Integrasi IQ, EQ, Penguasaan Teknologi dan Ketelitian pada Kualitas Keputusan Organisasi
DOI:
https://doi.org/10.32585/jbfe.v5i1.5617Keywords:
Decision-Making, Intellectual Intelligence (IQ), Emotional Intelligence (EQ), Technological Proficiency, MeticulousnessAbstract
In the current era of rapid technological disruption, effective decision-making within organizations is crucial for maintaining competitive advantage and operational sustainability.This study investigates the elements that lead to prudent decision-making, emphasizing the combination of emotional and intellectual intelligence (EQ), constant advancement in technological and information mastery, and meticulousness. The study identifies how these elements interact to improve decision quality by synthesizing the body of previous information. The results show that IQ and EQ together account for 50% of decision quality, whereas knowledge, technological proficiency, and meticulousness account for 20% and 30% of the total, respectively. While EQ focuses on understanding and controlling emotions, IQ covers cognitive skills like logical reasoning and problem-solving. Technology and knowledge mastery facilitate decision-making by delivering pertinent information in a timely manner via efficient knowledge management systems (KMS). Meticulousness, characterized by careful attention to detail, is essential for thorough and precise decision-making. The integration of intellectual intelligence (IQ) and emotional intelligence (EQ), technological proficiency, and meticulousness forms a comprehensive framework for achieving wise and accurate decisions, ensuring that organizations remain agile and responsive to dynamic environments.
Downloads
References
Alavi, M., & Leidner, D. E. (2001). Review: Knowledge systems: Management knowledge and foundations conceptual. MIS Quarterly, 25(1), 107–136. https://www.jstor.org/stable/3250961?origin=crossref
Alyoubi, B. A. (2015). Decision support system and knowledge-based strategic management. Procedia Computer Science, 65(Iccmit), 278–284. https://doi.org/10.1016/j.procs.2015.09.079
Amisha, B. (2024). Role of emotional intelligence in leadership and organizational performance in Indonesia. International Journal of Psychology, 9(2), 1–12. https://doi.org/10.47604/ijp.2362
Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1–13. https://doi.org/10.1016/j.ejor.2015.12.023
Bruch, E., & Feinberg, F. (2017). Decision-making processes in social contexts. Annual Review of Sociology, 43, 207–227. https://doi.org/10.1146/annurev-soc-060116-053622
CASP. (2018). Critical appraisal skills program: Systematic review.
Elizabeth, B., & Fred, F. (2017). Decision-making processes in social contexts. Annual Review of Sociology, 43, 207–227. https://doi.org/10.1146/annurev-soc-060116-053622
Elwyn, G., & Miron-Shatz, T. (2010). Deliberation before determination: The definition and evaluation of good decision making. Health Expectations, 13(2), 139–147. https://doi.org/10.1111/j.1369-7625.2009.00572.x
Giaglis, G. M., Paul, R. J., & Doukidis, G. I. (2000). Dynamic modeling to assess the business value of electronic commerce. International Journal of Electronic Commerce, 3(3), 35–51. https://doi.org/10.1080/10864415.1999.11518340
Goleman, D. (2006). Emotional intelligence: Why it can matter more than IQ. Bantam.
Handzic, M. (2001). Does more information lead to better informing? Proceedings of the 2001 InSITE Conference. https://doi.org/10.28945/2383
Hess, J. D., & Bacigalupo, A. C. (2011). Enhancing decisions and decision-making processes through the application of emotional intelligence skills. Management Decision, 49(5), 710–721. https://doi.org/10.1108/00251741111130805
Jones, K. (2006). Knowledge management as a foundation for decision support systems. Journal of Computer Information Systems, 46(4), 116–124. https://doi.org/10.1080/08874417.2006.11645918
Kaplan, S., & Garrick, B. J. (1981). On the quantitative definition of risk. Annals of Occupational Hygiene, 24(2), 11–27. https://doi.org/10.1093/annhyg/24.2.245
Lee, M., & Cheng, J. (2007). Development of multi-enterprise collaborative enterprise intelligent decision support system. Journal of Convergence Information Technology, 2(June), 64–69. http://pdf.aminer.org/000/247/979/multi_enterprise_collaborative_enterprise_resource_planning_and_decision_support_systems.pdf
Nicolas, R. (2004). Knowledge management impacts on decision making process. Journal of Knowledge Management, 8(1), 20–31. https://doi.org/10.1108/13673270410523880
Noble, S. M., Mende, M., Grewal, D., & Parasuraman, A. (2022). The fifth industrial revolution: How harmonious human–machine collaboration is triggering a retail and service [R]evolution. Journal of Retailing, 98(2), 199–208. https://doi.org/10.1016/j.jretai.2022.04.003
Sahu, A. K., Padhy, R. K., & Dhir, A. (2020). Envisioning the future of behavioral decision-making: A systematic literature review of behavioral reasoning theory. Australasian Marketing Journal, 28(4), 145–159. https://doi.org/10.1016/j.ausmj.2020.05.001
Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG
Sher, P. J., & Lee, V. C. (2004). Information technology as a facilitator for enhancing dynamic capabilities through knowledge management. Information and Management, 41(8), 933–945. https://doi.org/10.1016/j.im.2003.06.004
Skyrius, R. (2001). Business decision making, managerial learning and information technology. Proceedings of the 2001 InSITE Conference. https://doi.org/10.28945/2368
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104(July), 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Tran, T. D., & Pham, T. V. (2024). The relationship between thinking ability, emotional intelligence, and decision-making. Emerging Science Journal, 8(2), 644–657. https://doi.org/10.28991/ESJ-2024-08-02-017
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Journal of Business, Finance, and Economics (JBFE)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with the Journal Of Business, Finance, and Economics (JBFE) agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.