49 research outputs found
LIPIcs, Volume 251, ITCS 2023, Complete Volume
LIPIcs, Volume 251, ITCS 2023, Complete Volum
Chatbots for Modelling, Modelling of Chatbots
Tesis Doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Ingeniería Informática. Fecha de Lectura: 28-03-202
Governance mechanisms and metrics for digital platform workers : Multiple case study of digital labour platforms
Aim: This study aims to reveal which governance mechanisms and their metrics digital labour platforms use and how they are used to govern platform workers. Moreover, this study's purpose is to analyse three different digital labour platform companies related to the governance of platform workers. The study aims to form and test a framework for the digital labour platform governance mechanisms and their metrics based on a literature review and empirical findings.
Framework: The study framework combines traditional firm governance, digital platform governance and crowdwork governance theories. In addition, the concepts of control and coordi-nation in governance mechanisms are presented in the literature review of governance theory. The themes are combined to form a framework for digital labour platform governance mechanisms for platform workers.
Methodology: The empirical research section is formed with qualitative research and multiple case study method. The approach of the study is subjectivist. Moreover, interpretivism and critical realism views are used because they fit the people-oriented and multi-dimensional research theme. The research data is collected with interviews of the case companies’ representatives who were in positions to know the subjects.
The findings reveal what and how governance mechanisms and metrics are used in digital labour platforms to govern platform workers. In addition, the results show two new governance mechanisms: platform worker training and activity monitoring. Governance mechanisms identified include access control, activity monitoring, task management, incentive management, contract management, and training in every case company. In contrast, only two companies used reputation monitoring, quality control, and behavioural control. The findings differ somewhat between the case companies. The reason for the variation between the companies might be due to the variety in the level of autonomy and skill levels of platform workers. The governance mechanisms and metrics findings are brought together into a framework. Also, this study revealed new information about governance metrics of digital labour platforms, which had a little information in the literature. Thus, the governance metrics found in this study give significant new knowledge about the subject. They help to show how firms can use the data for platform worker governance in digital platforms. For instance, user logins, system usage, and profile completion rate measure platform workers' activity. These findings can help digital labour platform companies better understand many possibilities in ways to govern digital labour workers.Tavoite: Tämän tutkimuksen tavoitteena on selvittää digitaalisten työtä välittävien alustojen alustatyöntekijöihin kohdistuvia hallintamekanismeja ja niiden mittareita. Tarkoituksena on analysoida kolmen case yrityksen alustatoimintaa suhteessa alustatyöntekijöiden hallintaan. Tutkimuksessa muodostetaan viitekehys digitaalisten alustojen hallintamekanismeista ja niiden mittareista kirjallisuuskatsauksen ja empiirisen tutkimuksen perusteella.
Viitekehys: Tämän tutkimuksen viitekehyksessä yhdistyy perinteisten yritysten hallintamekanismeja, joukkotyöhön liitettyjä hallintamekanismeja sekä digitaalisten alustojen jo tiedettyjä hallintamekanismeja. Lisäksi kontrollin ja koordinaation konseptit liittyen työntekijöiden hallintaan esitetään kirjallisuuskatsauksessa ja ne liitetään osaksi viitekehystä. Myös joitain vähän tiedettyjä hallintamittareita on lisätty viitekehykseen. Näistä teemoista muodostuu tutkimuksen viitekehys alustojen alustatyöntekijöille suunnatuille hallintamekanismeille ja niiden mittareille.
Metodologia: Empiirinen tutkimus koostuu laadullisesta tutkimuksesta ja usean tapaustutkimuksen menetelmästä. Tutkimuksen lähestymistapa on subjektiivinen. Lisäksi interpretivismin ja kriittisen realismin lähestymistapoja käytetään tutkimuksen analysoimisessa, sillä ne soveltuvat tutkimuksen ihmislähtöiseen ja moniulotteiseen teemaan. Tutkimuksen aineistonkeruumenetelmänä käytetään case yritysten edustajien haastatteluja.
Tulokset: Tutkimuksen tulokset osoittavat, että mitä ja kuinka hallintamekanismeja ja niiden mittareita käytetään digitaalisilla alustoilla alustatyöntekijöiden hallitsemiseen. Tulokset osoittavat myös kaksi uutta hallintamekanismia: alustatyöntekijöiden kouluttamisen ja aktiivisuuden valvomisen. Hallintamekanismeista tunnistettiin pääsyn valvonta, tehtävänhallinta, sopimushallinta, ja kouluttaminen kaikissa case-yrityksissä. Sen sijaan vain kahdessa yrityksessä tunnistettiin maineen valvonta, laadun valvonta ja käyttäytymisenhallinta. Syyt vaihteluihin yritysten välillä saattavat johtua alustatyöntekijöiden erilaisista autonomian tasoista ja taitotasoista. Tulokset hallintamekanismeista ja niiden mittareista digitaalisilla alustoilla on kerätty yhteen viitekehykseen. Tutkimuksessa selvisi uutta tietoa hallintamittareista, joista ei ollut aiemmin paljon tietoa kirjallisuudessa. Siksi hallintamittarit, jotka onnistuttiin löytämään tässä tutkimuksessa antavat merkittävää uutta tietoa aiheesta. Ne auttavat yrityksiä ymmärtämään kuinka hyödyntää dataa alustatyöntekijöiden hallitsemisessa. esimerkiksi aktiivisuuden valvomisessa voidaan käyttää mittareina käyttäjän sisäänkirjautumisia, järjestelmän käyttämistä, ja profiilin valmiusastetta. Tulokset auttavat yrityksiä huomaamaan monipuolisesti mahdollisuuksia alustatyöntekijöiden hallitsemisessa ja ottamaan huomioon alustatyöntekijöiden autonomian ja osaamistasot hallintamekanismeja valittaessa
Quality control and cost management in crowdsourcing
By harvesting online workers’ knowledge, crowdsourcing has become an efficient and cost-effective way to obtain a large amount of labeled data for solving human intelligent tasks (HITs), such as entity resolution and sentiment analysis. Due to the open nature of crowdsourcing, online workers with different knowledge backgrounds may provide conflicting labels to tasks. Therefore, it is a common practice to perform a pre-determined number of assignments, either per task or for all tasks, and aggregate collected labels to infer the true label of tasks. This model could suffer from poor accuracy in case of under-budget or a waste of resource in case of over-budget. In addition, as worker labels are usually aggregated in a voting manner, crowdsourcing systems are vulnerable to strategic Sybil attack, where the attacker may manipulate several robot Sybil workers to share randomized labels for outvoting independent workers and apply various strategies to evade Sybil detection. In this thesis, we are specifically interested in providing a guaranteed aggregation accuracy with minimum worker cost and defending against strategic Sybil attack. In our first work, we assume that workers are independent and honest. By enforcing a specified accuracy threshold on aggregated labels and minimizing the worker cost under this requirement, we formulate the dual requirements for quality and cost as a Guaranteed Accuracy Problem (GAP) and present an efficient task assignment algorithm for solving the problem. In our second work, we assume that strategic Sybil attackers may coordinate Sybil workers to obtain rewards without honestly labeling tasks and apply different strategies to evade detection. By camouflaging golden tasks (i.e., tasks with known true labels) from the attacker and suppressing the impact of Sybil workers and low-quality independent workers, we extend the principled truth discovery to defend against strategic Sybil attack in crowdsorucing. For both works, we conduct comprehensive empirical evaluations on real and synthetic datasets to demonstrate the effectiveness and efficiency of our methods
Augmented Human Machine Intelligence for Distributed Inference
With the advent of the internet of things (IoT) era and the extensive deployment of smart devices and wireless sensor networks (WSNs), interactions of humans and machine data are everywhere. In numerous applications, humans are essential parts in the decision making process, where they may either serve as information sources or act as the final decision makers. For various tasks including detection and classification of targets, detection of outliers, generation of surveillance patterns and interactions between entities, seamless integration of the human and the machine expertise is required where they simultaneously work within the same modeling environment to understand and solve problems. Efficient fusion of information from both human and sensor sources is expected to improve system performance and enhance situational awareness. Such human-machine inference networks seek to build an interactive human-machine symbiosis by merging the best of the human with the best of the machine and to achieve higher performance than either humans or machines by themselves.
In this dissertation, we consider that people often have a number of biases and rely on heuristics when exposed to different kinds of uncertainties, e.g., limited information versus unreliable information. We develop novel theoretical frameworks for collaborative decision making in complex environments when the observers may include both humans and physics-based sensors. We address fundamental concerns such as uncertainties, cognitive biases in human decision making and derive human decision rules in binary decision making. We model the decision-making by generic humans working in complex networked environments that feature uncertainties, and develop new approaches and frameworks facilitating collaborative human decision making and cognitive multi-modal fusion.
The first part of this dissertation exploits the behavioral economics concept Prospect Theory to study the behavior of human binary decision making under cognitive biases. Several decision making systems involving humans\u27 participation are discussed, and we show the impact of human cognitive biases on the decision making performance. We analyze how heterogeneity could affect the performance of collaborative human decision making in the presence of complex correlation relationships among the behavior of humans and design the human selection strategy at the population level. Next, we employ Prospect Theory to model the rationality of humans and accurately characterize their behaviors in answering binary questions. We design a weighted majority voting rule to solve classification problems via crowdsourcing while considering that the crowd may include some spammers. We also propose a novel sequential task ordering algorithm to improve system performance for classification in crowdsourcing composed of unreliable human workers.
In the second part of the dissertation, we study the behavior of cognitive memory limited humans in binary decision making and develop efficient approaches to help memory constrained humans make better decisions. We show that the order in which information is presented to the humans impacts their decision making performance. Next, we consider the selfish behavior of humans and construct a unified incentive mechanism for IoT based inference systems while addressing the selfish concerns of the participants. We derive the optimal amount of energy that a selfish sensor involved in the signal detection task must spend in order to maximize a certain utility function, in the presence of buyers who value the result of signal detection carried out by the sensor. Finally, we design a human-machine collaboration framework that blends both machine observations and human expertise to solve binary hypothesis testing problems semi-autonomously.
In networks featuring human-machine teaming/collaboration, it is critical to coordinate and synthesize the operations of the humans and machines (e.g., robots and physical sensors). Machine measurements affect human behaviors, actions, and decisions. Human behavior defines the optimal decision-making algorithm for human-machine networks. In today\u27s era of artificial intelligence, we not only aim to exploit augmented human-machine intelligence to ensure accurate decision making; but also expand intelligent systems so as to assist and improve such intelligence
BIM in the construction industry
En las últimas décadas, el término modelado de información de construcción (BIM) se ha mencionado en una amplia gama de esfuerzos de investigación de la construcción. BIM es una nueva solución para la recesión sin precedentes en la industria de la construcción, es decir, pérdida de productividad, escasez de mano de obra, sobrecostos y competitividad severa. La tecnología BIM proporciona muchos beneficios: detección rápida de conflictos de diseño, regulación automática de diseño algoritmo de verificación, visualización de realidad virtual/aumentada y entorno de trabajo de colaboración. BIM los expertos, así como los profesionales de la industria, enfatizan la importancia de las aplicaciones BIM en el campo de construcción. Dado el rápido desarrollo y adopción de BIM en la arquitectura, ingeniería, y construcción (AEC), están surgiendo nuevas tendencias relevantes para la investigación de BIM, siendo sumamente útil no sólo para los académicos sino también para los profesionales.In recent decades, the term building information modeling (BIM) has been mentioned in a wide
range of construction research endeavors. BIM is a new solution for unprecedented recession in the
construction industry, i.e., productivity loss, labor shortage, cost overrun, and severe competitiveness.
BIM technology provides many benefits: prompt design clash detection, automatic deign regulatory
check algorithm, augmented/virtual reality visualization, and collaboration work environment. BIM
experts as well as industry practitioners are stressing the importance of BIM applications in the field
of construction. Given the rapid development and adoption of BIM in the architecture, engineering,
and construction (AEC) industry, new trends relevant to the research of BIM are emerging, being
exceedingly helpful not only for academics but also for practitioners
Rating mechanisms for sustainability of crowdsourcing platforms
Crowdsourcing leverages the diverse skill sets of large collections of individual contributors to solve problems and execute projects, where contributors may vary significantly in experience, expertise, and interest in completing tasks. Hence, to ensure the satisfaction of its task requesters, most existing crowdsourcing platforms focus primarily on supervising contributors\u27 behavior. This lopsided approach to supervision negatively impacts contributor engagement and platform sustainability
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