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Die Verbindung von menschlicher und künstlicher Intelligenz, die wir hybride Intelligenz (HI) nennen, soll Mitarbeitende im IT-Support entlasten und unterstützen. In diesem Beitrag gestalten wir nutzungszentriert eine HI-basierte Dienstleistung am Beispiel des IT-Supports. Wir beginnen mit einer Problemidentifizierung am Beispiel von drei unterschiedlich groß aufgestellten Unternehmen. Basierend auf diesen identifizierten Herausforderungen des IT-Supports wurden die Interaktionen während der Dienstleistungserbringung zwischen allen Beteiligten (Mitarbeitende, Kund:innen und System) nutzungszentriert neu gestaltet.

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While digital transformation as a research phenomenon per se gains acceptance in both practice and academia, its precise conceptualization and theoretical underpinnings are discussed. To address these gaps, we propose a critical realist view on Digital Transformation. Building on a literature review on generative mechanisms in digital transformation studies, we show how the concept of generative mechanisms is used and what types of generative mechanisms are adopted. Based on our findings, we propose a research agenda that encourages further studies on digital transformation, taking a critical realist stance. Thus, we put forward ways of applying critical realism to digital transformation studies and show how critical realism can advance research through its ability for multi-level analysis and its unique understanding of change and transformation.

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Volatility, uncertainty, ambiguity, and complexity (VUCA) are drivers in today’s business world. Therefore, an increasing number of organizations implement agility (agile methods) to cope with the rapid and accelerating change. However, these agile transformations do not succeed unhindered, and some fail. One reason for that is the employees lacking an agile mindset and they do not support or participate in the transformation. So far, knowledge of the agile mindset is in its infancy. A conceptualization for developing a measuring instrument on the individual level is lacking. Furthermore, the relevance of the agile mindset regarding organizational performance in a VUCA world is still unclear. Our study aims to close this gap. To do so, we examine the agile mindset with 15 qualitative interviews and conduct an online survey (N=449) to predict organizational agility and organizational performance based on the agile mindset. As for results, we conceptualize the agile mindset as an attitude that comprises four dimensions: ’learning spirit’, ‘collaborative exchange’, ‘empowered self-guiding’, and ‘iterative value creation’. We have found an indirect effect of the agile mindset affecting organizational performance towards organizational agility. These findings contribute to the agility and management research by providing both a conceptualization and a measuring instrument for the agile mindset. Furthermore, the agile mindset´s relevance in agile transformation is explained and its relation to organizational performance outlined. For successful agile transformation, executives must focus on the agile mindset of their employees and foster this by e.g. being a role model.

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We present an annotation approach to capturing emotional and cognitive empathy in student-written peer reviews on business models in German. We propose an annotation scheme that allows us to model emotional and cognitive empathy scores based on three types of review components. Also, we conducted an annotation study with three annotators based on 92 student essays to evaluate our annotation scheme. The obtained inter-rater agreement of α = 0.79 for the components and the π = 0.41 for the empathy scores indicate that the proposed annotation scheme successfully guides annotators to a substantial to moderate agreement. Moreover, we trained predictive models to detect the annotated empathy structures and embedded them in an adaptive writing support system for students to receive individual empathy feedback independent of an instructor, time, and location. We evaluated our tool in a peer learning exercise with 58 students and found promising results for perceived empathy skill learning, perceived feedback accuracy, and intention to use. Finally, we present our freely available corpus of 500 empathy-annotated, student-written peer reviews on business models and our annotation guidelines to encourage future research on the design and development of empathy support systems.

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Wearables are used to help motivate individuals to trade their unhealthful behaviors for beneficial ones, thereby preventing the diseases of affluence, which are caused by a sedentary lifestyle. However, inconclusive study results regarding the effectiveness of wearables raise questions about the outcomes of using wearables. Research on the topic paints an ambiguous picture regarding the support wearables offer users in performing beneficial health-related behaviors, leaving the underlying mechanisms of wearable use and its outcomes unexplained. We seek to fill this gap in the literature by means of a critical realist study based on thirty narrative interviews with long-term users of wearables. By identifying seven generative mechanisms that drive users’ interactions with wearables and the subsequent cognitive and behavioral outcomes of that use, we answer the research question concerning how and why users’ interactions with wearables can facilitate positive behavioral and cognitive outcomes. The study makes several contributions to theory and practice.

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Gendered voice based on pitch is a prevalent design element in many contemporary Voice Assistants (VAs) but has shown to strengthen harmful stereotypes. Interestingly, there is a dearth of research that systematically analyses user perceptions of different voice genders in VAs. This study investigates gender-stereotyping across two different tasks by analyzing the influence of pitch (low, high) and gender (women, men) on stereotypical trait ascription and trust formation in an exploratory online experiment with 234 participants. Additionally, we deploy a gender-ambiguous voice to compare against gendered voices. Our findings indicate that implicit stereotyping occurs for VAs. Moreover, we can show that there are no significant differences in trust formed towards a gender-ambiguous voice versus gendered voices, which highlights their potential for commercial usage.

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Bürgerbeteiligung war und ist wichtig – insbesondere in Zeiten von Covid-19. Dabei bedarf es einer sinnvollen Kombination und einer guten Verzahnung von digitalen und analogen Angeboten, wobei insbesondere im Kontext von Covid-19 die Frage bezüglich digitaler Bürgerbeteiligung im Raum steht: Wenn nicht jetzt, wann dann? Wir sprechen uns für Formen digitaler Bürgerbeteiligung aus, die bestehende Formen nicht ersetzen, sondern synergetisch ergänzen. Um dies zu tun, zeigen wir in diesem Beitrag auf, wie das Konzept des Government-as-a-Platform hierbei zu verstehen ist und helfen kann. Außerdem beschreiben wir Konzeption, Entwicklung und Integration einer digitalen Bürgerbeteiligungsplattform, die sich unter anderem durch die Verzahnung von Top-down- und Bottom-up-Elementen wie auch durch Transparenz der Plattform-Prozesse auszeichnet. Bürger*innen werden dabei als Expert*innen ihres Alltags gesehen und dazu empowert, durch eigene Projektvorschläge ihre Stadt proaktiv mitzugestalten.

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At Rock your Thesis, we are on the mission to improve the user experience of thesis writing. We believe that thesis writing should be about learning and problem-solving, rather than fiddling with formatting and citation styles and spending hours searching the right sources. Therefore, we have developed and founded www.rockyourthesis.com: an all-in-one platform that bundles common and unique tools that improve the thesis writing journey of bachelor-, master-, and doctoral students. 100% academically compliant! Rock your Thesis is part of the HSG Entrepreneurial Talents Program!

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This paper introduces a framework for managing bias in machine learning (ML) projects. When ML-capabilities are used for decision making, they frequently affect the lives of many people. However, bias can lead to low model performance and misguided business decisions, resulting in fatal financial, social, and reputational impacts. This framework provides an overview of potential biases and corresponding mitigation methods for each phase of the well-established process model CRISP-DM. Eight distinct types of biases and 25 mitigation methods were identified through a literature review and allocated to six phases of the reference model in a synthesized way. Furthermore, some biases are mitigated in different phases as they occur. Our framework helps to create clarity in these multiple relationships, thus assisting project managers in avoiding biased ML-outcomes.

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