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This study aims to evaluate Artificial Intelligence (AI) research in the hospitality industry based on the service AI framework (mechanical-thinking-feeling) and highlight prospective avenues for future inquiry in this growing domain.

This paper conceptualizes timely concepts supported by research spanning multiple domains.

This research introduces a novel classification for the domain of AI hospitality research. This classification encompasses prediction and pattern recognition, computer vision, NLP, behavioral research, and synthetic data generation. Based on this classification, this study identifies and elaborates upon five emerging research topics, each linked to a corresponding set of research questions. These focal points encompass the realms of interpretable AI, controllable AI, AI ethics, collaborative AI, and synthetic data generation.

This viewpoint provides a foundational framework and a directional compass for future research in AI within the hospitality industry. It pushes the industry forward with a balanced approach to leveraging AI to augment human potential and enrich customer experiences. Both the classification and the research agenda would contribute to the body of knowledge that will guide the industry toward a future where technology and human service coalesce to create unparalleled value for all stakeholders.

This paper investigates strategies for addressing the global challenge of food loss and waste (FLW) within the food industry. It examines the relationship between corporate social responsibility (CSR) initiatives and state regulatory interventions for reducing FLW.

This mixed method study utilizes a unique panel dataset which includes the 150 largest food industry companies in Italy, Norway and the UK. It combines quantitative data analysis with qualitative insights derived from corporate strategies and corporate communications.

The analysis reveals that food companies with an established CSR strategy and in particular companies whose CSR reports highlight their environmental and social achievements are more likely to achieve in effective FLW reduction. Additionally, national-level regulatory interventions guided by European Union waste strategies act as pivotal benchmarks and encourage stricter corporate food waste management policies.

This research underscores the significance of CSR strategies and effective state regulation in the fight against FLW and offers policymakers and businesses valuable insights enabling development of robust strategies.

By emphasizing the interplay between CSR and regulatory intervention, this research contributes to the achievement of a more sustainable and efficient global food system that addresses both economic and ethical concerns and could have far-reaching societal and environmental implications.

The paper sheds light on the interplay between CSR initiatives and regulatory interventions for tackling FLW and emphasizes their synergistic impact on sustainable practices within the food industry.