Login / Signup

An Analysis of Multigenerational Issues of Generation X and Y Employees in Small- and Medium-Sized Enterprises in Thailand: The Moderation Effect of Age Groups on Person-Environment Fit and Turnover Intention.

Kanokon RattanaponAnn JorissenKevin Paul JonesChavis Ketkaew
Published in: Behavioral sciences (Basel, Switzerland) (2023)
Multigenerational employees can evidently impact human resource management practices in terms of effective employee retention. Arguably, a high turnover intention of young employees can hinder a company's human resource development, while a high volume of retirement of senior employees can create a skill deficit and even a labor management dilemma. This study explored how a supportive work environment can retain employees of different age groups in Thailand's small- and medium-sized enterprises (SMEs), particularly Generation X and Y. It modeled a supportive work environment that impacts the behaviors of Generation X and Y employees, taking into consideration the relationship among factors such as person-job fit, person-group fit, person-supervisor fit, person-organization fit, person-environment fit, and turnover intention. This paper statistically analyzed a set of data drawn from an attentive survey of a total of 400 employees of SMEs in 4 populous provinces in Thailand using structural equation modeling (SEM) and multigroup analysis (MGA) with the moderation effect of generations. This paper then found that person-job fit, person-group fit, person-supervisor fit, person-organization fit, person-environment fit, and turnover intention can influence an employee's intention to remain in his/her job. Additionally, the relationship manipulation among the aforementioned variables might influence Generation X and Y employees differently. Under the circumstances, supervisory support with less group involvement may encourage the retention of Generation Y employees, whereas a sufficient focus on job suitability could improve the retention of Generation X employees.
Keyphrases
  • endothelial cells
  • bone mineral density
  • healthcare
  • social support
  • body composition
  • cross sectional
  • deep learning
  • postmenopausal women