[HTML][HTML] Past, present, and future of virtual tourism-a literature review

S Verma, L Warrier, B Bolia, S Mehta - International Journal of Information …, 2022 - Elsevier
Humanizing the tourism experience with virtual and augmented reality has gained traction,
but fragmented literature delimits the holistic view. Present study bridges this knowledge gap …

Data analytics in the supply chain management: Review of machine learning applications in demand forecasting

A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …

Esca** to nature during a pandemic: A natural experiment in Asian cities during the COVID-19 pandemic with big social media data

Y Lu, J Zhao, X Wu, SM Lo - Science of the total environment, 2021 - Elsevier
As global communities respond to the spread of coronavirus disease 2019 (COVID-19),
urban residents worldwide have reduced their mobility, which may have incidentally kept …

Artificial intelligence for hospitality big data analytics: develo** a prediction model of restaurant review helpfulness for customer decision-making

M Lee, W Kwon, KJ Back - International Journal of Contemporary …, 2021 - emerald.com
Purpose Big data analytics allows researchers and industry practitioners to extract hidden
patterns or discover new information and knowledge from big data. Although artificial …

Glam** after the coronavirus pandemic

CA Craig, I Karabas - Tourism and Hospitality Research, 2021 - journals.sagepub.com
Glam** is an increasingly popular and accessible modern form of cam**. To address
current and future impacts of COVID-19 on glam**, 2926 active leisure travelers in the US …

Cam**, glam**, and coronavirus in the United States

CA Craig - Annals of Tourism Research, 2021 - Elsevier
Prior to the novel coronavirus 2019 (COVID-19), interest in cam**—an outdoor
accommodation and form of recreation (Craig, 2019)—among experienced and new …

[HTML][HTML] Understanding changes in park visitation during the COVID-19 pandemic: A spatial application of big data

WL Rice, B Pan - Wellbeing, space and society, 2021 - Elsevier
In the spring of 2020, the COVID-19 pandemic changed the daily lives of people around the
world. In an effort to quantify these changes, Google released an open-source dataset …

Hierarchical pattern recognition for tourism demand forecasting

M Hu, RTR Qiu, DC Wu, H Song - Tourism Management, 2021 - Elsevier
This study proposes a hierarchical pattern recognition method for tourism demand
forecasting. The hierarchy consists of three tiers: the first tier recognizes the calendar pattern …

Climate Resources for Cam**: A Resource-based theory perspective

CA Craig, S Ma, S Feng - Tourism Management Perspectives, 2023 - Elsevier
Cam** is a salient economic contributor to nature-based tourism that is also beholden to
the natural environment. Climate resources are the combination of naturally occurring …

[PDF][PDF] Cam** tourism: A review of recent international scholarship

CM Rogerson, JM Rogerson - Geo Journal of Tourism and …, 2020 - gtg.webhost.uoradea.ro
One of the most under-researched facets of lodging is that which surrounds the niche of
cam** tourism. This review article traces trends and recent developments sha** …