The impact of structure of training on non-supervisory employees' intention to remain in the organisation - perceptions of supervisory and non-supervisory employees of Dubai's accommodation sector
by Kauser Samiul Huq
International Journal of Knowledge Management in Tourism and Hospitality (IJKMTH), Vol. 2, No. 3, 2020

Abstract: Employee turnover has huge repercussions for organisations that attempt to reduce costs. The focus of this study was to examine the impact that structured training has on employees' intention to remain. Does training impact employees' intention to remain with the organisation that provided it? How do we measure training to justify that it impacts intention to remain? How do training typologies impact intention to remain? Data was taken from supervisory employees about their perception of non-supervisory employees' opinions and from non-supervisory employees from a self-reported perspective. SPSS was used to interpret the data. Results divulged that structured training, highly structured training, certification of training programs and training outcomes that focused on employee commitment impacted employees' intention to remain. Regression analysis from supervisory employees indicated that both structured and highly structured training significantly influence intention to remain. Regression analysis from supervisory and non-supervisory employee samples indicated a model fit for training typologies: certification of training and training outcomes.

Online publication date: Thu, 15-Apr-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge Management in Tourism and Hospitality (IJKMTH):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email