Influence of Online Review and Rating System towards Consumer Preferences in Hospitality Sector

Tantrabundit, Pongsatorn; Jamrozy, Ute

doi:10.33423/jbd.v18i4.248

Cited by 3 publications

(1 citation statement)

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“…Analyzing the factors that determine consumer preferences helps businesses target their products towards specific consumer groups, develop new products and identify why some products are more successful than others. Advertising (Daniel, 2019), brand image (Isik and Yasar, 2015), country of origin (Ismail, Masood, and Tawab, 2012), online review (Tantrabundit and Jamrozy, 2018), price (Lavanya, 2014), and product characteristic (Wartaka, 2016) are some factors that can influence consumer preference in choosing a product or services…”

Section: Figure 1 Best Selling Beauty Product Data In E-commerce (In ...mentioning

confidence: 99%

Consumer Preference of Skincare Product Using Analytical Hierarchy Process (Ahp)

Suhadi,

Tulung,

Gunawan

2023

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According to Indonesia’s Digital Marketing Association, Wardah, Nature Republic, Innisfree product are on the top 3 best beauty product in Indonesia. Brand ambassador, brand image, country of origin, online review and product packaging are some factors that can influence consumer preference in choosing a product or services. This research aims to know which criteria is most important for customer in selecting beauty brand and to know the most preferable beauty brand in Manado. This research used analytical hierarchy process with total sample 60 respondents which are citizen in Manado. The result shows that there are top three criteria that has the most influence for consumer preference of beauty brand product which are brand image, price, and online review. The rest criteria that are brand ambassador, country of origin and product packaging are not the main things that influence the consumers. Every beauty brand company need to pay attention seriously toward these factors. The result also shows that Wardah become the most preferable beauty brand by the consumer, followed by Nature Republic, and Innisfree in the last place. Innisfree should improve their performance in every sector especially in the criteria that most influence the customers’ preference. Keywords: marketing, consumer behavior, consumer preference

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Section: Figure 1 Best Selling Beauty Product Data In E-commerce (In ...mentioning

confidence: 99%

Consumer Preference of Skincare Product Using Analytical Hierarchy Process (Ahp)

Suhadi,

Tulung,

Gunawan

2023

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Historical credibility for movie reviews and its application to weakly supervised classification

Kim

Lim

Shin

et al. 2023

Information Sciences

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Local food experiences before and after COVID-19: a sentiment analysis of EWOM

POYOI,

GASSIOT-MELIAN,

COROMINA

2023

Tour. hosp. manag.

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Purpose – To use Natural Language Processing (NLP) to explore how people feel and what they share online about their experiences with food. In addition, to learn how these experiences have evolved recently, differences before and during the crisis COVID -19 will be explored. Methodology/Design/Approach – A total of 35,001 reviews of restaurants and local cuisine establishments near tourist attractions in the city of Ayutthaya, Thailand, were extracted from the Google Local Guide platform. Several NLP techniques were used to analyse the text data, including sentiment analysis, word cloud analysis, and the N-gramme model. Findings – The results reveal travellers’ hidden sentiments toward dining experiences. Key attributes of experience sharing related to food activities in online reviews were identified both before and after COVID -19. From a theoretical perspective, the findings are relevant for researchers to recognise tourists’ behaviour in sharing local food experiences. From a practical perspective, decision makers will have a better understanding of tourist behaviour to develop and implement appropriate strategies. Originality of the research – This study is the first to analyse and interpret online reviews on Google Maps platform by applying text mining and sentiment analysis in gastronomic tourism research, especially in the context of COVID -19.

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Influence of Online Review and Rating System towards Consumer Preferences in Hospitality Sector

Cited by 3 publications

References 0 publications

Consumer Preference of Skincare Product Using Analytical Hierarchy Process (Ahp)

Consumer Preference of Skincare Product Using Analytical Hierarchy Process (Ahp)

Historical credibility for movie reviews and its application to weakly supervised classification

Local food experiences before and after COVID-19: a sentiment analysis of EWOM

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