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Robotics Effect on Green Practices Through Future of Hospitality Operations in the Horn of Africa
Abstract
The overarching question of this chapter is: how has robotics influenced green measures in the hospitality sub-sector and adopted sustainable functioning in the Horn of Africa? The study also has a total of 385 respondents with varying age, gender, and nationality the data is analyzed using Kaiser-Meyer-Olki (KMO) Measure of Sampling Adequacy, Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) with AMOS Software. From this study, the authors establish that integration of robotics in processes essential productivity advantage and support green initiatives in operations in the hospitality industry. The results of KMO test suggest that variable are highly interrelated and hence the choice of factor Analysis was correct. CFA makes structural validity with proposed model by proving that there is positive relationship between robotics and green practices in terms of resource management and customers. robotics facilitates environmentally friendly strategies for the growth of the hospitality industry.
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