Bridging Insights for Sustainability: A Mixed-Methods Exploration of Best Practices in the Hotel Development Business

Abstract

This study, mainly reinforced by Fayoum University and the Academy of Scientific Research and Technology (ASRT) in Egypt, purposes to establish a holistic guideline of the best practice for sustainable development (SD) in Fayoum-Egyptian hotels at EL-Fayoum, Egypt. The study proposes a conceptual model that focuses on the costumers’ point of view, looking at the impact which accommodation establishments SD initiatives have on guests’ choice to stay there and revisit intention (IR). The research utilizes a flexible mixed-methods approach, divided into two intervals: qualitative and quantitative. The qualitative interval consists of 14 semi-organized interviews with key hotel executives to discuss SD practices. During the quantitative interval, a survey circulated to hotel customers. This helps in generalizing results and testing hypotheses through a machine learning approach based on structural equation modeling (SEM). The findings designate SD measures significantly affect guests’ IR. The environmental, economic, and social norms of SD, inclined by subjective norms, have a positive effect on IR. SEM breakdown demonstrates that subjective norms show a significant mediating position between SD measures and IR, screening noteworthy predictive weight. This research adds to the philosophy of planned behavior (TPB) by pertaining to it within the hotel sector, offering a dynamic SD framework that comprehends environmental, economic, and social SD facets. The study offers hotel managers a toolkit with an actionable acuity to implement dynamic SD performs, through responsible maneuvers.

Keywords: Best-Practice Model, Sustainable Development, Fayoum Hotels, SEM, Mixed-Methods, Machine Learning

View PDF