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Purpose – The utilisation of artificial intelligence (AI) and service robots within organisations is perceived as a two-fold transformation. While it streamlines processes, enhances quality, and boosts profits, it also poses a threat to job security for employees, potentially leading to a reluctance to collaborate in service creation, resulting in increased turnover and reduced overall involvement. Additionally, customers may experience discomfort during interactions with service robots, leading to perceptions of poor service quality in certain instances. This study aims to explore the dynamic between robots and employees within the service sector and develop a cobotic (collaborative employee-robot model) that enhances employee and customer engagement. Design – Three studies will be conducted to address the research questions. Study 1 will focus on research question 1, Study 2 will address research question 2, and Study 3 will address research question 3. Methodology—Study 1 will employ grounded theory through a qualitative focus group, semi-structured interviews, and participant unstructured observations; Study 2 will use a quantitative online and on-site survey employing a scenario-based approach; and Study 3 will use a quantitative online survey employing a scenario-based approach. Approach – This study will investigate the employee-robot relationship within the service industry, with a particular emphasis on the hospitality sector. The choice of this focus is prompted by the increasing adoption of robotics in this field and its direct relevance to the researcher’s professional background. Findings – This study’s findings will address the research objectives and questions: 1. Explore the relationship between employees and robots - What is the relationship between employees and robots in the service industry? 2. Examine how employee-robot relationships can address employee engagement - How does the robot-employee relationship affect employee engagement? 3. Examine how employee-robot relationships can address customer engagement - How does the robot-employee relationship affect customer engagement? Originality of the research – The research will contribute to engagement, artificial intelligence, human resources, and Value Co-Creation literature.
Purpose – The utilisation of artificial intelligence (AI) and service robots within organisations is perceived as a two-fold transformation. While it streamlines processes, enhances quality, and boosts profits, it also poses a threat to job security for employees, potentially leading to a reluctance to collaborate in service creation, resulting in increased turnover and reduced overall involvement. Additionally, customers may experience discomfort during interactions with service robots, leading to perceptions of poor service quality in certain instances. This study aims to explore the dynamic between robots and employees within the service sector and develop a cobotic (collaborative employee-robot model) that enhances employee and customer engagement. Design – Three studies will be conducted to address the research questions. Study 1 will focus on research question 1, Study 2 will address research question 2, and Study 3 will address research question 3. Methodology—Study 1 will employ grounded theory through a qualitative focus group, semi-structured interviews, and participant unstructured observations; Study 2 will use a quantitative online and on-site survey employing a scenario-based approach; and Study 3 will use a quantitative online survey employing a scenario-based approach. Approach – This study will investigate the employee-robot relationship within the service industry, with a particular emphasis on the hospitality sector. The choice of this focus is prompted by the increasing adoption of robotics in this field and its direct relevance to the researcher’s professional background. Findings – This study’s findings will address the research objectives and questions: 1. Explore the relationship between employees and robots - What is the relationship between employees and robots in the service industry? 2. Examine how employee-robot relationships can address employee engagement - How does the robot-employee relationship affect employee engagement? 3. Examine how employee-robot relationships can address customer engagement - How does the robot-employee relationship affect customer engagement? Originality of the research – The research will contribute to engagement, artificial intelligence, human resources, and Value Co-Creation literature.
The article is devoted to a statistical study of the profitability of the hospitality industry, particularly temporary accommodation, and catering enterprises, as a component of the hospitality industry. The study's relevance in recent years is noted, as the industry has suffered significant losses due to the impact of the COVID-19 pandemic and full-scale invasion. The latest publications on this issue are studied. It is determined that scientists have studied the activities of hospitality enterprises mainly at the micro level. Scientific discussions on the issues of profitability and profitability of the hospitality business at the macro level using statistical analysis are practically absent, which led to this study. Using the graphical method and the calculated statistical indicators of dynamics over the past ten years, the net profit (loss) dynamics of temporary accommodation and catering enterprises are analyzed. It is determined that enterprises are primarily unprofitable. To determine the reasons for the unprofitability of the industry, the factors influencing the profitability of the hospitality business are selected: net income from sales of products (goods, works, services), other operating income, other income, and expenses. Using correlation and regression analysis, the influence of each factor on net profit (loss) is calculated. It is determined that the indicators significantly impact the income item "Other income" and expenses. Based on the results of the calculations, a multivariate regression model was built and analyzed, which confirmed a significant positive impact of other income on net profit (loss) and a negative impact on expenses. Using the trend analysis, the author determines the trend and forecasts the industry's net profit (loss) for 2024 and 2025, which demonstrates a tendency to further reduce the industry's profitability without effective measures for its development. It is determined that to avoid further deepening of the crisis in the hospitality sector, it is necessary to implement effective strategies and measures both at the level of enterprises and the level of the State. Keywords: hospitality industry, profitability of the hospitality industry, statistical analysis of profitability of the hospitality industry.
The hospitality industry is one of the significant contributors to financial development and survivability. As the biggest segment in the lodging business, the neighborliness business satisfies a substantial capacity to provide food for the necessities and needs of travelers. Hotels are transforming their business operations to stay ahead of this disruption. The hospitality industry is looking for skilled and talented people to fulfill the expectations of the industry. The management's prime duty is to allocate the right task to the right person to achieve the desired results and goals. This study proves the importance of talent management practices and the time to work together with academia and industry to fulfill the industry's expectations. The findings prove that T.M. is measured by talent attraction, talent development, and talent retention.
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