The importance of procedural justice in Human–Machine Interactions: Intelligent systems as new decision agents in organizations

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 th...

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Published in:	Computers in human behavior Vol. 89; pp. 27 - 39
Main Authors:	Ötting, Sonja K., Maier, Günter W.
Format:	Journal Article
Language:	English
Published:	Elmsford Elsevier Ltd 01.12.2018 Elsevier Science Ltd
Subjects:	Attitudes Behavior Between-subjects design Decision agent Employee attitude Employee behavior and attitudes Experimental vignette study Experiments Human behavior Humanoid Human–machine interaction Intelligent systems Job satisfaction Organizational aspects Organizations Procedural justice Research methodology Robots Source of justice Human–machine interaction Employee behavior and attitudes Decision agent Procedural justice Source of justice Experimental vignette study
ISSN:	0747-5632, 1873-7692
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Abstract	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. •Procedural justice fosters beneficial attitudes and behaviors in organizations.•Procedural justice diminishes harmful behaviors in organizations.•Type of decision agent (human/intelligent system) does not moderate justice effects.•Procedural justice is important, no matter who has made the decision.
AbstractList	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. 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. •Procedural justice fosters beneficial attitudes and behaviors in organizations.•Procedural justice diminishes harmful behaviors in organizations.•Type of decision agent (human/intelligent system) does not moderate justice effects.•Procedural justice is important, no matter who has made the decision.
Author	Ötting, Sonja K. Maier, Günter W.
Author_xml	– sequence: 1 givenname: Sonja K. surname: Ötting fullname: Ötting, Sonja K. email: soetting@uni-bielefeld.de – sequence: 2 givenname: Günter W. surname: Maier fullname: Maier, Günter W.
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Keywords	Human–machine interaction Employee behavior and attitudes Decision agent Procedural justice Source of justice Experimental vignette study
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Snippet	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...
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SubjectTerms	Attitudes Behavior Between-subjects design Decision agent Employee attitude Employee behavior and attitudes Experimental vignette study Experiments Human behavior Humanoid Human–machine interaction Intelligent systems Job satisfaction Organizational aspects Organizations Procedural justice Research methodology Robots Source of justice
Title	The importance of procedural justice in Human–Machine Interactions: Intelligent systems as new decision agents in organizations
URI	https://dx.doi.org/10.1016/j.chb.2018.07.022 https://www.proquest.com/docview/2132229134
Volume	89
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