@article{MeythalerKrauseBaumannetal.2023,
  author    = {Meythaler, Antonia and Krause, Hannes-Vincent and Baumann, Annika and Krasnova, Hanna and Thatcher, Jason Bennett},
  title     = {The rise of metric-based digital status},
  series = {European Journal of Information Systems},
  journal   = {European Journal of Information Systems},
  publisher = {Taylor and Francis},
  address   = {London},
  issn      = {0960-085X},
  doi       = {10.1080/0960085X.2023.2290707},
  pages     = {1 -- 28},
  year      = {2023},
  abstract  = {Widespread on social networking sites (SNSs), envy has been linked to an array of detrimental outcomes for users' well-being. While envy has been considered a status-related emotion and is likely to be experienced in response to perceiving another's higher status, there is a lack of research exploring how status perceptions influence the emergence of envy on SNSs. This is important because SNSs typically quantify social interactions and reach with metrics that indicate users' relative rank and status in the network. To understand how status perceptions impact SNS users, we introduce a new form of metric-based digital status rooted in SNS metrics that are available and visible on a platform. Drawing on social comparison theory and status literature, we conducted an online experiment to investigate how different forms of status contribute to the proliferation of envy on SNSs. Our findings shed light on how metric-based digital status influences feelings of envy on SNSs. Specifically, we could show that metric-based digital status impacts envy through increasing perceptions of others' socioeconomic and sociometric statuses. Our study contributes to the growing discourse on the negative outcomes associated with SNS use and its consequences for users and society.},
  language  = {en}
}
@incollection{GrumGronau2021,
  author    = {Grum, Marcus and Gronau, Norbert},
  title     = {Quantification of knowledge transfers},
  series = {Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5-7, 2021, Proceedings},
  volume    = {422},
  booktitle = {Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5-7, 2021, Proceedings},
  editor    = {Shishkov, Boris},
  publisher = {Springer International Publishing},
  address   = {Cham},
  isbn      = {978-3-030-79975-5},
  doi       = {10.1007/978-3-030-79976-2_13},
  pages     = {224 -- 242},
  year      = {2021},
  abstract  = {Faced with the triad of time-cost-quality, the realization of knowledge-intensive tasks at economic conditions is not trivial. Since the number of knowledge-intensive processes is increasing more and more nowadays, the efficient design of knowledge transfers at business processes as well as the target-oriented improvement of them is essential, so that process outcomes satisfy high quality criteria and economic requirements. This particularly challenges knowledge management, aiming for the assignment of ideal manifestations of influence factors on knowledge transfers to a certain task. Faced with first attempts of knowledge transfer-based process improvements [1], this paper continues research about the quantitative examination of knowledge transfers and presents a ready-to-go experiment design that is able to examine quality of knowledge transfers empirically and is suitable to examine knowledge transfers on a quantitative level. Its use is proven by the example of four influence factors, which namely are stickiness, complexity, competence and time pressure.},
  language  = {en}
}
@article{Fischer2022,
  author    = {Fischer, Caroline},
  title     = {Incentives can't buy me knowledge},
  series = {Review of public personnel administration},
  volume    = {42},
  journal   = {Review of public personnel administration},
  number    = {2},
  publisher = {Sage},
  address   = {London},
  issn      = {0734-371X},
  doi       = {10.1177/0734371X20986839},
  pages     = {368 -- 389},
  year      = {2022},
  abstract  = {This study examines whether incentives affect public employees' intention to share knowledge. Tested incentives satisfy needs for either achievement or appreciation. Both treatments were tested on implicit as well as explicit knowledge sharing. A 2 x 3 factorial survey experiment was designed to observe within-person and between-person effects. Data were collected from public employees in the core administration and healthcare sector (n = 623) in 2018. The analysis indicates that both treatments positively affect knowledge-sharing intention if it is explicit knowledge that ought to be shared. However, no effects of either treatment can be found in either type of knowledge sharing. No negative effect of the tested incentives on knowledge sharing was observed. Hence, incentives might not harm knowledge sharing but also do not pay off in organizational practice. In contrast to these motivation-enhancing human resource practices, ability and opportunity-enhancing practices should be tested to foster knowledge sharing.},
  language  = {en}
}