Novelty Seeking Behavior in Destination Decision Making

2018 ◽  
Vol 2018 (30) ◽  
pp. 29-40 ◽  
Author(s):  
Aytuğ Arslan ◽  
Özer Yılmaz ◽  
Hakan Boz
2014 ◽  
Vol 128 (5) ◽  
pp. 556-566 ◽  
Author(s):  
Vincent D. Costa ◽  
Valery L. Tran ◽  
Janita Turchi ◽  
Bruno B. Averbeck

2020 ◽  
Author(s):  
Irene Cogliati Dezza ◽  
Xavier Noel ◽  
Axel Cleeremans ◽  
Angela J. Yu

ABSTRACTInformation-seeking is an important aspect of human cognition. Despite its adaptive role, we have rather limited understanding of the mechanisms that underlie information-seeking in healthy individuals and in psychopathological populations. Here, we investigate human information-seeking behaviors in healthy individuals and in behavioral addiction by using a novel decision-making task and a novel reinforcement learning model. We compare how healthy humans and addicted individuals differ in the way they trade off a general desire to reduce uncertainty (general information-seeking) and a desire for novelty (novelty-seeking) when searching for knowledge in the environment. Our results indicate that healthy humans and addicted individuals adopt distinct information-seeking modes. Healthy information-seeking behavior was mostly driven by novelty. Addicted individuals’ information-seeking was instead driven by both novelty and general information, with reduced novelty-seeking and increased general information-seeking compared to healthy controls. There are three important implications for our findings: (1) Enhanced novelty-seeking behaviors might be a predictor of wellbeing, (2) behavioral addiction may be marked by a reduction of novelty-seeking and an increase in general information-seeking, (3) the altered information-seeking pattern in addicted individuals may be a compensatory strategy that help them to cope with decision making under uncertainty. By showing healthy humans and addicted individuals adopt distinct information-seeking modes, this study not only sheds light on alterations in decision-making behavior in addiction, but also highlights the likely functional and biological dissociation of novelty-seeking and general information-seeking in the human brain.


2019 ◽  
Author(s):  
Marwen Belkaid ◽  
Jeffrey L. Krichmar

AbstractRecent findings suggest that acetylcholine mediates uncertainty-seeking behaviors through its projection to dopamine neurons – another neuromodulatory system known for its major implication in reinforcement learning and decision-making. In this paper, we propose a leaky-integrate-and-fire model of this mechanism. It implements a softmax-like selection with an uncertainty bonus by a cholinergic drive to dopaminergic neurons, which in turn influence synaptic currents of downstream neurons. The model is able to reproduce experimental data in two decision-making tasks. It also predicts that i) in the absence of cholinergic input, dopaminergic activity would not correlate with uncertainty, and that ii) the adaptive advantage brought by the implemented uncertainty-seeking mechanism is most useful when sources of reward are not highly uncertain. Moreover, this modeling work allows us to propose novel experiments which might shed new light on the role of acetylcholine in both random and directed exploration. Overall, this study thus contributes to a more comprehensive understanding of the roles of the cholinergic system and its involvement in decision-making in particular.


2018 ◽  
Vol 41 (1) ◽  
pp. 2-28 ◽  
Author(s):  
Satyanarayana Parayitam ◽  
Chris Papenhausen

Purpose This paper aims to investigate the effect of cooperative conflict management on agreement-seeking behavior, agreement-seeking behavior on decision outcomes, moderating role of competence-based trust on the relationship between agreement-seeking behavior and decision outcomes, and mediating role of agreement-seeking behavior between cooperative conflict management and decision outcomes. Design/methodology/approach Using a structured survey instrument, this paper gathered data from 348 students enrolled in a strategic management capstone course that features strategic decision-making in a simulated business strategy game. The data from 94 teams were collected from the student population using a carefully administered instrument. The data were aggregated after running the inter-rater agreement test and the analyzed to test the hypotheses. Findings The results from the hierarchical regression of the complex moderated mediation model reveal that cooperative conflict management is positively related to agreement-seeking behavior, and agreement-seeking behavior mediates the relationship between cooperative conflict management and decision outcomes. The results also suggest that competence-based trust acts as a moderator in the relationship between agreement-seeking behavior and decision quality; agreement-seeking behavior and team effectiveness, and agreement-seeking behavior and decision commitment. Results also support mediation of agreement-seeking behavior between cooperative conflict management and decision outcomes. Research limitations/implications The present research is based on self-report measures, and hence, the limitations of social desirability bias and common method bias are inherent. However, adequate care is taken to minimize these limitations. The research has implications for the strategic decision-making process literature. Practical implications In addition to the strategic management literature, this study contributes to practicing managers. The study suggests that competence-based trust plays a vital role in decision effectiveness. Administrators need to select the members in the decision-making process who have competence-based trust on one another and engage in agreement-seeking behavior. Social implications The findings from the study help in creating a fruitful social environment in organizations. Originality/value This study provides new insights about the previously unknown effects of cooperative conflict management and agreement-seeking behavior in strategic decision-making process.


2013 ◽  
Vol 45 (3) ◽  
pp. 274 ◽  
Author(s):  
Manizheh Karami ◽  
Nosaibeh Riahi ◽  
MohammadReza Jalali Nadoushan

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