Eva Ritz
14 results
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Item type:Publication, How Siemens Empowered Workforce Re- and Upskilling Through Digital Learning(2025-09); ; Gunter BeitingerThe accelerating digital transformation of manufacturing is enhancing automation and production efficiency while requiring employees to develop new skills to meet evolving demands. This case study examines how Siemens embedded a human-centric, bottom-up approach to empower employee re- and upskilling through innovative digital learning. Aligned with Siemens’s actions, we present a four-phase model on leveraging information systems to address skill gaps, enhance adaptability and tackle re- and upskilling challenges. We also provide five recommendations to help organizations foster lifelong learning in dynamic manufacturing environments.Type:journal articleJournal:MIS Quarterly ExecutiveVolume:24Issue:3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How a Swiss luxury retailer implements process mining to improve data-driven customer excellence(2024); ; ; In today’s digital transformation era, process mining has emerged as a crucial technology, playing an integral part in the digital strategies of many organizations. Despite its significance, implementing process mining to leverage data-driven decision-making and boosting process efficiency presents notable challenges for such companies. This case study delves into the journey of the fictitious Swiss luxury retailer Elysian as they utilize process mining to derive data-driven insights on process inefficiencies and bottlenecks to increase their customer excellence for online retail procurement. The case highlights the capabilities of process mining for organizations. It is among the first to offer students hands-on guidance on process discovery, conformance, and enhancement using real-world data. Students take the role of Lisa Dister, Head of procurement in the business unit home care, who urgently requires improving process transparency after an unsatisfying internal audit result. This immersive experience helps students understand the application of process mining in high-volume data scenarios and equips them with skills in data literacy. Moreover, students are challenged to suggest recommendations for long-term process optimization and reflect on the effectiveness of process mining for tackling procurement issues.Type:journal articleJournal:Journal of Information Technology Teaching Cases - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study(2024-04-03); Scopus© Citations 20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How to Support Students’ Self-Regulated Learning in Times of Crisis: An Embedded Technology-Based Intervention in Blended Learning Pedagogies(2023-09-22); ; With the increasing prevalence of technology-enhanced learning environments, self-regulated learning (SRL) has become a crucial skill for management students and graduates in the 21st century. Self-regulated learners can take control of their own learning process by setting learning objectives and selecting appropriate learning strategies. As a result of the recent COVID-19 crisis, universities were compelled to shift to online course delivery, which greatly reduced social interaction between educators and learners and challenged educators’ feedback practices. To address this issue, we developed and embedded a technology-based intervention with temporal-proximate and regular formative feedback assessments in a large-scale management course to promote graduate students’ SRL practices. We evaluated the intervention in a quasi-experiment, which found that students with the embedded SRL intervention had higher self-assessment and learning outcome scores and lower absolute self-assessment deviation. Our study makes at least three contributions. First, we shed light on students’ SRL strategies in times of emergency remote learning, highlighting their extensive need for social support and comparison. Second, we extend the literature on SRL and social-cognitive theory by unveiling a hidden effect when embedding temporal-proximate and regular interventions. Third, we contribute an empirically evaluated intervention to foster students’ SRL in blended learning and online pedagogies.Type:journal articleJournal:Academy of Management Learning & Education (AMLE)Volume:22Issue:3Scopus© Citations 22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Code and Craft: How Generative AI Tools Facilitate Job Crafting in Software Development(2025); ; ; The rapid evolution of the software development industry challenges developers to manage their diverse tasks effectively. Traditional assistant tools in software development often fall short of supporting developers efficiently. This paper explores how generative artificial intelligence (GAI) tools, such as Github Copilot or ChatGPT, facilitate job crafting—a process where employees reshape their jobs to meet evolving demands. By integrating GAI tools into workflows, software developers can focus more on creative problem-solving, enhancing job satisfaction, and fostering a more innovative work environment. This study investigates how GAI tools influence task, cognitive, and relational job crafting behaviors among software developers, examining its implications for professional growth and adaptability within the industry. The paper provides insights into the transformative impacts of GAI tools on software development job crafting practices, emphasizing their role in enabling developers to redefine their job functions.Type:conference paperJournal:58th Hawaii International Conference on System Sciences (HICSS) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BALANCING BYTES WITH BRAINS: EXPLORING THE ROLE OF LEARNERS' CONTROL IN PERSONALIZED LEARNING TASKS(2024)The increasing prevalence of artificial intelligence (AI)-based learning systems unleashes new potentials in designing personalized learning experiences that enhance learning outcomes. However, prior research indicates that such systems can negatively impact engagement due to issues in human information processing. This study examines whether giving learners control over task difficulty selection in personalized learning systems can mitigate these effects. A laboratory within-subjects experiment involving 80 participants explored how control over personalized vocabulary learning affects learning performance and autonomy satisfaction. As such a control feature may lead to deeper information processing, I investigate the mediating effect of cognitive workload on the main effect. The study aims to contribute to human-AI interaction literature by shedding light on the importance of control in personalized system design and investigating its effects on cognitive workload, overall task performance, and autonomy satisfaction.Type:conference paperJournal:European Conference on Information Systems (ECIS) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Prompting for Perks: Enhancing Generative AI-Enabled Job Crafting in Knowledge Work(2024-12-06); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, What to Learn Next? Designing Personalized Learning Paths for Re-&Upskilling in Organizations(2023-01-06); ; ; ; Ulrich BretschneiderThe fast-paced acceleration of digitalization requires extensive re-&upskilling, impacting a significant proportion of jobs worldwide. Technology-mediated learning platforms have become instrumental in addressing these efforts, as they can analyze platform data to provide personalized learning journeys. Such personalization is expected to increase employees’ empowerment, job satisfaction, and learning outcomes. However, the challenge lies in efficiently deploying these opportunities using novel technologies, prompting questions about the design and analysis of generating personalized learning paths in organizational learning. We, therefore, analyze and classify recent research on personalized learning paths into four major concepts (learning context, data, interface, and adaptation) with ten dimensions and 34 characteristics. Six expert interviews validate the taxonomy’s use and outline three exemplary use cases, undermining its feasibility. Information Systems researchers can use our taxonomy to develop theoretical models to study the effectiveness of personalized learning paths in intra-organizational re-&upskilling.Type:conference paperJournal:Hawaii International Conference on System Sciences (HICSS) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, GETTING INTO FLOW!? ENHANCE FLOW-LIKE EXPERIENCES AND LEARNING PERFORMANCE THROUGH PERSONALIZED LEARNING ACTIVITIES(2023-06)Although intelligent learning systems provide new opportunities for personalizing learning activities, important design questions remain. To unleash the full impact of such systems, it is vital to examine how the use of Bayesian knowledge tracing can provide learners personalized learning activities and shape their flow experience, performance, and continuity intention. Further, this study explores the moderating role of a growth mindset on the relation between learning task adaptation and flow experience. I rely on electroencephalography to increase the internal validity of flow measurements. The study builds on Flow Theory and aims to empirically unveil the influence of an intelligent personalization of learning processes. The next step will be an experiment with 80 participants following the developed experimental design to evaluate flow experiences in intelligent learning systems. The results of this experiment aim to guide educational designers with prescriptive knowledge on how to design flow-like learning experiences in intelligent learning systems.Type:conference paperJournal:European Conference on Information Systems (ECIS) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial Socialization? How Artificial Intelligence Applications Can Shape A New Era of Employee Onboarding Practices(2023-01-06); ; Onboarding has always emphasized personal contact with new employees. Excellent onboarding can extend employee retention and improve loyalty. Even in a physical setting, the onboarding process is demanding for both the newcomer and the onboarding organization. Remote work, in contrast, has made this process even more challenging by forcing a rapid shift from offline to online onboarding practices. Organizations are adopting new technologies like artificial intelligence (AI) to support work processes, such as hiring processes or innovation facilitation, which could shape a new era of work practices. However, it has not been studied how AI applications can or should support onboarding. Therefore, our research conducts a literature review on current onboarding practices and uses expert interviews to evaluate AI's potential and pitfalls for each action. We contribute to the literature by presenting a holistic picture of onboarding practices and assessing potential application areas of AI in the onboarding process.Type:conference paperJournal:Hawaii International Conference on System Sciences (HICSS)