A Hierarchical Latent Variable Model of Leadership Styles using PLS-SEM | Zendy

Azlin Shafinaz Arshad | Zendy; Goh Chin Fei | Zendy; Amran Rasli | Zendy

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A Hierarchical Latent Variable Model of Leadership Styles using PLS-SEM

Author(s) -

Azlin Shafinaz Arshad,

Goh Chin Fei,

Amran Rasli

Publication year - 2014

Publication title -

jurnal teknologi

Language(s) - English

Resource type - Journals

eISSN - 2180-3722

pISSN - 0127-9696

DOI - 10.11113/jt.v69.3245

Subject(s) - transformational leadership , transactional leadership , leadership style , multilevel model , structural equation modeling , latent variable , component (thermodynamics) , hierarchical database model , formative assessment , psychology , shared leadership , computer science , knowledge management , social psychology , artificial intelligence , data mining , machine learning , mathematics education , physics , thermodynamics

The aim of this article is to propose second order hierarchical component models to analyze the two leadership styles (transformational leadership and transactional leadership) for technology-based SMEs. We adopted the two-stage approaches in partial least square-structural equation modelling to examine the appropriateness of hierarchical modelling for both leadership styles. The findings indicate that the conceptual properties of transformational leadership and transactional leadership are matched with reflective-formative type of second order hierarchical component models. In addition, the study offers an alternative avenue to those researchers who are intending to introduce hierarchical component models in modelling leadership styles.

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