Assessing Chinese Tourists’ Satisfaction with their Shopping Experiences in Bangkok Metropolis

Parasakul, Lertporn

doi:10.1080/19388160.2019.1638864

Cited by 11 publications

(7 citation statements)

References 39 publications

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“…This study provides empirical support for the notion that tourists view department stores as offering a greater variety of goods (Parasakul, 2019). Our analysis of user-generated comments made by reviewers on TripAdvisor who had experienced both department stores and street markets suggests that shopping malls provide a wider variety of products and services and, in turn, generate a better tourist experience because the terms “great” and “variety” were found to have greater valence in shopping malls than in street markets.…”

Section: Discussionsupporting

confidence: 63%

“…Buying a souvenir with an imprinted name of the destination or that reflects the design of the location is another major shopping activity for tourists (Amaro et al , 2019). In Parasakul’s (2019) study, Chinese tourists reported positive feelings about shopping in department stores in Bangkok due to the quality of service and the variety and quality of the goods purchased. In turn, when reported by visitors, factors such as these motivate tourists to shop at shopping malls to fulfil the expectations they have concerning their shopping experience (LeHew and Wesley, 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

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Comparing shopping experiences in department stores and street markets: a big data analysis of TripAdvisor reviews

Phucharoen

Jarumaneerat

Sangkaew

2021

IJCTHR

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Purpose Based on big data analytical and statistical techniques, this study aims to examine tourists’ shopping experiences at department stores and street markets in Phuket. Design/methodology/approach A Naïve Bayes machine learning algorithm was used to identify the most frequently used terms in TripAdvisor reviews of both department stores and street markets contributed by the same pool of 729 tourists. Findings A total of 18 out of 62 terms used were common in reviews of both shopping settings. However, the study found significant differences in the mean use of the 18 common terms and the likelihood of those terms being used in overall positive reviews. Practical implications The study’s findings indicate differences in tourist shopping experiences at department stores and street markets. Several concrete recommendations are made, including a greater focus on the linkage to the national characteristic of street markets, and particularly the quality of local fruit, to enhance the tourist shopping experience. Originality/value Understanding the differences between shopping malls and street markets from the tourist’s perspective would further enhance the coexistence of shopping malls and street markets in tourism-led growth cities. As such, using reviews of both shopping malls and street markets from an identical pool of tourists, the present study will analyse and compare tourists’ actual shopping experiences, thereby addressing this gap in the research canon via integrated statistical and big data analysis techniques.

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Section: Discussionsupporting

confidence: 63%

Section: Literature Reviewmentioning

confidence: 99%

Comparing shopping experiences in department stores and street markets: a big data analysis of TripAdvisor reviews

Phucharoen

Jarumaneerat

Sangkaew

2021

IJCTHR

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“…(2015) used IPA to analyze the satisfaction of tourists visiting the Campania region in Italy. Parasakul (2019aParasakul ( , 2019b applied the IPA scheme to examine the satisfaction of international tourists and Chinese tourists with their shopping activities in Bangkok.…”

Section: Importance-performance Analysismentioning

confidence: 99%

“…The Y-axis represents the relative weights of the five Importance items relating to the tourists' decision making to choose to come to Thailand. The four quadrants are drawn based on the mean scores of the Importance and Performance ratings (Blešić, Popov-Raljić, Uravić, Stankov, Đeri, Pantelić, & Armenski, 2014;Chu & Choi, 2000;De-Nisco et al, 2015;Parasakul, 2019b). The mean Importance rating of the 5 dimensions was 3.64 and the mean Performance rating was 3.97.…”

Section: Importance-performance Analysis (Ipa) Gridmentioning

confidence: 99%

An Importance-performance Analysis of Chinese Tourists’ Perceived Risk in Thailand

Parasakul

2022

SUT J SOC SCI

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This research paper examined Chinese tourists’ perceived importance and performance risk in Thailand using an Importance-Performance Analysis (IPA). The factor analysis classified 24 risk attributes into 5 dimensions of risk: Social risk, Satisfaction risk, Service/performance risk, Physical risk, and Political/financial risk. The IPA grids illustrated that the Satisfaction risk fell into the Concentrate Here quadrant; Physical and Service/performance risks in the Keep Up the Good Work quadrant; Social risk in the Low Priority quadrant; and Political/financial risk in the Possible Overkill quadrant. Implications for tourism management, tourism planners and industry were discussed.

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“…Other articles focused on a single destination. They report that shopping experience is determined by several attributes: sales staff, service quality, and variety, quality and cultural representation of products in Thailand (Parasakul, 2020); store staff and shop environment in South Korea (Lee & Choi, 2020); and stores, payment methods, tour guides, and souvenir sellers in North Korea (Li & Ryan, 2018). Moreover, tourists' satisfaction has an impact on the post-visit attitude toward Britain .…”

Section: Shoppersmentioning

confidence: 99%

Chinese Outbound Tourism Segmentation: A Systematic Review and Research Agenda

Quer

Peng

2021

Journal of China Tourism Research

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The growth of Chinese outbound tourism over the past two decades is attracting great attention among researchers. After an initial stage where this market was analyzed as a whole, the number of studies focusing on segmentation is on the rise. This paper carries out a systematic review of 171 articles published between 1995 and 2020 in top-tier tourism journals that either focused on a specific segment or established segments of mainland Chinese outbound tourists. The literature review reports an analysis of publication outlets, chronological evolution, destinations, research methods, segments, and main findings. It also identifies research gaps and suggests potential future research avenues.

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Assessing Chinese Tourists’ Satisfaction with their Shopping Experiences in Bangkok Metropolis

Cited by 11 publications

References 39 publications

Comparing shopping experiences in department stores and street markets: a big data analysis of TripAdvisor reviews

Comparing shopping experiences in department stores and street markets: a big data analysis of TripAdvisor reviews

An Importance-performance Analysis of Chinese Tourists’ Perceived Risk in Thailand

Chinese Outbound Tourism Segmentation: A Systematic Review and Research Agenda

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