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

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.

Sentimen Analisis Customer Review Produk Shopee Indonesia Menggunakan Algortima Naïve Bayes Classifier

Gaining customer satisfaction and trust has become the main challenge in achieving success in the business world. Business people need to identify problems that arise from reviews given by customers. However, reading and classifying each review takes a long time and is considered ineffective. To overcome this, this study aims to analyze the customer sentiment of shopee products using the nave Bayes classifier algorithm. The data used in this study is a customer review of the Xiaomi Redmi Note 9 products which are sold on the Shopee Indonesia website. Customer review data is collected by applying the Web Scraping technique. The algorithm used in this study is the Naïve Bayes Classifier which is known to be popular and effective in classifying data. This study also applies the Knowledge Discovery in Text (KDT) methodology to extract information from text data. The results of the classification using the Naïve Bayes algorithm found an accuracy value of 85%. This study proves that by applying sentiment analysis techniques, business people are able to find out the opinions of customers as an evaluation material that needs to be done to optimize the products and services provided.

A NETNOGRAPHY EXAMINATION OF TRIPADVISOR REVIEWS: A CASE STUDY OF THE ST REGIS HOTEL KUALA LUMPUR

There has been a growing reliance on consumer generated content as a source of knowledge for hospitality product decision-making. People post their views, ratings, and reviews of products and services on such platforms, and companies and research organizations are interested in analyzing and extracting all of the comments. It is critical for hotels to take advantage of online customer review information in order to better understand their customers and enhance hotel efficiency. However, analyzing guest reviews is challenging as it contains abundance of data. Using The St Regis Kuala Lumpur as a case study, the objective of the paper is to profile the hotel online reviews using a Netnography approach, identify the hotel attributes that guest comment based on the hotel online reviews and examine the guest satisfaction attitude based on the hotel online reviews. A total of 388 reviews from TripAdvisor were collected. The findings revealed that most of the hotel guests who left comments were international tourists, and couples. Many of whom left excellent ratings for the hotel. The findings show there are nine attributes that are frequently mentioned namely, amenities, location, price, service, cleanliness, food and beverages, hotel and room environment. The results also show that guests left both positive and negative reviews in few common categories such as hotel cleanliness, hotel environment and amenities. Among all the attributes mentioned, satisfied guests tended to leave positive comments for things like hotel cleanliness, hotel and room environment, while dissatisfied guests emphasised the amenities or the lack thereof. The findings of this study make several theoretical and managerial inferences with regards to identifying hotel attributes that contribute to guest satisfaction and improves the understanding of what satisfies and dissatisfies guests from the comments left by the guests on TripAdvisor. The paper concludes with limitations and suggests future research.

Eagle Hemp CBD Gummies Shark Tank (Scam Or Legit 2021) Ingredients vs Side Effects Exposed Customer Review! v1

Eagle Hemp CBD Gummies Shark Tank Cost is one such dietary enhancement. It is a characteristic healthful enhancement.

Celebrity Endorser, Online Customer Review, Online Customer Rating Terhadap Keputusan Pembelian dengan Kepercayaan Sebagai Variabel Intervening pada Marketplace Tokopedia

Secara garis besar penelitian ini bertujuan untuk mengetahui pengaruh Celebrity Endorser, Online Customer Review dan Online Customer Rating secara parsial terhadap Keputusan Pembelian, Pengaruh Celebrity Endorser, Online Customer Review, dan Online Customer Rating secara parsial terhadap Trust, Pengaruh Keputusan Pembelian terhadap Trust, Celebrity Endorser Terhadap Keputusan Pembelian Melalui Trust, Pengaruh Online Customer Review Terhadap Keputusan Pembelian Melalui Trust dan Pengaruh Online Customer Rating Terhadap Keputusan Pembelian Melalui Trust. Populasi dalam penelitian ini adalah seluruh pengguna Tokopedia yang pernah melakukan pembelian di Tokopedia. Penentuan sampel menggunakan metode incidental sampling, dengan teknik pengambilan sampel menggunakan rumus Lameshow' sehingga diperoleh 100 responden. Metode pengumpulan data yang digunakan adalah kuesioner. Metode analisis yang digunakan dalam penelitian ini adalah uji deskriptif, uji kualitas data, uji asumsi klasik, analisis jalur dan uji hipotesis. Hasil analisis dalam penelitian ini menunjukkan bahwa Celebrity Endorser secara parsial berpengaruh signifikan terhadap Keputusan Pembelian, secara parsial Online Customer Review berpengaruh signifikan terhadap Keputusan Pembelian. Online Customer Rating secara parsial berpengaruh signifikan terhadap Keputusan Pembelian. Kepercayaan Parsial berpengaruh signifikan terhadap Keputusan Pembelian. Kepercayaan tidak mampu menengahi antara Celebrity Endorser, Online Customer Review dan Online Customer Rating pada niat beli. Berdasarkan hasil penelitian, Tokopedia diharapkan dapat terus meningkatkan Keputusan Pembelian dengan memperhatikan faktor-faktor yang mendukung dan mendukung Celebrity Endorser, Online Customer Review, dan Online Customer Rating. .

Do Hedonic or Utilitarian Types of Online Product Reviews Make Reviews More Helpful?

Online sales can be influenced significantly by customer reviews, and thus there are several studies on what makes an online review helpful to consumers. However, none of those researches address the review helpfulness in the context of hedonic and utilitarian review types. This study examines how product type (hedonic and utilitarian) moderates the relationship between the level of review type (hedonicity and utilitarianity) and review helpfulness. To test the moderating effects, customer review data for perfume and bar soap product was collected from Amazon.com and analyzed by using a text-mining tool (QDA Miner) and a structural equation modeling software (AMOS 22.0). The results of this study indicate that the product type moderates the impact of the review type on review helpfulness when product type and review type are incongruent. Further, results show that the number of sentences in a customer review affects the review helpfulness when product type is utilitarian.

Do Hedonic or Utilitarian Types of Online Product Reviews Make Reviews More Helpful?

Online sales can be influenced significantly by customer reviews, and thus there are several studies on what makes an online review helpful to consumers. However, none of those researches address the review helpfulness in the context of hedonic and utilitarian review types. This study examines how product type (hedonic and utilitarian) moderates the relationship between the level of review type (hedonicity and utilitarianity) and review helpfulness. To test the moderating effects, customer review data for perfume and bar soap product was collected from Amazon.com and analyzed by using a text-mining tool (QDA Miner) and a structural equation modeling software (AMOS 22.0). The results of this study indicate that the product type moderates the impact of the review type on review helpfulness when product type and review type are incongruent. Further, results show that the number of sentences in a customer review affects the review helpfulness when product type is utilitarian.