The Impact of Career Motivation and Polychronicity on Job Satisfaction and Turnover Intention among Hotel Industry Employees

Employee turnover has been one of the most serious issues facing the hotel industry for many years. Both researchers and practitioners have devoted considerable time and effort to better understand and indentify ways to decrease employee turnover. The purpose of this study was to examine the impact of individual differences focusing on career motivation and polychronicity on job satisfaction and its influence on employee turnover intention in the hotel industry. This study surveyed 609 non-supervisory employees working at two Dallas hotels. Respondents provided information regarding career motivations, polychronicity, job satisfaction, and turnover intention. Career motivations were significantly related to employee job satisfaction which impacted employee turnover intention. This finding can be useful to hotel companies and their managers when attempting to understand employee motivation

Are employees with higher organization-based self-esteem less likely to quit? A moderated mediation model

Citation: Lin, N., Jang, J., & Roberts, K. R. (2018). Are employees with higher organization-based self-esteem less likely to quit? A moderated mediation model. International Journal of Hospitality Management, 73, 116–124. https://doi.org/10.1016/j.ijhm.2018.01.021This study focuses on striving for achievement as an important antecedent forming Organization-Based Self-Esteem (OBSE) and the relationship between achievement striving and turnover intention in the hospitality industry. More specifically, employees with higher achievement striving traits show a stronger negative correlation between OBSE and turnover intention, through organizational commitment. An online survey was distributed to restaurant employees; 160 valid responses were analyzed. An analytic framework based on confirmatory factor analysis and logic regression was used to examine the hypotheses. The results show that organizational commitment fully mediated the relationship between OBSE and turnover intention, and higher levels of individual achievement striving significantly modified the conditional indirect relationship. The results showed that the mediation model and achievement striving strength accounted for 15.7% of the variance in turnover intention at the 50?th, 75?th, and 90?th level and was most effective for low OBSE employees. Theoretical implications and future research are included

Development of Field Pollutant Load Estimation Module and Linkage of QUAL2E with Watershed-Scale L-THIA ACN Model

The Long Term Hydrologic Impact Assessment (L-THIA) model was previously improved by incorporating direct runoff lag time and baseflow. However, the improved model, called the L-THIA asymptotic curve number (ACN) model cannot simulate pollutant loads from a watershed or instream water quality. In this study, a module for calculating pollutant loads from fields and through stream networks was developed, and the L-THIA ACN model was combined with the QUAL2E model (The enhanced stream water quality model) to predict instream water quality at a watershed scale. The new model (L-THIA ACN-WQ) was applied to two watersheds within the Korean total maximum daily loads management system. To evaluate the model, simulated results of total nitrogen (TN) and total phosphorus (TP) were compared with observed water quality data collected at eight-day intervals. Between simulated and observed data for TN pollutant loads in Dalcheon A watershed, the R2 and Nash–Sutcliffe efficiency (NSE) were 0.81 and 0.79, respectively, and those for TP were 0.79 and 0.78, respectively. In the Pyungchang A watershed, the R2 and NSE were 0.66 and 0.64, respectively, for TN and both statistics were 0.66 for TP, indicating that model performed satisfactorily for both watersheds. Thus, the L-THIA ACN-WQ model can accurately simulate streamflow, instream pollutant loads, and water quality

Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

In this study, 52 asymptotic Curve Number (CN) regression equations were developed for combinations of representative land covers and hydrologic soil groups. In addition, to overcome the limitations of the original Long-term Hydrologic Impact Assessment (L-THIA) model when it is applied to larger watersheds, a watershed-scale L-THIA Asymptotic CN (ACN) regression equation model (watershed-scale L-THIA ACN model) was developed by integrating the asymptotic CN regressions and various modules for direct runoff/baseflow/channel routing. The watershed-scale L-THIA ACN model was applied to four watersheds in South Korea to evaluate the accuracy of its streamflow prediction. The coefficient of determination (R2) and Nash–Sutcliffe Efficiency (NSE) values for observed versus simulated streamflows over intervals of eight days were greater than 0.6 for all four of the watersheds. The watershed-scale L-THIA ACN model, including the asymptotic CN regression equation method, can simulate long-term streamflow sufficiently well with the ten parameters that have been added for the characterization of streamflow

Green Practices with Reusable Drinkware at Music and Sporting Events: A Hospitality Undergraduate Student Perspective

This paper investigates how hospitality students perceive the use of reusable drinkware and sustainability at music and sporting events and examines variables that influence these perceptions. A four-part online survey of 211 undergraduate students in hospitality programs at 4-year universities in the U.S was conducted. Data analysis shows students are unaware of reusable drinkware programs pertaining to music and sporting events. This study supports personal green practices are positively related to the intention to participate in the r.Cup program and visit eco-friendly music or sporting events. This study does not support that these intentions were moderated by sustainability courses taken by hospitality students. Results of this study can be used to market green practices and sustainable drinkware to event attendees and make educational recommendations when developing coursework in hospitality programs within higher education

Safe Destination Choice Among Tourism-Product Consumers in the New Era of Tourism

The current study assessed and demonstrated the impact of perceived knowledge and perceived susceptibility about COVID-19 on travelers’ intentions for safe destination choice in case when the COVID-19 pandemic is being controlled by crowdedness (i.e., human crowdedness and spatial crowdedness) and monetary promotions. The reliability and validity of the proposed research model were tested by using regression analysis and covariance structural equation modeling. The results revealed a significant effect of perceived knowledge and perceived susceptibility on behavioral intention. It was evidenced that increasing knowledge and susceptibility of COVID-19 is necessary. The moderating effects of human crowdedness, spatial crowdedness, and monetary promotions were also examined through SPSS Process Macro v3.5 and invariance test. In addition, differences in demographic variables (gender, age, annual income, marital status, and ethnic background) on the research model were unveiled. Lastly, both theoretical values and practical implications of this study were discussed

Creating innovation that drives authenticity

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