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Vidyashankar, G.
- Online Review Characteristics and Information Asymmetry
Is it easy to switch between Online Shopping sites? A Case Study of Reviews from Amazon and Flipkart
Is it easy to switch between Online Shopping sites? A Case Study of Reviews from Amazon and Flipkart
Abstract Views :301 |
PDF Views:88
Authors
Affiliations
1 Research Scholar, Department of Management Studies, Pondicherry University, Pondicherry – 605 014, IN
2 Chief Executive Officer, Only Success Leadership Academy Private Limited, Chennai – 600 024, Tamil Nadu, IN
3 Professor, Department of Management Studies, Pondicherry University, Pondicherry – 605 014, IN
4 Professor, Department of Management Studies, Manonmaniam Sundaranar University, Tirunelveli – 627 012, Tamil Nadu, IN
5 Associate Professor, Department of Management Studies, Pondicherry University, Pondicherry – 605 014, IN
1 Research Scholar, Department of Management Studies, Pondicherry University, Pondicherry – 605 014, IN
2 Chief Executive Officer, Only Success Leadership Academy Private Limited, Chennai – 600 024, Tamil Nadu, IN
3 Professor, Department of Management Studies, Pondicherry University, Pondicherry – 605 014, IN
4 Professor, Department of Management Studies, Manonmaniam Sundaranar University, Tirunelveli – 627 012, Tamil Nadu, IN
5 Associate Professor, Department of Management Studies, Pondicherry University, Pondicherry – 605 014, IN
Source
SDMIMD Journal of Management, Vol 12, No 1 (2021), Pagination: 27-39Abstract
Consumer characteristics and store attributes decide the store choice decision of consumers. To facilitate the switching process, physical formats create identical layout structures, shelf designs, staffing and billing desk. In similar lines, online stores also create features like similar website characteristics like the menu, creating shopping basket options, comparing product and billing process. Similar to Word-of-Mouth (WOM), online stores encourage and facilitate electronic Word-of-Mouth (eWOM) communications through Online Consumer Reviews (OCR) in their websites. Many online buyers use the reviews of others, social media content and blogs in their decision process. To understand the distribution characteristics of the online reviews, in this research work, we analyze the online review from Amazon and Flipkart for the masks and sanitizers. In a review, star rating, review length and helpfulness of a review are visual characteristics that communicate the content faster than words and no research works compare their variation between two online sellers. We prove that there are significant differences exist in the distribution of review characteristics between the online retailers’ reviews. Two websites reviews vary in terms of star rating, review length and helpfulness votes. There are variations between Amazon and Flipkart reviews in general, and differences are observed in their brands sold also. Since the review characteristics and their distributions are unknown, this information asymmetry creates constraints for store switching behavior of online consumers.Keywords
COVID19, eWOM, Information Asymmetry, Online Consumer Reviews, Online Store ChoiceFull Text
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- Consumers Sentiment Analysis - A Comparison of PLBs, National and MNCs Brands
Abstract Views :172 |
PDF Views:94
Authors
Affiliations
1 Professor in the Department of Management Studies, Pondicherry University, IN
2 Chief Executive Officer, Only Success Leadership Academy Private Limited, Ashok Nagar, Chennai, IN
3 Associate Professor, VIT Business School, Vellore Institute of Technology, Vellore, IN
4 Assistant Professor, Department of Management Studies, Pondicherry University, IN
5 Professor, Department of Management Studies, Manonmaniam Sundaranar University, Tirunelveli, IN
1 Professor in the Department of Management Studies, Pondicherry University, IN
2 Chief Executive Officer, Only Success Leadership Academy Private Limited, Ashok Nagar, Chennai, IN
3 Associate Professor, VIT Business School, Vellore Institute of Technology, Vellore, IN
4 Assistant Professor, Department of Management Studies, Pondicherry University, IN
5 Professor, Department of Management Studies, Manonmaniam Sundaranar University, Tirunelveli, IN
Source
Review of Professional Management- A Journal of New Delhi Institute of Management, Vol 19, No 1 (2021), Pagination: 58-79Abstract
Researchers and marketers investigate the consumer review data available from social media, blogs and product websites. The research is helpful to identify the market segments and add insights on online consumer behavioural characteristics. In this research, we compare consumer sentiments across the private label, national and MNC brands. To compute the level of consumer sentiment, we collect online consumer reviews from a product review website using text mining and assign a sentiment score for each review. The scores are compared for the private label brands (PLBs) vis-à-vis national and MNC brands. In addition, to broaden the understanding of PLBs, we compare online consumer reviews for regular as well as organic brands. The results show that PLBs have higher sentiment scores than national and MNC brands. In the comparison of regular and organic products, the sentiment scores are significantly higher for PLBs than national and MNC brands. Except for the organic beverages, the sentiment scores are better for the PLBs. The findings establish that PLBs' performance is better in the product categories studied. The results suggest that PLBs can be considered as a position defence strategy for retail chains and super/hypermarkets to tackle competition.Keywords
Sentiment Analysis, Organic Products, Private Label Brands, eWOM, Text Analytics.Full Text