Publications by Katharina Pflügner

Journal Articles (Peer Reviewed)

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), , (VHB-JOURQUAL 3 Rating: k.R.)

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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, (VHB-JOURQUAL 3 Rating: B)

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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.

Maier, C., Mattke, J., Pflügner, K., and Weitzel, T. (2020)
Smartphone use while driving: A fuzzy-set qualitative comparative analysis of personality profiles influencing frequent high-risk smartphone use while driving in Germany
International Journal of Information Management (55), 102207, (VHB-JOURQUAL 3 Rating: C)

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Smartphone use while driving causes car crashes, injuries and high death rates. To date, there is little research into what motivates frequent smartphone use while driving. In this study, we draw on psychological research indicating that personality profiles defined as constellations of multiple personality traits, influence individual beliefs and behaviors. We apply fuzzy-set qualitative comparative analysis (fsQCA) to survey data to derive profiles of drivers who use their smartphone frequently while driving. Our results indicate that personality profiles affect smartphone use behavior while driving and that three equifinal profiles, i.e. distinct constellations of the big five personality traits, influence frequent smartphone use while driving. Interestingly, a single trait can be low in one profile and high in another profile and, depending on the other traits, both profiles might reflect drivers using their smartphone frequently. We contribute to the literature that frequent smartphone use while driving is, to some degree, grounded in personality and that just looking at singular traits can yield misleading results. Complementing these theoretical insights by post-survey interviews, we can reveal distinct measures that reduce frequent smartphone use for each of the three profiles.