Cultural media, film, and television works can increase the popularity of the image of tourist destinations, thereby promoting the sustainable development of the tourism industry and obtaining economic benefits. This study takes Chinese kung fu film and television as examples to explore the...
Author(s)
Chen Huan; Zuo YiFan; Law, R.; Zhang Mu
Publisher
MDPI AG, Basel, Switzerland
Citation
Sustainability, 2021, 13, 7,
This research introduces online travel photos published on social media platforms as a complementary data resource to examine the behavior and experience of museum visitors. The practical value of online travel photos is demonstrated through a case study of popular Hong Kong museums, particularly...
Author(s)
Vu HuyQuan; Luo JianMing; Ye BenHaoBin; Li Gang; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2018, 35, 4, pp 493-506
Intangible cultural heritage can provide cultural value content for product development and marketing of tourism destinations, enabling these areas to obtain economic benefits. This study selects cultural identity as an antecedent variable, and applies the theory of planned behavior to construct...
Author(s)
Zhang GeGe; Chen XiaoYuan; Law, R.; Zhang Mu
Publisher
MDPI AG, Basel, Switzerland
Citation
Sustainability, 2020, 12, 21,
Considering Macau's close ties with China and its advantageous location, the Macau government should strongly promote the diversification of the city's core gambling industry to ensure its long-term sustainable growth. As the economy and tourism policies adopted by Mainland China change rapidly,...
Author(s)
Pang, L.; Law, R.; Fong KaChio [Fong, K. C. D.]
Publisher
Routledge, Philadelphia, USA
Citation
Journal of China Tourism Research, 2021, 17, 1, pp 33-56
The rapid development of the Internet has provided travellers the opportunity to search and compare travel-related products. Meanwhile, airlines are adopting online pricing strategies to expand their target market shares. Nevertheless, limited attention has been paid on assisting airlines in...
Author(s)
Lee YunEui; Sun, S.; Law, R.; Zhong LiNa
Publisher
Texas A & M University Press, College Station, USA
Citation
e-Review of Tourism Research, 2020, 17, 5, pp 722-736
The heterogeneity and dynamic nature of tourist needs requires an advanced understanding of their context. This study aims to investigate the effects of observable factors of internal and external contexts on tourist perceptions towards personalised information services performance. An exploratory...
Author(s)
Volchek, K.; Law, R.; Buhalis, D.; Song HaiYan
Publisher
Texas A & M University Press, College Station, USA
Citation
e-Review of Tourism Research, 2020, 17, 5, pp 737-752
Disintermediation, which refers to dealing with customers directly through the e-booking platform, has been gradually embraced by travel product suppliers in recent years to avoid high distribution costs of the intermediaries. Additionally, the ever-increasing number of mobile users has encouraged...
Author(s)
Chan YuFai; Law, R.; Ma Jing
Publisher
Texas A & M University Press, College Station, USA
Citation
e-Review of Tourism Research, 2020, 17, 5, pp 799-807
Website evaluation has gained considerable attention from academic researchers since the emergence of hotel websites in the late 1990 s. Previous studies have developed and adopted various methodologies and approaches for website evaluation. However, studies tracking changes in hotel website...
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2019, 76, Part B, pp 2-9
The continuous growth of electronic (e) commerce prompted businesses to manage effective websites to attract customers and retain loyalty. Website evaluation has been extensively researched, but a comprehensive and globally accepted model is yet to be established in the tourism and hospitality...
Author(s)
Chong SookYup; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2019, 36, 1, pp 60-75
Traditional tourism demand forecasting models may face challenges when massive amounts of search intensity indices are adopted as tourism demand indicators. Using a deep learning approach, this research studied the framework in forecasting monthly Macau tourist arrival volumes. The empirical...
Author(s)
Law, R.; Li Gang; Fong KaChio [Fong, K. C. D. ]; Han Xin
Publisher
Elsevier Ltd, Oxford, UK
Citation
Annals of Tourism Research, 2019, 75, pp 410-423