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On the Dissolution of Three-Party Partnerships via a Buy-Sell Mechanism 22nd

On the Dissolution of Three-Party Partnerships via a Buy-Sel...

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

作者： Gerchak, Yigal Tel Aviv Univ Dept Ind Engn Tel Aviv Israel

ISBN: (纸本)9783031079955;9783031079962

How to dissolve a three-party partnership? Three and more partners partnerships do exist. While the dissolution of two-party partnerships and of analogous business relations was widely discussed, not so for a three-party partnership where the partners initially own arbitrary shares of the firm. Even the possible rules for such dissolution are not quite clear. Assuming some rule, one need to optimize partners' strategies. The efficiency and fairness of such arrangement need then to be investigated. The methods of dissolution that we discuss extend the buy-sell procedure of two partners.

关键词： Partnership Dissolution Three partners Buy-sell

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A Systematic Mapping Study of Empirical Research Methods in Software Ecosystems 13th

A Systematic Mapping Study of Empirical Research Methods in ...

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13th International Conference on Software business

作者： Abdullai, Larry Shamshiri, Hatef Mahmud, Hasan Hamza, Muhammad Aittamaa, Essi Vuolasto, Jaakko Adisa, Mikhail O. Luukkainen, Roope Hyrynsalmi, Sonja M. Masseli, Niina Azad, Nasreen Haque, Bahalul Joutsenlahti, Juha-Pekka Legesse, Wondemeneh Abdelsalam, Ahmed Gurzhii, Anastasiia Ikonen, Jouni Jansen, Slinger van Schothorst, Casper LUT Univ Lappeenranta Finland Univ Utrecht Utrecht Netherlands

ISBN: (纸本)9783031207051;9783031207068

The field of software ecosystems is rapidly maturing and significant numbers of articles are published each year to further develop our understanding of this concept and support innovation through it. The growth of the field also brings along challenges, such as findability and reusability of research results, coordination of research initiatives, and significant review pressure on members of the community. In this mapping study of empirical research methods in the field, we show that few studies do a good job of reporting their research methods and results. Using data from the study, we provide guidelines for performing empirical research in software ecosystems.

关键词： Empirical research Software ecosystems Software engineering Platform management Research validity

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Change Detection in Dynamic Event Attributes

Change Detection in Dynamic Event Attributes

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

作者： Cremerius, Jonas Weske, Mathias Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9783031161711;9783031161704

Discovering and analysing business processes are important tasks for organizations. Process mining bridges the gap between process management and data science by discovering process models using event logs derived from real-world data. Besides mandatory event attributes like case identifier, activity, and timestamp, additional event attributes can be present, such as human resources, costs, and laboratory values. These event attributes can be modified by multiple events in a trace, which can be classified as so-called dynamic event attributes. So far, the process behaviour of event attributes is described in the form of read/write operations or object-lifecycle states. However, the actual value behaviour has not been considered yet. This paper introduces an approach that allows to automatically detect changes in the actual values of dynamic event attributes, enabling to identify changes between process activities representing events with the same activity name. This can help to confirm expected behaviour of dynamic event attributes, but also allows deriving novel insights by identifying unexpected changes. We applied the proposed technique on the MIMIC-IV real-world data set on hospitalizations in the US and evaluated the results together with a medical expert. The approach is implemented in Python with the help of the PM4Py framework.

关键词： Process mining Change detection Process enhancement

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Fast Payment Systems Dynamics: Lessons from Diffusion of Innovation Models 24th

Fast Payment Systems Dynamics: Lessons from Diffusion of Inn...

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24th International Conference on business information Systems (BIS)

作者： Dostov, Victor Shust, Pavel Krivoruchko, Svetlana St Petersburg State Univ Ctr Distributed Ledger Technol St Petersburg Russia St Petersburg State Univ St Petersburg Russia Russian Elect Money & Remittance Assoc Moscow Russia Financial Univ Govt Russian Federat Moscow Russia

ISBN: (纸本)9783031042164;9783031042157

The paper applies innovation dynamics equations to analyze audience dynamics of instant payment systems (IPS) behavior. The research shows that dynamics of IPS are well described by the Ricatti equations, which are generalizations of the Bass basic model of innovation diffusion taking into account different patterns of audience behavior. As proved by IPS experience in Britain, Sweden and other countries, commodification of fast payment services allows for rigorous description of the IPS dynamics. Quantitative estimates are obtained for the degree of cooperative customer behavior and the typical time of system growth. However, these parameters may differ for different transactions types within the same system due to their different business nature. We also show that all systems may be described by the generalized trajectory of evolution and demonstrate that described systems with different payment operations types are located on different stages of this trajectory what reflects their maturity and operation nature. The results can be used for qualitative and quantitative assessment of IPS customers behavior and for short- and medium-term projections. We also discuss some future improvements such as including of competition of different IPSs for countries in which more than one IPS run simultaneously.

关键词： Fast payment system Instant payment system IPS Retail payment Bass equation Ricatti equation Swish Venmo Payment system model

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Interactive business Process Comparison Using Conformance and Performance Insights - A Tool 16th

Interactive Business Process Comparison Using Conformance an...

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

作者： Pourbafrani, Mahsa Rafiei, Majid Berti, Alessandro van der Aalst, Wil M. P. Proc & Data Sci Grp RWTH Aachen Aachen Germany Fraunhofer Inst Technol FIT St Augustin Germany

ISBN: (纸本)9783031057601;9783031057595

Process mining techniques make the underlying processes in organizations transparent. Historical event data are used to perform conformance checking and performance analyses. Analyzing a single process and providing visual insights has been the focus of most process mining techniques. However, comparing two processes or a single process in different situations is essential for process improvement. Different approaches have been proposed for process comparison. However, most of the techniques are either relying on the aggregated KPIs or their comparisons are based on process models, i.e., the flow of activities. Existing techniques are not able to provide understandable and insightful results for process owners. The current paper describes a tool that provides aggregated and detailed comparisons of two processes starting from their event logs using innovative visualizations. The visualizations provided by the tool are interactive. We exploit some techniques recently proposed in the literature, e.g., stochastic conformance checking and the performance spectrum, for conformance and performance comparison.

关键词： Process mining Event logs Comparison visualization Performance spectrum Earth mover's distance

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Digital Twin Ecosystems: Potential Stakeholders and Their Requirements 13th

Digital Twin Ecosystems: Potential Stakeholders and Their Re...

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13th International Conference on Software business

作者： Liyanage, Reshani Tripathi, Nirnaya Paivarinta, Tero Xu, Yueqiang Univ Oulu M3S Res Unit Oulu Finland Lulea Univ Technol Digital Serv & Syst Lulea Sweden

ISBN: (纸本)9783031207051;9783031207068

Context: As industries are heading for digital transformation through Industry 4.0, the concept of Digital Twin (DT) - a software for digital transformation, has become popular. Many industries use DT for its advantages, such as predictive maintenance and real-time remote monitoring. Within DT domain, an emerging topic is the concept of an ecosystem-a digital platform that would create value for different stakeholders in an ecosystem of DT-driven products and services. The identification of potential stakeholders and their requirements provides valuable contributions to the development of healthy Digital Twin Ecosystems (DTE). However, current empirical knowledge of potential stakeholders and their requirements are limited. Objective/Methodology: Thus, the objective of this research was to explore potential stakeholders and their requirements. The research employed an empirical research methodology in which semi-structured interviews were conducted with DT professionals for data collection. Results: Data analysis of the study revealed 13 potential stakeholders who were categorized as primary (manufacturers, suppliers, subcontractors, and intelligent robots), secondary (maintenance service providers, platform integration service providers, tech companies, etc.), and tertiary (research organizations, third-party value-added service providers, cyber security firms, etc.). This study also presents the different requirements of these stakeholders in detail. Contribution: The study contributes to both research and industry by identifying possible stakeholders and their requirements. It contributes to the literature by adding new knowledge on DTEs and fills a research gap while contributing industry by providing ample knowledge to the industry's practitioners that is useful in the development and maintenance of a healthy DTE.

关键词： Digital twin Ecosystems Stakeholders Industry 4.0

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The BPM Governance Supporting Factors and Implementation Barriers - The Experience of a Public University 5th

The BPM Governance Supporting Factors and Implementation Bar...

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International Conference on business Process Management (BPM)

作者： Sliz, Piotr Sicinski, Jedrzej Antonowicz, Pawel Beben, Robert Univ Gdansk Fac Management Gdansk Poland

ISBN: (纸本)9783030943431;9783030943424

The positive impact associated with the implementation of process solutions in private-sector organizations has been signaled in the literature on the subject. From the cognitive perspective, assessment of the vulnerability of BPM and BPM Governance implementation in public sector organizations, with particular emphasis on public universities, is of significance. The research gap, meaning the small number of publications presenting implementation of BPM Governance elements in these organizations, needs to be underlined here. The article's originality lies in the focus on describing the empirical experience associated with strategy reconfiguration and resulting from the implementation of characteristic process organization solutions at a higher education institution. The main aim of this paper is to present the factors supporting and hindering implementation of BPM Governance at a public university. As a result of the research carried out using the methods of systematic literature review and participant observation, a catalog of the factors supporting and rigidifying the implementation of BPM Governance elements was developed. The article additionally describes the Authors' experience in identifying the university stakeholders, the processes architecture, and the formalization of selected processes using authorial IT tools.

关键词： BPM governance BPM initiatives Public university Public organization

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Toward a Reference Architecture for User-Oriented Open Government Data Portals 12th

Toward a Reference Architecture for User-Oriented Open Gover...

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

作者： Luthfi, Ahmad Janssen, Marijn Univ Islam Indonesia Dept Informat Jalan Kaliurang KM 145 Sleman Yogyakarta 55584 Indonesia Delft Univ Technol Delft Netherlands

ISBN: (纸本)9783031115103;9783031115097

Governments have established Open Government Data Portals (OGDP) to open various types of datasets that can be used to increase transparency, accountability, and innovation. OGDP is becoming a strategic program for citizen engagement and empowering users. Nevertheless, many OGDP architectures focus merely on publishing data and do not support the actual data use. Therefore, this paper aims to develop a reference architecture (RA) that takes a broader set of requirements aimed at enabling the use of open data into account. The RA consists of recommended structures and integrations of the end-to-end user interactions and services. In this research, we use the DKAN open data management platform as the basis to design a full suite of cataloguing and visualising the end-to-end user interactions. Five layers are proposed providing functionalities for using data. Whereas most portals are focused on releasing data, our RA is focused on empowering users by providing functionalities for the use of data.

关键词： Reference architecture Open data Portal DKAN End-user

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Context-Aware, Intelligent Musical Instruments for Improving Knowledge-Intensive business Processes 12th

Context-Aware, Intelligent Musical Instruments for Improving...

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

作者： Grum, Marcus Postdam Germany

ISBN: (纸本)9783031115103;9783031115097

With shorter song publication cycles in music industries and a reduced number of physical contact opportunities because of disruptions that may be an obstacle for musicians to cooperate, collaborative time consumption is a highly relevant target factor providing a chance for feedback in contemporary music production processes. This work aims to extend prior research on knowledge transfer velocity by augmenting traditional designs of musical instruments with (I) Digital Twins, (II) Internet of Things and (III) Cyber-Physical System capabilities and consider a new type of musical instrument as a tool to improve knowledge transfers at knowledge-intensive forms of business processes. In a design-science-oriented way, a prototype of a sensitive guitar is constructed as information and cyber-physical system. Findings show that this intelligent SensGuitar increases feedback opportunities. This study establishes the importance of conversion-specific music production processes and novel forms of interactions at guitar playing as drivers of high knowledge transfer velocities in teams and among individuals.

关键词： business process Knowledge transfer CPS Prototype

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Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset 16th

Supervised and Unsupervised Categorization of an Imbalanced ...

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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： Rollo, Federica Bonisoli, Giovanni Po, Laura Univ Modena & Reggio Emilia Enzo Ferrari Engn Dept Modena Italy

ISBN: (纸本)9783030989972;9783030989965

The automatic categorization of crime news is useful to create statistics on the type of crimes occurring in a certain area. This assignment can be treated as a text categorization problem. Several studies have shown that the use of word embeddings improves outcomes in many Natural Language processing (NLP), including text categorization. The scope of this paper is to explore the use of word embeddings for Italian crime news text categorization. The approach followed is to compare different document pre-processing, Word2Vec models and methods to obtain word embeddings, including the extraction of bigrams and keyphrases. Then, supervised and unsupervised Machine Learning categorization algorithms have been applied and compared. In addition, the imbalance issue of the input dataset has been addressed by using Synthetic Minority Oversampling Technique (SMOTE) to oversample the elements in the minority classes. Experiments conducted on an Italian dataset of 17,500 crime news articles collected from 2011 till 2021 show very promising results. The supervised categorization has proven to be better than the unsupervised categorization, overcoming 80% both in precision and recall, reaching an accuracy of 0.86. Furthermore, lemmatization, bigrams and keyphrase extraction are not so decisive. In the end, the availability of our model on GitHub together with the code we used to extract word embeddings allows replicating our approach to other corpus either in Italian or other languages.

关键词： Text categorization Word embeddings Word2Vec Crime category Keyphrase extraction

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