41 research outputs found
Blockchains for Business Process Management - Challenges and Opportunities
Blockchain technology promises a sizable potential for executing
inter-organizational business processes without requiring a central party
serving as a single point of trust (and failure). This paper analyzes its
impact on business process management (BPM). We structure the discussion using
two BPM frameworks, namely the six BPM core capabilities and the BPM lifecycle.
This paper provides research directions for investigating the application of
blockchain technology to BPM.Comment: Preprint for ACM TMI
KoostööÀriprotsesside lĂ€biviimine plokiahelal: sĂŒsteem
TaÌnapaÌeval peavad organisatsioonid tegema omavahel koostoÌoÌd, et kasutada aÌra uÌksteise taÌiendavaid voÌimekusi ning seelaÌbi pakkuda oma klientidele parimaid tooteid ja teenuseid. Selleks peavad organisatsioonid juhtima aÌriprotsesse, mis uÌletavad nende organisatsioonilisi piire. Selliseid protsesse nimetatakse koostoÌoÌaÌriprotsessideks. UÌks peamisi takistusi koostoÌoÌaÌriprotsesside elluviimisel on osapooltevahelise usalduse puudumine. Plokiahel loob detsentraliseeritud pearaamatu, mida ei saa voÌltsida ning mis toetab nutikate lepingute taÌitmist. Nii on voÌimalik teha koostoÌoÌd ebausaldusvaÌaÌrsete osapoolte vahel ilma kesksele asutusele tuginemata. Paraku on aga aÌriprotsesside laÌbiviimine selliseid madala taseme plokiahela elemente kasutades tuÌlikas, veaohtlik ja erioskusi noÌudev. Seevastu juba vaÌljakujunenud aÌriprotsesside juhtimissuÌsteemid (Business Process Management System â BPMS) pakuvad kaÌepaÌraseid abstraheeringuid protsessidele orienteeritud rakenduste kiireks arendamiseks. KaÌesolev doktoritoÌoÌ kaÌsitleb koostoÌoÌaÌriprotsesside automatiseeritud laÌbiviimist plokiahela tehnoloogiat kasutades, kombineerides traditsioonliste BPMS- ide arendusvoÌimalused plokiahelast tuleneva suurendatud usaldusega. Samuti kaÌsitleb antud doktoritoÌoÌ kuÌsimust, kuidas pakkuda tuge olukordades, milles uued osapooled voÌivad jooksvalt protsessiga liituda, mistoÌttu on vajalik tagada paindlikkus aÌriprotsessi marsruutimisloogika muutmise osas. DoktoritoÌoÌ uurib tarkvaraarhitektuurilisi laÌhenemisviise ja modelleerimise kontseptsioone, pakkudes vaÌlja disainipoÌhimoÌtteid ja noÌudeid, mida rakendatakse uudsel plokiahela baasil loodud aÌriprotsessi juhtimissuÌsteemil CATERPILLAR. CATERPILLAR-i suÌsteem toetab kahte laÌhenemist plokiahelal poÌhinevate protsesside rakendamiseks, laÌbiviimiseks ja seireks: kompileeritud ja toÌlgendatatud. Samuti toetab see kahte kontrollitud paindlikkuse mehhanismi, mille abil saavad protsessis osalejad uÌhiselt otsustada, kuidas protsessi selle taÌitmise ajal uuendada ning anda ja eemaldada osaliste juurdepaÌaÌsuoÌigusi.Nowadays, organizations are pressed to collaborate in order to take advantage of their complementary capabilities and to provide best-of-breed products and services to their customers. To do so, organizations need to manage business processes that span beyond their organizational boundaries. Such processes are called collaborative business processes. One of the main roadblocks to implementing collaborative business processes is the lack of trust between the participants. Blockchain provides a decentralized ledger that cannot be tamper with, that supports the execution of programs called smart contracts. These features allow executing collaborative processes between untrusted parties and without relying on a central authority. However, implementing collaborative business processes in blockchain can be cumbersome, error-prone and requires specialized skills. In contrast, established Business Process Management Systems (BPMSs) provide convenient abstractions for rapid development of process-oriented applications. This thesis addresses the problem of automating the execution of collaborative business processes on top of blockchain technology in a way that takes advantage of the trust-enhancing capabilities of this technology while offering the development convenience of traditional BPMSs. The thesis also addresses the question of how to support scenarios in which new parties may be onboarded at runtime, and in which parties need to have the flexibility to change the default routing logic of the business process. We explore architectural approaches and modelling concepts, formulating design principles and requirements that are implemented in a novel blockchain-based BPMS named CATERPILLAR. The CATERPILLAR system supports two methods to implement, execute and monitor blockchain-based processes: compiled and interpreted. It also supports two mechanisms for controlled flexibility; i.e., participants can collectively decide on updating the process during its execution as well as granting and revoking access to parties.https://www.ester.ee/record=b536494
Bridging the gap between textual and formal business process representations
Tesi en modalitat de compendi de publicacionsIn the era of digital transformation, an increasing number of organizations are start ing to think in terms of business processes. Processes are at the very heart of each business, and must be understood and carried out by a wide range of actors, from both technical and non-technical backgrounds alike.
When embracing digital transformation practices, there is a need for all involved parties to be aware of the underlying business processes in an organization. However, the representational complexity and biases of the state-of-the-art modeling notations pose a challenge in understandability. On the other hand, plain language representations, accessible by nature and easily understood by everyone, are often frowned upon by technical specialists due to their ambiguity.
The aim of this thesis is precisely to bridge this gap: Between the world of the techni cal, formal languages and the world of simpler, accessible natural languages. Structured as an article compendium, in this thesis we present four main contributions to address specific problems in the intersection between the fields of natural language processing and business process management.A lâera de la transformaciĂł digital, cada vegada mĂ©s organitzacions comencen a pensar en termes de processos de negoci. Els processos sĂłn el nucli principal de tota empresa i, com a tals, han de ser fĂ cilment comprensibles per un ampli ventall de rols, tant perfils tĂšcnics com no-tĂšcnics. Quan sâadopta la transformaciĂł digital, Ă©s necessari que totes les parts involucrades estiguin ben informades sobre els protocols implantats com a part del procĂ©s de digitalitzaciĂł. Tot i aixĂČ, la complexitat i biaixos de representaciĂł dels llenguatges de modelitzaciĂł que actualment conformen lâestat de lâart sovint en dificulten la seva com prensiĂł. Dâaltra banda, les representacions basades en documentaciĂł usant llenguatge natural, accessibles per naturalesa i fĂ cilment comprensibles per tothom, moltes vegades sĂłn vistes com un problema pels perfils mĂ©s tĂšcnics a causa de la presĂšncia dâambigĂŒitats en els textos. Lâobjectiu dâaquesta tesi Ă©s precisament el de superar aquesta distĂ ncia: La distĂ ncia entre el mĂłn dels llenguatges tĂšcnics i formals amb el dels llenguatges naturals, mĂ©s accessibles i senzills. Amb una estructura de compendi dâarticles, en aquesta tesi presentem quatre grans lĂnies de recerca per adreçar problemes especĂfics en aquesta intersecciĂł entre les tecnologies dâanĂ lisi de llenguatge natural i la gestiĂł dels processos de negoci.Postprint (published version
Ăriprotsesside ajaliste nĂ€itajate selgitatav ennustav jĂ€lgimine
Kaasaegsed ettevĂ”tte infosĂŒsteemid vĂ”imaldavad ettevĂ”tetel koguda detailset informatsiooni Ă€riprotsesside tĂ€itmiste kohta. Eelnev koos masinĂ”ppe meetoditega vĂ”imaldab kasutada andmejuhitavaid ja ennustatavaid lĂ€henemisi Ă€riprotsesside jĂ”udluse jĂ€lgimiseks. Kasutades ennustuslike Ă€riprotsesside jĂ€lgimise tehnikaid on vĂ”imalik jĂ”udluse probleeme ennustada ning soovimatu tegurite mĂ”ju ennetavalt leevendada.
TĂŒĂŒpilised kĂŒsimused, millega tegeleb ennustuslik protsesside jĂ€lgimine on âmillal antud Ă€riprotsess lĂ”ppeb?â vĂ”i âmis on kĂ”ige tĂ”enĂ€olisem jĂ€rgmine sĂŒndmus antud Ă€riprotsessi jaoks?â. Suurim osa olemasolevatest lahendustest eelistavad tĂ€psust selgitatavusele. Praktikas, selgitatavus on ennustatavate tehnikate tĂ€htis tunnus. Ennustused, kas protsessi tĂ€itmine ebaĂ”nnestub vĂ”i selle tĂ€itmisel vĂ”ivad tekkida raskused, pole piisavad. On oluline kasutajatele seletada, kuidas on selline ennustuse tulemus saavutatud ning mida saab teha soovimatu tulemuse ennetamiseks.
Töö pakub vÀlja kaks meetodit ennustatavate mudelite konstrueerimiseks, mis vÔimaldavad jÀlgida Àriprotsesse ning keskenduvad selgitatavusel. Seda saavutatakse ennustuse lahtivÔtmisega elementaarosadeks. NÀiteks, kui ennustatakse, et Àriprotsessi lÔpuni on jÀÀnud aega 20 tundi, siis saame anda seletust, et see aeg on moodustatud kÔikide seni kÀsitlemata tegevuste lÔpetamiseks vajalikust ajast. Töös vÔrreldakse omavahel eelmainitud meetodeid, kÀsitledes Àriprotsesse erinevatest valdkondadest. Hindamine toob esile erinevusi selgitatava ja tÀpsusele pÔhinevale lÀhenemiste vahel.
Töö teaduslik panus on ennustuslikuks protsesside jĂ€lgimiseks vabavaralise tööriista arendamine. SĂŒsteemi nimeks on Nirdizati ning see sĂŒsteem vĂ”imaldab treenida ennustuslike masinĂ”ppe mudeleid, kasutades nii töös kirjeldatud meetodeid kui ka kolmanda osapoole meetodeid. Hiljem saab treenitud mudeleid kasutada hetkel kĂ€ivate Ă€riprotsesside tulemuste ennustamiseks, mis saab aidata kasutajaid reaalajas.Modern enterprise systems collect detailed data about the execution of the business processes they support. The widespread availability of such data in companies, coupled with advances in machine learning, have led to the emergence of data-driven and predictive approaches to monitor the performance of business processes. By using such predictive process monitoring approaches, potential performance issues can be anticipated and proactively mitigated.
Various approaches have been proposed to address typical predictive process monitoring questions, such as what is the most likely continuation of an ongoing process instance, or when it will finish. However, most existing approaches prioritize accuracy over explainability. Yet in practice, explainability is a critical property of predictive methods. It is not enough to accurately predict that a running process instance will end up in an undesired outcome. It is also important for users to understand why this prediction is made and what can be done to prevent this undesired outcome.
This thesis proposes two methods to build predictive models to monitor business processes in an explainable manner. This is achieved by decomposing a prediction into its elementary components. For example, to explain that the remaining execution time of a process execution is predicted to be 20 hours, we decompose this prediction into the predicted execution time of each activity that has not yet been executed. We evaluate the proposed methods against each other and various state-of-the-art baselines using a range of business processes from multiple domains. The evaluation reaffirms a fundamental trade-off between explainability and accuracy of predictions.
The research contributions of the thesis have been consolidated into an open-source tool for predictive business process monitoring, namely Nirdizati. It can be used to train predictive models using the methods described in this thesis, as well as third-party methods. These models are then used to make predictions for ongoing process instances; thus, the tool can also support users at runtime
Process Mining Handbook
This is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. This volume contains 17 chapters organized into the following topical sections: Introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing
Sustainable Smart Cities and Smart Villages Research
ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [There is ever more research on smart cities and new interdisciplinary approaches proposed on the study of smart cities. At the same time, problems pertinent to communities inhabiting rural areas are being addressed, as part of discussions in contigious fields of research, be it environmental studies, sociology, or agriculture. Even if rural areas and countryside communities have previously been a subject of concern for robust policy frameworks, such as the European Unionâs Cohesion Policy and Common Agricultural Policy Arguably, the concept of âthe villageâ has been largely absent in the debate. As a result, when advances in sophisticated information and communication technology (ICT) led to the emergence of a rich body of research on smart cities, the application and usability of ICT in the context of a village has remained underdiscussed in the literature. Against this backdrop, this volume delivers on four objectives. It delineates the conceptual boundaries of the concept of âsmart villageâ. It highlights in which ways âsmart villageâ is distinct from âsmart cityâ. It examines in which ways smart cities research can enrich smart villages research. It sheds light on the smart village research agenda as it unfolds in European and global contexts.
Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband
Erschienen bei: universi - UniversitÀtsverlag 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 SystemsâWhatâs the difference? Towards a Unified Terminology
Developing an Industrial IoT Platform â 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 Customersâ Behavioral Intention to Use Ridepooling Services â 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 â On the Example of Blockchain-Based Initiatives for the Electricity Sector
Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren
Novicesâ Quality Perceptions and the Acceptance of Process Modeling Grammars
Entwicklung einer Definition fĂŒr 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 â A Literature Review on necessary Competences in a Digitalized Public Sector
Say Hello to Your New Automated Tutor â 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 â 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 â 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 â 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 â Boost for your Sales?
EntscheidungsunterstĂŒtzung 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 fĂŒr 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 â Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis
A Socio-Technical Approach to Manage Analytics-as-a-Service â Results of an Action Design Research Project
Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units
Expectations vs. Reality â 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 Platformsâ A Taxonomy-Based Approach to Structure the Field
Less Complex than Expected â What Really Drives IT Consulting Value
Modularity Canvas â 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 fĂŒr 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 Membersâ Affective Organisational Commitment
The Complexity Trap â 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 â An Experimental Exploration of the Impact of Storage Solutions and Data Breaches
Patientenintegration durch Pfadsysteme
Digitalisierung in der StressprĂ€vention â eine qualitative Interviewstudie zu Nutzenpotenzialen
User Dynamics in Mental Health Forums â A Sentiment Analysis Perspective
Intent and the Use of Wearables in the Workplace â 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 Usersâ 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 KontinuitÀtsmanagement
Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland
Fake News Perception in Germany: A Representative Study of Peopleâs 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 â 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 Individualsâ 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
KommunikationsfĂ€den im Nadelöhr â Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt
Potentiale und Herausforderungen der Materialflusskostenrechnung
Computing Incentives for User-Based Relocation in Carsharing
Sustainabilityâs 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 â A Literature Review
Ein EntscheidungsunterstĂŒtzungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse
Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy
Digitale RĂŒckverfolgbarkeit 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
âShow Me Your People Skillsâ - 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 â 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: GeschÀftsmodelle 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 â 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 fĂŒr 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 âNeedminingâ 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 fĂŒr Ă€ltere 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 â EMoWIâ19)
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 kĂŒnftiger Mitarbeiter im Bereich Business Analytics
Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati
DĂ©tection des Ă©carts de tendance et analyse prĂ©dictive pour le traitement des flux dâĂ©vĂ©nements en temps rĂ©el
Les systĂšmes dâinformation produisent diffĂ©rents types de journaux dâĂ©vĂ©nements. Les donnĂ©es historiques contenues dans les journaux dâĂ©vĂ©nements peuvent rĂ©vĂ©ler des informations importantes sur lâexĂ©cution dâun processus mĂ©tier. Le volume croissant de ces donnĂ©es collectĂ©es, pour ĂȘtre utile, doit ĂȘtre traitĂ© afin dâextraire des informations pertinentes. Dans de nombreuses situations, il peut ĂȘtre souhaitable de rechercher des tendances dans ces journaux. En particulier, les tendances calculĂ©es par le traitement et lâanalyse de la sĂ©quence dâĂ©vĂ©nements gĂ©nĂ©rĂ©s par plusieurs instances du mĂȘme processus servent de base pour produire des prĂ©visions sur les exĂ©cutions actuelles du processus. Lâobjectif de cette thĂšse est de proposer un cadre gĂ©nĂ©rique pour lâanalyse des tendances sur ces flux dâĂ©vĂ©nement, en temps rĂ©el. En premier lieu, nous montrons comment des tendances de diffĂ©rents types peuvent ĂȘtre calculĂ©es sur des journaux dâĂ©vĂ©nements en temps rĂ©el, Ă lâaide dâun cadre gĂ©nĂ©rique appelĂ© workflow de distance de tendance. De multiples calculs courants sur les flux dâĂ©vĂ©nements sâavĂšrent ĂȘtre des cas particuliers de ce flux de travail, selon la façon dont diffĂ©rents paramĂštres de flux de travail sont dĂ©finis. La suite naturelle de lâanalyse statique des tendances est lâusage des algorithmes dâapprentissage. Nous joignons alors les concepts de traitement de flux dâĂ©vĂ©nements et dâapprentissage automatique pour crĂ©er un cadre qui permet le calcul de diffĂ©rents types de prĂ©dictions sur les journaux dâĂ©vĂ©nements. Le cadre proposĂ© est gĂ©nĂ©rique : en fournissant diffĂ©rentes dĂ©finitions Ă une poignĂ©e de fonctions dâĂ©vĂ©nement, plusieurs types de prĂ©dictions diffĂ©rents peuvent ĂȘtre calculĂ©s Ă lâaide du mĂȘme flux de travail de base. Les deux approches ont Ă©tĂ© mises en oeuvre et Ă©valuĂ©es expĂ©rimentalement en Ă©tendant un moteur de traitement de flux dâĂ©vĂ©nements existant, appelĂ© BeepBeep. Les rĂ©sultats expĂ©rimentaux montrent que les Ă©carts par rapport Ă une tendance de rĂ©fĂ©rence peuvent ĂȘtre dĂ©tectĂ©s en temps rĂ©el pour des flux produisant jusquâĂ des milliers dâĂ©vĂ©nements par seconde
OnCreate and the virtual teammate: an analysis of online creative processes and remote collaboration
This paper explores research undertaken by a consortium of 10 universities from across Europe as part of an EU Erasmus Strategic Partnership project called OnCreate. Recent research and experiences prove the importance of the design and implementation of online courses that are learner-centred, include collaboration and integrate rich use of media in authentic environments. The OnCreate project explores the specific challenges of creative processes in such environments. The first research phase comprises a comparative qualitative analysis of collaboration practices in design-related study programmes at the ten participating universities. A key outcome of this research was in identifying the shortcomings of the hierarchical role models of established Learning Management Systems (such as Moodle or Blackboard) and the tendency towards evolving 'mash-up' environments to support creative online collaboration