Kedarnath Thakur, Aarushi Singh, M. Srimannarayana
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May AI come in? Generative AI shaping gender diverse recruitment in the hospitality industry
In the recent development of recruitment research in the hospitality industry, the need to assess the job attributes, signal of gender diversity, perception of potential employees about the organization, and assessment of hiring outcomes has gained immense interest. Across three experimental studies, this paper examines the to-and-fro interactive recruitment process with generative AI assistance in the context of the hospitality industry. Across studies 1–3, the cognitive process of applicants while browsing gender-diverse job advertisements is assessed using an eye-tracking approach, followed by the usefulness of feminine and masculine cues assisted by generative AI are examined using a text analysis approach and lastly, assessing the likability and hireability of job applicants to fit for the hospitality industry through cover letters in scenarios where evaluators are unaware of the generative AI-assistance.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.