Organizational Science
Online ISSN : 2187-932X
Print ISSN : 0286-9713
ISSN-L : 0286-9713
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Volume 47, Issue 4
Displaying 1-5 of 5 articles from this issue
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ARTICLES FOR THE SPECIAL ISSUE
  • Applied Neuroscience and Management
    Yoshinori Yamakawa, Ryota Kanai
    2014 Volume 47 Issue 4 Pages 6-15
    Published: June 20, 2014
    Released on J-STAGE: October 03, 2014
    DOIhttps://doi.org/10.11207/soshikikagaku.47.4_6
    JOURNAL FREE ACCESS
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    Remarkable developments have been recently made in the understanding of human, and of human mind, through neuroscience. Neuroimaging technologies to measure and quantify states of human mind, neuro-analytical technologies to interpret these states and neuro-application technologies to give meanings to and control them have greatly contributed to such advancements. This article firstly explains each of the technologies and suggests how to manage them better. Secondly, the article discusses how these technologies could be applied to the business management context, for businesspersons and corporate managers, in particular.
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  • Overlap and Interaction between Brain Science and Organizational Science
    Katsumi Watanabe
    2014 Volume 47 Issue 4 Pages 16-22
    Published: June 20, 2014
    Released on J-STAGE: October 03, 2014
    DOIhttps://doi.org/10.11207/soshikikagaku.47.4_16
    JOURNAL FREE ACCESS
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    Understanding humans from subjective as well as objective perspectives is vital to both brain science and organizational science. Decision-making process made by individuals and groups are based highly on implicit processes that are under influences of various social situations and other persons. And yet, we do not often realize the unconscious nature of our own behaviors and decisions. By presenting several examples from psychology, cognitive science and brain science, this paper explores the possibility of fruitful interactions between brain science and organizational science.
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  • New Developments in Neuroeconomics:
    Psychophysical Neuroeconomcis
    Taiki Takahashi
    2014 Volume 47 Issue 4 Pages 23-34
    Published: June 20, 2014
    Released on J-STAGE: October 03, 2014
    DOIhttps://doi.org/10.11207/soshikikagaku.47.4_23
    JOURNAL FREE ACCESS
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    This review article explains that in order to further develop the emerging field of neuroeconomics, it is important to incorporate discoveries from psychophysics (a discipline which examines the relationship between physical inputs and psychological responses to them) into modelling strategies in neuroeconomics. Firstly, temporal discounting, one of the most important economic decisions, is introduced, and then it is analyzed, by utilizing the framework of psychophysical neuroeconomics (an approach combining psychophysics and neuroeconomics). Secondly, the article illustrates the roles of neurobiological substrates (e.g., neurotransmitters and neurosteroids) in temporal discounting. In addition, findings in our neurogenetic studies on the modulation of temporal discounting behavior by stress and reward systems are introduced, and how these neuroeconomic studies can help us develop biomedical treatments for problematic behaviors (e.g., addiction and suicide) are addressed. Lastly, the article discusses topics in management sciences (e.g., allocation of time, work leisure balance and business ethics), by employing the analytical frameworks of probability and social discounting.
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  • Building Models of Kansei and Social Behaviors:
    Trialogue among Neuroscience, Engineering Science and Social Science
    Tomoharu Nagao, Shin Morishita, Katsunori Okajima, Yoko Takeda
    2014 Volume 47 Issue 4 Pages 35-47
    Published: June 20, 2014
    Released on J-STAGE: October 03, 2014
    DOIhttps://doi.org/10.11207/soshikikagaku.47.4_35
    JOURNAL FREE ACCESS
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    This paper explores interactions among engineering science, neuroscience and social science regarding kansei (sensibility), emotion, irrational behavior and collective social behavior, with a focus on four fields of engineering science: artificial neural network, sensory information processing, multi-agent system and complex network.
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