Subject-oriented plural method meets BPMN: a case study

Subject-oriented approach to business process management focuses on the subjects and their interactions with the aim to capture more accurate process information with increased fidelity. In a common setting, business processes are modeled by process engineers or modeling experts who often create their processes in a top-down fashion. However, this may pose risks to the acceptance and adoption of these models in practice, particularly in knowledge-centric environments. The Plural method follows a subject-oriented approach and allows process participants, rather than a centralized group of process engineers, to model and maintain their processes in a decentralized way. It guides process participants to focus on the roles and their interactions in terms of message exchanges. This study investigates the use of BPMN 2.0 for the Plural method. With the aim to show the applicability of the notation for a subject-oriented approach and report on the benefits and limitations of the new edition of the Plural method in general, we performed a case study in an industry company. Guided by a coordinator, 11 process participants modeled four processes that they participate by following the Plural method. These models were also compared with the classical models developed prior to the application of the Plural method to better understand the influence. Analyses showed that the application of the Plural resulted in more complete process models. However, there are concerns regarding the understandability of these models when compared with their classical counterparts. It has been shown that the Plural method is a powerful tool for process discovery and modeling, but an improvement on its models is needed to obtain full value of the framework

A Conceptual Framework to Support Digital Transformation in Manufacturing Using an Integrated Business Process Management Approach

Digital transformation is no longer a future trend, as it has become a necessity for businesses to grow and remain competitive in the market. The fourth industrial revolution, called Industry 4.0, is at the heart of this transformation, and is supporting organizations in achieving benefits that were unthinkable a few years ago. The impact of Industry 4.0 enabling technologies in the manufacturing sector is undeniable, and their correct use offers benefits such as improved productivity and asset performance, reduced inefficiencies, lower production and maintenance costs, while enhancing system agility and flexibility. However, organizations have found the move towards digital transformation extremely challenging for several reasons, including a lack of standardized implementation protocols, emphasis on the introduction of new technologies without assessing their role within the business, the compartmentalization of digital initiatives from the rest of the business, and the large-scale implementation of digitalization without a realistic view of return on investment. To instill confidence and reduce the anxiety surrounding Industry 4.0 implementation in the manufacturing sector, this paper presents a conceptual framework based on business process management (BPM). The framework is informed by a content-centric literature review of Industry 4.0 technologies, its design principles, and BPM method. This integrated framework incorporates the factors that are often overlooked during digital transformation and presents a structured methodology that can be employed by manufacturing organizations to facilitate their transition towards Industry 4.0

Process Mining Workshops

This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included

Process Mining Workshops

This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included

Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband

Erschienen bei: universi - Universitätsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt: Track 1: Produktion & Cyber-Physische Systeme Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities Service Systems, Smart Service Systems and Cyber- Physical Systems—What’s the difference? Towards a Unified Terminology Developing an Industrial IoT Platform – Trade-off between Horizontal and Vertical Approaches Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs Track 2: Logistic Analytics An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model Modeling Delay Propagation and Transmission in Railway Networks What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards? Robust Route Planning in Intermodal Urban Traffic Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design) Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement Strategic Analysis in the Realm of Enterprise Modeling – On the Example of Blockchain-Based Initiatives for the Electricity Sector Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren Novices’ Quality Perceptions and the Acceptance of Process Modeling Grammars Entwicklung einer Definition für Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen Designing a Reference Model for Digital Product Configurators Terminology for Evolving Design Artifacts Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management) eGovernment Competences revisited – A Literature Review on necessary Competences in a Digitalized Public Sector Say Hello to Your New Automated Tutor – A Structured Literature Review on Pedagogical Conversational Agents Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education Conceptualizing Immersion for Individual Learning in Virtual Reality Designing a Flipped Classroom Course – a Process Model The Influence of Risk-Taking on Knowledge Exchange and Combination Gamified Feedback durch Avatare im Mobile Learning Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks Track 5: Data Science & Business Analytics Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness Applied image recognition: guidelines for using deep learning models in practice Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics Leveraging Unstructured Image Data for Product Quality Improvement Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest Knowledge Discovery from CVs: A Topic Modeling Procedure Online Product Descriptions – Boost for your Sales? Entscheidungsunterstützung durch historienbasierte Dienstreihenfolgeplanung mit Pattern A Semi-Automated Approach for Generating Online Review Templates Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung Track 6: Digitale Transformation und Dienstleistungen Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey Taxonomy of Digital Platforms: A Platform Architecture Perspective Value of Star Players in the Digital Age Local Shopping Platforms – Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis A Socio-Technical Approach to Manage Analytics-as-a-Service – Results of an Action Design Research Project Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units Expectations vs. Reality – Benefits of Smart Services in the Field of Tension between Industry and Science Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment Characterising Social Reading Platforms— A Taxonomy-Based Approach to Structure the Field Less Complex than Expected – What Really Drives IT Consulting Value Modularity Canvas – A Framework for Visualizing Potentials of Service Modularity Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things A Taxonomy of Barriers to Digital Transformation Ambidexterity in Service Innovation Research: A Systematic Literature Review Design and success factors of an online solution for cross-pillar pension information Track 7: IT-Management und -Strategie A Frugal Support Structure for New Software Implementations in SMEs How to Structure a Company-wide Adoption of Big Data Analytics The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age Bewertung des Kundennutzens von Chatbots für den Einsatz im Servicedesk Understanding the Benefits of Agile Software Development in Regulated Environments Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies Agile and Attached: The Impact of Agile Practices on Agile Team Members’ Affective Organisational Commitment The Complexity Trap – Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations Platform Openness: A Systematic Literature Review and Avenues for Future Research Competence, Fashion and the Case of Blockchain The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity Track 8: eHealth & alternde Gesellschaft Security and Privacy of Personal Health Records in Cloud Computing Environments – An Experimental Exploration of the Impact of Storage Solutions and Data Breaches Patientenintegration durch Pfadsysteme Digitalisierung in der Stressprävention – eine qualitative Interviewstudie zu Nutzenpotenzialen User Dynamics in Mental Health Forums – A Sentiment Analysis Perspective Intent and the Use of Wearables in the Workplace – A Model Development Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review Understanding the Habitual Use of Wearable Activity Trackers On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Users’ Goal Orientations in Affecting the Benefits Gained Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings Track 9: Krisen- und Kontinuitätsmanagement Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment Track 10: Human-Computer Interaction Towards a Taxonomy of Platforms for Conversational Agent Design Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren Designing Dynamic Decision Support for Electronic Requirements Negotiations Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach The Role of Early User Participation in Discovering Software – A Case Study from the Context of Smart Glasses The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods Track 11: Information Security and Information Privacy Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market What is Your Selfie Worth? A Field Study on Individuals’ Valuation of Personal Data Justification of Mass Surveillance: A Quantitative Study An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms Track 12: Umweltinformatik und nachhaltiges Wirtschaften Kommunikationsfäden im Nadelöhr – Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt Potentiale und Herausforderungen der Materialflusskostenrechnung Computing Incentives for User-Based Relocation in Carsharing Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District Substitution of hazardous chemical substances using Deep Learning and t-SNE A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment A Survey of Smart Energy Services for Private Households Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation – A Literature Review Ein Entscheidungsunterstützungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy Digitale Rückverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones Towards Predictive Energy Management in Information Systems: A Research Proposal A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology Track 13: Digital Work - Social, mobile, smart On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work The Potential of Augmented Reality for Improving Occupational First Aid Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI A Case Study on Cross-Hierarchical Communication in Digital Work Environments ‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp The Effect of Marker-less Augmented Reality on Task and Learning Performance Antecedents for Cyberloafing – A Literature Review Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project Track 14: Geschäftsmodelle und digitales Unternehmertum Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies Special Track 1: Student Track Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail From Facets to a Universal Definition – An Analysis of IoT Usage in Retail Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter Application of Process Mining Techniques to Support Maintenance-Related Objectives How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance? Improving Business Model Configuration through a Question-based Approach The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning Evaluation von ITSM-Tools für Integration und Management von Cloud-Diensten am Beispiel von ServiceNow How Software Promotes the Integration of Sustainability in Business Process Management Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry Special Track 3: Demos & Prototyping Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype Application-oriented robotics in nursing homes Augmented Reality for Set-up Processe Mixed Reality for supporting Remote-Meetings Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities TUCANA: A platform for using local processing power of edge devices for building data-driven services Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation für ältere Nutzerinnen und Nutzer A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach Exergames & Dementia: An interactive System for People with Dementia and their Care-Network Workshops Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik – EMoWI’19) Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research Die Mitarbeiter von morgen - Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati

Proficiency-aware systems

In an increasingly digital world, technological developments such as data-driven algorithms and context-aware applications create opportunities for novel human-computer interaction (HCI). We argue that these systems have the latent potential to stimulate users and encourage personal growth. However, users increasingly rely on the intelligence of interactive systems. Thus, it remains a challenge to design for proficiency awareness, essentially demanding increased user attention whilst preserving user engagement. Designing and implementing systems that allow users to become aware of their own proficiency and encourage them to recognize learning benefits is the primary goal of this research. In this thesis, we introduce the concept of proficiency-aware systems as one solution. In our definition, proficiency-aware systems use estimates of the user's proficiency to tailor the interaction in a domain and facilitate a reflective understanding for this proficiency. We envision that proficiency-aware systems leverage collected data for learning benefit. Here, we see self-reflection as a key for users to become aware of necessary efforts to advance their proficiency. A key challenge for proficiency-aware systems is the fact that users often have a different self-perception of their proficiency. The benefits of personal growth and advancing one's repertoire might not necessarily be apparent to users, alienating them, and possibly leading to abandoning the system. To tackle this challenge, this work does not rely on learning strategies but rather focuses on the capabilities of interactive systems to provide users with the necessary means to reflect on their proficiency, such as showing calculated text difficulty to a newspaper editor or visualizing muscle activity to a passionate sportsperson. We first elaborate on how proficiency can be detected and quantified in the context of interactive systems using physiological sensing technologies. Through developing interaction scenarios, we demonstrate the feasibility of gaze- and electromyography-based proficiency-aware systems by utilizing machine learning algorithms that can estimate users' proficiency levels for stationary vision-dominant tasks (reading, information intake) and dynamic manual tasks (playing instruments, fitness exercises). Secondly, we show how to facilitate proficiency awareness for users, including design challenges on when and how to communicate proficiency. We complement this second part by highlighting the necessity of toolkits for sensing modalities to enable the implementation of proficiency-aware systems for a wide audience. In this thesis, we contribute a definition of proficiency-aware systems, which we illustrate by designing and implementing interactive systems. We derive technical requirements for real-time, objective proficiency assessment and identify design qualities of communicating proficiency through user reflection. We summarize our findings in a set of design and engineering guidelines for proficiency awareness in interactive systems, highlighting that proficiency feedback makes performance interpretable for the user.In einer zunehmend digitalen Welt schaffen technologische Entwicklungen - wie datengesteuerte Algorithmen und kontextabhängige Anwendungen - neuartige Interaktionsmöglichkeiten mit digitalen Geräten. Jedoch verlassen sich Nutzer oftmals auf die Intelligenz dieser Systeme, ohne dabei selbst auf eine persönliche Weiterentwicklung hinzuwirken. Wird ein solches Vorgehen angestrebt, verlangt dies seitens der Anwender eine erhöhte Aufmerksamkeit. Es ist daher herausfordernd, ein entsprechendes Design für Kompetenzbewusstsein (Proficiency Awareness) zu etablieren. Das primäre Ziel dieser Arbeit ist es, eine Methodik für das Design und die Implementierung von interaktiven Systemen aufzustellen, die Nutzer dabei unterstützen über ihre eigene Kompetenz zu reflektieren, um dadurch Lerneffekte implizit wahrnehmen können. Diese Arbeit stellt ein Konzept für fähigkeitsbewusste Systeme (proficiency-aware systems) vor, welche die Fähigkeiten von Nutzern abschätzen, die Interaktion entsprechend anpassen sowie das Bewusstsein der Nutzer über deren Fähigkeiten fördern. Hierzu sollten die Systeme gesammelte Daten von Nutzern einsetzen, um Lerneffekte sichtbar zu machen. Die Möglichkeit der Anwender zur Selbstreflexion ist hierbei als entscheidend anzusehen, um als Motivation zur Verbesserung der eigenen Fähigkeiten zu dienen. Eine zentrale Herausforderung solcher Systeme ist die Tatsache, dass Nutzer - im Vergleich zur Abschätzung des Systems - oft eine divergierende Selbstwahrnehmung ihrer Kompetenz haben. Im ersten Moment sind daher die Vorteile einer persönlichen Weiterentwicklung nicht unbedingt ersichtlich. Daher baut diese Forschungsarbeit nicht darauf auf, Nutzer über vorgegebene Lernstrategien zu unterrichten, sondern sie bedient sich der Möglichkeiten interaktiver Systeme, die Anwendern die notwendigen Hilfsmittel zur Verfügung stellen, damit diese selbst über ihre Fähigkeiten reflektieren können. Einem Zeitungseditor könnte beispielsweise die aktuelle Textschwierigkeit angezeigt werden, während einem passionierten Sportler dessen Muskelaktivität veranschaulicht wird. Zunächst wird herausgearbeitet, wie sich die Fähigkeiten der Nutzer mittels physiologischer Sensortechnologien erkennen und quantifizieren lassen. Die Evaluation von Interaktionsszenarien demonstriert die Umsetzbarkeit fähigkeitsbewusster Systeme, basierend auf der Analyse von Blickbewegungen und Muskelaktivität. Hierbei kommen Algorithmen des maschinellen Lernens zum Einsatz, die das Leistungsniveau der Anwender für verschiedene Tätigkeiten berechnen. Im Besonderen analysieren wir stationäre Aktivitäten, die hauptsächlich den Sehsinn ansprechen (Lesen, Aufnahme von Informationen), sowie dynamische Betätigungen, die die Motorik der Nutzer fordern (Spielen von Instrumenten, Fitnessübungen). Der zweite Teil zeigt auf, wie Systeme das Bewusstsein der Anwender für deren eigene Fähigkeiten fördern können, einschließlich der Designherausforderungen , wann und wie das System erkannte Fähigkeiten kommunizieren sollte. Abschließend wird die Notwendigkeit von Toolkits für Sensortechnologien hervorgehoben, um die Implementierung derartiger Systeme für ein breites Publikum zu ermöglichen. Die Forschungsarbeit beinhaltet eine Definition für fähigkeitsbewusste Systeme und veranschaulicht dieses Konzept durch den Entwurf und die Implementierung interaktiver Systeme. Ferner werden technische Anforderungen objektiver Echtzeitabschätzung von Nutzerfähigkeiten erforscht und Designqualitäten für die Kommunikation dieser Abschätzungen mittels Selbstreflexion identifiziert. Zusammengefasst sind die Erkenntnisse in einer Reihe von Design- und Entwicklungsrichtlinien für derartige Systeme. Insbesondere die Kommunikation, der vom System erkannten Kompetenz, hilft Anwendern, die eigene Leistung zu interpretieren

Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt

Analysing the treatment pathways in real-world health data can provide valuable insight for clinicians and decision-makers. However, the procedures for acquiring real-world data for research can be restrictive, time-consuming and risks disclosing identifiable information. Synthetic data might enable representative analysis without direct access to sensitive data. In the first part of our paper, we propose an approach for grading synthetic data for process analysis based on its fidelity to relationships found in real-world data. In the second part, we apply our grading approach by assessing cancer patient pathways in a synthetic healthcare dataset (The Simulacrum provided by the English National Cancer Registration and Analysis Service) using process mining. Visualisations of the patient pathways within the synthetic data appear plausible, showing relationships between events confirmed in the underlying non-synthetic data. Data quality issues are also present within the synthetic data which reflect real-world problems and artefacts from the synthetic dataset’s creation. Process mining of synthetic data in healthcare is an emerging field with novel challenges. We conclude that researchers should be aware of the risks when extrapolating results produced from research on synthetic data to real-world scenarios and assess findings with analysts who are able to view the underlying data

Measuring the impact of COVID-19 on hospital care pathways

Care pathways in hospitals around the world reported significant disruption during the recent COVID-19 pandemic but measuring the actual impact is more problematic. Process mining can be useful for hospital management to measure the conformance of real-life care to what might be considered normal operations. In this study, we aim to demonstrate that process mining can be used to investigate process changes associated with complex disruptive events. We studied perturbations to accident and emergency (A &E) and maternity pathways in a UK public hospital during the COVID-19 pandemic. Co-incidentally the hospital had implemented a Command Centre approach for patient-flow management affording an opportunity to study both the planned improvement and the disruption due to the pandemic. Our study proposes and demonstrates a method for measuring and investigating the impact of such planned and unplanned disruptions affecting hospital care pathways. We found that during the pandemic, both A &E and maternity pathways had measurable reductions in the mean length of stay and a measurable drop in the percentage of pathways conforming to normative models. There were no distinctive patterns of monthly mean values of length of stay nor conformance throughout the phases of the installation of the hospital’s new Command Centre approach. Due to a deficit in the available A &E data, the findings for A &E pathways could not be interpreted

Digital transformation and business models in maritime trade supply chains

rmation, and the adoption of certain business models in the context of the maritime trade supply chain industry. Most specifically, it enquires the impact that the former might have on the latter. The question’s relevance is twofold. On the one hand, the pace of both technological and business innovation has accelerated during the last 15 years, especially for certain industries. On the other hand, while there has been some degree of innovation in maritime trade supply chains, the industry lags behind other economic sectors; still working with technologies, business models and processes that predate the contemporary globalization era. Thus, understanding how and why the adoption of certain technologies might generate new ways of creating, delivering and capturing value in maritime trade supply chains, becomes a significant undertaking from both a theoretical and practical perspective. To address this enquiry, we have conducted four separate studies in this dissertation. In Chapter 2, we conduct a theoretical synthesis in order to provide a general theoretical background for the research conducted in the subsequent chapters. Chapter 3 is mainly concerned with physical flows. We investigate what impact does the adoption of Industry 4.0 technologies by seaports might have on their business models. To define these, we refer to the classification of seaports across a generational ladder: from 1st generation to 5th generation ports; referring as well to the novel construct of Port 4.0, and the commonly used “smart port” term. In Chapter 4 we turn to information flows. Most specifically, we explore the influence that distributed ledger technology (DLT) —most commonly known as blockchain— might have on the adoption of sustainable business models in the shipping industry. Chapter 5 focus on financial flows. It presents a design science study on a problem known as the trade finance gap; understood as the difference between the total supply of and demand for trade finance in international trade on a global level. The main question addressed is how to design a new business model that would address the causes behind the said trade finance gap. To conclude, this dissertation explores how digital transformation affects or impacts business models in maritime trade supply chains. It does so, by conducting studies on different contexts, each of them primarily focused on either physical, information or financial flows. From a theoretical perspective, the dissertation provides insights on the interplay between the three flows in maritime trade; with a special focus on how digital transformation, by affecting this interplay, drives or contributes to the adoption of new business models. Most specifically, Industry 4.0 technologies like IoT or DLT improve the way information flows interact with physical and financial flows. From a practical/managerial perspective, the research provides useful insights for business executives and policy makers, on how digital transformation should be faced at the strategic, tactical and operational level. By understanding how new technologies affect the ways in which value is created, delivered and captured, decision makers can design better business models, increasing competitiveness; or implement more adequate policies and strategies. Most importantly, the dissertation aims to serve as a source of ideas for those entrepreneurs who, through their startups, will design and develop innovative use cases and business models for the maritime industry.Aquesta investigació doctoral explora la interrelació entre els fenòmens contemporanis coneguts com a transformació digital i l’adopció de certs models de negoci en el context de la indústria de la cadena de subministrament del comerç marítim. Més concretament, indaga sobre l’impacte que els primers poguessin tenir sobre la segona. La rellevància de la pregunta és doble. D’una banda, el ritme de la innovació tant tecnològica com empresarial s’ha accelerat durant els darrers 15 anys, especialment per a determinades indústries. D’altra banda, si bé hi ha hagut cert grau d’innovació a les cadenes de subministrament del comerç marítim, la indústria va darrera d’altres sectors econòmics; segueix treballant amb tecnologies, models de negocis i processos anteriors a l’era de la globalització contemporània. Per tant, comprendre com i per què l’adopció de certes tecnologies pot generar noves maneres de crear, distribuir i capturar valor a les cadenes de subministrament del comerç marítim es converteix en una tasca important tant des d’una perspectiva teòrica com pràctica. Per indagar-hi, hem realitzat quatre estudis en aquesta dissertació. Al Capítol 2, duem a terme una síntesi teòrica per tal de proporcionar un marc teòric general per a la recerca realitzada en els capítols següents. El capítol 3 s’ocupa principalment dels fluxos físics. Investiguem quin impacte podria tenir l’adopció de tecnologies Indústria 4.0 per part dels ports marítims als seus models de negoci. Al Capítol 4 passem als fluxos d’informació. Més específicament, explorem la influència que la tecnologia de distributed ledger (DLT), més comunament coneguda com a blockchain, podria tenir en l’adopció de models de negoci sostenibles a la indústria del transport marítim. El capítol 5 se centra en els fluxos financers. Presenta un estudi de disseny sobre un problema conegut com la bretxa de finançament del comerç (trade finance gap); entès com la diferència entre l’oferta i la demanda total de finançament al comerç internacional a nivell global. Per concloure, aquesta dissertació explora com la transformació digital afecta o impacta els models de negoci a les cadenes de subministrament del comerç marítim. Ho fa mitjançant la realització d’estudis sobre diferents contextos, cadascun centrat principalment en els fluxos físics, d’informació o financers. Des d’una perspectiva teòrica, la dissertació proporciona informació sobre la interacció entre els tres fluxos al comerç marítim; amb un enfocament especial com la transformació digital, en afectar aquesta interacció, impulsa o contribueix a l’adopció de nous models de negoci. Més específicament, les tecnologies d'industria 4.0 com IoT o DLT milloren la manera com els fluxos d’informació interactuen amb els fluxos físics i financers. Des d’una perspectiva pràctica/gerencial, la recerca proporciona informació útil per als executius de negocis i els dissenyadors de polítiques sobre com cal enfrontar la transformació digital a nivell estratègic, tàctic i operatiu. En comprendre com les noves tecnologies afecten les formes en què es crea, distribueix i captura el valor, els prenedors de decisions poden dissenyar millors models de negoci, augmentant la competitivitat; o implementar polítiques i estratègies més adequades. El que és més important, la dissertació té com a objectiu servir com a font d’idees per als emprenedors que, a través de les startups, dissenyaran i desenvoluparan casos d’ús innovadors i models de negoci per a la indústria marítima.Esta investigación doctoral explora la interrelación entre los fenómenos contemporáneos conocidos como transformación digital y la adopción de ciertos modelos de negocio en el contexto de la industria de la cadena de suministro del comercio marítimo. Más concretamente, indaga sobre el impacto que los primeros pudieran tener sobre la segunda. La relevancia de la pregunta es doble. Por un lado, el ritmo de la innovación tanto tecnológica como empresarial se ha acelerado durante los últimos 15 años, especialmente para determinadas industrias. Por otro lado, si bien ha habido cierto grado de innovación en las cadenas de suministro del comercio marítimo, la industria va a la zaga de otros sectores económicos; sigue trabajando con tecnologías, modelos de negocios y procesos que son anteriores a la era de la globalización contemporánea. Por lo tanto, comprender cómo y por qué la adopción de ciertas tecnologías puede generar nuevas formas de crear, distribuir y capturar valor en las cadenas de suministro del comercio marítimo se convierte en una tarea importante tanto desde una perspectiva teórica como práctica. Para indagar sobre ello, hemos realizado cuatro estudios en esta disertación. En el Capítulo 2, llevamos a cabo una síntesis teórica con el fin de proporcionar un marco teórico general para la investigación realizada en los capítulos siguientes. Para ello, comenzamos desarrollando una base bibliográfica, fundamentada en 3 disciplinas: Estudios Marítimos, Ciencias de la Gestión e Investigación de Sistemas de Información. El enfoque central se basa entonces en la construcción de los tres flujos presentes en las cadenas de suministro del comercio marítimo: flujos físicos, de información y financieros. Para cada uno de los flujos nos hacemos tres preguntas básicas: ¿qué? (describiendo el contenido del flujo), ¿cómo? (describiendo los mecanismos), y ¿por qué? (comprender qué impulsa el flujo en cuestión). Para los flujos físicos, nos referimos a su contenido con el término global de “carga”, el mecanismo como multimodalidad y la causa impulsora como producción o consumo. Para los flujos de información, el contenido son datos o información (en sentido estricto), el mecanismo es en papel o electrónico, y la causa impulsora es su rol como recurso para la toma de decisiones. Los flujos financieros se refieren al dinero, que fluye ya sea por medio de pagos o créditos, bajo un modelo de flujo circular como lógica impulsora. Luego, el capítulo ofrece una explicación básica de cómo se integran los tres flujos: los flujos físicos y financieros se basan en intercambios mutuos entre actores a lo largo de la cadena de suministro (que se mueven en direcciones opuestas), mientras que los flujos de información se mueven en ambas direcciones, apoyando a los dos primeros. Finalmente, el capítulo tiene como objetivo contribuir a la comprensión del concepto de modelo de negocio, observando que los modelos de negocio pueden ser representados por descripciones específicas de los flujos físicos, financieros y de información entre una empresa y otros actores económicos. El Capítulo 3 se ocupa principalmente de los flujos físicos. Investigamos qué impacto podría tener la adopción de tecnologías Industria 4.0 por parte de los puertos marítimos en sus modelos de negocio. Para definirlos, nos referimos a la clasificación de los puertos marítimos a través de una escala generacional: desde puertos de 1ra hasta 5ta generación; refiriéndonos también al nuevo concepto de Puerto 4.0, y al común término “puerto inteligente”. Basándonos en la literatura de Estudios Marítimos, proporcionamos una lista de características y funcionalidades que caracterizarían a un puerto inteligente y ofrecemos una explicación general sobre lo que debería significar “inteligente” o “inteligencia” en este contexto. A continuación, desarrollamos un modelo conceptual expresado como una serie de proposiciones, construidas en torno a dos mecanismos de influencia tomados de las Ciencias de Gestión: el impulso tecnológico (technology push) y la atracción del mercado (market pull). Más específicamente, el modelo pretende explicar cómo las tecnologías de Industria 4.0, a través de estos mecanismos, influyen en los modelos de negocio de los puertos marítimos en tres áreas: operaciones, estrategias e inversiones. Para evaluar este modelo conceptual, llevamos a cabo un estudio de caso exploratorio sobre el puerto de Barcelona, basado en el análisis de contenido de fuentes documentales (especialmente el tercer y cuarto planes estratégicos), así como una entrevista semiestructurada. Nuestra evaluación muestra una primacía de los mecanismos de influencia del mercado y la evaluación comparativa (benchmarking), como la principal forma en que la adopción de la Industria 4.0 impulsa la innovación de modelos de negocio, al menos para los puertos marítimos con las características y circunstancias de Barcelona. En el Capítulo 4 pasamos a los flujos de información. Más específicamente, exploramos la influencia que la tecnología de distributed ledger (DLT), más comúnmente conocida como blockchain, podría tener en la adopción de modelos de negocio sostenibles en la industria del transporte marítimo. Uno de los pilares teóricos centrales del estudio es la concepción de la información como recurso, proporcionada por la disciplina Gestión de Recursos de Información. Sobre esta concepción, proponemos el concepto de la circularidad de la información, que tiene lugar cuando la información que se genera como subproducto o resultado de procesos comerciales, se utiliza luego como entrada/recurso para procesos posteriores. Posteriormente, desarrollamos un modelo conceptual que representa la relación entre DLT y el transporte marítimo sostenible, expresado como 5 proposiciones. Para evaluar el modelo, realizamos un estudio de caso exploratorio sobre TradeLens, una plataforma de información basada en DLT para cadenas de suministro globales, utilizando la técnica de análisis de contenido. Nuestra evaluación preliminar encuentra que la DLT, al permitir una mayor circularidad de la información y comportamientos asociativos entre los actores de la cadena de suministro, se convierte en un catalizador para modelos de negocio sostenibles, que a su vez impulsan prácticas sostenibles en la industria del transporte marítimo. La investigación amplía la literatura previa sobre la tecnología DLT y su impacto en la economía circular, los modelos de negocios asociativos y la coordinación inter-empresarial en general, en el contexto del transporte marítimo. El capítulo 5 se centra en los flujos financieros. Presenta un estudio de diseño sobre un problema conocido como la brecha de financiación del comercio (trade finance gap); entendido como la diferencia entre la oferta y la demanda total de financiamiento en el comercio internacional a nivel global. La principal pregunta que se aborda es cómo diseñar un nuevo modelo de negocio que aborde las causas detrás de dicha brecha de financiamiento comercial. Como primer paso, basándonos en literatura académica y gris, clasificamos un conjunto de causas detrás de la problemática, según estén relacionadas con la oferta (es decir, que pertenezcan a la capacidad de las instituciones financieras para proporcionar financiamiento comercial) relacionadas con la demanda (relativas a las empresas que necesitan financiación comercial), o ambas. Adentrándonos en la teoría de la intermediación financiera, analizamos a continuación el novedoso concepto de finanzas descentralizadas (DeFi), proponiendo un significado más amplio que el prevaleciente, que lo reduce a funciones basadas en tecnología blockchain y criptomonedas. Nuestro significado más amplio se basa en cuatro perspectivas: DeFi como desintermediación, como disminución de la concentración, como desagregación de las funciones financieras y como financiación alternativa. Luego, el capítulo presenta un modelo de un sistema basado en DeFi para la financiación del comercio, más específicamente, para el procesamiento de créditos documentarios. En él, describimos cómo el modelo difiere y mejora el instrumento de financiación comercial más tradicional: la carta de crédito. Lo que es más importante, en línea con la metodología de Investigación de Diseño Científico (Design Science Research), evaluamos cómo el modelo aborda las causas detrás de la problemática de la brecha de financiamiento comercial, así como sus contribuciones teóricas. La conclusión es que un modelo basado en DeFi para la financiación del comercio puede reducir los costes de transacción, aumentar la liquidez y proporcionar mejor información sobre las empresas para mejorar su evaluación de la solvencia. Para concluir, esta disertación explora cómo la transformación digital afecta o impacta los modelos de negocio en las cadenas de suministro del comercio marítimo. Lo hace mediante la realización de estudios sobre diferentes contextos, cada uno de ellos centrado principalmente en los flujos físicos, de información o financieros. Desde una perspectiva teórica, la disertación proporciona información sobre la interacción entre los tres flujos en el comercio marítimo; con un enfoque especial en cómo la transformación digital, al afectar esta interacción, impulsa o contribuye a la adopción de nuevos modelos de negocio. Más específicamente, las tecnologías de Industria 4.0 como IoT o DLT mejoran la forma en que los flujos de información interactúan con los flujos físicos y financieros. Desde una perspectiva práctica/gerencial, la investigación proporciona información útil para los ejecutivos de negocios y los diseñadores de políticas sobre cómo se debe enfrentar la transformación digital a nivel estratégico, táctico y operativo. Al comprender cómo las nuevas tecnologías afectan las formas en que se crea, distribuye y captura el valor, los tomadores de decisiones pueden diseñar mejores modelos de negocio, aumentando la competitividad; o implementar políticas y estrategias más adecuadas. Lo que es más importante, la disertación tiene como objetivo servir como fuente de ideas para aquellos emprendedores que, a través de sus startups, diseñarán y desarrollarán casos de uso innovadores y modelos de negocio para la industria marítima.Postprint (published version

24th International Conference on Information Modelling and Knowledge Bases

In the last three decades information modelling and knowledge bases have become essentially important subjects not only in academic communities related to information systems and computer science but also in the business area where information technology is applied. The series of European – Japanese Conference on Information Modelling and Knowledge Bases (EJC) originally started as a co-operation initiative between Japan and Finland in 1982. The practical operations were then organised by professor Ohsuga in Japan and professors Hannu Kangassalo and Hannu Jaakkola in Finland (Nordic countries). Geographical scope has expanded to cover Europe and also other countries. Workshop characteristic - discussion, enough time for presentations and limited number of participants (50) / papers (30) - is typical for the conference. Suggested topics include, but are not limited to: 1. Conceptual modelling: Modelling and specification languages; Domain-specific conceptual modelling; Concepts, concept theories and ontologies; Conceptual modelling of large and heterogeneous systems; Conceptual modelling of spatial, temporal and biological data; Methods for developing, validating and communicating conceptual models. 2. Knowledge and information modelling and discovery: Knowledge discovery, knowledge representation and knowledge management; Advanced data mining and analysis methods; Conceptions of knowledge and information; Modelling information requirements; Intelligent information systems; Information recognition and information modelling. 3. Linguistic modelling: Models of HCI; Information delivery to users; Intelligent informal querying; Linguistic foundation of information and knowledge; Fuzzy linguistic models; Philosophical and linguistic foundations of conceptual models. 4. Cross-cultural communication and social computing: Cross-cultural support systems; Integration, evolution and migration of systems; Collaborative societies; Multicultural web-based software systems; Intercultural collaboration and support systems; Social computing, behavioral modeling and prediction. 5. Environmental modelling and engineering: Environmental information systems (architecture); Spatial, temporal and observational information systems; Large-scale environmental systems; Collaborative knowledge base systems; Agent concepts and conceptualisation; Hazard prediction, prevention and steering systems. 6. Multimedia data modelling and systems: Modelling multimedia information and knowledge; Contentbased multimedia data management; Content-based multimedia retrieval; Privacy and context enhancing technologies; Semantics and pragmatics of multimedia data; Metadata for multimedia information systems. Overall we received 56 submissions. After careful evaluation, 16 papers have been selected as long paper, 17 papers as short papers, 5 papers as position papers, and 3 papers for presentation of perspective challenges. We thank all colleagues for their support of this issue of the EJC conference, especially the program committee, the organising committee, and the programme coordination team. The long and the short papers presented in the conference are revised after the conference and published in the Series of “Frontiers in Artificial Intelligence” by IOS Press (Amsterdam). The books “Information Modelling and Knowledge Bases” are edited by the Editing Committee of the conference. We believe that the conference will be productive and fruitful in the advance of research and application of information modelling and knowledge bases. Bernhard Thalheim Hannu Jaakkola Yasushi Kiyok