The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations

Ötting SK, Maier GW (2018)
Computers in Human Behavior 89: 27-39.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Restricted Ötting & Maier (2018). The importance of procedural justice in HMI.pdf 638.22 KB Request a Copy
Abstract / Bemerkung
In the present study, the effects of procedural justice (fair or unfair) and the type of decision agent (human, robot, or computer) on employee behavior and attitudes (e.g., job satisfaction, organizational citizenship behavior, or counterproductive work behaviors) were examined. It was predicted that the type of decision agent (or the source of justice) would moderate the relationship between procedural justice and employee behavior and attitudes, with the relationship being strongest when the decision agent is a human team leader, medium when the decision agent is a humanoid robot, and weakest when the agent is a computer system. This research question was investigated with a between-subjects design in two experiments (N1 = 149 and N2 = 145) that displayed two different decision situations in organizations (allocation of new tasks and allocation of further vocational trainings). Results of both studies showed significant effects of procedural justice on employee behavior and attitudes, confirming the importance of procedural justice at the workplace for both human and system decision agents. Furthermore, both studies failed to verify any interaction effects of procedural justice and the decision agent. This further emphasizes the importance of procedural justice in decision situations because there is no difference in reactions to procedural justice of human or system decisions. Limitations and implications for future research and the integration of justice and human–machine interaction research are discussed.
Stichworte
Arbeit4; procedural justice; human–machine interaction; decision agent; source of justice; employee behavior and attitudes; experimental vignette study; leadership
Erscheinungsjahr
2018
Zeitschriftentitel
Computers in Human Behavior
Band
89
Seite(n)
27-39
ISSN
0747-5632
Page URI
https://pub.uni-bielefeld.de/record/2921350

Zitieren

Ötting SK, Maier GW. The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations. Computers in Human Behavior. 2018;89:27-39.
Ötting, S. K., & Maier, G. W. (2018). The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations. Computers in Human Behavior, 89, 27-39. doi:10.1016/j.chb.2018.07.022
Ötting, Sonja Kristine, and Maier, Günter W. 2018. “The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations”. Computers in Human Behavior 89: 27-39.
Ötting, S. K., and Maier, G. W. (2018). The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations. Computers in Human Behavior 89, 27-39.
Ötting, S.K., & Maier, G.W., 2018. The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations. Computers in Human Behavior, 89, p 27-39.
S.K. Ötting and G.W. Maier, “The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations”, Computers in Human Behavior, vol. 89, 2018, pp. 27-39.
Ötting, S.K., Maier, G.W.: The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations. Computers in Human Behavior. 89, 27-39 (2018).
Ötting, Sonja Kristine, and Maier, Günter W. “The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations”. Computers in Human Behavior 89 (2018): 27-39.
Volltext(e)
Name
Ötting & Maier (2018). The importance of procedural justice in HMI.pdf 638.22 KB Request a Copy
Access Level
Restricted Request a Copy
Zuletzt Hochgeladen
2019-09-06T07:37:01Z
MD5 Prüfsumme
67676ef18935af8c6b18aa5d2469380b


Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Suchen in

Google Scholar