scholarly journals Playing a Game or Making a Decision? Methodological Issues in the Measurement of Distributional Preferences

Games ◽  
2018 ◽  
Vol 9 (4) ◽  
pp. 80 ◽  
Author(s):  
Matthias Greiff ◽  
Kurt Ackermann ◽  
Ryan Murphy

In terms of role assignment and informational characteristics, different contexts have been used when measuring distributional preferences. This could be problematic as contextual variance may inadvertently muddle the measurement process. We use a within-subjects design and systemically vary role assignment as well as the way information is displayed to subjects when measuring distributional preferences in resource allocation tasks as well as proper games. Specifically we examine choice behavior in the contexts of role certainty, role uncertainty, decomposed games, and matrix games. Results show that there is large heterogeneity in the choices people make when deciding how to allocate resources between themselves and some other person under different contextual frames. For instance, people make more prosocial choices under role uncertainty as compared to role certainty. Furthermore, altering the way information is displayed given a particular situation can have a more dramatic effect on choice behavior than altering the situation itself. That is, depending on how information is displayed, people may behave as if they would perform a non-strategic decision making task when in fact they are playing a proper game characterized by strategic interdependence.

Author(s):  
Andrew B. Nyaboga ◽  
Muroki F. Mwaura

Most decision makers have biases that are inherent the way they seek information, estimate the outcomes, and attach values to outcomes that produce rational behavior. Many aspects of decision-making may not be accurate because of information processing limitations, power and politics. This paper presents a set of ideas, models, and limitations caused by biases of a decision maker when sorting information.


2021 ◽  
Vol 13 (2) ◽  
pp. 845
Author(s):  
Marli Gonan Božac ◽  
Katarina Kostelić

The inclusion of emotions in the strategic decision-making research is long overdue. This paper deals with the emotions that human resource managers experience when they participate in a strategic problem-solving event or a strategic planning event. We examine the patterns in the intensity of experienced emotions with regard to event appraisal (from a personal perspective and the organization’s perspective), job satisfaction, and coexistence of emotions. The results reveal that enthusiasm is the most intensely experienced emotion for positively appraised strategic decision-making events, while frustration is the most intensely experienced emotion for negatively appraised problem-solving events, as is disappointment for strategic planning. The distinction between a personal and organizational perspective of the event appraisal reveals differences in experienced emotions, and the intensity of experienced anger is the best indicator of the difference in the event appraisals from the personal and organizational perspective. Both events reveal the variety of involved emotions and the coexistence of—not just various emotions, but also emotions of different dominant valence. The findings indicate that a strategic problem-solving event triggers greater emotional turmoil than a strategic planning event. The paper also discusses theoretical and practical implications.


Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 12
Author(s):  
Ekin Akkol

The aim of this study is to develop a web application that supports decision-making processes on subjects—such as customer relations management, marketing, and stock management—with data such as posts, comments, and likes from Instagram to four e-commerce companies. In this context, the data obtained from the Instagram accounts of e-commerce companies were recorded in a database after the pre-processing and classification stages. A web application has been developed that can support managers in their decision-making processes at operational, tactical, and strategic decision-making levels by visualizing the data recorded in the database.


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