The Value of Descriptive Analytics: Evidence from Online Retailers

2020 ◽  
Author(s):  
Ron Berman ◽  
Ayelet Israeli
Keyword(s):  
Online Retailers

A Study on Online Buying Behaviour of Consumers at Bhopal

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Arun Mishra ◽  
Dr. P. K. Chopra
Keyword(s):  
Young Generation ◽  
Small Cities ◽  
Demand And Supply ◽  
Goods And Services ◽  
Tier Ii ◽  
Product Pricing ◽  
Online Retailers ◽  
Youth Population ◽  
Buying Behaviour ◽  
Online Buying

Internet and its growing usage by young generation in India have changed the way consumers shop and buy goods and services. The Indian retail market is witnessing a revolution i.e. young consumers are playing important role in online shopping and looking towards Internet as a unique platform for selling online. In India the visitors of e-tailing sites are accounted to be 40% of youth population, which comprises of youngsters between 15 to 34 years of age. These visitors are part of Indian Internet Population. Not only metros but tier II and III cities are also attracting online retailers. Brand awareness and gap in demand and supply are the main reasons for popularity of online retailers in small cities like Bhopal in India. The study focuses on factors that online buyers consider while shopping online. Some of the factors identified in this research are; scarcity of time with the buyer, availability of payment options like COD, variety of products availability, product pricing, discounts and offers etc. The data is collected using a questionnaire on the sample of 100 people in the age bracket of 15 to 60 years and percentage analysis is done for analyzing the collected data.

Inducing Website Design Innovation towards Customer Loyalty

2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Noorriati Din ◽  
Lennora Putit ◽  
Muhammad Naqib Mohd Noor
Keyword(s):  
Customer Loyalty ◽  
Graphic Design ◽  
Publishing House ◽  
Web Design ◽  
Social Cues ◽  
Website Design ◽  
Online Retailers ◽  
Design Attributes ◽  
Online Shoppers ◽  
International Publishing

Having an attractive and innovative web design could serve as a basis for both offline and online retailers to provide detailed information towards satisfying potential buying intention amongst online shoppers, and subsequently contribute traffic flow to the intended website. This study revealed that both graphic design and social cues attributes were found to have a positive and significant relationship with customer loyalty. Given the valuable experience to the site, the aim of this study is to investigate the extent to which website design attributes affects customer loyalty towards a particular brand or product.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies, Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, MalaysiaKeywords: Website design; social cue design; grahic design; customer loyalty

Online Retail Service Quality: Scale Development and Validation

2021 ◽  
pp. 097226292110112
Author(s):  
Biranchi Narayan Swar ◽  
Rajesh Panda
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Measurement Scale ◽  
Future Research ◽  
Market Place ◽  
Online Retail ◽  
Online Retailers ◽  
Retail Service ◽  
Retail Service Quality

The growth of online retailing has created an opportunity to create a scale specifically for online retail services. At the same time, the increasing rate of internet penetration in India coupled with electronic banking and wallets has formed new market place for many online retailers. In this context, to gain competitive advantage, the online retailers should provide better service quality. Thus, the present research tries to know the various constructs of retail service quality (RSQ) in online format and develop a measurement scale. The study has borrowed the constructs from ‘Retail Service Quality’ (RSQ) and ‘Technology Acceptance Model’ (TAM). For this purpose, we collected data from 600 respondents. The scale has been confirmed and validated by using CFA. The study confirmed that online RSQ (ORSQ) scale consists of four constructs: ‘Ease of Use’, ‘Problem Solving’, ‘Policy’ and ‘Reliability’ with 18 variables. The article has concluded and validated a scale for ORSQ which can help the online retailers to design their service offering. The implications of the ORSQ scale for practitioners, as well as for future research, are discussed in this article.

Impact of Quality of Unfamiliar Shopping App on Initial Trust Formation: A Moderated Mediation of Risk Attitude

2021 ◽  
pp. 097226292098454
Author(s):  
Vipul Patel ◽  
Richa Pandit
Keyword(s):  
Information Search ◽  
Purchase Intention ◽  
Risk Attitude ◽  
Moderated Mediation ◽  
Primary Concern ◽  
Initial Trust ◽  
Trust Formation ◽  
Online Retailers ◽  
The Impact

Today, all phases of consumers' buying process from pre-information search, evaluation of alternatives, order placing and post-purchase service are conducted in shopping apps installed in smartphones. A shopping app is omnipresent and is a powerful retail channel for retailers all over the world. However, the primary concern for many customers is that online shopping is not secure. This insecurity is more if customers have to purchase from an unfamiliar shopping app. Customers generally hesitate to purchase using unfamiliar shopping apps, unless they feel that the app is trustworthy. Based on the survey of 264 respondents, this study attempts to measure the impact of the quality of unfamiliar shopping apps on initial trust formation and subsequently, purchase intention. An attempt was also made to study the moderated mediation impact of risk attitude on the relationship between shopping app quality and initial trust formation. The findings of this paper may be of practical use for the online retailers by providing a better understanding of the adoption of unfamiliar shopping apps among prospective customers. It will also provide strategic inputs to online retailers to craft suitable strategies for the adoption of unfamiliar shopping apps.

scholarly journals An Empirical Study of Holiday Season Discounts: A Comparison Between Third-Party Marketplace Sellers and Fulfilled by Walmart Sellers

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110241
Author(s):  
Ya-Ling Chiu ◽  
Yuan-Teng Hsu ◽  
Xiaoyu Mao ◽  
Jying-Nan Wang
Keyword(s):  
Empirical Study ◽  
Third Party ◽  
Purchasing Decisions ◽  
Product Categories ◽  
Price Discounts ◽  
Online Retailers ◽  
Holiday Season ◽  
Over Time

When online retailers allow third-party sellers to place certain products on their platforms, these sellers become not only collaborators but also competitors. The purpose of this study is to compare the differences in price discounts between Third-Party Marketplace (3PM) sellers and Fulfilled by Walmart (FBW) sellers on Walmart.com over time. The results, based on data collected in the form of the daily prices of 54,162 products offered by Walmart during the holiday season, show that the average discount for 3PM sellers is significantly lower than that for FBW sellers. In addition, across product categories, FBW sellers had significantly higher average discounts than 3PM sellers in the electronics, housewares, and toys categories. Furthermore, the level of discount began to increase in early November and peaked around Christmas. Our findings may help retailers manage their dealings with these third-party sellers while also helping consumers to optimize their purchasing decisions.

scholarly journals Ethics of Retailers and Consumer Behavior in E-Commerce

2020 ◽  
Vol 11 (1) ◽  
pp. 107-126
Author(s):  
Zhi Yang ◽  
Quang Van Ngo ◽  
Chung Xuan Thi Nguyen
Keyword(s):  
Electronic Commerce ◽  
Communication Technology ◽  
Purchase Intention ◽  
Purchase Decision ◽  
Information Communication ◽  
Significant Relationships ◽  
Online Retailers ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

In the era of the information-communication technology with the development of electronic commerce, consumers can buy almost everything anywhere and at any time. One of the greatest benefits of e-commerce has been the convenience and the vast choices which consumers get online. However, some serious issues exist that impede consumers from transaction online. These issues have attracted the attention of many marketing researchers in recent years. In this research, the authors focus on the impact of consumers' ethics perception of e-retailer on their purchase intention and satisfaction. The authors also try to clarify the roles of trust and commitment in the relationship of ethics on consumers purchase decision and satisfaction because of their importance in e-commerce but also the privation in the research of previous studies. The data collected from a survey of 390 online consumers in Vietnam. Results reveal that there are significant relationships between online retailers' ethics and consumers' purchase intention and satisfaction via the mediation of trust and commitment.

How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment

2021 ◽  
Author(s):  
Xitong Li ◽  
Jörn Grahl ◽  
Oliver Hinz
Keyword(s):  
Recommender Systems ◽  
Mediation Analysis ◽  
Search Costs ◽  
Consideration Sets ◽  
Consideration Set ◽  
Relevant Alternatives ◽  
Positive Effects ◽  
Online Retailers ◽  
Causal Mediation Analysis

The findings underscore the important role of consumers’ consideration sets in mediating the positive effects of recommender systems on consumer purchases. Practical strategies can be developed to facilitate the formation of the consideration sets. For example, to reduce consumers’ search costs and cognitive efforts, online retailers can display the recommended products in a descending order according to the predicted closeness of consumers’ preferences. Online retailers can further indicate the predicted closeness scores of consumers’ preferences for the recommended products. Given such a placement arrangement, consumers can quickly screen the recommended products and add the most relevant alternatives to their consideration sets, which should facilitate consumers’ shopping process and increase the shopping satisfaction. The findings also suggest that a larger consideration set due to the use of recommender systems could induce consumers to buy. Yet, it is difficult for consumers to manage many alternatives when the consideration set is very large. To facilitate consumers’ shopping process, online retailers need to consider strategies and tools that help consumers manage the alternatives in the consideration set in a better-organized manner and facilitate the comparison across the alternatives.

Toward a conceptualization of personalized services in apparel e-commerce fulfillment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheenam Jain ◽  
Malin Sundström
Keyword(s):  
Customer Satisfaction ◽  
Perceived Value ◽  
Added Value ◽  
Personalized Service ◽  
Middle Range Theory ◽  
Content Type ◽  
Personalized Services ◽  
Online Retailers ◽  
Middle Range ◽  
Range Theory

Purpose Today, customers’ perceived value does not only depend on the products, but also on the services provided by a firm. In e-commerce, it is important to shift the focus beyond the product and discuss the value of personalized services in the context of e-commerce fulfillment. Therefore, the purpose of this paper is twofold: to develop a conceptual framework proposing satisfaction through personalized services as a middle-range theory; and to suggest foundational premises supporting the theoretical framework, which in turn shape middle-range theory within the context of apparel e-commerce fulfillment. Design/methodology/approach In this theory-driven paper, the authors apply the scientific circle of enquiry, as it demonstrates the role of theorizing with the help of middle-range theory and empirical evidence and as such provides a methodological scaffolding that connects theory formulation and verification. The authors synthesize literature related to customer perceived value (CPV) and satisfaction, followed by abduction focusing on understanding the empirical domain as it occurred in practice from company cases. The presented case studies are based on semi-structured interviews with three Swedish online retailers within the apparel industry. The theory-driven analysis results in suggestions of foundational premises. Findings Based on the theoretical foundations and empirical generalizations, three propositions are suggested. The premises regarding satisfaction through personalized service applied in the domain of apparel e-commerce fulfillment are: to ensure customer satisfaction requires a value co-creation perspective using data during the pre-purchase phase; to ensure customer satisfaction and retention require added-value perspective during the post-purchase phase of the shopping journey; and to ensure satisfaction and convenience require an added-value perspective at the last mile. Practical implications The apparel firms lose a substantial amount of revenue because of poor online customer satisfaction, leading to e-commerce not reaching its full potential. To enhance customer value, online retailers need to find a resort in advanced technologies and analytics to address customer satisfaction, and it is suggested that retailers shift their focus beyond the products and find ways to improve personalized service offerings to gain market advantage, improve fulfillment, drive sales and increase CPV. Originality/value To consider personalized services as a source for improving e-commerce fulfillment and CPV, the main contribution of this study is conceptual as it presents a theoretical model developed from general theory, middle-range theory and verified with empirical claims.

Mining numerical measure of consumers’ product evaluation expressed in words based on latent Dirichlet allocation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziang Wang ◽  
Feng Yang
Keyword(s):  
Latent Dirichlet Allocation ◽  
Product Evaluation ◽  
Online Reviews ◽  
Product Evaluations ◽  
Product Attributes ◽  
Data Set ◽  
Content Type ◽  
Face To Face ◽  
Online Retailers ◽  
Dirichlet Allocation

Purpose It has always been a hot topic for online retailers to obtain consumers’ product evaluations from massive online reviews. In the process of online shopping, there is no face-to-face interaction between online retailers and customers. After collecting online reviews left by customers, online retailers are eager to acquire answers to some questions. For example, which product attributes will attract consumers? Or which step brings a better experience to consumers during the process of shopping? This paper aims to associate the latent Dirichlet allocation (LDA) model with the consumers’ attitude and provides a method to calculate the numerical measure of consumers’ product evaluation expressed in each word. Design/methodology/approach First, all possible pairs of reviews are organized as a document to build the corpus. After that, latent topics of the traditional LDA model noted as the standard LDA model, are separated into shared and differential topics. Then, the authors associate the model with consumers’ attitudes toward each review which is distinguished as positive review and non-positive review. The product evaluation reflected in consumers’ binary attitude is expanded to each word that appeared in the corpus. Finally, a variational optimization is introduced to calculate parameters mentioned in the expanded LDA model. Findings The experiment’s result illustrates that the LDA model in the research noted as an expanded LDA model, can successfully assign sufficient probability with words related to products attributes or consumers’ product evaluation. Compared with the standard LDA model, the expanded model intended to assign higher probability with words, which have a higher ranking within each topic. Besides, the expanded model also has higher precision on the prediction set, which shows that breaking down the topics into two categories fits better on the data set than the standard LDA model. The product evaluation of each word is calculated by the expanded model and depicted at the end of the experiment. Originality/value This research provides a new method to calculate consumers’ product evaluation from reviews in the level of words. Words may be used to describe product attributes or consumers’ experiences in reviews. Assigning words with numerical measures can analyze consumers’ products evaluation quantitatively. Besides, words are labeled themselves, they can also be ranked if a numerical measure is given. Online retailers can benefit from the result for label choosing, advertising or product recommendation.

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