Waste Management Challenges and Efficiency in midscale urban hotels
Description
This dataset investigates the departmental efficiency and implementation challenges of waste management in midscale urban hospitality operations. Comprising cross-sectional survey data from 150 operational staff across six key departments, the dataset captures quantitative metrics on waste generation profiles, adherence to sustainability practices, and the severity of perceived operational barriers. It includes qualitative feedback analyzed via thematic analysis to identify actionable sustainability advancements. The data is structured to evaluate three core hypotheses using Structural Equation Modeling (SEM), exploring how formal training and departmental affiliation influence waste management efficiency.
Files
Steps to reproduce
To facilitate the reproduction of the findings derived from this dataset, the research workflow was executed as follows: (1) Study Design & Data Collection: A cross-sectional survey (N = 150) was administered to operational staff across six key departments in midscale hotels, measuring waste generation, efficiency, implementation challenges, and improvement suggestions via Likert scales and checklists. (2) Data Cleaning: JMP statistical software was used for data cleaning. Categorical variables (Department, Training Status) were transformed into dummy variables. (3) Measurement Model (CFA): A Confirmatory Factor Analysis (CFA) within JMP validated the latent constructs of "Efficiency" and "Challenges". (4) Structural Path Analysis (SEM): A full Structural Equation Model (SEM) utilizing Maximum Likelihood estimation tested the hypotheses. Significance (p < 0.05) was determined using Wald Z-tests. (5) Thematic Analysis grouped qualitative staff suggestions into five distinct themes, findings to propose the final cost-effective resource optimization models.