Vol. 5 No. 1 (2025): Issue 5
Articles

Analysis of Dominant Emotional Value through Global Sensitivity Analysis

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  • Hua Lin,
  • Mei Chen,
  • Osman Kaya,
  • Jian Yu
Hua Lin
Institute of Cognitive Science and Technology, National Chiayi University, Chiayi, 60004, Taiwan
Mei Chen
Center for Advanced Studies in Neural Networks, National Pingtung University, Pingtung, 90003, Taiwan
Jian Yu
Systems Analysis and Computing Laboratory, National Yunlin University of Science and Technology, Douliu, 64002, Taiwan

Published 2025-03-07

Keywords

  • Emotional Value,
  • Global Sensitivity Analysis,
  • Decision-Making,
  • Emotional Data,
  • Methodology

How to Cite

Lin, H., Chen, M., Kaya, O., & Yu, J. (2025). Analysis of Dominant Emotional Value through Global Sensitivity Analysis. Journal of Business and Organizational Leadership , 5(1). Retrieved from https://ojs.mri-pub.com/index.php/JBOL/article/view/125

Abstract

This paper addresses the analysis of dominant emotional value through Global Sensitivity Analysis (GSA). Emotions play a crucial role in decision-making, yet identifying and understanding dominant emotional values remains a challenging task in various research fields. Current research often struggles with the complexity of emotional data and lacks a systematic approach to identify dominant emotional values. To fill this gap, this study proposes a novel framework utilizing GSA to quantify the sensitivity of emotional values in decision-making processes. By applying GSA to emotional data sets, this approach aims to reveal the key emotional factors driving decision outcomes. This innovative methodology not only enhances our understanding of dominant emotional values but also provides valuable insights for a wide range of disciplines, from psychology to economics.

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