graph Model for Conflict Resolution Township of Tiny

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Detecting Data Incompatibilities in Process-Driven Decision Support Systems 12th

Detecting Data Incompatibilities in Process-Driven Decision ...

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12th International Symposium on business Modeling and Software Design (BMSD)

作者： Kirchhoff, Jonas Gottschalk, Sebastian Engels, Gregor Paderborn Univ Dept Comp Sci Paderborn Germany

ISBN: (纸本)9783031115103;9783031115097

Decision makers in complex business environments have different goals and constraints and therefore require tailored decision support systems (DSS). Following a low-code approach, a tailored DSS can be created by a decision maker as a process-based composition of existing, interoperable decision support services. Data incompatibilities may be introduced during the design or execution of such a process-driven DSS, e.g., when a service always generates or a decision maker selects data which violates a data constraint of a subsequent service. These incompatibilities cause interrupted or erroneous decision processes. In this paper, we contribute an approach which enables the detection of data incompatibilities in process-driven DSS during process design and execution. Our approach utilizes the JSON Schema specification to define service interfaces and associated type constraints which data produced by services or decision makers can be validated against. We demonstrate our approach in the context of decision support for energy network planning using a prototypical open-source implementation.

关键词： Decision support systems Process-driven applications Low-code Service composition business process dataflow

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Rolling Back to Manual Work: An Exploratory Research on Robotic Process Re-Manualization 1

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20th International Conference on business Process Management (BPM) / business Process Management (BPM) Forum

作者： Modlinski, Artur Kedziora, Damian Ramirez, Andres Jimenez Del-Rio-Ortega, Adela Univ Lodz Lodz Poland LUT Univ Lappeenranta Finland Univ Seville Seville Spain Univ Seville I3US Inst SCORE Lab Seville Spain

ISBN: (数字)9783031161681

ISBN: (纸本)9783031161681;9783031161674

Robotic process automation (RPA) is a technology that is presented as a universal tool that solves major problems of modern businesses. It aims to reduce costs, improve quality and create customer value. However, the business reality differs from this aspiration. After interviews with managers, we found that implementation of robots does not always lead to the assumed effect and some robots are subsequently withdrawn from companies. In consequence, people take over robotized tasks to perform them manually again, and in practice, replace back robots-what we call `re-manualization'. Unfortunately, companies do not seem to be aware of this possibility until they experience it on their own, to the best of our knowledge, no previous research described or analysed this phenomenon so far. This lack of awareness, however, may pose risks and even be harmful for organizations. In this paper, we present an exploratory study. We used individual interviews, group discussions with managers experienced in RPA, and secondary data analysis to elaborate on the re-manualization phenomenon. As a result, we found four types of `cause and effect' narrations that reflect reasons for this to occur: (1) overenthusiasm for RPA, (2) low awareness and fear of robots, (3) legal or supply change and (4) code faults.

关键词： Robotic process automation RPA Software robot Investment information systems Work manualization

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Designing XML Schema Inference Algorithm for Intra-enterprise Use 21st

Designing XML Schema Inference Algorithm for Intra-enterpris...

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21st International Conference on Perspectives in business Informatics Research (BIR) - business Informatics for Sustainable Innovation

作者： Uraev, Dmitry Babkin, Eduard HSE Univ Nizhnii Novgorod Russia

ISBN: (纸本)9783031169465;9783031169472

The paper considers methods for automated XML schema inference for a collection of documents from the point of the integration and usage at the enterprise. Most existing algorithms work with certain XML data that is claimed to be without errors or inaccuracies in the collection. The paper analyzes the theoretical foundations for inferring XML schema for decision maker who is working with automatically or manually created heterogeneous data. An algorithm based on a probabilistic approach is supposed to work on any data and allows the decision maker to have alternatives with a certain confidence level when working with an XML schema inferred. As a result of our findings, we introduce *** application for inferring XML schemas for intraenterprise use.

关键词： Probabilistic XML Schema inference Heterogeneous data Uncertain data xml center dot schema center dot inference Schema editing

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Intelligent Robots in business Processes: A Students' Perspective 5th

Intelligent Robots in Business Processes: A Students' Perspe...

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International Conference on business Process Management (BPM)

作者： Van Looy, Amy Bauwens, Gilles Zaniewski, Krzysztof Univ Ghent Fac Econ & Business Adm Dept Business Informat & Operat Management Tweekerkenstr 2 B-9000 Ghent Belgium

ISBN: (纸本)9783030943431;9783030943424

The( )fourth industrial revolution urges companies to incorporate technologies such as artificial intelligence and robotics in their business processes. The success of emerging technologies to innovate business processes, however, largely depends on the acceptance by employees, e.g., as being the end users for human-robot collaboration. The current paper addresses a yet under investigated technology, namely robotics with more advanced levels of intelligence. The existing literature about intelligent robots is still scarce and mainly limited to applications in particular sectors. Since intelligent robot applications will increase in the medium term, our purpose is to add an interdisciplinary perspective by examining the degree to which acceptance differs among master students as highly-skilled future employees. Our survey shows that gender and academic discipline only have a limited impact to predict the acceptance of intelligent robots at work, but different adoption profiles seem to matter most for robotic process changes. Finally, we discuss the role of students, universities and employees to better prepare for the future digitalization of the workplace.

关键词： Intelligent robots Acceptance Students Future employees

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Decision Modelling in Timed Dynamic Condition Response Graphs with Data 5th

Decision Modelling in Timed Dynamic Condition Response Graph...

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International Conference on business Process Management (BPM)

作者： Hildebrandt, Thomas T. Normann, Hakon Marquard, Morten Debois, Soren Slaats, Tijs Univ Copenhagen Dept Comp Sci Copenhagen Denmark DCR Solut Njalsgade 76 Copenhagen Denmark IT Univ Copenhagen Dept Comp Sci Copenhagen Denmark

ISBN: (纸本)9783030943431;9783030943424

We provide a formal semantics for timed DCR graphs with decision events and data, and show how the model supports merging declarative decision modelling and process modelling in one notation. We exemplify the model by an expense report process and discuss how decisions may be presented using DMN jointly with the DCR process notation. If data domains are bounded, models are finite state and allow formal verification of both safety and liveness properties. The formal model is fully implemented in commercial process design and workflow management systems provided by DCR Solutions and also freely available for academic use.

关键词： Declarative modelling Data Time DCR Graphs DMN

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The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection 16th

The Analysis of Online Event Streams: Predicting the Next Ac...

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16th International Conference on Research Challenges in information Sciences (RCIS)

作者： Lee, Suhwan Lu, Xixi Reijer, Hajo A. Univ Utrecht Utrecht Netherlands

ISBN: (纸本)9783031057601;9783031057595

Anomaly detection in process mining focuses on identifying anomalous cases or events in process executions. The resulting diagnostics are used to provide measures to prevent fraudulent behavior, as well as to derive recommendations for improving process compliance and security. Most existing techniques focus on detecting anomalous cases in an offline setting. However, to identify potential anomalies in a timely manner and take immediate countermeasures, it is necessary to detect event-level anomalies online, in real-time. In this paper, we propose to tackle the online event anomaly detection problem using next-activity prediction methods. More specifically, we investigate the use of both ML models (such as RF and XGBoost) and deep models (such as LSTM) to predict the probabilities of next-activities and consider the events predicted unlikely as anomalies. We compare these predictive anomaly detection methods to four classical unsupervised anomaly detection approaches (such as Isolation forest and LOF) in the online setting. Our evaluation shows that the proposed method using ML models tends to outperform the one using a deep model, while both methods outperform the classical unsupervised approaches in detecting anomalous events.

关键词： Process mining Event stream Anomaly detection

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24th International Conference on business information Systems (BIS)

作者： Marolt, Marjeta Pucihar, Andreja Lenart, Gregor Vidmar, Doroteja Gasperlin, Blaz Borstnar, Mirjana Kljajic Univ Maribor Fac Org Sci Kranj Slovenia

ISBN: (纸本)9783031042164;9783031042157

Universities have encountered numerous difficulties and challenges during the COVID-19 pandemic. They used various approaches to deal with these challenges. Unfortunately, these experiences are not widely discussed. Therefore, this study provides preliminary insights on how the business information systems department at the Faculty of Organizational Sciences, University of Maribor managed to overcome different challenges and executed the study process completely online in the COVID-19 pandemic. Experiences of conducting several courses at the bachelor and master level are reported in the paper. We also provide some suggestions on how to overcome specific challenges faced by students and lecturers. In the future, we wish to conduct a multiple case study including the viewpoints of lecturers, support staff, and students.

关键词： business information systems Study process Digitalization COVID-19 pandemic

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KnowGo: An Adaptive Learning-Based Multi-model Framework for Dynamic Automotive Risk Assessment 12th

KnowGo: An Adaptive Learning-Based Multi-model Framework for...

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12th International Symposium on business Modeling and Software Design (BMSD)

作者： Mundt, Paul Kumara, Indika Van den Heuvel, Willem-Jan Tamburri, Damian Andrew Andreou, Andreas S. Adaptant Solut AG Adaptant Labs Berlin Germany Jheronimus Acad Data Sci Sint Janssingel 92 NL-5211 DA Shertogenbosch Netherlands Tilburg Univ Warandelaan 2 NL-5037 AB Tilburg Netherlands Eindhoven Univ Technol NL-5612 AZ Eindhoven Netherlands Cyprus Univ Technol CY-3036 Limassol Cyprus

ISBN: (纸本)9783031115103;9783031115097

In autonomous driving systems, the level of monitoring and control expected from the vehicle and the driver change in accordance with the level of automation, creating a dynamic risk environment where risks change according to the level of automation. Moreover, the input data and their essential features for a given risk model can also be inconsistent, heterogeneous, and volatile. Therefore, risk assessment systems must adapt to changes in the automation level and input data content to ensure that both the risk criteria and weighting reflect the actual system state, which can change at any time. This paper introduces KnowGo, a learning-based dynamic risk assessment framework that provides a risk prediction architecture that can be dynamically reconfigured in terms of risk criterion, risk model selection, and weighting in response to dynamic changes in the operational environment. We validated the KnowGo framework with five types of risk scoring models implemented using data-driven and rule-based methods.

关键词： Dynamic risk assessment Adaptive systems Autonomous vehicles Meta-learning Multi-model Dynamic software architecture

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