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Human-agent interaction is increasingly influencing our personal and work lives through the proliferation of conversational agents in various domains. As such, these agents combine intuitive natural language interactions by also delivering personalization through artificial intelligence capabilities. However, research on CAs as well as practical failures indicate that CA interaction oftentimes fails miserably. To reduce these failures, this paper introduces the concept of building common ground for more successful human-agent interactions. Based on a systematic review our analysis reveals five mechanisms for achieving common ground: (1) Embodiment, (2) Social Features, (3) Joint Action, (4) Knowledge Base, and (5) Mental Model of Conversational Agents. On this basis, we offer insights into grounding mechanisms and highlight the potentials when considering common ground in different human-agent interaction processes. Consequently, we secure further understanding and deeper insights of possible mechanisms of common ground in human-agent interaction in the future.

With this paper, we examine the use of data analytics for crisis management in automotive procurement departments. Possible business values of data analytics were part of numerous research approaches. Nevertheless, automotive manufacturers are repeatedly confronted with supply chain disruptions. Procurement departments have a central role within supply chains and are predominantly responsible for stable supply processes. Taking into account the potential of data analytics, such crises should be avoided or at least mitigated. Thus, there is the question, why data analytics cannot currently help automotive procurement departments by facing such crises. We therefore evaluate problems and obstacles by implementing and using data analytics in automotive procurement departments. Therefore, we talk to experienced procurement experts for evaluating practical insights. With our findings we provide practical insights and applicable recommendations for action with the goal of helping procurement leaders to better leverage data analytics for meeting current and future crises.

Today formal education like higher education relies on digital learning content like learning videos or quizzes. Using such online learning material enables students to learn independently from time and place. While improvements have been made, there are still many issues as the two-year long crisis in 2020 has revealed. Many offerings do not consider the learners’ needs and can result in unsuccessful learning. One way to address these short comings is to actively include learners in the creation process of learning content. However, co-creation oftentimes relies on face to face and or group settings that may not be possible for all students at all times. Therefore, we undertake a long-term action design research project to investigate the novel concept of conversational co-creation of learning material using a conversational agent and persuasive design to engage and motivate learners. In this article we present an early-stage prototype and concept of conversational co-creation.

Crises become the norm for organizations, as recent years have shown. Especially the automotive industry is still facing disruptive changes such as e-mobility, connected cars or autonomous driving. Disrupted supply chains, related production downtimes and associated financial losses are consequences. Procurement departments are the interface between internal and external stakeholders in supply chains, and therefore, the central authority for managing crises. In such situations, effective decision-making is essential. Positive effects of data analytics on decision-making were part of numerous research endeavors, as well as related data analytics competencies. We conducted semi-structured interviews with experienced experts about relevant data analytics competencies in procurement departments. We present an overview specifically for procurement departments and derive implications of these competencies on decision-making. As a result, we apply our findings to existing research from a theoretical perspective and support procurement leaders and their departments in facing current and future challenges from a practical perspective.

e-book, Diese Broschüre ist im Rahmen des BMBF-Projektes "Nudging Privacy in der digitalisierten Arbeitswelt - Systematische Konzeptentwicklung und Pilotierung (Nudger)" entstanden. Das Projekt wurde mit den Mitteln des Bundesministeriums für Bildung und Forschung gefördert. Die Laufzeit des Projektes war vom 01.09.2018 bis 31.12.2021.

Digitale Lernsysteme sind heute viel mehr als reine Wissensdatenbanken, in welchen Mitarbeitende zentral abgelegte Wissensbausteine abrufen können. Mithin geht es um die Entwicklung solcher Wissensbausteine durch Mitarbeitende als eine zentrale Herausforderung bei der Gestaltung von digitalen Lernsystemen. Insbesondere deshalb, da bestehende Lernmaterialien oftmals nicht den Erfordernissen eines arbeitsprozessintegrierten Lernansatzes folgen. Dies liegt daran, dass die Lernmaterialien von Mitarbeitern erstellt werden, die nicht unmittelbar mit den alltäglichen praktischen Arbeitsprozessen vertraut sind. Gleichzeitig bieten neue Technologien wie Virtual Reality (VR) die Möglichkeit, Mitarbeiterinnen und Mitarbeiter eine ganz neue Art von Lernerfahrung anbieten zu können. Von diesen Möglichkeiten sind viele Unternehmen aber noch weit entfernt, da das hierfür notwendige Lernmaterial nicht vorhanden ist. Dies liegt insbesondere an der Tatsache, dass es Mitarbeiterinnen und Mitarbeitern an den erforderlichen Kompetenzen für die Entwicklung solcher Lernmaterialien fehlt, welche notwendig für die Gestaltung dieser ist. Um diese Herausforderungen zu begegnen, können Ko-Kreationskonzepte eingesetzt werden, um die Entwicklung von arbeitsprozessintegriertem Lernmaterial zu unterstützen. Diese Ko-Kreationskonzepte sollen Mitarbeiterinnen und Mitarbeiter in die Lage versetzen, eigenständig hochwertige Lernmaterialien zu entwickeln (Weinert et al. 2022). Dabei fehlt es jedoch an konkreten Konzepten und Systemen, wie solche Ko-Kreationskonzepte für die Fertigungsindustrie gestaltet werden müssen, um Mitarbeitende strukturiert bei der Entwicklung eigener Lernmaterialien zu unterstützen. Dieser Problematik hat sich das Projektteam des BMBF-geförderten Projekts KoLeArn „Kontextsensitive Lerndienstleistungen im Arbeitsprozess der smarten industriellen Fertigung – Systematische Entwicklung und Pilotierung am Beispiel China“ gestellt. Im Rahmen des Projekts wurde ein Ko-Kreationssystem entwickelt, welches Mitarbeitenden ermöglicht, selbstständig arbeitsprozessbegleitende Lernmaterialien zu entwickeln und sie bei deren Einbindung in eine virtuelle Lernumgebung unterstützt. Diese Handlungsbroschüre soll zunächst eine Einführung in das arbeitsprozessintegrierte Lernen und in die Prozesse der Ko-Kreation von Lernmaterial bieten. Aufbauend wird das methodische Vorgehen hin zur Entwicklung unseres Systems erläutert, um die Einrichtung eines eigenen Lernsystems zu verdeutlichen. Abschließend werden verschiedene Einsatzszenarien skizziert, in welchen das System eingesetzt werden kann.

Driven by circumstances like the global pandemic many learners and educators realize the importance and value of self-regulated digital learning. To better support self-regulated learning, conversational agents have become more relevant. Conversational agents can act as tutor or as learning mate for learners. Although conversational agents have potential to better support self-regulated learning processes, challenges exist requiring implications about how to make these interactions more engaging and supportive. This study discusses the value of gamified conversational learning chatbots that use game elements to engage learners to guide researchers and practitioners to design conversational agents that effectively motivate learners and provide self-regulated learning at the same time. Therefore, we propose a systematically developed framework for gamifying educational conversational agents and contribute to theory by consolidating several theories about games, digital learning, and conversational agents and support practitioners by providing implications about what to care about when gamifying conversational agents

Design science projects are of great interest in information systems (IS) research. Typically, design-oriented projects generate valuable design knowledge through the design and possible instantiation of artifacts. Although designing novel artifacts and accumulating design knowledge is common practice in IS, there is still limited shared knowledge about the distinctive characteristics of design knowledge to facilitate its accumulation. To address this issue, we develop a design knowledge taxonomy and contribute to a deeper understanding of design knowledge properties. The taxonomy is grounded on a systematic literature review, followed by a combination of empirical-to-conceptual and conceptual-to-empirical iterations. We evaluate the taxonomy by interviewing six domain experts and demonstrate its practical application and utility. Thus, the taxonomy consists of key dimensions and characteristics of design knowledge and contributes to a better scientific understanding of its characteristics. Practitioners can use the taxonomy as an instrument to further understand, design, and accumulate design knowledge.

Although conversational agents (CA) are increasingly used for providing purchase recommendations, important design questions remain. Across two experiments we examine with a novel fluency mechanism how recommendation modality (speech vs. text) shapes recommendation evaluation (persuasiveness and risk), the intention to follow the recommendation, and how modality interacts with the style of recommendation explanation (verbal vs. numerical). Findings provide robust evidence that text-based CAs outperform speech-based CAs in terms of processing fluency and consumer responses. They show that numerical explanations increase processing fluency and purchase intention of both recommendation modalities. The results underline the importance of processing fluency for the decision to follow a recommendation and highlight that processing fluency can be actively shaped through design decisions in terms of implementing the right modality and aligning it with the optimal explanation style. For practice, we offer actionable implications on how to make effective sales agents out of CAs.

Digitale Arbeitsumgebungen sind heutzutage allgegenwärtig. Zugleich hat die Anzahl an Möglichkeiten, Informationen über Arbeitstätigkeiten sowie sensible persönliche Daten elektronisch zu erfassen, drastisch zugenommen (Backhaus 2019). Unternehmen nutzen immer mehr Formen von digitalen Arbeitssystemen und setzen fortschrittliche Instrumente wie Big Data Analytik oder Künstliche Intelligenz ein. Damit können Daten schneller und in größerem Umfang als je zuvor gesammelt, aggregiert und analysiert werden (Malhotra et al. 2004). Darüber hinaus können Daten gesammelt werden, ohne dass der Einzelne davon weiß (Bélanger and Crossler 2011). Auf der einen Seite birgt die weit verbreitete Analyse von persönlichen Daten ein erhebliches Innovationspotenzial, einen wirtschaftlichen Wert sowie effizientere Arbeitsmodelle (Erevelles et al. 2016). Auf der anderen Seite ist die Anfälligkeit für Diskriminierung, kommerzielle Ausbeutung und unerwünschte Überwachung ebenso allgegenwärtig. Dadurch wird die Akzeptanz moderner IT‐Systeme behindert. Dieser Interessenkonflikt wird sich in den kommenden Jahren vermutlich noch verschärfen, da die Unternehmen von der fortschreitenden Digitalisierung profitieren.

Since the emergence of conversational agents, this technology has seen continuous development and research. Today, advanced conversational agents are virtually omnipresent in our everyday lives. Albeit the numerous improvements in their conversational capabilities, breakdowns are still a persistent issue. Such breakdowns can result in a very unpleasant experience for users and impair the future success of conversational agents. This issue has been acknowledged by many researchers recently. However, the research on strategies to overcome conversational breakdowns is still inconclusive, and further research is needed. Therefore, we conduct a systematic literature analysis to derive conceptual conversational breakdown recovery strategies from literature and highlight future research avenues to address potential gaps. Thus, we contribute to theory of human-agent interaction by deriving and assessing recovery strategies and suggesting leads for novel recovery strategies.

Voice assistants are a novel class of information systems that fundamentally change human–computer interaction. Although these assistants are widespread, the utilization of these information systems is oftentimes only considered on a surface level by individuals. In addition, prior research has focused predominantly on initial use instead of looking deeper into post-adoption and habit formation. In consequence, this paper reviews how the notion of habit has been conceptualized in relation to biographical utilization of voice assistants and presents findings based on a qualitative study approach. From a perspective of post-adoption users, the study suggests that existing habits persist, and new habits hardly ever form in the context of voice assistant utilization. This paper outlines four key factors that help explain voice assistant utilization behavior and furthermore provides practical implications that help to ensure continued voice assistant use in the future.

Persuasive designs, including gamification and digital nudging, have become well renowned during the last years and have been implemented successfully across different sectors including education, e-health, e-governance, e-finance and general information systems. In this regard, persuasive design can support desirable changes in attitude and behavior of users in order to achieve their own goals. However, such persuasive influence on individuals raises ethical questions as persuasive designs can impair the autonomy of users or persuade the user towards goals of a third party and hence lead to unethical decision-making processes. In human-computer interaction this is especially significant with the advent of advanced artificial intelligence that can emulate human behavior and thus bring new dynamics into play. Therefore, we conduct a systematic literature analysis with the goal to compile an overview of ethical considerations for persuasive system design, derive potential guidelines for ethical persuasive designs and shed light on potential research gaps.

Die Covid-19 Pandemie hat zu enormen Veränderungen im Arbeitsalltag geführt. Videokonferenztools gewannen durch die Zusammenarbeit über Distanz an Bedeutung. In kürzester Zeit kamen in vielen Unternehmen Videokonferenztools verschiedener Hersteller zum Einsatz; der Datenschutz stand dabei in der Regel nicht an erster Stelle und es kam zu zahlreichen Datenschutzverstößen. Im Laufe der Pandemie rückte der Datenschutz mehr in den Fokus und es wurde nachgebessert. Wir wollen mit unserem Beitrag anregen Videokonferenztools nicht nur datenschutzkonform, sondern rechtsverträglich zu gestalten. Daher haben wir die Benutzeroberfläche eines Tools (Zoom) an den Stellen angepasst, an denen datenschutzsensibles Verhalten besonders kritisch ist. Wir zeigen, wie kleine Änderungen in der Benutzeroberfläche und die Integration von Privacy Nudges zu datenschutzsensiblem Verhalten führen können. Um diese sogenannten Privacy Nudges für Entwickelnde von Videokonferenztools so praktisch und zugänglich wie möglich zu machen, greifen wir auf das Konzept der Design Pattern aus der Systementwicklung zurück.

Gamification refers to the use of game-like elements in non-entertainment contexts to make activities more engaging and enjoyable to improve utilitarian outcomes. The gamification literature and the use of gamification in practice suggest that gamification can be a useful tool to support behavioral and psychological changes. Recent developments show that there is potential for new waves of gamification research. Therefore, we conducted a workshop at the International Conference on Wirtschaftsinformatik (WI) 2021 to discuss the future of gamification with interested scholars. The discussion with 25 gamification experts led to a research agenda that supports the need for adaptive and personalized gamification designs. Together with the experts, we identify three clusters for future research: 1) the personalization of gamification concepts, 2) theories and concepts for gamified human-computer interaction, and 3) the “dark side” of gamification (e.g., addiction). We also address what the gamification concept means. Aligned with the three clusters, we provide valuable starting points for future research inquiries to help researchers better understand the nature of gamification. We also discuss the capabilities and limits of gamification.

Beyond AI-based systems’ potential to augment decision-making, reduce organizational resources, and counter human biases, unintended consequences of such systems have been largely neglected so far. Researchers are undecided on whether erroneous advice acts as an impediment to system use or is blindly relied upon. As part of an experimental study, we turn towards the impact of incorrect system advice and how to design for failure-prone AI. In an experiment with 156 subjects we find that, although incorrect algorithmic advice is trusted less, users adapt their answers to a system’s incorrect recommendations. While transparency on a system’s accuracy levels fosters trust and reliance in the context of incorrect advice, an opposite effect is found for users exposed to correct advice. Our findings point towards a paradoxical gap between stated trust and actual behavior. Furthermore, transparency mechanisms should be deployed with caution as their effectiveness is intertwined with system performance.

Künstliche Intelligenz durchdringt immer stärker verschiedene Lebensbereiche und macht auch vor der beruflichen Bildung nicht halt. In diesem Zusammenhang gibt es derzeit vielfältige Diskussionen zur Rolle der menschlichen Intelligenz in zukünftigen Arbeitsprozessen und damit verknüpft Fragen zur Auswirkung auf die Aus- und Weiterbildung von Arbeitskräften. Ziel dieses Beitrags ist es darzulegen, warum in den kommenden Jahrzehnten die effektive Kombination der komplementären Stärken von menschlicher und künstlicher Intelligenz im Sinne des Hybrid Intelligence (HI)-Gedankens im Vordergrund stehen wird. Anschließend werden Potentiale und Grenzen von HI im Kontext der beruflichen Aus- und Weiterbildung mit besonderem Fokus auf die Individualisierung von Lehr-/Lernprozessen diskutiert.

Die Covid-19 Pandemie hat zu enormen Ver��nderungen im Arbeitsalltag gefu��hrt. Videokonferenztools gewannen durch die Zusammenarbeit u��ber Distanz an Bedeutung. In ku��rzester Zeit kamen in vielen Unternehmen Videokonferenztools verschiedener Hersteller zum Einsatz; der Datenschutz stand dabei in der Regel nicht an erster Stelle und es kam zu zahlreichen Datenschutzverst����en. Im Laufe der Pandemie ru��ckte der Datenschutz mehr in den Fokus und es wurde nachgebessert. Wir wollen mit unserem Beitrag anregen Videokonferenztools nicht nur datenschutzkonform, sondern rechtsvertr��glich zu gestalten. Daher haben wir die Benutzeroberfl��che eines Tools (Zoom) an den Stellen angepasst, an denen datenschutzsensibles Verhalten besonders kritisch ist. Wir zeigen, wie k kleine ��nderungen in der Benutzeroberfl��che und die Integration von Privacy Nudges zu datenschutzsensiblem Verhalten fu��hren k��nnen. Um diese sogenannten Privacy Nudges fu��r Entwickelnde von Videokonferenztools so praktisch und zug��nglich wie m��glich zu machen, greifen wir auf das Konzept der Design Pattern aus der Systementwicklung zuru��ck.

Voice assistants’ increasingly nuanced and natural communication bears new opportunities for user experiences and task automation, while challenging existing patterns of human-computer interaction. A fragmented research field, as well as constant technological advancements, impede a common apprehension of prevalent design features of voice-based interfaces. As part of this study, 86 papers across domains are systematically identified and analysed to arrive at a common understanding of voice assistants. The review highlights perceptual differences to other human-computer interfaces and points out relevant auditory cues. Key findings regarding those cues’ impact on user perception and behaviour are discussed along with the three design strategies 1) personification, 2) individualization and 3) contextualization. Avenues for future research are lastly deducted. Our results provide relevant opportunities to researchers and designers alike to advance the design and deployment of voice assistants.

IT support in the learning process constitutes a key factor for the success of innovative teaching/learning scenarios. To ensure learning success in innovative teaching/learning scenarios, learners need to faithfully apply learning management systems (LMS). However, we lack theoretical insights into which factors affect whether they do so. To help solve this issue, we first used adaptive structuration theory to identify antecedents and consequences regarding faithful LMS appropriation and embed them into a theoretical model. Second, we conducted a survey study with 173 participants to evaluate the model. The results show that the perceived IT support, interactivity, and the task-technology fit significantly affect the degree to which learners faithfully apply a LMS. Moreover, the results indicate that faithful appropriation is a significant indicator of the learning process satisfaction as well as perceived learning success. The present paper thus theoretically contributes to the scientific discussion concerning technology-mediated learning processes while also making a practical contribution by deriving implications for LMS application.

Technology-mediated learning (TML) is a major trend in education, since it allows to integrate the strengths of traditional- and IT-based learning activities. However, TML providers still struggle in identifying areas for improvement in their TML offerings. One reason for their struggles is inconsistencies in the literature regarding drivers of TML performance. Prior research suggests that these inconsistencies in TML literature might stem from neglecting the importance of considering the process perspective in addition to the input and outcome perspectives. This gap needs to be addressed to better understand the different drivers of the performance of TML scenarios. Filling this gap would further support TML providers with more precise guidance on how to (re-)design their offerings toward their customers’ needs. To achieve our goal, we combine qualitative and quantitative methods to develop and evaluate a holistic model for assessing TML performance. In particular, we consolidate the body of literature, followed by a focus group workshop and a Q-sorting exercise with TML practitioners, and an empirical pre-study to develop and initially test our research model. Afterward, we collect data from 161 participants of TML vocational software trainings and evaluate our holistic model for assessing TML performance. The results provide empirical evidence for the importance of the TML process quality dimension as suggested in prior literature and highlighted by our TML practitioners. Our main theoretical as well as practical contribution is a holistic model that provides comprehensive insights into which constructs and facets shape the performance of TML in vocational software trainings.

Gefördert im Rahmen des Projekts DEAL

Smart learning services offer customized learning solutions by systematically considering the context of the learner. However, it is still unclear how the value co-creation within smart learnings is affected by context considerations. Therefore, it is important to understand how the context can influence the value co-creation potential in smart learning services. To investigate how context shapes value co-creation smart learning services, we first conduct a systematic literature review to investigate context factors within learning processes. Afterwards, we develop a conceptual model to explain how context in smart learning systems can be used to enhance the co-creation potential in learning processes. Overall, we provide a better understanding of context considerations in service systems as a theoretical contribution of our conceptual investigation. Finally, we provide practical implications for educational service providers for designing smart learning services under the specific consideration of different contexts

The knowledge base related to user interaction with conversational agents (CAs) has grown dramatically but remains segregated. In this paper, we conduct a systematic literature review to investigate user interaction with CAs. We examined 107 papers published in outlets related to IS and HCI research. Then, we coded for design elements and user interaction outcomes, and isolated 7 significant determinants of these outcomes, as well as 42 themes with inconsistent evidence, providing grounds for future research. Building upon the insights from the analysis, we propose a research agenda to guide future research surrounding user interaction with CAs. Ultimately, we aim to contribute to the body of knowledge of IS and HCI in general and user interaction with CA in particular by indicating how developed a research field is regarding the number and content of the respective contributions. Furthermore, practitioners benefit from a structured overview related to CA design effects.

Künstliche intelligente (KI)-Systeme erfreuen sich immer größerer Beliebtheit. Im Alltag erleben wir KI beispielsweise durch smarte persönliche Assistenten (SPAs), welche von Amazon, Google und Co. angeboten werden. Zwar haben diese KI-Systeme große Nutzungspotenziale, gleichzeitig gehen damit aber auch erhebliche Risiken einher, beispielsweise datenschutzrechtliche. Doch wie lassen sich diese Spannungsfelder auflösen? Interdisziplinäre Gestaltungsmuster im Systementwicklungsprozess können eine Lösung darstellen, welche nachfolgend mit Handlungsimplikationen für gesellschaftlich wünschenswerte „KI made in Germany“ skizziert wird.

Higher legal standards with regards to data protection of individuals such as EU-GDPR are increasing the pressure on developers of IT artifacts. This is especially prevalent when considering conversational speech agents (CSA) that are collecting data in new ways, and thus, are oftentimes producing conflicts with existing law regulations. For this purpose, we introduce the law simulation method which is a well-known evaluation method among law researchers for capturing legal compatibility of IT artifacts such as CSA. With this rigorous method, we are able to derive actionable guidance for CSA developers to evaluate developer efforts for increasing legal compatibility. To illustrate our methodological approach, we describe in this workshop paper key steps of the method with respect to the evaluation of CSA. We discuss how this can serve as the foundation for a new evaluation method of legally compatible systems in information systems.

Conversational agents (CAs) represent a paradigm shift in regards to how humans use information systems. Although CAs have recently attracted considerable research interest, there is still limited shared knowledge about the distinctive characteristics of CAs from a user experience-based perspective. To address this gap, we conducted a systematic literature review to identify CA characteristics from existing research. Building on classifications from service experience theory, we develop a taxonomy that classifies CA characteristics into three major categories (i.e. functional, mechanic, humanic clues). Subsequently, we evaluate the usefulness of the taxonomy by interviewing six domain experts. Based on this categorization and the reviewed literature, we derive three propositions that link these categories to specific user experience dimensions. Our results support researchers and practitioners by providing deeper insights into service design with CAs and support them in systematizing and synthesizing research on the effects of specific CA characteristics from a user experience-based perspective.

Die noch recht neue DSGVO hat einige Änderungen mit sich gebracht, welche sich in der Praxis erst noch bewähren und innovativ umgesetzt werden müssen. Insbesondere das Arbeitsumfeld wird von der fortschreitenden Digitalisierung stark verändert und sieht sich neuen Herausforderungen des Datenschutzes gegenüber. Ein Ansatz, diesen Herausforderungen zu begegnen, könnte die Integration von Privacy Nudges in digitale betriebliche Systeme sein. Ziel von Privacy Nudges ist es dabei, den Entscheidungsprozess in digitalen Entscheidungsumgebungen gezielt zu mehr Schutz von personenbezogenen Daten und Privatheit zu beeinflussen. Diesem Ansatz nähert sich dieser Beitrag interdisziplinär durch Erkenntnisse aus der verhaltensökonomischen, informatischen und der rechtswissenschaftlichen Literatur. Schließlich werden verschiedene Szenarien für den Einsatz von Privacy Nudges in digitalen Arbeitssystemen beschrieben und bewertet.

When using digital technologies, various data traces are left behind for collection, storage and analysis. Innovative solutions for information systems are needed that mitigate privacy risks and foster information privacy. One mechanism to achieve this are privacy nudges. Nudges are a concept from behavioural economics to influence individual’s decisions. This paper focusses on building an integrative understanding of privacy nudging. Specifically, we conceptualize the constituting characteristics of privacy nudges by conducting a systematic literature review to cover the current state of knowledge in the interdisciplinary privacy nudge literature stream. We structure the intrapersonal factors that determine effectiveness for each privacy nudge in a morphological box and conceptualize on this basis current research coverage as well as demand for future research. Finally, we develop theoretical propositions contributing to the discussion of how to study and design effective privacy nudges that can pave the way for more privacy sensitive IT systems.

Viele Arbeitsprozesse in der Industrie werden zunehmend digitalisiert. Diese Entwicklung erfordert neue Kompetenzen, welche im Arbeitsprozess durch Ansätze wie mobile Applikationen erworben werden können. Aufgrund der Informationsfülle im Mobile Learning und den Spezifika solcher Endgeräte kann es zu einer kognitiven Überlastung des Lernenden kommenden, wodurch dieser Lerninhalte nicht mehr aufnehmen kann. Um diesen Herausforderungen zu begegnen, schlagen wir den Einsatz von Gamified Feedback durch Avatare vor, welche als Lehrerergänzung die notwendigen Hilfestellungen und Informationen bereitstellen können. Hierzu wird im Kurzbeitrag eine Studie zur Untersuchung der Wirkungsweise von Gamified Feedback auf Cognitive Load von Lernenden im Mobile Learning präsentiert.

Aus 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 Verbraucherinformatik

Die noch recht neue DSGVO hat einige Änderungen mit sich gebracht, welche sich in der Praxis erst noch bewähren und innovativ umgesetzt werden müssen. Insbesondere das Arbeitsumfeld wird von der fortschreitenden Digitalisierung stark verändert und sieht sich neuen Herausforderungen des Datenschutzes gegenüber. Ein Ansatz, diesen Herausforderungen zu begegnen, könnte die Integration von Privacy Nudges in digitale betriebliche Systeme sein. Ziel von Privacy Nudges ist es dabei, den Entscheidungsprozess in digitalen Entscheidungsumgebungen gezielt zu mehr Schutz von personenbezogenen Daten und Privatheit zu beeinflussen. Diesem Ansatz nähert sich dieser Beitrag interdisziplinär, durch Erkenntnisse aus der verhaltensökonomischen, informatischen und der rechtswissenschaftlichen Literatur. Schließlich werden verschiedene Szenarien für den Einsatz von Privacy Nudges in digitalen Arbeitssystemen beschrieben und bewertet.

Das Verbundprojekt KoLeArn (Kontextsensitive Lerndienstleistungen im Arbeitsprozess der smarten industriellen Fertigung – Systematische Entwicklung und Pilotierung am Beispiel China) entwickelt kontextsensitive Lernangebote, um deutschen Bildungsanbietern den effizienten und erfolgreichen Export ihrer Weiter- und Ausbildungsangebote nach China zu ermöglichen. Die digitalen Lernumgebungen richten sich in erster Linie an nicht-akademische Fachkräfte, die arbeitsprozessorientiertes Wissen im Rahmen der smarten industriellen Fertigung benötigen. Die Entwicklung und Pilotierung prototypischer Lerneinheiten erfolgt im Rahmen eines iterativen und gestaltungsorientierten Prozesses.

Digitization brings new possibilities to ease our daily life activities by the means of assistive technology. Amazon Alexa, Microsoft Cortana, Samsung Bixby, to name only a few, heralded the age of smart personal assistants (SPAs), personified agents that combine artificial intelligence, machine learning, natural language processing and various actuation mechanisms to sense and influence the environment. However, SPA research seems to be highly fragmented among different disciplines, such as computer science, human-computer-interaction and information systems, which leads to ‘reinventing the wheel approaches’ and thus impede progress and conceptual clarity. In this paper, we present an exhaustive, integrative literature review to build a solid basis for future research. We have identified five functional principles and three research domains which appear promising for future research, especially in the information systems field. Hence, we contribute by providing a consolidated, integrated view on prior research and lay the foundation for an SPA classification scheme.

Gamification is a well-known approach that refers to the use of game design elements in information systems to make monotonous and tedious tasks more enjoyable. However, research and practice show that game design elements are oftentimes chosen and integrated in information systems randomly, therefore impeding the outcomes of such systems. In this regard, taxonomies can guide system developers, i.e., in selecting and combining game design elements to gamify their information system. Nonetheless, existing taxonomies do not provide such guidance for gamifying information systems. Therefore, the goal of our research is to consolidate the state of the art of gamification research and rigorously develop a gamification taxonomy. To achieve our goal, we conducted a systematic literature review and developed a taxonomy based on a rigorous taxonomy development process. We evaluate our theory by providing evidence of its feasibility with two practical cases: First, we show how the taxonomy helps to analyze existing gamification approaches, and, second, how the taxonomy guides to gamify information systems. Overall, we enrich theory by introducing a new taxonomy to better explain the meaning and characteristics of game design elements. Likewise, practitioners will be guided in selecting and combining game design elements for their gamification approaches.

Retargeting is an innovative online marketing technique in the modern age. Although this advertising form offers great opportunities of bringing back customers who have left an online store without a com-plete purchase, retargeting is risky because the necessary data collection leads to strong privacy con-cerns which, in turn, trigger consumer reactance and decreasing trust. Digital nudges – small design modifications in digital choice environments which guide peoples’ behaviour – present a promising concept to bypass these negative consequences of retargeting. In order to prove the positive effects of digital nudges, we aim to conduct an online experiment with a subsequent survey by testing the impacts of social nudges and information nudges in retargeting banners. Our expected contribution to theory includes an extension of existing research of nudging in context of retargeting by investigating the effects of different nudges in retargeting banners on consumers’ behaviour. In addition, we aim to provide practical contributions by the provision of design guidelines for practitioners to build more trustworthy IT artefacts and enhance retargeting strategy of marketing practitioners.

Digitization changes our society, the way we work and the way we generate value in work systems. More precisely, it equally affects how business and employees organize their work. While there is a tremendous innovation potential for businesses such as more flexible and efficient work arrangements, there are also tremendous privacy risks. Such privacy risks especially relate to issues that employees leave data traces in every working step while being oftentimes not aware of their generated data. Employees leave data traces on intranet platforms such as Wikis and on external work tools such as Slack and reveal not only personal information but also company insights. At the same time companies must handle new privacy regulations such as the European General Data Protection Regulation (GDPR) which do not only affect companies in the European countries but also providers of information systems (IS) all around the world that offer their services in Europe. Thus, innovative approaches for considering challenges that exist because of privacy related issues are needed. A promising approach to overcome the aforementioned privacy issues of digital working environments is the application of digital nudges in IS – small design modifications in digital choice environments which guide peoples’ behavior (Weinmann et al. 2016). The nudge theory – originally derived from behavioral economics– is based on the irrational behavior of human beings. A nudge “is any aspect of the choice architecture that alters people’s behavior in a predictable way without forbidding any options or significantly changing their economic incentives” (Thaler and Sunstein 2008, p. 6) and is typically applied in offline environments, e.g., to nudge individuals for being organ donors through a default opt-in. By relying on the concept of nudging, individuals in digital work system could be nudged to improve their decisions when disclosing data. This is especially prevalent, since many individuals are not aware about how their data is used. As such, there is a lack of research regarding nudging in context of digital work systems and privacy which should be addressed in a socio-technical research approach. By examining the impact and perception of digital nudges in work systems, we want to shed light on the application, design and effects of nudges to overcome challenges that arise because of privacy related issues. We therefore first examine use cases and requirements for nudging in digital work system under the consideration of users, companies and other stakeholders. Since we draw on a socio-technical view, we incorporate requirements that relate to a legal as well as an ethical perspective for nudging privacy. By this means, we develop a design theory for privacy nudging by an iterative design and evaluation process in the field. The ultimate goal is to improve decisions concerning data disclosure and, secondary, increase by this means trust and acceptance of digital work systems by lowering privacy concerns. By developing a design theory, we contribute to the body of knowledge with a more profound understanding of digital nudging in the context of privacy as well as with prescriptive design knowledge for nudging in digital work systems.

Gamification focuses on using game-like elements in non-entertainment-based contexts. An example for a game element is an avatar. Although lots of research has focused on analyzing avatars in gamification, little is known about which kind of avatar design users prefer. Especially avatars in gamification that are used as tutors or mentors for learning purposes do not spark the interest of users. Thus, the goal of our paper is to analyze the kinds of avatar designs users of digital learning environments such as learning management systems would prefer. For that purpose, we use a best-worst scaling approach to analyze if the familiarity and shape of avatars determine user preferences in gamification. Our research will contribute to research and practice as it delivers implications about how to design avatars in gamified learning systems. We will enrich theory by getting a better understanding about the general meaning of user-centered avatar designs in gamification.

Mobiles Lernen ermöglicht eine Integration von authentischen Lern-szenarien in den Alltag und unterstützt somit den Aufbau von Problemlösungs-kompetenzen. Da zielgruppenspezifische Unterschiede die Nutzung von IT be-einflussen und sich Lehrkonzepte unterscheiden, muss die Zielgruppe bei der Entwicklung einer mobilen Lernanwendung (MLA) berücksichtigt werden. Dieser Beitrag zeigt eine iterative Prototypenentwicklung am Beispiel einer MLA für den Einsatz in chinesischen Berufsschulen. Auf Basis der IT-Kulturkonflikttheorie wird ein systematischer Gestaltungs- und Evaluationspro-zess dargestellt. Die Ergebnisse zeigen, dass die systematische Zielgruppenan-passung den Erfolg einer MLA signifikant steigert.

Countless possibilities of usage make it more and more difficult to engage and motivate users in a regular use of mobile learning applications. However, users must be convinced to complete and explore every given option within the application. Considering this, gamification seems to be a promising approach to engage and motivate users. Gamification refers to the use of game-like elements in a non-entertainment-based context. Regarding previous research, most game design elements are randomly selected and combined. This is why we use modularization to systematically select and combine game design elements. Following the design science approach and the cognitive evaluation theory, we aim to define a new way of gamifying a mobile learning application. We, therefore, present an approach for the combination of game design elements. Contributions will be given by providing guidance in how to systematically select and combine game design elements.

IT support is a key factor for the success of innovative teaching/learning approaches such as flipped classrooms concerned with problem solving. However, IT and the complexity of problem solving may overwhelm the learner and can lead to unsatisfying learning outcomes. Therefore, research suggests the implementation of technology-enhanced scaffolds to guide the learners in their individual problem-solving process to enhance their learning outcomes. To investigate how scaffolding contributes to the learning outcomes in a flipped classroom, we first developed a theoretical model based on adaptive structuration and cognitive load theory. Second, to evaluate the model, we conducted a fully randomized between-subject experiment with 72 students in a flipped classroom for management education focusing on individual problem solving. For this purpose, we accordingly implemented technology-enhanced scaffolds in an LMS, which focused on individual problem-solving activities. Our results show that technology-enhanced scaffolding contributes significantly to the management of cognitive load as well as to learning process satisfaction and problem-solving learning outcomes. In addition, the faithfulness of appropriation and germane load contribute to problem-solving learning outcomes. Therefore, we contribute to both theory and practice by providing a better understanding of technology-enhanced scaffolds and their design to en-gage problem solving and their respective effects.

Mobile learning enables learners to integrate learning activities into daily routines. Information systems research emphasizes that technology-mediated learning (TML) has to be adapted to cultural differences. Integrating a mobile learning application into a new context can cause conflicts as values embedded in the mobile learning application can conflict with values of the context in which it is introduced. With this paper, we propose a theory-driven design approach to avoid culture conflicts in mobile learning. Based on the implementation of a mobile learning application in Chinese vocational schools, we derive requirements from IT-culture conflict theory as well as practice, which are addressed with design elements and implemented in the application. Our results show that cultural adaptation leads to improved cognitive learning outcomes. As a practical contribution, we provide guidance on how to overcome culture conflicts; as a theoretical contribution, we contribute to the exploration of culture in the usage of TML.

Mobiles Lernen ist eine Möglichkeit in Lernumgebungen, welche durch eine hohe Anzahl an Lernenden geprägt sind, praktische Trainings zu unterstützen. Bei der Einführung einer mobilen Lernanwendung in ein bestehendes Servicesystem sind die bestehenden Servicesystemkontexte zu berücksichtigen, da vorhandene Wertvorstellungen in Konflikt mit Werten, die dem neuen Service entgegengebracht werden, treten können. Um diesen Konflikten entgegenzutreten, werden im folgenden Beitrag unter Einbeziehen der IT-Kulturkonflikttheorie potentielle Systemkonflikte am Beispiel eines Einführungsprojekts einer mobilen Lernanwendung an chinesischen Berufsschulen identifiziert. Es wird aufgezeigt, wie die IT-Kulturkonflikttheorie bei der systematischen Gestaltung von Services von Nutzen sein kann und wie Services konform dem vorhandenen Servicesystem bereitgestellt werden können.

Mobile learning allows for the embedding of learning into daily routines by means of authentic learning scenarios. In this context, IS research emphasizes the importance of considering individual differences such as cultural differences when using IT in learning scenarios. First, culture is a critical variable that strongly influences IT acceptance and use. Second, teaching concepts differ heavily across cultures. With this research-in-progress paper, we propose a theory-driven design approach to overcome culture conflicts for mobile learning applications. We derive requirements from IT-culture conflict theory and practice, which are addressed by design elements and implemented in a mobile learning application that is now being adapted for China. As a practical contribution of our research, we provide systematic guidance to overcome culture conflicts; as a theoretical contribution, we enrich culture theory by considering and resolving conflicts for mobile learning applications.

Information technology in the learning process is one major success factor for innovative learning scenarios. A necessary pre-condition is the faithful appropriation of technology-mediated learning (TML) to ensure learning outcomes. However, research still lacks insights concerning determinants and consequences of a faithful TML appropriation. Therefore, this research-in-progress paper presents a mixed-methods research approach to gain a holistic understanding of TML appropriation. First, based on the insights of adaptive structuration theory, a theoretical model is developed considering objective and subjective measures for TML appropriation as well as antecedents and consequences of TML appropriation. Second, the mixed-methods approach is presented in order to evaluate the theoretical model. Our expected contribution to theory includes an extension of both TML and adaptive structuration theory with an in-depth view of TML appropriation. Expected practical contributions include the derivation of design implications for TML services that are faithfully appropriated to ensure learning success of TML participants.