Customer Loyalty Directives And Employee Turnover Intention: A Qualitative Hospitality Industry Study

The problem of high employee turnover in the hospitality industry is a critical leadership challenge. The focus of this qualitative phenomenological study was the determination of the perceptions, reactions, and experiences leading to retention intentions of frontline hotel employees whose job responsibilities included compliance with customer loyalty directives. Analysis yielded the emergence of six relevant themes: training, directives, customer orientation, compliance failure consequences, customer complaint experiences, and customer loyalty experiences. The findings indicate that compliance with customer loyalty directives and hiring employees with high customer orientation did not result in increased turnover intention

The Debye-Waller Factor in solid 3He and 4He

The Debye-Waller factor and the mean-squared displacement from lattice sites for solid 3He and 4He were calculated with Path Integral Monte Carlo at temperatures between 5 K and 35 K, and densities between 38 nm^(-3) and 67 nm^(-3). It was found that the mean-squared displacement exhibits finite-size scaling consistent with a crossover between the quantum and classical limits of N^(-2/3) and N^(-1/3), respectively. The temperature dependence appears to be T^3, different than expected from harmonic theory. An anisotropic k^4 term was also observed in the Debye-Waller factor, indicating the presence of non-Gaussian corrections to the density distribution around lattice sites. Our results, extrapolated to the thermodynamic limit, agree well with recent values from scattering experiments.Comment: 5 figure

Computer‐aided photo‐identification of a rare stingray, Megatrygon microps

We have defined protocol for photo‐identification to identify individual Megatrygon microps. 104 identification photographs were taken between 2005 and 2019. Spot patterns on the dorsal surface were used to identify individuals. Unique scarring on 8 re‐observed M. microps provided an independent confirmation of pattern stability of up to 761 days. Previously, studies have lacked statistical testing to validate photo‐identification approach. The I3S photo‐matching software was proven to successfully match images, identifying 69 individuals. A photo‐matching software facilitates an open‐source platform for identifying individual M. microps, allowing for better population assessments