scholarly journals ARTI PENTING TINGKAT KEPUASAN PARA PELANGGAN DAN PEMANFAATAN ULASAN DARING

2018 ◽  
Author(s):  
Dewanta Fachrureza
Keyword(s):  
Customer Satisfaction ◽  
Online Reviews ◽  
Online Review ◽  
Hotel Management ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Front Office

<p>ABSTRACT</p><p>This research departs from the curiosity of researchers to find out the extent to which online customer reviews are used at the Ritz Carlton hotel, because hotel management responds well even to the extraordinary in responding to online customer reviews, especially from TripAdvisor. The purpose of this study is to develop and understand the extent to which online review customer reviews are used from TripAdvisor to the department of the front office at the Ritz Carlton Hotel Jakarta. Conclusions from this study are important for hotels to maintain and improve the level of customer satisfaction to improve the quality of hotel services. The researcher also gave several suggestions which stated that there must be a position of work that is responsible for ensuring that all online reviews will be answered and evaluated. In addition, the hotel must invite more guests to comment on TripAdvisor.<br />Keywords: Customer, Customer Satisfaction, Online Review, Front Office Department</p>

Does the length of a review matter in perceived helpfulness? The moderating role of product experience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Han Jia ◽  
Sumin Shin ◽  
Jinfeng Jiao
Keyword(s):  
Online Reviews ◽  
Product Type ◽  
Online Review ◽  
Content Type ◽  
Level Of Involvement ◽  
Customer Reviews ◽  
Product Experience ◽  
Online Customer Reviews ◽  
Review Helpfulness ◽  
Product Ratings

PurposeThis paper aims to offer a framework explaining how product experience (i.e. think vs feel) and product involvement (high vs low) influence the helpfulness of online reviews. It also reexamined how online consumer review dimensions help to build online review helpfulness under different contexts.Design/methodology/approachData were collected using content analysis on 1,200 online customer reviews on 12 products from four categories to measure the relationships between online review dimensions and the helpfulness of reviews. The regression analysis and analysis of variance (ANOVA) were used to test the hypotheses.FindingsThe findings indicate that the effectiveness of length of a review is moderated by product type; for think products, longer reviews yield higher helpfulness. Furthermore, the level of consistency between individual review ratings and overall product ratings is associated with review helpfulness. The length of product descriptions and product ratings is moderated by the level of involvement. For products with high involvement, longer descriptions yield higher helpfulness.Originality/valueA conceptual connection to customer interaction is proposed by online customer reviews that vary by product type. The findings provide implications for online retailers to better manage online customer reviews and increase the value of product ratings.

Study of E-Commerce Customer Review Capturing Process in the Indian Context

2022 ◽  
pp. 79-93
Author(s):  
Som Sekhar Bhattacharyya ◽  
Asmita Wani
Keyword(s):  
Research Work ◽  
Online Reviews ◽  
Point Of View ◽  
Online Review ◽  
Exploratory Research ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Customer Review ◽  
Depth Interviews ◽  
Potential Customers

Online customer reviews provided by customers on e-commerce sites who had bought the products proved to be a key parameter. New and potential customers at the pre-purchase stage to vet the merits and demerits before buying new products listed on e-commerce sites referred to online customer reviews. However, there have been very few studies that focused on online customer review capturing process. Thus, this research work focused on the review capturing process of e-commerce websites from a customer's point of view to understand the online customer review process. A qualitative exploratory research was carried out. An open-ended semi-structured questionnaire was used to understand customer's stand on the e-commerce review capturing process. In-depth interviews were collected from customers. The data was analyzed thematic content. The study findings indicated what motivated customers to write online reviews, what inhibited them from writing reviews and what were their suggestions for the managers of e-commerce organizations towards designing better online review capturing.

Examining the Relevance of Online Customer Textual Reviews on Hotels’ Product and Service Attributes

2018 ◽  
Vol 43 (1) ◽  
pp. 141-163 ◽  
Author(s):  
Xun Xu
Keyword(s):  
Customer Satisfaction ◽  
Semantic Analysis ◽  
Statistical Tests ◽  
Online Reviews ◽  
Priority Rules ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Physical Setting ◽  
Independent Hotels ◽  
A Chain

Online reviews left by guests have business value in terms of understanding customers’ perceptions of hotels’ product and service attributes. By focusing on customers’ textual reviews through a text-mining approach (specifically, latent semantic analysis) and statistical tests, this study examined and compared the relevance of core attributes with customer satisfaction and dissatisfaction for both chain and independent hotels of various star levels. We found that the attributes of products and services—including staff, physical setting, value, and location—have different effects on customer satisfaction or dissatisfaction for chain and independent hotels, and for hotels with different star levels. Based on these findings, we concluded that a given hotel’s status as either an independent or a chain establishment and its star-level play a role in influencing the importance of product and service attributes for customers. Our study helped hotels in different market segments understand customers’ different needs as they relate to each attribute of the hotel’s products and services. Hoteliers can use this information to set priority rules for improving the corresponding attributes and use the generated electronic word-of-mouth effect from online customer reviews to enhance their performance.

Customer Online Feedback with an Identity Versus No Identity: The Influence on Review Comments

2021 ◽  
pp. 109634802098888
Author(s):  
Dan Jin ◽  
Robin B. DiPietro ◽  
Nicholas M. Watanabe
Keyword(s):  
Online Community ◽  
Online Reviews ◽  
Purchasing Behavior ◽  
Mediation Effects ◽  
Driven Systems ◽  
Customer Reviews ◽  
Significant Difference ◽  
Online Feedback ◽  
The Relationship

As customers’ consumption is increasingly dominated by technology-driven systems, online self-verification becomes an important aspect of customers’ online purchasing behavior and plays a significant role in shaping social interactions in the online community. Across two studies, we examine whether online self-verification with an identity versus without an identity will lead to the different quality of online reviews. Study 1 used topic modeling with actual data stripped from Facebook and TripAdvisor customer online review sites and showed no difference between customer reviews underpinned with an identity or without. Likewise, Study 2 used an experimental design and found no significant difference between customer reviews with or without an identity. However, significant mediation effects of social ties and social capital were found when measuring the relationship between online self-verification and customer reviews. The findings build on the literature of user-generated online reviews and have important implications for academics and hospitality practitioners.

scholarly journals Research on the Influence of E-commerce service quality of fresh Agricultural products on customer satisfaction

2020 ◽  
Vol 189 ◽  
pp. 01022
Author(s):  
Xu xin ◽  
Chen jiaying
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Significant Influence ◽  
Online Reviews ◽  
Service Level ◽  
Competitive Advantages ◽  
Web Crawler ◽  
Evaluation Indexes ◽  
Healthy Development

Analyzing the influence of service quality on customer satisfaction can help fresh e-commerce enterprises to better understand their own service level, formulate better service strategies and improve their competitive advantages, so as to promote the sustainable and healthy development of fresh e-commerce industry. In this paper, first of all, with the aid of web crawler, acquisition of jingdong mall fresh category contains fruit, vegetables, meat and seafood aquaculture 4 products on the number of online comments and evaluation star, and word frequency statistics and extract the data collected from online reviews of consumers to pay attention to the quality of service measures, after using qualitative analysis software - NVivo coding and grade, finally, the variable of descriptive statistics, correlation analysis and regression analysis. The results show that the tangibility, reliability, empathy and responsiveness of service quality have significant influence on customer satisfaction, and other evaluation indexes of guarantee quality have significant influence on customer satisfaction except delivery.

scholarly journals Analisis Pengaruh E-WOM, Online Review, dan Kualitas Informasi terhadap Minat Beli di Market Place Tokopedia

Prologia ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 127
Author(s):  
Julian Andrew ◽  
Rezi Erdiansyah
Keyword(s):  
Information Quality ◽  
Word Of Mouth ◽  
Online Reviews ◽  
Online Review ◽  
Electronic Word Of Mouth ◽  
Market Place ◽  
Purposive Sampling ◽  
Additional Information ◽  
Data Collection Technique

As the people's shopping habits via online starts to emerge, the e-commerce industry in Indonesia has also developed. In 2018, it was noted that 11.9% of Indonesian people were shopping online. However, in the midst of the vastness of online platforms with millions of items found in online storefronts, consumers need more information as their reference to arousing buying interest. As one of the biggest e-commerce players in Indonesia, Tokopedia provides features that enable sellers and consumers to exchange information regarding the items. In Tokopedia, prospective buyers can see electronic word of mouth messages, online reviews, and other additional information about the items that are known to be very influential in generating buying interest. This study uses a quantitative approach with an explanatory type in which the research seeks to find the effect of electronic word of mouth, online review, and the quality of information on buying interest of Jakarta students in Tokopedia e-commerce. The data collection technique used was purposive sampling by distributing questionnaires to 100 samples via online. Based on this research’s results, it was found that electronic word of mouth, online review, and information quality affect buying interest of students in Jakarta by 46% while the other 54% were influenced by other factors not examined in this study.Seiring dengan munculnya kebiasaan berbelanja masyarakat melalui online, industri e-commerce di Indonesia pun turut berkembang. Pada tahun 2018, tercatat bahwa sebanyak 11,9% orang di Indonesia melakukan kegiatan belanja secara online. Namun, di tengah luasnya platform online dengan jutaan barang yang terdapat di etalase online membuat konsumen membutuhkan informasi yang lebih sebagai bahan referensi dalam menimbulkan minat beli. Tokopedia merupakan pelaku e-commerce terbesar di Indonesia menyediakan fitur-fitur yang memungkinkan penjual dan konsumen untuk menulis dan bertukar informasi seputar barang tersebut. Di dalam Tokopedia, para calon pembeli dapat melihat pesan electronic word of mouth, online review, dan informasi-informasi tambahan lainnya seputar barang-barang yang dijual yang diketahui sangat berpengaruh dalam memunculkan minat beli. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis eksplanatif dimana penelitian berusaha menemukan pengaruh e-WOM, kualitas informasi, dan online review terhadap minat beli mahasiswa Jakarta pada e-commerce Tokopedia. Teknik pengumpulan data yang digunakan adalah purposive sampling dengan menyebarkan kuesioner kepada 100 sampel secara online. Penelitian menemukan bahwa electronic word of mouth, online review, dan kualitas informasi berpengaruh terhadap minat beli pada mahasiswa di Jakarta sebanyak 46%, sedangkan 54% dipengaruhi oleh faktor-faktor lain yang tidak diteliti pada penelitian ini.

Determining banking service attributes from online reviews: text mining and sentiment analysis

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Divya Mittal ◽  
Shiv Ratan Agrawal
Keyword(s):  
Text Mining ◽  
Customer Satisfaction ◽  
Sentiment Analysis ◽  
Banking Sector ◽  
Online Reviews ◽  
Socioeconomic Background ◽  
Content Type ◽  
Customer Reviews ◽  
Banking Service ◽  
The Interest Rate

PurposeThe current study employs text mining and sentiment analysis to identify core banking service attributes and customer sentiment in online user-generated reviews. Additionally, the study explains customer satisfaction based on the identified predictors.Design/methodology/approachA total of 32,217 customer reviews were collected across 29 top banks on bankbazaar.com posted from 2014 to 2021. In total three conceptual models were developed and evaluated employing regression analysis.FindingsThe study revealed that all variables were found to be statistically significant and affect customer satisfaction in their respective models except the interest rate.Research limitations/implicationsThe study is confined to the geographical representation of its subjects' i.e. Indian customers. A cross-cultural and socioeconomic background analysis of banking customers in different countries may help to better generalize the findings.Practical implicationsThe study makes essential theoretical and managerial contributions to the existing literature on services, particularly the banking sector.Originality/valueThis paper is unique in nature that focuses on banking customer satisfaction from online reviews and ratings using text mining and sentiment analysis.

eWOM

2019 ◽  
pp. 143-173 ◽  
Author(s):  
Juan Pedro Mellinas ◽  
Sofía Reino
Keyword(s):  
Information Overload ◽  
Online Reviews ◽  
Influential Factors ◽  
Online Review ◽  
Hotel Management ◽  
Crucial Aspect ◽  
New Approach ◽  
Tourism Professionals ◽  
Hotel Managers ◽  
Dynamic Relationships

It is difficult to find a traveler who has not written and/or read an online review at any stage of their travel. Most people will not book a hotel if this has no reviews and/or will not choose a destination before reading some opinions from other users. Tourism professionals can gain a comprehensive understanding of the dynamic relationships and key influential factors which are relevant to online reviews. A single business can have thousands of reviews. This creates a situation of information overload for hotel managers, who encounter themselves with increasingly larger numbers of information to analyze and act upon. The ability to effectively analyze data, using in occasions dedicated software becomes a crucial aspect of hotel management. The chapter ends with a reflection on how eWOM is leading to the generation of a new approach to business management.

scholarly journals Online Review Solicitations Reduce Extremity Bias in Online Review Distributions and Increase Their Representativeness

2020 ◽  
Author(s):  
Hülya Karaman
Keyword(s):  
Past Research ◽  
Third Party ◽  
Online Review ◽  
Customer Reviews ◽  
Average Decrease ◽  
Online Word Of Mouth ◽  
Online Customer Reviews ◽  
Internet Economy ◽  
Online Ratings ◽  
Extreme Distribution

Representative online customer reviews are critical to the effective functioning of the Internet economy. In this study, I investigate the representativeness of online review distributions to examine how extremity bias and conformity impact it and explore whether online review solicitations alter representativeness. Past research on extreme distribution of online ratings commonly relied solely on observed public online ratings. One strength of the current paper is that I observe the private satisfaction ratings of customers regardless of whether they choose to write an online review or not. I show that both extremity bias and conformity exist in unsolicited online word-of-mouth (WOM) and introduce online review solicitations as a mechanism that can partially de-bias ratings. Solicitations increase all customers’ engagement in online WOM, but if solicited, those with moderate experiences increase their engagement more than those with extreme experiences. Consequently, although extremity bias still exists in solicited online WOM, solicitations significantly increase the representativeness of rating distributions. Surprisingly, the results demonstrate that without conformity, unsolicited online WOM would be even less representative of the original customer experiences. Furthermore, I document that both solicited and unsolicited reviews equally overstate the average customer experience (compared with average private ratings) despite stark differences in their rating distributions. Finally, I establish that solicitations for reviews on the company-owned website, on average, decrease the number of one-star reviews on a third-party review platform. This paper was accepted by Eric Anderson, marketing.

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