Online consumer retention: contingent effects of online shopping habit and online shopping experience

2007 ◽  
Vol 16 (6) ◽  
pp. 780-792 ◽  
Author(s):  
Mohamed Khalifa ◽  
Vanessa Liu
Keyword(s):  
Online Shopping ◽  
Shopping Experience ◽  
Online Consumer

An Online Consumer Purchase Decision Cycle

2005 ◽  
pp. 287-299 ◽  
Author(s):  
Penelope Markellou ◽  
Maria Rigou ◽  
Spiros Sirmakessis
Keyword(s):  
Customer Satisfaction ◽  
Online Shopping ◽  
Purchase Decision ◽  
Special Focus ◽  
Final Assessment ◽  
Decision Cycle ◽  
Shopping Experience ◽  
Product Delivery ◽  
Online Consumer ◽  
Ultimate Objective

This chapter presents the overall consumer purchase decision cycle and investigates the issues that affect Web users from e-shop selection to product delivery and final assessment of the shopping experience. This process has been divided into three successive stages: outside the e-shop, inside the e-shop, and after sales. Each stage is analyzed on the basis of customer states and transition conditions, while special focus is set on abandonment factors. The chapter aims to provide a thorough insight to e-shop features that ensure customer satisfaction and those that may result in further enhancement of online shopping. The ultimate objective is to provide guidelines for designing successful e-shops and clarify success and failure factors.

Online Shopping Experience

2004 ◽  
pp. 15-44 ◽  
Author(s):  
Yi M. Guo
Keyword(s):  
Influencing Factors ◽  
Web Sites ◽  
Online Shopping ◽  
Individual Characteristics ◽  
Consumer Experience ◽  
Preliminary Results ◽  
Factors Influencing ◽  
Shopping Experience ◽  
Research Questions ◽  
Online Consumer

In this chapter, a model of online shopping experience is proposed to unify previous works of online consumer experience. Online shopping experience (OSE) is the interaction between shoppers and commercial web sites. It consists of physical, cognitive, and affective activities, and in-progress responses. Factors influencing shopping experience include individual characteristics of shoppers, characteristics of stores and commercial web sites, characteristics of products and shopping task, and other contextual factors. The outcomes of shopping experience have been studied in many ways. Based on this model, series of research questions can be asked to examine relationships between components of shopping experience and influencing factors, and between shopping experience and shopping outcomes. Preliminary results of a study are reported to illustrate the usefulness of the concept of online shopping experience.

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

scholarly journals How the Covid-19 Pandemic Is Changing Online Food Shopping Human Behaviour in Italy

2020 ◽  
Vol 12 (22) ◽  
pp. 9594
Author(s):  
Leonardo Salvatore Alaimo ◽  
Mariantonietta Fiore ◽  
Antonino Galati
Keyword(s):  
Online Shopping ◽  
Grocery Shopping ◽  
Competitive Advantages ◽  
Web Based ◽  
Explanatory Variables ◽  
Food Shopping ◽  
Cumulative Logit Model ◽  
Level Of Satisfaction ◽  
Shopping Experience ◽  
On Line

The advent of the Internet has significantly changed consumption patterns and habits. Online grocery shopping is a way of purchasing food products using a web-based shopping service. The current COVID-19 pandemic is determining a rethinking of purchase choice elements and of consumers’ behavior. This work aims to investigate which characteristics can affect the decision of online food shopping during the pandemic emergency in Italy. In particular, the work aims to analyze the effects of a set of explanatory variables on the level of satisfaction for the food online shopping experience. For achieving this aim, the proportional odds version of the cumulative logit model is carried out. Data derive from an anonymous on-line questionnaire administrated during the first months of the pandemic and filled by 248 respondents. The results of this work highlight that people having familiarity with buying food online, that have a higher educational level and consider food online channels easy to use, appear more satisfied for the food online shopping experience. These findings can be crucial for the future green global challenges as online shopping may help to reach competitive advantages for company sustainability.

Customer Experience: Extracting Topics From Tweets

2021 ◽  
pp. 147078532110475
Author(s):  
Manit Mishra
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Latent Dirichlet Allocation ◽  
Online Shopping ◽  
Customer Experience ◽  
Process Failure ◽  
Shopping Experience ◽  
Social Media Platforms ◽  
Media Platform ◽  
Moments Of Truth

The ubiquity of social media platforms facilitates free flow of online chatter related to customer experience. Twitter is a prominent social media platform for sharing experiences, and e-retail firms are rapidly emerging as the preferred shopping destination. This study explores customers’ online shopping experience tweets. Customers tweet about their online shopping experience based on moments of truth shaped by encounters across different touchpoints. We aggregate 25,173 such tweets related to six e-retailers tweeted over a 5-year period. Grounded on agency theory, we extract the topics underlying these customer experience tweets using unsupervised latent Dirichlet allocation. The output reveals five topics which manifest into customer experience tweets related to online shopping—ordering, customer service interaction, entertainment, service outcome failure, and service process failure. Topics extracted are validated through inter-rater agreement with human experts. The study, thus, derives topics from tweets about e-retail customer experience and thereby facilitates prioritization of decision-making pertaining to critical service encounter touchpoints.

An Investigation of Online Shopping Experience on Trust and Behavioral Intentions

2015 ◽  
Vol 14 (2) ◽  
pp. 233-254 ◽  
Author(s):  
Lee Hao Suan Samuel ◽  
M. S. Balaji ◽  
Khong Kok Wei
Keyword(s):  
Behavioral Intentions ◽  
Online Shopping ◽  
Shopping Experience

scholarly journals Electronic Ticketing System and Traveler Purchasing Intention

2013 ◽  
Vol 217 ◽  
pp. 129-146
Author(s):  
THẢO HOÀNG THỊ PHƯƠNG
Keyword(s):  
Regression Models ◽  
Online Shopping ◽  
Behavioral Control ◽  
Ease Of Use ◽  
Perceived Behavioral Control ◽  
Perceived Ease Of Use ◽  
Demographic Groups ◽  
Purchasing Intention ◽  
Shopping Experience ◽  
The Difference

This research aims to identify the importance of factors that influence customer intention of purchasing electronic air ticket (e-ticket). The research compares the difference in purchasing intentions based on e-ticketing between demographic groups of age, income, educational level, and online shopping experience. With the sample size of 295 travelers, the regression models and ANOVA tests are used to process and explain data. The research detects four components, namely, perceived system usefulness, perceived ease of use, perceived behavioral control, and security of transaction that influence the consumer intention to buy e-ticket. The paper then recommends managerial solutions to the development of an electronic ticketing system in particular and e-commerce in general.

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