M. Sc. - Psychologie
Katharina Pflügner ist seit Oktober 2018 wissenschaftliche Mitarbeiterin am Lehrstuhl für Wirtschaftsinformatik, insbesondere Informationssysteme in Dienstleistungsbereichen (ISDL). Sie absolvierte ihr Bachelor- und Masterstudium der Psychologie an den Universitäten Regensburg sowie der Otto-Friedrich-Universität Bamberg und verbrachte ein Auslandssemester an der Murray State University in den USA. Im Rahmen von betriebswirtschaftlich ausgerichteten Tätigkeiten, unter anderem bei KPMG AG, Deutsche Lufthansa AG und BF/M-Bayreuth, arbeitete Frau Pflügner vorwiegend in den Bereichen Personalentwicklung und betriebliche Gesundheitsförderung.
Zu den Forschungsinteressen von Frau Pflügner zählen insbesondere die individuelle Nutzung von digitalen Technologien sowie daraus resultierende gesundheitsrelevante Aspekte (u. a. Technostress und Technologieabhängigkeit im Arbeits- und Privatleben).
Pflügner, K., Hrovat, F., and Maier, C. (2021)
Medical Teleconsulting Applications: An Empirical Study on Elderly Peoples’ Satisfaction
Proceedings of the 16th International Conference on Wirtschaftsinformatik, Essen, Germany
Medical teleconsulting applications improve the accessibility, increase the quality and reduce the costs of healthcare services especially for elderly people. Despite these benefits, such applications are still at an early state of diffusion. As the intention to use teleconsulting applications depends on the users’ satisfaction, we aim to reveal the application features of teleconsulting applications that lead to user satisfaction. Based on the theory of attractive quality, we argue that application features can be classified into different categories, depending on how well they achieve user satisfaction. We identify 17 application features and conduct a quantitative study with 87 elderly people for categorization. The results show how each application feature affects elderly peoples’ satisfaction and dissatisfaction with teleconsulting applications, and we derive recommendations for future teleconsulting application development.
Valta, M., Pflügner, K., and Maier, C. (2021)
Guiding Companies to Reduce Technostress: A Mixed-Methods Study Deriving Practice-Oriented Recommendations
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS)
Technostress is a major challenge for employees using information technology. Technostress research has revealed the causes, i.e. techno-stressors, and resulting adverse consequences for employees and companies. However, there is a lack of practical insights guiding companies on how to reduce technostress. To offer such practical insights, we follow a mixed-methods approach. The qualitative study bases on eleven expert interviews and reveals seven measures that reduce technostress. We then elaborate on these interview results with a quantitative study of 110 employees. The quantitative results reveal the degree to which the seven measures are useful to reduce specific techno-stressors. Our results show that although there are measures used in practice, none reduces all different techno-stressors. We complement existent theoretical technostress research by offering practice-oriented recommendations on how to reduce technostress. Based on the illustration of which measures are useful for which techno-stressors, practitioners can choose the measures that best fits their needs.
Pflügner, K., Maier, C., and Weitzel, T. (2021)
The direct and indirect influence of mindfulness on techno-stressors and job burnout: A quantitative study of white-collar workers
Computers in Human Behavior (CHB) (115:4), , https://doi.org/10.1016/j.chb.2020.106566 (VHB-JOURQUAL 3 Rating: k.R.)
This study investigates how mindfulness at work influences white-collar workers’ technostress. Building on our understanding that perceived techno-stressors lead to job burnout, we apply the transactional model of stress and the model of mindfulness to understand to what degree mindfulness reduces the perception of techno-stressors and whether mindfulness mitigates the effect of perceived techno-stressors on job burnout. Our analysis of quantitative data collected in a survey of 134 white-collar workers who use information systems regularly at work confirms that mindfulness leads to lower levels of perceived techno-stressors, but does not also mitigate the effect of perceived techno-stressors on job burnout. The study contributes to technostress research by showing how mindfulness can help manage technostress but also by illustrating the boundaries of mindfulness in terms of technostress mitigation. We provide practical recommendations for applying our research results to develop technostress prevention measures and assess psychological risk factors at work.
Pflügner, K., Maier, C., Mattke, J., and Weitzel, T. (2021)
Personality Profiles that Put Users at Risk of Perceiving Technostress: A Qualitative Comparative Analysis with the Big Five Personality Traits
Business & Information Systems Engineering (BISE) (63:4), p.389-402, https://doi.org/10.1007/s12599-020-00668-7 (VHB-JOURQUAL 3 Rating: B)
Some information systems research has considered that individual personality traits influence whether users feel stressed by information and communication technologies. Personality research suggests, however, that personality traits do not act individually, but interact interdependently to constitute a personality profile that guides individual perceptions and behavior. The study relies on the differential exposure-reactivity model to investigate which personality profiles of the Big Five personality traits predispose users to perceive techno-stressors. Using a questionnaire, data was collected from 221 users working in different organizations. That data was analyzed using fuzzy set Qualitative Comparative Analysis (fsQCA). Based on the results, six different personality profiles that predispose to perceive high techno-stressors are identified. By investigating personality traits in terms of profiles, it is shown that a high and a low level of a personality trait can influence the perception of techno-stressors. The results will allow users and practitioners to identify individuals who are at risk of perceiving techno-stressors based on their personality profile. The post-survey analysis offers starting points for the prevention of perceived techno-stressors and the related negative consequences for specific personality profiles.