Farrokhi Rad, M., Baghersalimi, S., Azadehdel, M. (2023). Examining the coherence of brain waves and heart waves of managers in decision-making activities based on the components of emotional intelligence. , 32(110), 73-106. doi: 10.22054/jmsd.2023.72956.4292
Marzieh Farrokhi Rad; Saeed Baghersalimi; Mohammad Reza Azadehdel. "Examining the coherence of brain waves and heart waves of managers in decision-making activities based on the components of emotional intelligence". , 32, 110, 2023, 73-106. doi: 10.22054/jmsd.2023.72956.4292
Farrokhi Rad, M., Baghersalimi, S., Azadehdel, M. (2023). 'Examining the coherence of brain waves and heart waves of managers in decision-making activities based on the components of emotional intelligence', , 32(110), pp. 73-106. doi: 10.22054/jmsd.2023.72956.4292
Farrokhi Rad, M., Baghersalimi, S., Azadehdel, M. Examining the coherence of brain waves and heart waves of managers in decision-making activities based on the components of emotional intelligence. , 2023; 32(110): 73-106. doi: 10.22054/jmsd.2023.72956.4292
Examining the coherence of brain waves and heart waves of managers in decision-making activities based on the components of emotional intelligence
1Ph.D. student ,Department of Public Administration, Rasht Branch, Islamic Azad University, Rasht, Iran
2Assistant Professor, Department of Public Administration, Rasht Branch, Islamic Azad University, Rasht, Iran
3Assistant Professor, Department of Public Administration, Rasht Branch, Islamic Azad University, Rasht, Iran
Abstract
The present study explained the issue of decision-making under the influence of the coherence of brain waves and heart waves based on each of the components of emotional intelligence of Mayer and Salovey, how the coherence of EEG and ECG is based on neuroscience and neurocardiology, and the decision-making styles of managers based on based on Scott and Bruce's model and presented its results. The sample of the present study was 30 managers of governmental and non-governmental organizations in the agricultural sector of Gilan province who voluntarily participated in this research and in two situations of relaxation and decision-making with Neurofeedback tool, Biofeedback Procomp 2 while running the CGT decision evaluation test of CANTAB software, brain waves and their heart waves were simultaneously recorded from the CZ area of the brain and the areas around the heart by Biograph version 6 software. The results showed the coherence of EEG and ECG waves. During rest and recognition tasks There were significant differences in different decision-making styles and emotional intelligence components, and none of the decision-making styles had a significant correlation between brain waves and heart waves in two states of relaxation and decision making.
Jolatan, N. Ku, Y. Liu, M. Hu, Y. Bodner, M. Grabner,H. Fink, A. (2019). Reflection enhances creativity: Beneficial effects of idea evaluation on idea generation. Brain and Cognition, 103, 30-37.
http://dx.doi.org/10.1016/j.bandc.2016.01.005
M.S, Chung, H. Lee, Y. (2019). The effect of cognitive-behavioral group therapy on the self-esteem, depression, and self-efficacy of runaway adolescents in a shelter in South Korea. Appl Nurs Res,18(3), 160-6. doi: 10.1016/j.apnr.2004.07.006.
Lee, H. C. (2020). The effect of beta blockade on stress-induced cognitive dysfunction in adolescents. Clinical pediatrics, 30(7), 441-445. doi: 10.1177/000992289103000706
McCraty. (2015).The Heary has its own Brain and consciousenss. In DJANUARY Meditation science.
Natelson, B.H. (Feb 1985). Neurocardiology An interdisciplinary area for the 80s. Neurol, 42(2), 84-178. doi: 10.1001/archneur.1985.04060020096022.
Qudusi, M.R. Mahmoudi, J. Musa Khani, M. & Jafari, M. (2016), Presenting the framework of knowledge governance in social networks. Bi-Quarterly Journal of Scientific Information Management, 5(1), 15-39. 22034/aimj.2019.96045
E. (2018). tackling creativity at its roots: Evidence for different patterns of EEG alpha activity related to convergent and divergent modes of task processing. International Journal ofPsychophysiology, 84, 219–225. https://doi.org/10.1016/j.ijpsycho.2012.02.012
Scott, S.G. & Bruce, R.A. (1995). Decision-making style: the development and assessment of a new measure. Educational and Psychological Measurement, 55, 818-831. DOI:1177/0013164495055005017
Bahlouli, H. & Ghaffari, M. (2022). An introduction to the relationship between the biological environment and the cognitive environment of the policymaker: brain, mind and decision. Public Policy, 6(3), 33-57. Doi:22059/jppolicy.2020.79516[InPersian]
Shirzad, M. Abooyee Ardakan, M. Nazari, M. A. & Gholipour, A. (2021). Cognitive Neurological Investigation of Organizational Leaders’ Brain in the Strategic Thinking Activity: How to Design Cognitive Tasks for a Quantitative Electroencephalography (QEEG) Based Approach? Journal of Business Management, 11(1), 63-86. 22059/jibm.2018.263731.3178 [InPersian]
Walian, A. & Mazloumi, N. (2021). A theoretical framework of decision-making researches in the implementation of strategy with cognitive neuroscience approach. 16th International Management Conference[InPersian]