Accesso libero

A Comparative Bibliometric Analysis of Emotional Intelligence in Leadership Performance

  
24 lug 2025
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007Search in Google Scholar

Aria, M., & Cuccurullo, C. (n.d.). Biblioshiny: A web-interface for bibliometrix. Bibliometrix. Retrieved 11th February 2025 from https://bibliometrix.org/biblioshiny/biblioshiny1.htmlSearch in Google Scholar

Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993–1022. https://doi.org/10.1162/153244303322951124Search in Google Scholar

Bass, B. M. (1985). Leadership and performance beyond expectations. Free Press.Search in Google Scholar

Bass, B. M., & Avolio, B. J. (1994). Improving organizational effectiveness through transformational leadership. Sage Publications.Search in Google Scholar

Barbuto, J. E., & Wheeler, D. W. (2006). Scale development and construct clarification of servant leadership. Group & Organization Management, 31(3), 300–326. https://doi.org/10.1177/1059601106287091Search in Google Scholar

Bratianu, C., & Paiuc, D. (2023). Emotional and cultural intelligences: A comparative analysis between the United States of America and Romania. Management & Marketing, 18(2), 91-112. https://doi.org/10.2478/mmcks-2023-0006Search in Google Scholar

Centre for Science and Technology Studies (CWTS). (2025). VOSviewer. Leiden University. Retrieved 11th February 2025 from https://www.vosviewer.com/Search in Google Scholar

CharityGPT. (2025). Scholar GPT. CharityGPT. Retrieved 11th February 2025 from https://www.charitygpt.io/gpts/scholar-gptSearch in Google Scholar

Chen, C. (2017). Science mapping: A systematic review of the literature. Journal of Data and Information Science, 2(2), 1–40. https://doi.org/10.1515/jdis-2017-0006Search in Google Scholar

Cole, S., & Cole, J. R. (1967). Scientific output and recognition: A study in the operation of the reward system in science. American Sociological Review, 32(3), 377–390. https://doi.org/10.2307/2091085Search in Google Scholar

Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122(3159), 108–111. https://doi.org/10.1126/science.122.3159.108Search in Google Scholar

Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471–479. https://doi.org/10.1126/science.178.4060.471Search in Google Scholar

Gorraiz, J., Melero-Fuentes, D., Gumpenberger, C., & Valderrama-Zurián, J.-C. (2016). Availability of digital object identifiers (DOIs) in Web of Science and Scopus. Journal of Informetrics, 10(1), 98–109. https://doi.org/10.1016/j.joi.2015.11.008Search in Google Scholar

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

Goleman, D., Boyatzis, R., & McKee, A. (2013). Primal leadership: Unleashing the power of emotional intelligence. Harvard Business Review Press.Search in Google Scholar

Greenleaf, R. K. (1977). Servant Leadership: A Journey into the Nature of Legitimate Power and Greatness. Paulist Press.Search in Google Scholar

Li, M., & Bitterly, T. B. (2024). How perceived lack of benevolence harms trust of artificial intelligence management. Journal of Applied Psychology, 109(11), 1794–1816. https://doi.org/10.1037/apl0001200Search in Google Scholar

Liden, R. C., Wayne, S. J., Zhao, H., & Henderson, D. (2008). Servant leadership: Development of a multidimensional measure and multi-level assessment. The Leadership Quarterly, 19(2), 161–177. https://doi.org/10.1016/j.leaqua.2008.01.006Search in Google Scholar

Merton, R. K. (1968). The Matthew Effect in science. Science, 159(3810), 56–63. https://doi.org/10.1126/science.159.3810.56Search in Google Scholar

Østergaard, N. (2008). Research assessment: A bibliometric perspective. Research Evaluation, 17(3), 213–220. https://doi.org/10.3152/095820208X344232Search in Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71Search in Google Scholar

Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2010). Altmetrics: A manifesto. Retrieved 11th February 2025 from http://altmetrics.org/manifesto/Search in Google Scholar

Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. https://doi.org/10.1108/eb026482Search in Google Scholar

Rehan, A., Thorpe, D., & Heravi, A. (2024). Project manager’s leadership behavioral practices: A systematic literature review. Asia Pacific Management Review, 29(2), 165-178. https://doi.org/10.1016/j.apmrv.2023.12.005.Search in Google Scholar

Rossiter, M. W. (1993). The Matthew Matilda Effect in science. Social Studies of Science, 23(2), 325–341. https://doi.org/10.1177/030631293023002004Search in Google Scholar

Sharma, S., & Tiwari, V. (2022). Emotional intelligence in the field of business and management: A bibliometric analysis of the last two decades. Vision: The Journal of Business Perspective. https://doi.org/10.1177/09722629221132122Search in Google Scholar

Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. Retrieved 11th February 2025 from https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.4630240406Search in Google Scholar

Small, H. (1977). A co-citation model of a scientific specialty: A longitudinal study of collagen research. Social Studies of Science, 7(2), 139–166. Retrieved 16th February 2025 from https://journals.sagepub.com/doi/10.1177/030631277700700202Search in Google Scholar

Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799–813. https://doi.org/10.1002/(SICI)1097-4571(1999)50:9<799::AID-ASI9>3.0.CO;2-GSearch in Google Scholar

Waltman, L., & Van Eck, N. J. (2010). The source of the paper’s citations and the future of bibliometrics. Scientometrics, 84(2), 227–235. https://doi.org/10.1007/s11192-010-0225-5Search in Google Scholar

Waltman, L., & Van Eck, N. J. (2012). A new methodology for constructing a publication-based citation network. Journal of the American Society for Information Science and Technology, 63(3), 515–529. https://doi.org/10.1002/asi.21648Search in Google Scholar

Wang, Y., Li, Z., & Yang, L. (2023). Leveraging machine learning for enhanced research evaluation: New trends in bibliometrics. Journal of the Association for Information Science and Technology, 74(1), 55–70. https://doi.org/10.1002/asi.25000Search in Google Scholar

Wong, C. S., & Law, K. S. (2002). The effects of leader and follower emotional intelligence on performance and attitude: An exploratory study. The Leadership Quarterly, 13(3), 243–274. https://doi.org/10.1016/S1048-9843(02)00099-1Search in Google Scholar

Zhou, L., Jambulingam, M., & Ling, G. J. (2024). A bibliometric analysis of emotional intelligence and leadership. International Journal of Business and Social Science, 45(1), 96-112. https://doi.org/10.33736/ijbs.7613.2024Search in Google Scholar