Hospitality

Sociology

Business

Artificial intelligence

Economics

Marketing

Political science

Tourism

Hospitality management studies

Qualitative research

Human resource management

Originality

Workforce

Employee retention

Talent management

Social science

Computer science

Economic growth

Hospitality industry

Knowledge management

Selection (genetic algorithm)

Journal of Tourism Futures

Purpose The hospitality and tourism industry faces a number of workforce challenges, especially the high turnover rates and associated replacement costs associated with continually identifying and hiring new employees. The purpose of this paper is to discuss how hospitality and tourism organizations can use electronic human resource management (eHRM) and artificial intelligence (AI) to help recruit and select qualified employees, increase individual retention rates and decrease the time needed to replace employees. Specifically, it discusses how e-recruiting and e-selection and AI tools can help hospitality and tourism organizations improve recruiting and selection outcomes. Design/methodology/approach Research on eHRM, AI, employee recruitment and employee selection are applied to the hospitality and tourism industry and insights for how eHRM and AI can be applied to the industry are discussed. Findings eHRM and AI have the potential to transform how the hospitality and tourism industry recruit and select employees. However, care must be taken to ensure that the insights gained and the decisions made are well received by employees and lead to better employee and organizational outcomes. Research limitations/implications This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry. Originality/value This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

The benefits of eHRM and AI for talent acquisition