A Measurement Model of Leadership Communication of Coastal Village Leaders in Terengganu, Malaysia

Mohd Yusri Ibrahim, Che Hasniza Che Noh and Mohammad Mahdi Abas

International Journal of Academic Research in Business and Social Sciences, 2017, vol. 7, issue 7, 781-789

Abstract: Leadership communication skill was identified as a significant predictor for an effective organisation. Despite that, lot of leaders especially in village organisation was not getting clear picture for needed skills to practice their roles. This study was conducted to identify the skills that relating to significant leadership communication practices. This cross-sectional survey by questionnaires was applied in state of Terengganu Malaysia, involved 300 members of coastal village organization as research respondents. The data that was analysed by structural equation modelling (SEM) found 27 indicators and three construct can be apply to measure the variable. Finally, a measurement model of leadership communication among the coastal village leaders was succeed developed, and suitable to practice in order to improve the performance of leadership skills in village organisation.

Keywords: Leadership communication; organizational communication; organizational leadership (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hrmars.com/hrmars_papers/A_Measurement_Mode ... engganu_Malaysia.pdf (application/pdf)
http://hrmars.com/hrmars_papers/A_Measurement_Mode ... engganu_Malaysia.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hur:ijarbs:v:7:y:2017:i:7:p:781-789

Access Statistics for this article

More articles in International Journal of Academic Research in Business and Social Sciences from Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences
Bibliographic data for series maintained by Hassan Danial Aslam ().