scholarly journals The Impact of Social Value Orientations on Negotiator Cognition and Behavior

1995 ◽  
Vol 21 (11) ◽  
pp. 1178-1188 ◽  
Author(s):  
Carsten K. W. de Dreu ◽  
Paul A. M. van Lange
1974 ◽  
Vol 3 (2) ◽  
Author(s):  
Franz Urban Pappi ◽  
Edward O. Laumann

AbstractSocial value orientations are introduced as a central set of variables for theories of voting behavior. Voting behavior is used as an example for a class of models which can demonstrate the linkage between social structure and individual behavior. Social value orientations are analytically defined and examined in relationship with related and complementary concepts like interests. Theoretically based on the AGIL paradigm, a comprehensive sample of indicators of social values is drawn from appropriate attitude scales. The structure of value orientations is empirically delineated by a multidimensional scaling procedure using the correlations between the indicators as input. Knowing this structure it is possible to construct a parsimonious set of eight scales of value orientations. Canonical correlations and discriminant analysis are the procedures used to relate this set with social structural antecedents and political attitudes and behavior as presumed consequences. The empirical analysis is based on data from the Jülich community study.


2019 ◽  
Author(s):  
Ozan Aksoy

This study provides an extension of the social value orientation model and a tool, other-other Decomposed Games, to quantify the influence of social identity on social value orientations. Social identity is induced experimentally using the minimal group paradigm. Subsequently, the weights subjects add to the outcomes of outgroup others relative to ingroup others and to the absolute difference between the outcomes of ingroup and outgroup others are estimated. Results are compared to a control condition in which social identity is not induced. Results show that when the outgroup is better off than the ingroup, the average subject is spiteful: they derive negative utility from the outcomes of the outgroup other. When the ougroup is worse off than the ingroup, the average subject attaches similar weights to the outcomes of outgroup and ingroup others. There is also significant variation across subjects with respect to the level of ingroup bias.


Author(s):  
A.N. Raikov ◽  

The paper addresses the issue of identification the social and humanitarian grounds for constructing criteria for assessing the impact of various factors on the development of innovations using artificial intelligence (AI) technologies. The analysis of basic concepts, standards and criteria for evaluating innovations has been carried out; an analytical review of foreign scientific publications was made. It is shown that modern systems for assessing innovations related to digital technologies and AI place the main emphasis on technological factors in the development of innovations. Social value orientations, including defining the ethical dimensions and social consequences of the malicious use of AI was identified; the analysis of innovation models in the context of quality management and differentiation of semantics of AI models is carried out. As a result, a classification of various types of AI was constructed, taking into account the social and humanitarian grounds for constructing criteria for assessing the impact of various factors on the development of innovations in the field of AI. It allows to increase the reputation potential of companies developing AI systems and AI systems themselves, to counter negative trends in the field of ethics associated with the use of digital technologies and AI.


2008 ◽  
Vol 148 (2) ◽  
pp. 223-246 ◽  
Author(s):  
William D. Anderson ◽  
Miles L. Patterson

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