Tourism demand forecasting using tourist-generated online review data

Hu, Mingming; Li, Hengyun; Song, Haiyan; Xin, Li; Law, Rob

doi:10.1016/j.tourman.2022.104490

Cited by 76 publications

(26 citation statements)

References 69 publications

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“…The characteristics also included physical features in the malls such as decor, air conditioning, cleanliness, spaciousness, and safety procedures (Peter and Anankumar 2016). The study concluded that malls' attributes, mall atmosphere, safety, mall amenities, product range, and staff service positively influence overall tourists' shopping experience (Hu et al, 2022;Jung et al, 2021;Khajehshahkoohi et al, 2022;Kim et al, 2023;Zhang et al, 2019). However, it is not easy to generalize the findings of this study because the criterion of tourists' choice remained unclarified, and tourist types remained unidentified.…”

Section: Mega Shopping Malls Attributesmentioning

confidence: 83%

“…This investigation contributes to the literature on consumer behavior and tourists' perceptions of mega-malls in Doha (Wong and Lai, 2021;Zhang et al, 2020). Regarding the case of Doha, megamalls overwhelm tourists' shopping experience in Qatar for several reasons (Al Sulaiti et al, 2005;Hu et al, 2022;Kim et al, 2023;Sulaiti et al, 2006). The jumbo shopping malls offer convenience, comprehensiveness, and cost-effectiveness (Abaalzamat et al, 2021;Durmaz et al, 2022;Joo et al, 2019;Khajehshahkoohi et al, 2022;Rasoolimanesh et al, 2021).…”

Section: Introductionmentioning

confidence: 89%

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Mega shopping malls technology-enabled facilities, destination image, tourists’ behavior and revisit intentions: Implications of the SOR theory

Al-Sulaiti

2022

Front. Environ. Sci.

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Mega shopping malls technology-enabled services influence tourists shopping behavior as Jumbo malls offer a broader range of products and services with innovative features that impacts revisit intentions. This study’s novelty is the research on mega shopping malls as literature lacs it. Travel, leisure, and tourism sectors have gained balanced attention, and scholars have contributed with academic research perspectives. Mega malls in modern cities attract tourists that help foster economic development with revisit intentions. Technology-enabled products influence sustainable tourists’ experiences. Despite broad investigative studies on tourists’ experiences, literature shows little regarding tourists’ shopping experiences in mega shopping malls that lead to reviewing tourist destination choices. This narrative research explores how shopping malls attributes influence tourists’ behavioral intentions in mega malls’ shopping environments that satisfy them for revisiting intentions in the future. Doha city is an economic hub that plays a crucial role in the economic and social development of the region. The city lies on the sea and has many mega shopping malls that offer technology-enabled products and services to attract regional and global tourists. It boosts sustainable economic activities, climate change, and environmental protection concerns. The city of Doha oscillates widespread beaches, and its mega shopping malls are famous as tourist attractions for domestic, regional, and global travelers. As an independent and economically affluent country, it has its take on attracting tourists. The study aimed to examine the revisiting behavior of Doha tourists with destination revisit intentions. A pleasant shopping experience in sizeable technology-enabled shopping malls is critical for tourist satisfaction. The trust, perceived value, and environmental effects affect tourists’ revisit intentions. Other factors include high spirits, excitement, new tourist destinations, and visiting friends. External factors include a preference for natural and historical destinations, technology-enabled facilities, infrastructure, safety, affordability, comfort, budget range, and sociocultural factors. The study recommends future inquiries based on factors that empirically test mega malls’ technology-enabled product effects on tourists’ behaviors. The findings not only contribute to tourists’ experiences in mega shopping malls and revisit intention literature but also provide implications’ for officials and policymakers to articulate policies that promote tourists’ mega-mall shopping experiences and destinations.

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Section: Mega Shopping Malls Attributesmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 89%

Mega shopping malls technology-enabled facilities, destination image, tourists’ behavior and revisit intentions: Implications of the SOR theory

Al-Sulaiti

2022

Front. Environ. Sci.

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“…In 2019, the coronavirus disease (COVID-19) pandemic ravaged the world, with a huge negative impact on countries, including their social and economic aspects ( Zhang, Song, Wen, & Liu, 2021 ). The tourism and hospitality industries of several countries have been hit hard by embargo measures and restrictive policies ( Wu, Hu, & Chen, 2022 ; Yang, Fan, Jiang, & Liu, 2022 ). Due to the unexpected and severe mobility restrictions brought on by the COVID-19 epidemic, the tourism industry is currently in an unprecedented situation and needs assistance on how quickly different destinations will recover ( Liu et al, 2021a , Liu et al, 2021b ).…”

Section: Introductionmentioning

confidence: 99%

Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach

Zhao

et al. 2023

Tourism Management

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“…As a result, popular science tourism, especially in a university town that is close to the center of the city, becomes a good choice for most people. Travel companies and universities can design travel products based on various technologies already available, such as tracking through personal registration information, government, or analysis based on reviews of travel software [30][31][32].…”

Section: Introduction 1the Development Of Science Tourism and The Rol...mentioning

confidence: 99%

Suitability Evaluation of Popular Science Tourism Sites in University Towns: Case Study of Guangzhou University Town

Wei

et al. 2022

Sustainability

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With the advent of the knowledge economy, universities have increasingly important roles in cities. However, some universities and cities are still fragmented, and popular science tourism is one way to solve this. The purposes and destinations of popular science tourism differ from those of traditional tourism. Consequently, their resources have a high development value for ecological and human resources. However, research on popular science tourism in China is still in its infancy. Here, we studied popular science tourism from a geographical perspective, selecting scale capacity, environmental level, resource level, location, and service conditions as factors to construct a judgment matrix to calculate the weights of indicators at various levels. Analytic hierarchy was used to build a popular science tourism evaluation system for Guangzhou University Town as a case study and the suitability of each tourist destination in the university town was evaluated. The results show that west Guangzhou University Town is more suitable for popular science tourism than the east, which possesses more value for popular science tourism development. Finally, we give recommendations for developing popular science tourism in Guangzhou University Town.

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Tourism demand forecasting using tourist-generated online review data

Cited by 76 publications

References 69 publications

Mega shopping malls technology-enabled facilities, destination image, tourists’ behavior and revisit intentions: Implications of the SOR theory

Mega shopping malls technology-enabled facilities, destination image, tourists’ behavior and revisit intentions: Implications of the SOR theory

Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach

Suitability Evaluation of Popular Science Tourism Sites in University Towns: Case Study of Guangzhou University Town

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