Susan Gordon, Chun-Hung (Hugo) Tang, Jonathon Day and Howard Adler
This paper aims to examine whether employee subjective well-being acts as a mediator in the relationship between perceived supervisor support and turnover intention within the…
Abstract
Purpose
This paper aims to examine whether employee subjective well-being acts as a mediator in the relationship between perceived supervisor support and turnover intention within the context of select-service hotels.
Design/methodology/approach
The sample included hourly employees in select-service hotels in the Midwest USA. The significance of the relationships was assessed using regression, and both the Sobel test and bootstrapping methods were performed to test the mediating effect of subjective well-being on the relationship between perceived supervisor support and turnover intention.
Findings
The results confirm subjective well-being acted as a partial mediator in the relationship between supervisor support and turnover intention. Employees who perceive higher levels of support from their supervisors are less likely to leave their organizations. At the same time, supervisor support also positively affects subjective well-being, which reduces turnover intention.
Practical implications
Actions by supervisors’ impact the well-being of their employees, which in turn may influence whether an employee stays with the organization. Organizations could use management training and employee feedback on supervisor support to improve employee support mechanisms. Organizations should also pay attention to improving employee subjective well-being beyond the work place. Improving the well-being of employees and supporting employees can help reduce turnover and may increase employee satisfaction, guest satisfaction and profits.
Originality/value
This study is the first to show that subjective well-being mediates the relationship between supervisor support and turnover intention; and one of the few within the hospitality context to examine the constructs of subjective well-being, supervisor support and turnover together.
Details
Keywords
Li Ge, Chun-Hung (Hugo) Tang, Carl Behnke and Richard Ghiselli
This study (1) assessed restaurant consumers' perceived importance of better food quality versus larger portion sizes, (2) classified restaurant consumers into different segments…
Abstract
Purpose
This study (1) assessed restaurant consumers' perceived importance of better food quality versus larger portion sizes, (2) classified restaurant consumers into different segments based on their perceived importance of seven food quality attributes (taste, texture, aroma, appearance and the use of natural, local and organic ingredients) relative to portion size and (3) compared the identified market segments.
Design/methodology/approach
An online survey assessed 613 USA adult participants' perceived importance of seven food quality attributes relative to portion size. A K-means cluster analysis classified participants into different segments based on their perceptions.
Findings
Five restaurant consumer segments were identified: sensory-oriented consumers, taste-oriented organic food consumers, local and natural food consumers, quantity-oriented consumers and quality-oriented consumers. In general, quality-oriented consumers were the least likely to visit fast-food restaurants, had the highest average per-meal spending and were the least likely to eat out alone. Local and natural food consumers and taste-oriented organic food consumers had higher total restaurant spending than other groups. Quantity-oriented and sensory-oriented consumers visited fast-food restaurants more often and had lower total restaurant spending and per-meal spending than other groups. Age, sex and income were significantly associated with the segmentation outcomes.
Practical implications
Findings suggest promising opportunities for restaurants to enhance consumer perceptions of value by prioritizing the factors that hold the greatest significance to their target customers.
Originality/value
This study is the first attempt to segment restaurant consumers based on their perceived importance of food quality attributes relative to portion size, effectively identifying five distinct consumer segments.