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A Study on the Impact of Leader-Member Exchange on the Perception of Burden Reduction at the Grassroots Level among Township Staff in the Context of Generative Artificial Intelligence

By: Dehan Wang 1, Chengjingyu Chen 2
1China Agricultural University, Beijing, 100000, China
2Shandong University of Technology, Zibo, Shandong, 255000, China

Abstract

For many years, staff members of township governments in China have been facing an excessive workload. The leader-member exchange (LMX) relationship is considered an important factor that may promote burden reduction at the grassroots level. This study developed a scale to measure the perceived burden reduction at the grassroots level through a survey and data analysis of 443 township government staff members in China. Based on social exchange theory and self-determination theory, the research results show that: (1) The perceived burden reduction at the grassroots level consists of two dimensions: perception of workload reduction and perception of motivational care; (2) There is a significant positive correlation between the leader-member exchange relationship and the perceived burden reduction at the grassroots level among township government staff; (3) There is a significant positive correlation between the leader-member exchange relationship and the public service motivation of township government staff, and between public service motivation and the perceived burden reduction at the grassroots level. Public service motivation plays a partial mediating role between the leader-member exchange relationship and the perceived burden reduction at the grassroots level among township government staff; (4) The application of generative artificial intelligence plays a moderating role in the relationship between the leader-member exchange relationship and the public service motivation of township government staff.