Ruihan Liu1, Jinlin Liu1, Chuhang Jiao2, Zhe He3, Jiaxin Liu4
1School of Foreign Studies, Central University of Finance and Economics, Beijing, 102206, China
2School of Sport Economics and Management, Central University of Finance and Economics, Beijing, 102206, China
3School of Culture and Communication, Central University of Finance and Economics, Beijing, 102206, China
4Business School, Central University of Finance and Economics, Beijing, 102206, China
Classic works of literature have created many unique figures of female leaders. These works provide excellent material to support this research on the perception of female leadership in their time period. In order to investigate the performance of female leadership in Chinese literature, this paper designs a model for assessing the strength of female leadership in literary figures based on a corpus and Nvivo qualitative research method and integrates it with the analysis of the literary context to form a paradigm for assessing the strength of female leadership in literary figures. At the same time, this research applies and validates this assessment paradigm by selecting female leaders from three different Chinese literary works of different periods. The significance of this research lies in the design of an interdisciplinary model for assessing the strength of female leadership based on leadership theory and realizes qualitative analysis of the strength of female leadership in literary figures. This research also gives three prospects, hoping that future research will be based on a social gender perspective, that more attention will be paid to the role of literature in historical leadership studies, and that a method for assessing the strength of female leadership in literary figures in an international context will be devised.
Literary Image, Female Leadership, Corpus, Qualitative Study
Ruihan Liu, Jinlin Liu, Chuhang Jiao, Zhe He, Jiaxin Liu. Design and Application of a Methodology for Assessing the Strength of Female Leadership in Chinese Literary Works. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 4: 103-110. https://doi.org/10.25236/FSST.2023.050417.
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