User profiles for H. Q. Vu

Quan Vu

Deakin Business School, Deakin University
Verified email at deakin.edu.au
Cited by 3083

Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos

HQ Vu, G Li, R Law, BH Ye - Tourism Management, 2015 - Elsevier
Insight into tourist travel behaviors is crucial for managers engaged in strategic planning and
decision making to create a sustainable tourism industry. However, they continue to face …

A big data analytics method for tourist behaviour analysis

SJ Miah, HQ Vu, J Gammack, M McGrath - Information & Management, 2017 - Elsevier
Big data generated across social media sites have created numerous opportunities for
bringing more insights to decision-makers. Few studies on big data analytics, however, have …

Identifying emerging hotel preferences using emerging pattern mining technique

G Li, R Law, HQ Vu, J Rong, XR Zhao - Tourism management, 2015 - Elsevier
Hotel managers continue to find ways to understand traveler preferences, with the aim of
improving their strategic planning, marketing, and product development. Traveler preference is …

Understanding service attributes of robot hotels: A sentiment analysis of customer online reviews

JM Luo, HQ Vu, G Li, R Law - International Journal of Hospitality …, 2021 - Elsevier
Robots and artificial intelligence are essential to the future of the hospitality industry, and
they are receiving increasing interest from hotel managers and researchers. However, the …

Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral

G Li, R Law, HQ Vu, J Rong - Tourism Management, 2013 - Elsevier
Modeling MCDM requires the simultaneous consideration of multiple criteria but traditional
statistical techniques can only evaluate these factors independently. As such, it is vital for …

Exploring tourist dining preferences based on restaurant reviews

HQ Vu, G Li, R Law, Y Zhang - Journal of Travel Research, 2019 - journals.sagepub.com
Dining is an essential tourism component that attracts significant expenditure from tourists.
Tourism practitioners need insights into the dining behaviors of tourists to support their …

A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining

J Rong, HQ Vu, R Law, G Li - Tourism management, 2012 - Elsevier
With the widespread use of Internet technology, electronic word-of-mouth [eWOM] communication
through online reviews of products and services has a strong influence on consumer …

Tourist activity analysis by leveraging mobile social media data

HQ Vu, G Li, R Law, Y Zhang - Journal of travel research, 2018 - journals.sagepub.com
Approaches to traditional travel diary construction rely on tourist participation and manual
recording; hence, they are not only time-consuming but also limited in the scale and the …

The prediction of one-, two-, and three-dimensional heave in expansive soils

HQ Vu, DG Fredlund - Canadian Geotechnical Journal, 2004 - cdnsciencepub.com
The prediction of heave in unsaturated, expansive soils has historically been studied primarily
as a one-dimensional type analysis. This paper proposes a methodology that can be used …

Revisiting tourism destination image: A holistic measurement framework using big data

V Bui, AR Alaei, HQ Vu, G Li… - Journal of Travel …, 2022 - journals.sagepub.com
Understanding and being able to measure, analyze, compare, and contrast the image of a
tourism destination, also known as tourism destination image (TDI), is critical in tourism …