Leadership and quality management measurement models: an empirical study

Abstract

Purpose

The purpose of this paper is to explore, confirm and verify leadership with regards to quality management measurement models. This research focused on identifying individual staff members’ leadership attributes at the Thai National Institute of Health in relation to quality management.

Design/methodology/approach

The research instrument used in this study was a modified questionnaire on self-leadership and quality management that was distributed to the institute’s staff. Leadership and quality management construct variables were observed and measured through staff perceptions, attitudes, practices and existing facts at the institute. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to examine the data.

Findings

The questionnaire had a 65 percent response rate. EFA revealed six factors from 27 questionnaire items and CFA was used to confirm the measurement models that were fitted to the data. The leadership attributes of staff members at the institute were statistically associated to and impacted on quality management by SEM analysis.

Research limitations/implications

In-depth understanding of leadership and quality management could be done through a longitudinal study because the two factors would change over time. Even though this model is not a longitudinal study, it could help the institute facilitate and manage quality in practice through leadership.

Originality/value

A cross-sectional study is used to examine the effect of leadership on quality management through factor analysis and SEM, which provided empirical evidence for future research. Leadership and quality management measurement models have statistically proven to be appropriately, technically and theoretically correct by design for observing variables used in the leadership measurement model that affects quality management.

Citation

Chansatitporn, N. and Pobkeeree, V. (2020), "Leadership and quality management measurement models: an empirical study", International Journal of Health Care Quality Assurance, Vol. 33 No. 1, pp. 52-66. https://doi.org/10.1108/IJHCQA-07-2019-0118