@article{HofeditzMirbabaieOrtmann2023,
  author    = {Hofeditz, Lennart and Mirbabaie, Milad and Ortmann, Mara},
  title     = {Ethical challenges for human-agent interaction in virtual collaboration at work},
  series = {International journal of human computer interaction},
  journal   = {International journal of human computer interaction},
  publisher = {Taylor \& Francis},
  address   = {New York, NY},
  issn      = {1044-7318},
  doi       = {10.1080/10447318.2023.2279400},
  pages     = {17},
  year      = {2023},
  abstract  = {In virtual collaboration at the workplace, a growing number of teams apply supportive conversational agents (CAs). They take on different work-related tasks for teams and single users such as scheduling meetings or stimulating creativity. Previous research merely focused on these positive aspects of introducing CAs at the workplace, omitting ethical challenges faced by teams using these often artificial intelligence (AI)-enabled technologies. Thus, on the one hand, CAs can present themselves as benevolent teammates, but on the other hand, they can collect user data, reduce worker autonomy, or foster social isolation by their service. In this work, we conducted 15 expert interviews with senior researchers from the fields of ethics, collaboration, and computer science in order to derive ethical guidelines for introducing CAs in virtual team collaboration. We derived 14 guidelines and seven research questions to pave the way for future research on the dark sides of human-agent interaction in organizations.},
  language  = {en}
}
@article{UrbachFay2021,
  author    = {Urbach, Tina and Fay, Doris},
  title     = {Leader member exchange in leaders' support for voice},
  series = {Applied psychology : an international review},
  volume    = {70},
  journal   = {Applied psychology : an international review},
  number    = {2},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {0269-994X},
  doi       = {10.1111/apps.12245},
  pages     = {674 -- 708},
  year      = {2021},
  abstract  = {While previous research underscores the role of leaders in stimulating employee voice behaviour, comparatively little is known about what affects leaders' support for such constructive but potentially threatening employee behaviours. We introduce leader member exchange quality (LMX) as a central predictor of leaders' support for employees' ideas for constructive change. Apart from a general benefit of high LMX for leaders' idea support, we propose that high LMX is particularly critical to leaders' idea support if the idea voiced by an employee constitutes a power threat to the leader. We investigate leaders' attribution of prosocial and egoistic employee intentions as mediators of these effects. Hypotheses were tested in a quasi-experimental vignette study (N = 160), in which leaders evaluated a simulated employee idea, and a field study (N = 133), in which leaders evaluated an idea that had been voiced to them at work. Results show an indirect effect of LMX on leaders' idea support via attributed prosocial intentions but not via attributed egoistic intentions, and a buffering effect of high LMX on the negative effect of power threat on leaders' idea support. Results differed across studies with regard to the main effect of LMX on idea support.},
  language  = {en}
}
@inproceedings{GruenerMuehleGayvoronskayaetal.2019,
  author    = {Gr{\"u}ner, Andreas and M{\"u}hle, Alexander and Gayvoronskaya, Tatiana and Meinel, Christoph},
  title     = {A quantifiable trustmModel for Blockchain-based identity management},
  series = {IEEE 2018 International Congress on Cybermatics / 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, cyber, physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology},
  booktitle = {IEEE 2018 International Congress on Cybermatics / 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, cyber, physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-5386-7975-3},
  doi       = {10.1109/Cybermatics_2018.2018.00250},
  pages     = {1475 -- 1482},
  year      = {2019},
  language  = {en}
}
@article{KrauseVanThiel2018,
  author    = {Krause, Tobias Alexander and Van Thiel, Sandra},
  title     = {Perceived managerial autonomy in municipally owned corporations},
  series = {Public management review},
  volume    = {21},
  journal   = {Public management review},
  number    = {2},
  publisher = {Routledge, Taylor \& Francis Group},
  address   = {Abingdon},
  issn      = {1471-9037},
  doi       = {10.1080/14719037.2018.1473472},
  pages     = {187 -- 211},
  year      = {2018},
  abstract  = {Many European municipalities rely on municipally owned corporations (MOCs) to serve the public interest. Some MOCs, e.g. utilities or hospitals, are also aimed at generating financial revenue, others provide funded services like public transportation. Our article explores local governments' approaches to the managerial control of influential MOCs. To conceptualize control, we distinguish control mechanisms (e.g. output control), correlates (e.g. policy-profession conflict), and perceived managerial autonomy. Drawing on a sample of 243 MOC top managers in Germany, structural equation modelling reveals four complex relationships between output control, process control, supervisor trust, and policy-profession conflict as antecedents of perceived managerial autonomy.},
  language  = {en}
}