Browsing by Person "Schoch, Manfred"

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Communication and collaboration technology use at the digital workplace : antecedents, use processes, and consequences
(2021) Schoch, Manfred; Gimpel, Henner
Our world is becoming more and more digital and interconnected. Particularly new communication and collaboration technologies have changed the way we go about our daily life and work. Several technological and social developments are the driving forces for this change. On the one hand, technological advancements, such as portable devices, fast infrastructure, and constantly available software applications, transform the way employees communicate, collaborate, and transfer knowledge. On the other hand, social developments, such as an increase in knowledge-intense jobs and a workforce that has grown accustomed to increasingly modern and innovative technology from their private lives, contribute to the development. Further, during the COVID-19 pandemic, digital work and the use of communication and collaboration technology has increased unlike anything seen before. It is the organizations’ responsibility to care for their employees and leave no one behind in this transformation process of work as we know it. Yet, the management of increasingly complex portfolios of digital technologies, comprised of privately-owned and business-owned components, confronts individuals, IT departments, and management with challenges. To address them, organizations and individuals need to broaden their understanding of how and why employees use digital technologies and learn about the associated outcomes. Information Systems research has long been concerned with understanding digital technology use, which is among the most researched topics of the discipline. Research results on technology use have been summarized along the three categories antecedents, use process, and outcomes Antecedents describe factors that influence use. Insights into use processes provide us with details of how technology is used in practice. Use outcomes comprise different factors that can be positively or negatively affected by using technology, such as performance or stress. Within the field, a subset of studies has specifically focused on communication and collaboration technology. Yet, in light of the rise in ubiquitous digital work and the challenges that come with it, further investigation into this subject is necessary. This dissertation aims at providing novel insights into the use of communication and collaboration technology for organizations and individuals across the three categories: antecedents, use processes, and outcomes. In Chapter 2, this dissertation deals with important antecedents of use decisions of communication and collaboration technology. Chapter 2.1 does so by identifying factors that drive the choice of digital technologies in the context of knowledge transfer. Chapter 2.2 analyzes rationales for using privately-owned technology for business purposes based on a risk-benefit perspective. Chapter 3 analyzes individual use processes of communication and collaboration technology in more detail using digital trace data and user interviews. Different heterogeneous user roles are derived from the data in Chapter 3.1. Second, user behavior over time and the effect of external events on such behavior are examined (Chapter 3.2). Chapter 4 presents insights on outcomes of use behavior, particularly adverse outcomes. Insights are provided on the role of individual appraisal in the relationship between communication and collaboration technology use and associated stress (Chapter 4.1). Second, outcomes of the use of mixed IT portfolios comprised of privately-owned and business-owned components are investigated (Chapter 4.2). In summation, this dissertation contributes to the rich body of knowledge on technology use. It broadens our understanding of why communication and collaboration technologies are used, how they are used, and what consequences arise from their use. Thus, insights are provided to practitioners on how to manage technology use in a human-centered way while considering the risks of technology use and reaping its multifaceted benefits. The results of this dissertation may inspire future research on a topic that is potentially more relevant today than ever before.
Unlocking the power of generative AI models and systems such asGPT-4 and ChatGPT for higher education
(2023) Vandrik, Steffen; Urbach, Nils; Gimpel, Henner; Hall, Kristina; Decker, Stefan; Eymann, Torsten; Lämmermann, Luis; Mädche, Alexander; Röglinger, Maximilian; Ruiner, Caroline; Schoch, Manfred; Schoop, Mareike
Generative AI technologies, such as large language models, have the potential to revolutionize much of our higher education teaching and learning. ChatGPT is an impressive, easy-to-use, publicly accessible system demonstrating the power of large language models such as GPT-4. Other compa- rable generative models are available for text processing, images, audio, video, and other outputs – and we expect a massive further performance increase, integration in larger software systems, and diffusion in the coming years. This technological development triggers substantial uncertainty and change in university-level teaching and learning. Students ask questions like: How can ChatGPT or other artificial intelligence tools support me? Am I allowed to use ChatGPT for a seminar or final paper, or is that cheating? How exactly do I use ChatGPT best? Are there other ways to access models such as GPT-4? Given that such tools are here to stay, what skills should I acquire, and what is obsolete? Lecturers ask similar questions from a different perspective: What skills should I teach? How can I test students’ competencies rather than their ability to prompt generative AI models? How can I use ChatGPT and other systems based on generative AI to increase my efficiency or even improve my students’ learning experience and outcomes? Even if the current discussion revolves around ChatGPT and GPT-4, these are only the forerunners of what we can expect from future generative AI-based models and tools. So even if you think ChatGPT is not yet technically mature, it is worth looking into its impact on higher education. This is where this whitepaper comes in. It looks at ChatGPT as a contemporary example of a conversational user interface that leverages large language models. The whitepaper looks at ChatGPT from the perspective of students and lecturers. It focuses on everyday areas of higher education: teaching courses, learning for an exam, crafting seminar papers and theses, and assessing students’ learning outcomes and performance. For this purpose, we consider the chances and concrete application possibilities, the limits and risks of ChatGPT, and the underlying large language models. This serves two purposes: • First, we aim to provide concrete examples and guidance for individual students and lecturers to find their way of dealing with ChatGPT and similar tools. • Second, this whitepaper shall inform the more extensive organizational sensemaking processes on embracing and enclosing large language models or related tools in higher education. We wrote this whitepaper based on our experience in information systems, computer science, management, and sociology. We have hands-on experience in using generative AI tools. As professors, postdocs, doctoral candidates, and students, we constantly innovate our teaching and learning. Fully embracing the chances and challenges of generative AI requires adding further perspectives from scholars in various other disciplines (focusing on didactics of higher education and legal aspects), university administrations, and broader student groups. Overall, we have a positive picture of generative AI models and tools such as GPT-4 and ChatGPT. As always, there is light and dark, and change is difficult. However, if we issue clear guidelines on the part of the universities, faculties, and individual lecturers, and if lecturers and students use such systems efficiently and responsibly, our higher education system may improve. We see a greatchance for that if we embrace and manage the change appropriately.