Analyzing How AI And Emotional Intelligence Affect Indian IT Professional’s Decision-Making

Authors

DOI:

https://doi.org/10.4108/eetpht.9.4654

Keywords:

Artificial Intelligence, Emotional Intelligence, Decision-making Processes, IT Professionals, India

Abstract

Artificial intelligence (AI) is transforming how we work and make choices, but it also poses ethical and societal issues including algorithmic discrimination and dehumanization. It is critical to take into account corporate culture, emotional intelligence, cooperation, communication, and constant learning when using AI systems in the workplace. It has been demonstrated that emotional intelligence increases AI adoption, efficacy, and performance across a variety of sectors. But ethical concerns and trouble making decisions are also important. Effective collaboration, communication, and corporate culture are crucial for successful AI adoption, and continuing learning and development are essential for enhancing decision-making abilities. AI ethics in the workplace necessitate a comprehensive strategy that considers both technical and non-technical aspects. This study looks at the benefits of emotional intelligence, moral concerns, effective stakeholder and IT specialist engagement, organisational culture, and potential threats of artificial intelligence (AI) in decision-making. The study underlines the value of continuous AI learning and development.

Downloads

Download data is not yet available.

References

Giannakos, M. N., Tsolakidis, C., & Tsolakidis, P. : Communication in artificial intelligence systems: A systematic literature review. Computers in Human Behavior, 119, 106743 (2021).

Lim, D. H., & Kim, S. W.: Understanding the impact of organizational culture on artificial intelligence implementation in healthcare. Healthcare Management Forum, 34(2), 68-74 (2021).

Miao, R., Wang, J., & Sun, Y.: Emotional intelligence and artificial intelligence acceptance: Evidence from China. Computers in Human Behavior, 123, 106901 (2021).

Fountas, G., Gkiokas, A., & Lymperopoulos, I. : The impact of emotional intelligence on the performance of artificial intelligence systems in healthcare. International Journal of Healthcare Management, 1-10 (2020).

Janssen, M., & Van der Voort, H.: The challenges of artificial intelligence for public administration: putting the right safeguards in place for ethical decision-making. International Review of Administrative Sciences, 85(3), 583-600 (2019).

Lee, J. W., Lee, D., & Lee, C. K. : Customer service employees’ emotional labor and job satisfaction in the era of artificial intelligence. Journal of Service Theory and Practice, ahead-of-print (2021).

Mittal, S., &Goyal, M.: Ethical implications of artificial intelligence (AI) in banking sector: A systematic review. Journal of Financial Services Marketing, 25(3), 140-150. (2020).

Tseng, Y. H., & Shih, Y. H. : The impact of continuous learning on the effectiveness of artificial intelligence-supported decision-making in the financial industry. Technological Forecasting and Social Change, 166, 120598 (2021). DOI: https://doi.org/10.1016/j.techfore.2021.120598

Al-Fawaz, K., Al-Salti, Z., &Eldabi, T.: Factors affecting adoption of artificial intelligence in healthcare: a systematic literature review. Journal of Health Organization and Management, 31(1), 15- 28 (2017).

Choudhury, A., & Goyal, R. K. : Human-AI Interaction: A Systematic Review. ACM Transactions on Computer-Human Interaction (TOCHI), 27(3), 1-43. (2020).

Goleman, D. : Emotional intelligence: Why it can matter more than IQ. Bantam Books (1995).

Graña, M., García-Sáez, G., & Montero, F. : Assessing emotional intelligence through psychophysiological and behavioural data fusion. Sensors, 19(7), 1512 (2019).

Kaur, G., & Singh, A. : Artificial intelligence in healthcare: present status and future prospects. International Journal of Computer Applications, 182(38), 32-37 (2018). DOI: https://doi.org/10.5120/ijca2018918018

Mayer, J. D., Caruso, D. R., &Salovey, P. : The ability model of emotional intelligence: Principles and updates. Emotion Review, 8(4), 290-300 (2016). DOI: https://doi.org/10.1177/1754073916639667

Pantano, E., &Laria, G. : Artificial intelligence, human-like processing and ethical issues: The need for a code of conduct. Journal of Business Research, 89, 464-476 (2018).

Sundar, S. S., Kang, J., Oprean, D., &Sriraman, S. : Designing chatbots for crisiscounseling: A case study of an AI-based conversation agent. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp.3750-3761), (2017).

Zhang, L., Wang, C., & Liang, C. (2020). Can artificial intelligence be more emotionally intelligent than people? An empirical investigation. Information & Management, 57(2), 103173.

Alimardani, M., Shokouhi, M., & Karimian, A. : Emotion detection using artificial intelligence: A systematic review. Journal of Ambient Intelligence and Humanized Computing, 10(7), 2689-2715 (2019).

Antonietti, A., & Gatti, F. : Emotional intelligence and attitudes toward artificial intelligence: An exploratory study. International Journal of Human–Computer Interaction, 36(15), 1399-1413 (2020).

Bose, R. : A study on the impact of emotional intelligence on performance in Indian IT companies. International Journal of Research and Analytical Reviews, 6(1), 83-90 (2019).

Kouloumpis, E., Wilson, T., & Moore, J. : Twitter sentiment analysis: The good the bad and the OMG! Icwsm, 11(538-541), 164 (2011).

Mayer, J. D., Salovey, P., & Caruso, D. R. : Models of emotional intelligence. Handbook of Intelligence, 2, 396-420 (2000).

Pak, A., & Paroubek, P. : Twitter as a corpus for sentiment analysis and opinion mining. LREc, 10, 1320-1326 (2010).

Safadi, R., Al-Ayyoub, M., Al-Shehari, A., & Al-Kabi, M. : Artificial intelligence and emotional intelligence for mental health: Systematic literature review. Journal of Medical Internet Research, 23(3), e22845 (2021).

Wu, Y., Wang, J., Zhou, X., & Zhang, D. : Analyzing emotional intelligence of IT professionals in China: A case study of Tencent. Sustainability, 11(17), 4705-4724 (2019).

Alimardani, M., Shokouhi, M., &Karimian, A. : Emotion detection using artificial intelligence: A systematic review. Journal of Ambient Intelligence and Humanized Computing, 10(7), 2689-2715 (2019).

Cohen, A. : Emotion AI for customer service: The next frontier in human-computer interaction. AI Magazine, 40(4), 44-50 (2019).

Goleman, D. : Emotional intelligence: Why it can matter more than IQ. Bantam Books (1995).

Kouloumpis, E., Wilson, T., & Moore, J. : Twitter sentiment analysis: The good the bad and the OMG! Icwsm, 11(538-541), 164 (2011). DOI: https://doi.org/10.1609/icwsm.v5i1.14185

Mayer, J. D., Salovey, P., & Caruso, D. R. : Models of emotional intelligence. Handbook of Intelligence, 2, 396-420 (2000). DOI: https://doi.org/10.1017/CBO9780511807947.019

Pak, A., & Paroubek, P. : Twitter as a corpus for sentiment analysis and opinion mining. LREc, 10, 1320-1326 (2010).

Wu, Y., Wang, J., Zhou, X., & Zhang, D. : Analyzing emotional intelligence of IT professionals in China: A case study of Tencent. Sustainability, 11(17), 4705-4724 (2019).

Fjeld, J., Arroyo, E., & Mendes, E. : The societal implications of artificial intelligence in healthcare decision-making. Journal of Medical Systems, 45(2), 1-8 (2021).

Sadowski, J., & Jones, M. : The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 162, 120326 (2021).

Verbeek, T., & Nørskov, M. : The ethics of using AI in recruitment: A case for a human-centred approach. Business Horizons, 64(3), 327-336 (2021).

Ashforth, B. E., & Humphrey, R. H. : Emotional labor in service roles: The influence of identity. Academy of Management Review, 18(1), 88-115 (1995). DOI: https://doi.org/10.5465/amr.1993.3997508

Brackett, M. A., Rivers, S. E., & Salovey, P. : Emotional intelligence: Implications for personal, social, academic, and workplace success. Social and Personality Psychology Compass, 5(1), 88-103 (2011). DOI: https://doi.org/10.1111/j.1751-9004.2010.00334.x

Choudhury, P. : Artificial Intelligence in the Indian IT industry: Opportunities and Challenges. International Journal of Computer Science and Network Security, 20(2), 65-72 (2020).

Goleman, D. : Emotional intelligence: Why it can matter more than IQ. Bantam (1995).

Mayer, J. D., &Salovey, P. : What is emotional intelligence? In P. Salovey& D. J. Sluyter (Eds.), Emotional development and emotional intelligence: Educational implications (pp. 3-34). Basic Books (1997).

McShane, S. L., & Von Glinow, M. A. : Organizational behavior: Emerging knowledge, global insights. McGraw-Hill Education (2018).

Pappas, I. O., & Giannakos, M. N. : Exploring the relationship between personality, affective states, and self-regulated learning in an open and personalized learning environment. Educational Technology Research and Development, 65(6), 1433-1453 (2017).

Salovey, P., & Mayer, J. D. : Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185-211(1990). DOI: https://doi.org/10.2190/DUGG-P24E-52WK-6CDG

Singh, S., Mishra, S. K., &Tripathi, R. : Understanding emotional intelligence in Indian organizations. Indian Journal of Industrial Relations, 54(2), 203-217(2019).

Suri, S., & Grover, P. : An overview of artificial intelligence and its applications. International Journal of Computer Applications, 179(38), 1-7 (2018).

Tversky, A., &Kahneman, D. : Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131 (1974). DOI: https://doi.org/10.1126/science.185.4157.1124

Vakulenko, M., &Barylo, N. : The role of emotional intelligence in the development of a decision- making culture. International Journal of Education and Science, 2(2), 50-55 (2019).

Wang, X., & Yuan, S. : The impact of emotional intelligence on decision-making: Evidence from China. International Journal of Environmental Research and Public Health, 16(6), 1071 (2019). DOI: https://doi.org/10.3390/ijerph16183478

Yang, L., & Lin, L. : Research on the relationship between emotional intelligence and decision-making in university teachers. Journal of Psychology and Behavioural Science, 7(2), 33-38 (2019).

Zhang, S., &Seli, H. : The relationship between emotional intelligence and decision-making: A meta- analysis. Personality and Individual Differences, 169, 110051 (2021).

Zhao, Y., & Zhang, H. : The impact of emotional intelligence on decision-making performance: Evidence from China. Sustainability, 11(4), 1054 (2019).

Mishra, S. K., Singh, S., &Tripathi, R. : The impact of emotional intelligence on the creativity of knowledge workers in Indian organizations. Journal of Business and Psychology, 35(6), 719-735 (2020).

Wu, L., Xu, W., & Zhang, L. : The effect of emotional intelligence on decision-making: Evidence from China's manufacturing industry. Journal of Business Research, 122, 229-237 (2021).

Brackett, M. A., & Salovey, P. : Measuring emotional intelligence with the Mayer-Salovery-Caruso Emotional Intelligence Test (MSCEIT). Psicothema, 18(suppl), 34-41 (2006).

Downloads

Published

20-12-2023

How to Cite

1.
Shukla A, Algnihotri A, Singh B. Analyzing How AI And Emotional Intelligence Affect Indian IT Professional’s Decision-Making. EAI Endorsed Trans Perv Health Tech [Internet]. 2023 Dec. 20 [cited 2024 Nov. 23];9. Available from: https://publications.eai.eu/index.php/phat/article/view/4654