preview

Reason for High Turnover Rate of Hospitality Industry in China

Better Essays

Reason for High Turnover Rate of Hospitality Industry in China

Abstract
The hospitality industry in China is gradually developing and being matured increasingly. It is the rapid increase in the number of hotels resulted in growing demand for qualified employees. However, China’s hotels are facing serious human resources challenge including shortage of qualified staff, high-staff turnover, and the unwillingness of university graduates to enter the industry. Specially, the high turnover rate of the hotel is playing a huge role to obstruct the hotel’s growing. The reason of high turnover rate in the hospitality industry will be researched and both qualitative and quantitative data sets will be created. Personal interviews, extended …show more content…

Organizational goals, mission and direction
Experimental evidence suggests that the establishment of well defined organizational goals and objectives influence employee turnover and job productivity. Kim et al. (2005) in their study on firm’s orientation found that organizational direction and support had a significant impact on employee job satisfaction and overall commitment. Findings from Susskind et al.’s (2000) research also suggest that perceived organizational support strongly influences job satisfaction and employees’ commitment to their organizations.
A study by the US Department of Labor (1993) on high performance work practices showed that involving employees in decision-making, goals and the direction of an organization through participation in teams will help reduce turnover and produce job satisfaction.

Corporate culture and communication
According to Becker and Huselid (1999), culture creates competitiveness since it changes employee behavior by making them act consistently with the firm’s desired corporate culture, thus influencing employee retention. Other researchers who investigated the relationship between organizational culture and employee turnover and retention uncovered similar findings (Chew et al., 2005; Cho et al., 2006; Milman, 2003; Milman and Ricci, 2004). For example, a study by Milman and Ricci (2004) also revealed that among the most powerful indicators to predict

Get Access