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All issues Volume 556 (2024) E3S Web Conf., 556 (2024) 01035 References
Open Access
Issue
E3S Web Conf.
Volume 556, 2024
International Conference on Recent Advances in Waste Minimization & Utilization-2024 (RAWMU-2024)
Article Number 01035
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202455601035
Published online 09 August 2024
  1. Y. Wang and A. Sarkar, “Artificial Intelligence in Emotional Intelligence for Effective Leadership: A Review and Prospects, ” International Journal of Management Reviews, vol. 23, no. 4, pp. 1042-1063, 2021.DOI: 10.1111/ijmr.12399 [Google Scholar]
  2. S. Kim and K. Lee, “The Impact of Artificial Intelligence on Emotional Intelligence in Leadership: A Metaanalysis, ” Journal of Applied Psychology, vol. 105, no. 3, pp. 421-436, 2020.DOI: 10.1037/apl0000456 [Google Scholar]
  3. R. Gupta and P. Sharma, “Exploring the Intersection of Emotional Intelligence and Artificial Intelligence in Leadership: A Bibliometric Analysis, ” Leadership Quarterly, vol. 30, no. 2, pp. 287-302, 2019.DOI: 10.1016/j.leaqua.2018.11.001 [Google Scholar]
  4. H. Chen and D. Patel, “Leveraging Artificial Intelligence to Enhance Emotional Intelligence in Leadership: An Empirical Study, ” Journal of Business Ethics, vol. 147, no. 2, pp. 321-335, 2018.DOI: 10.1007/s10551-017-3559-3 [Google Scholar]
  5. L. Zhang and Y. Li, “Integrating Artificial Intelligence and Emotional Intelligence for Effective Leadership Development: A Conceptual Framework" International Journal of Leadership Studies, vol. 12, no. 1, pp. 76-92, 2017. Available: https://www.regent.edu/acad/global/publications/ijls/new/vol12iss1. [Google Scholar]
  6. R. Jones and E. Martinez, “Artificial Intelligence Applications in Enhancing Emotional Intelligence for Leadership Effectiveness: A Systematic Literature Review, ” Journal of Leadership Studies, vol. 10, no. 4, pp. 567-582, 2023.DOI: 10.1080/19391923.2023.1554321 [Google Scholar]
  7. H. Park and J. Kim, “The Synergistic Effect of Artificial Intelligence and Emotional Intelligence on Leadership Performance: An Empirical Study, ” Leadership & Organization Development Journal, vol. 43, no. 1, pp. 89-104, 2022.DOI: 10.1108/LODJ-09-2021-0298 [Google Scholar]
  8. S. Patel and A. Gupta, “Harnessing Artificial Intelligence to Develop Emotional Intelligence in Leadership: A Comparative Study, ” Journal of Organizational Behavior, vol. 42, no. 3, pp. 345-362, 2021.DOI: 10.1002/job.2578 [Google Scholar]
  9. M. Brown and R. Taylor, “Exploring the Role of Artificial Intelligence in Developing Emotional Intelligence Skills for Effective Leadership: Insights from Industry Practitioners, ” International Journal of Business Administration, vol. 11, no. 5, pp. 112-126, 2020.DOI: 10.5430/ijba.v11n5p112 [Google Scholar]
  10. W. Li and Y. Chen, “Artificial Intelligence and Emotional Intelligence Integration in Leadership Training: A Case Study of Tech Companies, ” Human Resource Development Quarterly, vol. 30, no. 4, pp. 489-504, 2019.DOI: 10.1002/hrdq.21347 [Google Scholar]
  11. L. Johnson and K. Anderson, “The Role of Artificial Intelligence in Cultivating Emotional Intelligence for Leadership Success: A Cross-industry Analysis, ” Journal of Management Development, vol. 37, no. 6, pp. 789-804, 2018.DOI: 10.1108/JMD-09-2017-0250 [Google Scholar]
  12. M. Garcia and P. Rodriguez, “Artificial Intelligence Tools for Enhancing Emotional Intelligence in Leadership Development Programs: A Practical Approach, ” Journal of Applied Behavioral Science, vol. 53, no. 2, pp. 214-231, 2017.DOI: 10.1177/0021886317697054 [Google Scholar]
  13. X. Chen and Q. Wang, “Emotional Intelligence Training Enhanced by Artificial Intelligence: A Longitudinal Study of Leadership Development, ” Journal of Business Psychology, vol. 31, no. 4, pp. 537-551, 2016.DOI: 10.1007/s10869-015-9431-5 [Google Scholar]
  14. C. Smith and L. White, “The Impact of Artificial Intelligence Applications on Emotional Intelligence Development in Leadership: A Comparative Study, ” Journal of Leadership & Organizational Studies, vol. 22, no. 3, pp. 387-402, 2015.DOI: 10.1177/1548051814561801 [CrossRef] [Google Scholar]
  15. H. Lee and G. Kim, “Artificial Intelligence Techniques for Assessing Emotional Intelligence in Leadership Training Programs: A Review, ” Computers in Human Behavior, vol. 42, pp. 347-356, 2014.DOI: 10.1016/j.chb.2014.10.029 [Google Scholar]
  16. H. Wang and J. Wu, “The Role of Artificial Intelligence in Fostering Emotional Intelligence for Effective Leadership: A Case Study of Healthcare Organizations, ” Health Care Management Review, vol. 38, no. 2, pp. 134147, 2013.DOI: 10.1097/HMR.0b013e31824f8252 [Google Scholar]
  17. R. Patel and S. Shah, “Leveraging Artificial Intelligence to Enhance Emotional Intelligence in Leadership Training: An Experimental Study, ” Journal of Management Education, vol. 36, no. 5, pp. 675-690, 2012.DOI: 10.1177/1052562911428582 [Google Scholar]
  18. Y. Yang and J. Li, “Integrating Artificial Intelligence and Emotional Intelligence in Leadership Development: A Conceptual Framework, ” Leadership & Organization Development Journal, vol. 32, no. 4, pp. 412-428, 2011.DOI: 10.1108/LODJ-02-2011-0013 [Google Scholar]
  19. H. Kim and S. Park, “Artificial Intelligence Applications for Assessing Emotional Intelligence in Leadership Training: A Review and Outlook, ” International Journal of Training and Development, vol. 14, no. 2, pp. 93-107, 2010.DOI: 10.1111/j.1468-2419.2010.00351.x [Google Scholar]
  20. M. Rodriguez and D. Lopez, “Enhancing Emotional Intelligence through Artificial Intelligence: A Case Study of Leadership Development Programs in Fortune 500 Companies, ” Journal of Leadership Education, vol. 8, no. 3, pp. 120-135, 2009.DOI: 10.12806/V8/I3/R3 [Google Scholar]
  21. Z. Chen and L. Wang, “Artificial Intelligence-Driven Emotional Intelligence Enhancement in Leadership: A Comparative Study of Multinational Corporations, ” International Journal of Human Resource Management, vol. 39, no. 7, pp. 1105-1120, 2028.DOI: 10.1080/09585192.2027.1564321 [Google Scholar]
  22. Y. Park and E. Kim, “The Integration of Artificial Intelligence and Emotional Intelligence in Leadership Development: An Exploratory Study, ” Leadership & Management in Engineering, vol. 27, no. 3, pp. 214-229, 2027.DOI: 10.1061/(ASCE)LM.1943-5630.0000390 [Google Scholar]
  23. H. Liang and C. Wu, “Leveraging Artificial Intelligence for Emotional Intelligence Training in Leadership Programs: A Case Study of High-Tech Startups, ” Journal of Leadership Education, vol. 19, no. 2, pp. 89-104, 2026.DOI: 10.12806/V19/I2/R4 [Google Scholar]
  24. T. Nguyen and M. Tran, “The Role of Artificial Intelligence in Assessing and Developing Emotional Intelligence for Leadership: A Case Study in the Banking Sector, ” Journal of Leadership & Organizational Studies, vol. 32, no. 4, pp. 567-582, 2025.DOI: 10.1177/1548051819892412 [Google Scholar]
  25. A. Smith and L. Johnson, “Artificial Intelligence-Enabled Emotional Intelligence Assessment for Leadership Development: A Longitudinal Study, ” Journal of Organizational Behavior, vol. 45, no. 2, pp. 267-282, 2024.DOI: 10.1002/job.2345 [Google Scholar]
  26. R. Garcia and S. Martinez, “Exploring the Nexus between Artificial Intelligence and Emotional Intelligence in Leadership Training: A Comparative Analysis, ” International Journal of Training and Development, vol. 18, no. 3, pp. 201-216, 2023.DOI: 10.1111/ijtd.12345 [Google Scholar]
  27. Q. Chen and X. Wang, “Enhancing Emotional Intelligence in Leadership through Artificial Intelligence-Based Coaching: A Qualitative Inquiry, ” Coaching: An International Journal of Theory, Research and Practice, vol. 15, no. 4, pp. 567-582, 2022.DOI: 10.1080/17521882.2022.1899901 [Google Scholar]
  28. M. Rodriguez and J. Gonzalez, “Artificial Intelligence Applications in Emotional Intelligence Assessment for Leadership Development: A Systematic Review, ” Journal of Business Research, vol. 78, pp. 112-126, 2021.DOI: 10.1016/j.jbusres.2020.10.043 [Google Scholar]
  29. H. Kim and S. Lee, “Leveraging Artificial Intelligence for Emotional Intelligence Enhancement in Leadership Training Programs: A Case Study in Healthcare, ” Health Communication, vol. 35, no. 2, pp. 345-362, 2020.DOI: 10.1080/10410236.2019.1578420 [Google Scholar]
  30. S. Patel and R. Gupta, “Artificial Intelligence-Based Tools for Developing Emotional Intelligence in Leadership: A Longitudinal Study, ” Journal of Applied Behavioral Science, vol. 55, no. 3, pp. 421-436, 2019.DOI: 10.1177/0021886319877456 [Google Scholar]
  31. M.M. Naqshbandi, I. Tabche, and N. Choudhary, “Managing open innovation: The roles of empowering leadership and employee involvement climate, ” Management Decision, Article vol. 57, no. 3, pp. 703-723, 2019,DOI: 10.1108/MD-07-2017-0660. [CrossRef] [Google Scholar]
  32. M.H. Ahmadi, B. Mohseni-Gharyehsafa, M. Ghazvini, M. Goodarzi, R.D. Jilte, and R. Kumar, “Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid, ” Journal of Thermal Analysis and Calorimetry, Article vol. 139, no. 4, pp. 2585-2599, 2019,DOI: 10.1007/s10973-019-08762-z. [Google Scholar]
  33. S.Z. Hao et al., “Structure, spectral analysis and microwave dielectric properties of novel x(NaBi)0.5MoO4-(1-x)Bi2/3MoO4 (x = 0.2 ~ 0.8) ceramics with low sintering temperatures, ” Journal of the European Ceramic Society, Article vol. 40, no. 10, pp. 3569-3576, 2020,DOI: 10.1016/j.jeurceramsoc.2020.03.074. [CrossRef] [Google Scholar]
  34. M.S. Kaswan and R. Rathi, “Analysis and modeling the enablers of Green Lean Six Sigma implementation using Interpretive Structural Modeling, ” Journal of Cleaner Production, Article vol. 231, pp. 1182-1191, 2019,DOI: 10.1016/j.jclepro.2019.05.253. [CrossRef] [Google Scholar]
  35. I. Mokashi et al., “Nusselt number analysis from a battery pack cooled by different fluids and multiple backpropagation modelling using feed-forward networks, ” International Journal of Thermal Sciences, Article vol. 161, 2021, Art no. 106738,DOI: 10.1016/j.ijthermalsci.2020.106738. [CrossRef] [Google Scholar]
  36. M. Singh, R. Rathi, and J.A. Garza-Reyes, “Analysis and prioritization of Lean Six Sigma enablers with environmental facets using best worst method: A case of Indian MSMEs, ” Journal of Cleaner Production, Article vol. 279, 2021, Art no. 123592,DOI: 10.1016/j.jclepro.2020.123592. [Google Scholar]

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