Institut Paul Bocuse

This timely and innovative book offers an inspirational and thought-provoking journey into the future world of hospitality by conceptualizing an innovative future where hotels transcend traditional boundaries and evolve into dynamic hubs of innovation, environmental stewardship, community engagement, and personal growth at the guest, employee, and local resident level. Written to captivate not just industry specialists but also academia and general enthusiasts, this book presents a stimulating exploration of the transformative effects hotels can have on individuals, destination communities, and society at large.The book has three parts, with each part combining current trends with speculative future advancements, aiming to inspire and challenge entrepreneurs, educators, and researchers to think of hotel innovation beyond the constraints of today's technology and societal norms. The first part focuses on the individual-level transformation that hotels can instigate, while the second part delves into the influential role of hotels as agents of community-wide transformation. The final part examines the role of hotels in driving system-wide transformation in environmental and social sustainability and ecological conservation by developing a renewed purpose for them. This groundbreaking book conceives the transformative hotels of the future and provides a futuristic perspective focusing on the fundamental effects that hotels can have on individuals, the society, and the planet. The book aims to challenge and inspire hoteliers, hospitality students, and scholars to think of hotels under a new light.

Developing olfactory expertise is essential in professions like perfumery, where the ability to describe, categorize, and conceptualize odors is critical. This study investigates how academic training during a 1.5-year program at a perfumery school (ISIPCA) shapes olfactory expertise of perfumery students. Forty students were assessed at three time points, focusing on odor description, evocation, recognition, discrimination, and categorization tasks. Results show that training significantly enhanced language abilities related to odor description and categorization. Students developed a richer and more precise vocabulary to characterize odors, aligning more closely with expert’s terminology and contributing to the formation of a shared olfactory lexicon. Semantic similarity within and between students, as well as with expert references, increased, emphasizing the importance of consistent language use in expertise development. Advanced natural language processing and machine learning tools revealed that the richness of verbal descriptions and semantic similarity were strong predictors of expertise acquisition. In contrast, improvements in non-verbal tasks, such as odor discrimination and recognition, were more limited, suggesting that perceptual abilities may require more extensive training or specialized methods. Building on these results, we propose potential enhancements to olfactory training including reinforced language practice, mental imagery exercises, and sensory discrimination tasks, along with personalized training strategies. These findings highlight the central role of language in the emergence of olfactory expertise and the importance of computational methods for optimizing training programs and advancing educational practices in olfactory science

PurposeThis paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the consumer loyalty and investor structure perspectives, the relationship between ESG performance and systemic risk sensitivity is analyzed.Design/methodology/approachSince Morgan Stanley Capital International (MSCI) ESG officially began to analyze and track China A-shares from 2018, 275 listed companies in the SynTao Green ESG testing list for 2015–2021 are selected as the initial model. To measure the systematic risk sensitivity, this study uses the beta coefficient, from capital asset pricing model (CPAM), employing statistics and data (STATA) software.FindingsThe study reveals that high ESG rating companies have high corresponding consumer loyalty and healthy trading structure of institutional investors, thereby the systemic risk sensitivity is lower. This paper reveals that companies with high ESG rating are significantly less sensitive to systemic risk than those with low ESG rating. At the same time, ESG has a weaker impact on the systemic risk of high-cap companies than low-cap companies.Practical implicationsThe study helps the companies understand the influence of market value on the relationship between ESG performance and systemic risk sensitivity. Moreover, this paper explains explicitly why ESG performance insulates a firm’s stock from market downturns with the lens of consumer loyalty theory and investor structure theory.Originality/valueThe paper provides new insights on the company’s ESG performance that significantly affects the company’s systemic risk sensitivity.