摘要
为分析不同领导风格的煤矿高层管理者在安全领导力上的差异性,用SPSS24.0软件对安全领导力及领导风格量表进行信效度分析、相关性分析,用多元回归分析方法研究煤矿高层管理者安全领导力与领导风格的关系。结果表明:变革型领导风格的感召力、智力激发、个性化关怀显著正向预测安全素养和安全指导领导力;魅力领导、个性化关怀显著正向预测安全关照领导力;魅力领导、智力激发显著正向预测安全动机领导力;魅力领导显著正向预测安全控制领导力;交易型领导风格的权变奖励、例外管理显著正向预测安全动机和安全控制领导力。
The objective of the paper is to analyze the differences in safety leadership among coal mine senior managers of different leadership styles.Based on the questionnaire response of 221 miners from 6 coal mines,a raliability analysis and a validity analysis and a correlation analysis were made for the safety leadership scale and the leadership style scale by using SPSS24.0 software.The relationship between coal mine senior managers’safety leadership and leadership style was studied by using the multiple regression analysis method.Results show that senior managers’safety leadership correlates significantly with different dimensions of leading style,that the charisma,intellectual stimulation and individualized consideration of the transformational leadership style predict remarkably and positively safety accomplishment and safety guidance,that charismatic leadership and individualized consideration of the transformational leadership style predict remarkably and positively safety caring,that charismatic leadership and intellectual stimulation of the transformational leadership style predict remarkably and positively safety motivation,that charismatic leadership of the transformational leadership style predict remarkably and positively safety motivation safety controlling,and that the contingency reward and active exemplary management of the transactional leadership style predict remarkably and positively safety motivation and safety controlling.
作者
李广利
刘爱群
董子文
LI Guangli;LIU Aiqun;DONG Ziwen(School of Safety and Environment Engineering,Hunan Institute of Technology,Hengyang Hunan 421002,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2019年第1期155-160,共6页
China Safety Science Journal
基金
国家自然科学基金青年基金资助(51804107)
湖南工学院引进人才支持计划(HQ17015)
关键词
煤矿
高层管理者
安全领导力
领导风格
多元回归分析
coal mine
senior managers
safety leadership
leadership style
multiple regression analysis