The multifaceted nature of the skills required by new-age professions, reflecting the dynamic evolution of the global workforce, is the focal point of this study. The objective was to synthesize the existing academic literature on these skills, employing a scientometric approach . This involved a comprehensive analysis of 367 articles from the merged Scopus and Web of Science databases. Science. We observed a significant increase in annual scientific output, with an increase of 87.01% over the last six years. The United States emerged as the most prolific contributor, responsible for 21.61% of total publications and receiving 34.31% of all citations. Using the Tree algorithm of Science (ToS), we identified fundamental contributions within this domain. The ToS outlined three main research streams: the convergence of gender, technology, and automation; defining elements of future work; and the dualistic impact of AI on work, seen as both a threat and an opportunity. Furthermore, our study explored the effects of automation on quality of life, the evolving meaning of work, and the emergence of new skills. A critical analysis was also conducted on how to balance technology with humanism, addressing challenges and strategies in workforce automation. This study offers a comprehensive scientometric view of new-age professions, highlighting the most important trends, challenges, and opportunities in this rapidly evolving field.
Background: The hotel industry is labor-intensive. Both technical and behavioral aspects of quality are considered to ensure service quality and customer satisfaction among the internal and external customers as a whole, creating a competitive advantage. Significance: Recruiting and selecting the right people is paramount to the success of the hospitality industry in the sense that the best delivery will be enhanced if proper procedures are used and the right people are selected who can handle their tasks to the best satisfaction of the customer. Method: The goal of the research was to explore the recruiting and selection practices/methods used in the hotel industry, as well as their employability. The study aims to explore the differences in the mix of recruitment and selection methods implemented in 4- and 5-star and different category hotels. As an enterprise, HRD comprises change, learning, and performance. Results: Based on the findings, it is imperative to invest in human resources as a capital asset to boost staff entities in terms of knowledge and capabilities, thereby contributing to better service quality and enhanced customer satisfaction. This would help fulfil the organizations’ objectives. Conclusion: The study concludes that the selected candidates are being analyzed properly and effectively. It is very important to note that the results of this study cannot be generalized as it deals with a restricted clientele, and this could only add on variables and instances to form a common standpoint for the other hotel managers.
Since the onset of the COVID-19 pandemic, academic research has primarily focused on the challenges posed by flexible working arrangements. However, there has been a lack of exploration into managers’ intentions to either promote or reject remote work. This paper utilizes a TAM analysis to examine managers’ attitudes and motivations towards implementing telework in a sample of European companies. Our findings reveal that this intention is largely influenced by their perception of its usefulness. Additionally, telework is more likely to be accepted when managerial teams believe that those who hold significance to them also support the implementation of flexible work practices in their companies. Our research contributes to the existing literature by considering the impact of job performance, quality of output, and digital skills on telework adoption. The results confirm that skills related to communication and team building are crucial competencies for successfully implementing telework. The ability of leaders to effectively build, motivate, recognize, and hold accountable teams in virtual environments can make all the difference.
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