Exploring Customers’ Luxury Consumption in Restaurants: A Combined Method of Topic Modeling and Three-Factor Theory

2021 ◽  
pp. 193896552110376
Author(s):  
Wooseok Kwon ◽  
Minwoo Lee ◽  
John T. Bowen
Keyword(s):  
Topic Modeling ◽  
Service Management ◽  
Essential Elements ◽  
Luxury Consumption ◽  
Customer Reviews ◽  
Customer Perceptions ◽  
Asymmetry Analysis ◽  
Online Customer Reviews ◽  
Three Factor

This study explores customers’ perceptions and underlying factors related to luxury consumption in restaurants. Although many studies have explored customers’ consumption of luxury goods, very few of these studies involved luxury hospitality services. Furthermore, hospitality literature has rarely discussed the emerging identification of inconspicuous consumption in luxury. By applying topic modeling to analyze online customer reviews, the current study identifies the essential elements of visiting luxury restaurants. Moreover, it elicits the asymmetric role of the identified factors in accelerating overall customer satisfaction or dissatisfaction through impact-asymmetry analysis, which adopts the three-factor theory. Findings suggest that many inconspicuous factors exist in luxury consumption and that the mechanisms that affect satisfaction differ among a satisfier, a dissatisfier, and a hybrid. The acknowledgment of the asymmetric effects will help practitioners in luxury restaurants enhance their understandings of customer perceptions and efficiently improve service management and marketing.

Fraud abroad

2019 ◽  
Vol 13 (2) ◽  
pp. 249-275
Author(s):  
Jake David Hoskins ◽  
Ryan Leick
Keyword(s):  
Sharing Economy ◽  
Gdp Per Capita ◽  
Content Type ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Level Of Economic Development ◽  
Per Capita ◽  
Using Data ◽  
Developed Nations

Purpose This study aims to investigate a sharing economy context, where vacation rental units that are owned and operated by individuals throughout the world are rented out through a common website: vrbo.com. It is posited that gross domestic product (GDP) per capita, a common indicator of the level of economic development of a nation, will impact the likelihood that prospective travelers will choose to book accommodations in the sharing economy channel (vs traditional hotels). The role of online customer reviews in this process is investigated as well, building upon a significant body of extant research which shows their level of customer decision influence. Design/methodology/approach An empirical analysis is conducted using data from the website Vacation Rentals By Owner on 1,940 rental listings across 97 countries. Findings GDP per capita serves as risk deterrent to prospective travelers, making the sharing economy an acceptable alternative to traditional hotels for the average traveler. It is also found that the total number of online customer reviews (OCR volume) is a signal of popularity to prospective travelers, while the average star rating of those online customer reviews (OCR valence) is instead a signal of accommodation quality. Originality/value This study adds to a growing agenda of research investigating the effect of online customer reviews on consumer decisions, with a particularly focus on the burgeoning sharing economy. The findings help to explain when the sharing economy may serve as a stronger disruptive threat to incumbent offerings. It also provides the following key insights for managers: sharing economy rental units in developed nations are more successful in driving booking activity, managers should look to promote volume of online customer reviews and positive online customer reviews are particularly influential for sharing economy rental booking rates in less developed nations.

Automated Keyword Filtering in LDA for Identifying Product Attributes from Online Reviews

2020 ◽  
pp. 1-10
Author(s):  
Junegak Joung ◽  
Harrison M. Kim
Keyword(s):  
Product Design ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Online Reviews ◽  
Previous Method ◽  
Product Attributes ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Dirichlet Allocation

Abstract Identifying product attributes from the perspective of a customer is essential to measure the satisfaction, importance, and Kano category of each product attribute for product design. This paper proposes automated keyword filtering to identify product attributes from online customer reviews based on latent Dirichlet allocation. The preprocessing for latent Dirichlet allocation is important because it affects the results of topic modeling; however, previous research performed latent Dirichlet allocation either without removing noise keywords or by manually eliminating them. The proposed method improves the preprocessing for latent Dirichlet allocation by conducting automated filtering to remove the noise keywords that are not related to the product. A case study of Android smartphones is performed to validate the proposed method. The performance of the latent Dirichlet allocation by the proposed method is compared to that of a previous method, and according to the latent Dirichlet allocation results, the former exhibits a higher performance than the latter.

The Rise of Islamic Luxury

2021 ◽  
pp. 199-222
Author(s):  
Muhammed Bilgehan Aytaç
Keyword(s):  
Consumer Behavior ◽  
Conceptual Framework ◽  
Consumer Research ◽  
Essential Elements ◽  
Luxury Consumption ◽  
Muslim Population ◽  
Welfare Level ◽  
Current Trends ◽  
Islamic Countries

As one of the essential elements of culture, the role of religiosity in consumer behavior has long been established and number of consumer research on Muslim individuals has been increasing rapidly in recent years. With the rapid increase of the Muslim population and the developing welfare level of the Islamic countries, it is observed that Islamic luxury consumption has also become widespread too. In this chapter, it is aimed to determine the conceptual framework of Islamic luxury consumption together with current trends. Three halal concepts which are considered as include more explicit examples of Islamic luxury are chosen and analyzed: halal fashion, halal cosmetics, and halal tourism. Throughout the text and in the conclusion part, it is aimed to create insights for marketers who interested in Islamic luxury.

Online customer reviews and consumer evaluation: The role of review font

2018 ◽  
Vol 55 (4) ◽  
pp. 430-440 ◽  
Author(s):  
Yunhui Huang ◽  
Changxin Li ◽  
Jiang Wu ◽  
Zhijie Lin
Keyword(s):  
Consumer Evaluation ◽  
Customer Reviews ◽  
Online Customer Reviews

Predicting the helpfulness of online customer reviews: The role of title features

2018 ◽  
Vol 62 (3) ◽  
pp. 272-287 ◽  
Author(s):  
Mina Akbarabadi ◽  
Monireh Hosseini
Keyword(s):  
Prediction Model ◽  
Real Life ◽  
Online Reviews ◽  
Machine Learning Techniques ◽  
Customer Reviews ◽  
Learning Techniques ◽  
Online Customer Reviews ◽  
Importance Analysis ◽  
Review Helpfulness

Nowadays, many people refer to online customer reviews that are available on most shopping websites to make a better purchase decision. An automated review helpfulness prediction model can help the websites to rank reviews based on their level of helpfulness. This study examines the effect of review title features on predicting the helpfulness of online reviews. Moreover, a new method is proposed to categorize action verbs in a review text. Text, reviewer, readability, and title features are the four main categories that are used in this article. We examine our proposed prediction model on two real-life Amazon datasets using machine learning techniques. The results show a promising performance of the model. However, feature importance analysis reveals the low importance of title features in the predictive model. It means that the title characteristics cannot be a powerful determinant of online review helpfulness. The results of this study can be beneficial to both buyers and website owners to have a deep insight into online reviews helpfulness.

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