Yes / This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to enhance a value proposition by influencing different areas of services in the travel and tourism industry. We adopted semi-structured interviews to derive insights from 26 respondents. Thematic analysis reveals the development of four main themes (personalization, data-driven service offering, security and safety, and seamless payments). Further, we mapped the impact of AI- driven facial recognition to enhance value and experience for corporate guests. Findings indicate that AI-based facial recognition can facilitate the travel and tourism industry in understanding travelers’ needs, optimization of service offers, and value-based services, whereas data-driven services can be realized in the form of customized trip planning, email, and calendar integration, and quick bill summarization. This contributes to strengthening the tourism literature through the lens of organizational information processing theory.

This dissertation focuses on the identification and analysis of Corporate Social Responsibility (CSR) topoi in the travel and tourism industry. A sample set of six companies was selected for the study due to their size and prominence in the industry -- namely Disney, Hilton, Intercontinental, Marriott, Starwood, and Wyndham. Topoi were identified through a blended method of research that employed rhetorical analysis, modified grounded theory, and NVIVO content analysis software. The research followed three guiding principles to recognize textual cues and drive analysis: common and special topoi; topoi as heuristic; topoi for association and amplification; and topoi as fluid and movable. The common CSR topoi, triple bottom line and shared value, were also used as overarching categories for coding the texts. The results of the method yielded six unique topoi that were specific to each company; these included Inspiration, Higher Purpose, Collaborative Innovation, Leadership, The Age of Great Change, and Green. Results also included a set of seven special industry topoi that were common across all of the sample companies; these included Commitment, Management, Alignment, Environment, Engagement, Achievement, and Sustainability. The rhetorical synergy and topological levels identified through this research can inform other studies of CSR about the generative potential of topoi and its fluidity when viewed from different conceptual vantage points.