Articles

Permanent URI for this collectionhttps://www.weizenbaum-library.de/handle/id/974

Articles, Reviews, Preprints

Browse

Author: search.filters.author.Ullrich, André

Search Results

Now showing 1 - 10 of 15
  • Thumbnail Image
    Item
    E-participation in municipalities services: A systematic literature review of evaluation approaches
    (2025) Ietto, Beatrice; Ullrich, André
    Evaluating e-participation initiatives is critical to understanding their impact on democratic processes, public policy, and societal welfare. However, existing evaluation frameworks often neglect the complexities of multi-stakeholder environments. Through a systematic literature review of 47 empirical cases, this gap is addressed by developing a typology of evaluation categories (supply-side, user activity, public value, political, and societal impact) and a comprehensive evaluation framework that accounts for the diverse objectives of all the involved stakeholders — technology providers, local governments, and citizens. By integrating short-term engagement metrics and long-term societal outcomes, the framework ensures more accurate assessments of e-participation success. We argue that adopting a multi- stakeholder approach in evaluation can significantly enhance the effectiveness, inclusivity, and sustainability of e-participation initiatives. Our findings challenge current evaluation practices and provide guidance for practitioners aiming to optimize governance, improve public services, and empower citizens through more robust evaluation methods. This study lays the foundation for systematic evaluation methods that consider stakeholder objectives, crucial for advancing e- participation research, and policy.
  • Thumbnail Image
    Item
    Dreaming of AI: environmental sustainability and the promise of participation
    (2024) Zehner, Nicolas; Ullrich, André
    There is widespread consensus among policymakers that climate change and digitalisation constitute the most pressing global transformations shaping human life in the 21st century. Seeking to address the challenges arising at this juncture, governments, technologists and scientists alike increasingly herald artificial intelligence (AI) as a vehicle to propel climate change mitigation and adaptation. In this paper, we explore the intersection of digitalisation and climate change by examining the deployment of AI in government-led climate action. Building on participant observations conducted in the context of the “Civic Tech Lab for Green”—a government-funded public interest AI initiative—and eight expert interviews, we investigate how AI shapes the negotiation of environmental sustainability as an issue of public interest. Challenging the prescribed means–end relationship between AI and environmental protection, we argue that the unquestioned investment in AI curtails political imagination and displaces discussion of climate “problems” and possible “solutions” with “technology education”. This line of argumentation is rooted in empirical findings that illuminate three key tensions in current coproduction efforts: “AI talk vs. AI walk”, “civics washing vs. civics involvement” and “public invitation vs. public participation”. Emphasising the importance of re-exploring the innovative state in climate governance, this paper extends academic literature in science and technology studies that examines
  • Thumbnail Image
    Item
    The influence of digital competences, self-organization, and independent learning abilities on students’ acceptance of digital learning.
    (2022) Scheel, Laura; Vladova, Gergana; Ullrich, André
    Despite digital learning disrupting traditional learning concepts and activities in higher education, for the successful integration of digital learning, the use and acceptance of the students are essential. This acceptance depends in turn on students’ characteristics and dispositions, among other factors. In our study, we investigated the influence of digital competences, self-organization, and independent learning abilities on students’ acceptance of digital learning and the influence of their acceptance on the resistance to the change from face-to-face to digital learning. To do so, we surveyed 350 students and analyzed the impact of the different dispositions using ordinary least squares regression analysis. We could confirm a significant positive influence of all the tested dispositions on the acceptance of digital learning. With the results, we can contribute to further investigating the underlying factors that can lead to more positive student perceptions of digital learning and build a foundation for future strategies of imple- menting digital learning into higher education successfully.
  • Thumbnail Image
    Item
    Development of the Industrial IoT Competences in the Areas of Organization, Process, and Interaction Based on the Learning Factory Concept
    (2017) Gronau, Norbert; Ullrich, André; Teichmann, Malte
    Lately, first implementation approaches of Internet of Things (IoT) technologies penetrate industrial value-adding processes. Within this, the competence requirements for employees are changing. Employees‘ organization, process, and interaction competences are of crucial importance in this new IoT environment, however, in students and vocational training not sufficiently considered yet. On the other hand, conventional learning factories evolve and transform to digital learning factories. Nevertheless, the integration of IoT technology and its usage for training in digital learning factories has been largely neglected thus far. Existing learning factories do not explicitly and properly consider IoT technology, which leads to deficiencies regarding an appropriate development of employees‘ Industrial IoT competences. The goal of this contribution is to point out a didactic concept that enables development and training of these new demanded competences by using an IoT laboratory. For this purpose, a design science approach is applied. The result of this contribution is a didactic concept for the development of Industrial IoT competences in an IoT laboratory.
  • Thumbnail Image
    Item
    Subject-oriented learning - A new perspective for vocational training in learning factories
    (2019) Teichmann, Malte; Ullrich, André; Gronau, Norbert
    The transformation to a digitized company changes not only the work but also social context for the employees and requires inter alia new knowledge and skills from them. Additionally, individual action problems arise. This contribution proposes the subject-oriented learning theory, in which the employees´ action problems are the starting point of training activities in learning factories. In this contribution, the subject-oriented learning theory is exemplified and respective advantages for vocational training in learning factories are pointed out both theoretically and practically. Thereby, especially the individual action problems of learners and the infrastructure are emphasized as starting point for learning processes and competence development.
  • Thumbnail Image
    Item
    Audit - and then what? A roadmap for digitization of learning factories
    (2019) Ullrich, André; Enke, Judith; Teichmann, Malte; Kreß, Antonio; Gronau, Norbert
    Current trends such as digital transformation, Internet of Things, or Industry 4.0 are challenging the majority of learning factories. Regardless of whether a conventional learning factory, a model factory, or a digital learning factory, traditional approaches such as the monotonous execution of specific instructions don‘t suffice the learner’s needs, market requirements as well as especially current technological developments. Contemporary teaching environments need a clear strategy, a road to follow for being able to successfully cope with the changes and develop towards digitized learning factories. This demand driven necessity of transformation leads to another obstacle: Assessing the status quo and developing and implementing adequate action plans. Within this paper, details of a maturity-based audit of the hybrid learning factory in the Research and Application Centre Industry 4.0 and a thereof derived roadmap for the digitization of a learning factory are presented.
  • Thumbnail Image
    Item
    Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research
    (2022) Ullrich, André; Vladova, Gergana; Eigelshoven, Felix; Renz, André
    Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research.
  • Thumbnail Image
    Item
    Measures to reduce corporate GHG emissions: A review-based taxonomy and survey-based cluster analysis of their application and perceived effectiveness
    (2023) Lewandowski, Stefanie; Ullrich, André
    Companies contribute to a large extent to greenhouse gas emission. To mitigate this, measures for reducing these emissions can be applied. There is, however, neither a systematized general overview of existing measures nor an estimation of their application and their effectiveness to reduce greenhouse gas emissions. This study strives to close this gap by reviewing research on the reduction of corporate greenhouse gas emissions and synthesizing emission reduction measures in a taxonomy. Furthermore, the application of these measures and their perceived effectiveness is empirically assessed using a survey among companies that are involved in emission reduction activities. On this basis, a cluster analysis is conducted to identify measure types and to unveil application patterns. 27 different measures and 65 respective implementation examples are identified and structured within nine categories: energy, product, process, technology, 6R and waste management, office and mobility, management, reporting and disclosure, and compensation measures. The empirical analysis shows that there exist measures with a high efficiency to reduce emission, which are rarely applied in companies. On the other side, a large share of applied measures is not perceived as highly effective. Companies can use these results to structure their emission reduction activities and identify best practices.
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
    Employee involvement and participation in digital transformation: a combined analysis of literature and practitioners' expertise
    (2023) Ullrich, André; Reißig, Malte; Niehoff, Silke; Beier, Grischa
    This paper provides a systematization of the existing body of literature on both employee participation goals and the intervention formats in the context of organizational change. Furthermore, degrees of employee involvement that the intervention formats address are identified and related to the goals of employee participation. On this basis, determinants of employee involvement and participation in the context of digital transformation are unveiled.