/library/oar/handle/123456789/307 2026-01-02T16:40:29Z /library/oar/handle/123456789/141666 Title: Environmental, social and governance (ESG) factors for sustainable tourism development : the way forward toward destination resilience and growth Authors: Camilleri, Mark Anthony Abstract: Although environmental, social and governance (ESG) performance is increasingly gaining popularity in corporate and financial domains, its application in the tourism industry is still relatively underexplored. Hence, the objectives of this research are fivefold: (1) A systematic review appraises the extant literature on the intersection of the ESG dimensions and sustainable tourism; (2) It provides a synthesis of the content of the extracted articles and maps thematic intersections related to travel destinations' environmental stewardship, social equity and governance frameworks; (3) It assesses ESG-aligned strategies that are intended to address the destinations' challenges including their carrying capacities and overtourism issues, climate risks, sociocultural tensions as well as institutional accountabilities; (4) It provides a holistic conceptual framework that guides policymakers, practitioners and stakeholders in integrating ESG into tourism planning and development, for sustainable and economically viable outcomes. In conclusion, (5) it advances theoretical and managerial implications. 2025-11-25T00:00:00Z /library/oar/handle/123456789/141369 Title: Responsible AI for trustworthy tourism: A framework for mitigating ambiguity and anxiety with generative AI Authors: Singu, Hari Babu; Chakraborty, Debarun; Troise, Ciro; Camilleri, Mark Anthony; Bresciani, Stefano Abstract: Generative AI models are increasingly adopted in tourism marketing content based on text, image, video, and code, which generates new content as per the needs of users. The potential uses of generative AI are promising; nonetheless, it also raises ethical concerns that affect various stakeholders. Therefore, this research, which comprises two experimental studies, aims to investigate the enablers and the inhibitors of generative AI usage. Studies 1 (n = 403 participants) and 2 (n = 379 participants) applied a 2 × 2 between-subjects factorial design in which cognitive load, personalized recommendations, and perceived controllability were independently manipulated. The initial study examined the probability of reducing the cognitive load (reduction/increase) due to the manual search for tourism information. The second study considers the probability of receiving personalized recommendations using generative AI features on tourism websites. Perceived controllability was treated as a moderator in each study. The impact of the cognitive load produced mixed results (i.e., predicting perceived fairness and environmental well-being), with no responsible AI system constructs explaining trust within Study 1. In study 2, personalized recommendations explained each responsible AI system construct, though only perceived fairness and environmental well-being significantly explained trust in generative AI. Perceived controllability was a significant moderator in all relationships within study 2. Hence, to design and execute generative AI systems in the tourism domain, professionals should incorporate ethical concerns and user-empowerment strategies to build trust, thereby supporting the responsible and ethical use of AI that aligns with users and society. From a practical standpoint, the research provides recommendations on increasing user trust through the incorporation of controllability and transparency features in AI-powered platforms within tourism. From a theoretical perspective, it enriches the Technology Threat Avoidance Theory by incorporating ethical design considerations as fundamental factors influencing threat appraisal and trust. 2026-01-01T00:00:00Z /library/oar/handle/123456789/141367 Title: Green accommodation choices in the sharing economy Authors: Farmaki, Anna; Pappas, Nikolaos; Stergiou, Dimitrios; Apostolakis, Alexandros; Camilleri, Mark Anthony Abstract: Purpose: This study aims to explore how tourist intention to select green peer-to-peer (P2P) accommodation is shaped by complex, interrelated factors. While past research has largely adopted linear approaches, this study addresses the need for a configurational understanding of behavioural intention in green consumption, particularly within the under-examined P2P accommodation sector. Design/methodology/approach: Adopting a configurational perspective grounded in complexity theory, the study uses fuzzy-set Qualitative Comparative Analysis (fsQCA) and Necessary Condition Analysis (NCA) to explore how configurations of causal conditions – together with key demographic and experiential factors – shape tourists’ intention to select green P2P accommodation. Findings: Three distinct orientations were identified: value- and norm-based, concern–capability and socially reinforced habitual control. These reflect differing pathways through which intention is formed, based on the interplay of environmental concern, attitudes, subjective norms, perceived behavioural control and green behaviour at home. The presence of these conditions across configurations highlights that intention may emerge through different causal paths, each shaped by distinct combinations of influencing factors. Originality/value: To the best of the authors’ knowledge, this is the first study to examine tourist intention to choose green P2P accommodation through the lens of complexity theory. Moving beyond the linear assumptions of past research, it adopts a configurational approach to reveal how multiple interacting factors shape behavioural intention. By applying fsQCA and NCA within this framework, this study uncovers distinct pathways to intention, offering both theoretical advancement in the study of green consumption and practical value for platforms and hosts operating in the landscape of P2P accommodation. 2025-01-01T00:00:00Z /library/oar/handle/123456789/138948 Title: Exaggerated statements in online consumer reviews : causes and implications Authors: Camilleri, Mark Anthony; Bhatnagar, Shakti Bodh; Chakraborty, Debarun Abstract: This study investigates the factors that contribute to the creation of inflated consumer testimonials. Quantitative data were gathered from four-hundred forty (440) respondents who shared their service experiences through popular social media platforms. A covariance-based structural equations model approach has been used to analyze the data. The results suggest that psychological and emotional factors including the consumers’ self-image, self-enhancement as well as their motivations for retribution against service providers, are having a significant effect on the development of amplified review content. 2025-09-08T00:00:00Z