scholarly journals Window to the Destination: Tourists’ Local Experience via “Online Experiences” on Airbnb Amid the Pandemic

2022 ◽  
pp. 310-315
Author(s):  
Junjiao Zhang ◽  
Hanqin Qiu
Keyword(s):  
Behavioral Intention ◽  
Social Contact ◽  
Online Reviews ◽  
Four Dimensions ◽  
Local Experience ◽  
Stage Process ◽  
Willingness To Recommend ◽  
Guided Tour ◽  
Beijing China

AbstractThis study aims to explore the composition of virtual guided tour experience on Airbnb and to develop a formation process of virtual guided tour experience. A case study based on the qualitative analysis was conducted with a dataset of online reviews towards an Online Experience in Beijing, China. A three-stage process of virtual guided tour experience was concluded, including experience encounter, experience evaluation, and behavioral intention. Experience encounter describes the experience composition from four dimensions: interpretation quality, host credibility, tourist-host social contact, and peer interaction; Experience evaluation is involved with benefits mainly gained from the enhanced understanding of local culture and the satisfaction attributed by the sense of telepresence; Further, behavioral intention covers both online and offline willingness to recommend or repurchase the virtual tour, or visit the destination in person after the pandemic. Theoretical and practical implications in navigating tourism recovery were discussed.

The Role of Use and Nonuse Values on Festival Attendees' Behavioral Intentions

2020 ◽  
Vol 24 (1) ◽  
pp. 127-138
Author(s):  
Renuka Mahadevan
Keyword(s):  
Behavioral Intention ◽  
Behavioral Intentions ◽  
Mixed Effects ◽  
Life Cycle Theory ◽  
Use Values ◽  
Nonuse Values ◽  
Willingness To Recommend ◽  
Intention To Revisit

This article distinguishes between use and nonuse values in their impact on two behavioral intentions to a rural cultural festival. Results from the case study showed that in the willingness to recommend the festival and intention to revisit by repeat tourists, both use and nonuse values were influential but first timers' intention to revisit was mainly affected by use values. In addition, there was support for the recency–frequency–monetary value paradigm and the distance decay theory with some evidence of a nonlinear relationship between distance and behavioral intention. The life cycle theory and length of festival stay on the other hand saw mixed effects on the two types of behavioral intention. Overall, a two-pronged marketing strategy based on the importance of use and nonuse values to attract first timers and repeat tourists could be considered for a cultural festival.

IMPACT OF THE SOUTH-TO-NORTH WATER DIVERSION PROJECT ON GROUNDWATER RESOURCES: A CASE STUDY IN PINGGU BASIN, BEIJING, CHINA

2013 ◽  
Vol 12 (11) ◽  
pp. 2239-2247 ◽  
Author(s):  
Guomin Li ◽  
Haizhen Xu ◽  
Ming Li ◽  
Shouquan Zhang ◽  
Yanhui Dong ◽  
...  
Keyword(s):  
Groundwater Resources ◽  
Water Diversion ◽  
The South ◽  
Water Diversion Project ◽  
North Water ◽  
Beijing China

scholarly journals The impact of online reviews on e-commerce sales in India: a case study

2021 ◽  
pp. 1-17 ◽  
Author(s):  
Mithun S. Ullal ◽  
Cristi Spulbar ◽  
Iqbal Thonse Hawaldar ◽  
Virgil Popescu ◽  
Ramona Birau
Keyword(s):  
Online Reviews ◽  
The Impact

Estimating NOx removal capacity of urban trees using stable isotope method: A case study of Beijing, China

2021 ◽  
Vol 290 ◽  
pp. 118004
Author(s):  
Cheng Gong ◽  
Chaofan Xian ◽  
Bowen Cui ◽  
Guojin He ◽  
Mingyue Wei ◽  
...  
Keyword(s):  
Stable Isotope ◽  
Urban Trees ◽  
Nox Removal ◽  
Removal Capacity ◽  
Isotope Method ◽  
Beijing China

Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data

2021 ◽  
pp. 004728752110247
Author(s):  
Vinh Bui ◽  
Ali Reza Alaei ◽  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law
Keyword(s):  
Large Scale ◽  
Structural Model ◽  
Destination Image ◽  
Tourism Destination ◽  
Computational Framework ◽  
Four Dimensions ◽  
Tourism Management ◽  
Measurement Framework ◽  
Compare And Contrast

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 management and destination marketing. Although various methodologies have been developed, a consistent, reliable, and scalable method for measuring TDI is still unavailable. This study aims to address the challenge by proposing a framework for a holistic measure of TDI in four dimensions, including popularity, sentiment, time, and location. A structural model for TDI measurement that covers various aspects of a tourism destination is developed. TDI is then measured by a comprehensive computational framework that can analyze complex textual and visual data on a large scale. A case study using more than 30,000 images, and 10,000 comments in relation to three tourism destinations in Australia demonstrates the effectiveness of the proposed framework.

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