Search results

The purpose of this paper is to argue for the merits of design thinking as an approach to develop a content and language integrated learning (CLIL) course in hospitality education. This argument is primed to address the dynamic and ever-changing landscape of the tourism and hospitality industry prompts educators to emphasize on learners developing industry-readiness outcomes through integrating innovative methods.

A quasi-experimental approach was used to examine how design thinking enhances industry-ready competencies. A two-phase self-administered survey on design thinking and added instructional design were facilitated at the beginning of the semester and subsequently close to the end of the semester. Follow-up interviews were also conducted to give more meaning on the matter.

Findings of this study reveal that problem-solving, critical thinking, teamwork and communication skills were enhanced as a result of integrating two teaching components related to design thinking.

This paper articulates the important and valuable role of design thinking to hospitality curriculum and provides tangible outcomes to explain how such a technique may be mapped onto a CLIL course.

While academia, industry and government have made various efforts to ameliorate the impacts of Covid-19, no study has hitherto used an integrative framework to assess the reactions of all three of these sectors to previous multinational epidemics. Such fragmentation ignores the holistic nature of crisis management. To better understand the impacts of health crises on tourism, this study aims to examine the past literature related to academic, industrial and governmental responses to multinational epidemics through the lens of the triple helix model.

Based on preferred reporting items for systematic reviews and meta-analyzes and the best-fit approach, this paper conducts a systematic review of the literature published between 2000 and 2020 on five multinational epidemics that had significant impacts on the tourism industry: food and mouth disease, severe acute respiratory syndrome, bird flu (novel influenza A and avian flu), Ebola and middle east respiratory syndrome. Thematic analysis was used to identify major themes in the 63 relevant articles identified.

No substantial increase was found in the quantity of multinational epidemic-related studies after 2010. Collectively, the 10 identified themes strongly emphasized economic recovery.

No existing tourism-related study examines reactions toward multiple health crises by integrating three important sectors: academia, industry and government. This study fills that research gap with a systematic review of past multinational epidemics and proposes an integrative framework. It also provides recommendations for future research and health-crisis management practices.

This paper determines how travel intentions can be predicted using self-disclosure behaviour, trust and intimacy. This case study focuses on Tinder users who utilised the application's Passport feature which allowed them to travel virtually and interact with other users around the globe amid global travel restrictions.

This quantitative research conveniently sampled 294 Tinder users who used the Passport feature during COVID-19 pandemic lockdowns. Data were analysed using PLS-SEM.

This study revealed that self-disclosure had a significant influence towards future travel intentions. Findings show that the more users self-disclose, the more their intent to travel increase. Trust and intimacy also had significant relationship on travel intentions while intimacy had a mediating effect between self-disclosure and travel intentions.

Tourism-oriented establishments and destination marketers should consider Tinder users as a market segment of future tourists. These users have developed travel intentions through in-app interactions and thus comprise an untapped market of potential tourists seeking for meet-ups and niche experiences in a post-pandemic era.

This study provides novelty in showing the predictive relationship of self-disclosure, trust and intimacy towards travel intentions. A model consisting of these constructs in the context of online interactions was also empirically tested and found adequate to predict travel intentions.