The Mediating and Moderating Effects of Knowledge Management in the Relationship between Technological Leadership Behaviors of School Principals and Data-Driven Decision-Making

M. Çevik, Emine Doğan
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Abstract

The objective of this study is to contribute to the increasing database regarding the effects of school leadership on teachers’ data usage by investigating the relationship between the technological leadership behaviors of school principals and data-driven decision-making at their schools based on the mediating and moderating effects of the knowledge management variable. 408 teachers from 14 provinces of Turkey in the 2020-2021 academic year were included in the study. The School Principal Technological Leadership Competency Scale, the Knowledge Management Scale, and the Data-Driven Decision-Making in Schools Scale were used as data collection tools in this cross-sectional quantitative study. Descriptive statistics, correlation, and structural equation modeling (SEM) were used in data analysis. The study results demonstrate the school principals' practices of technological leadership, knowledge management at schools, and data-driven decision-making to be high. It has been found out in the study that knowledge management implementations play a mediating role in data-driven decision-making at schools by increasing the technological leadership competency levels of school principals, while not having a moderating effect on the relationship between technological leadership and data-driven decision-making. In addition, technological leadership and knowledge management have been identified to be significant and positive predictors of data-driven decision-making. Based on the study results, suggestions have been made to improve the technological leadership behaviors and knowledge management implementations of school principals at schools.
知识管理在校长技术领导行为与数据驱动决策关系中的中介和调节作用
本研究的目的是通过调查校长的技术领导行为与基于知识管理变量的中介和调节作用的学校数据驱动决策之间的关系,为增加关于学校领导对教师数据使用的影响的数据库做出贡献。2020-2021学年,来自土耳其14个省的408名教师参与了这项研究。采用学校校长技术领导能力量表、知识管理量表和学校数据驱动决策量表作为横断面定量研究的数据收集工具。在数据分析中使用了描述性统计、相关性和结构方程建模(SEM)。研究结果表明,校长在技术领导力、学校知识管理和数据驱动决策方面的实践水平很高。研究发现,知识管理的实施通过提高校长的技术领导能力水平,在学校的数据驱动决策中发挥了中介作用,而对技术领导和数据驱动决策之间的关系没有调节作用。此外,技术领导力和知识管理已被确定为数据驱动决策的重要和积极预测因素。基于研究结果,提出了改进学校校长技术领导行为和知识管理实施的建议。
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