scholarly journals Research on Online Shopping Demand of Chinese Elderly under the Background of Aging

2021 ◽  
Vol 1 (1) ◽  
pp. 16-20
Author(s):  
Xiaoyu Wang ◽  
Ling Jiang
Keyword(s):  
Psychological Factors ◽  
Online Shopping ◽  
The Elderly ◽  
Consumer Market ◽  
Healthy Development ◽  
Market Order ◽  
Sales Channels ◽  
Complex Operation ◽  
Shopping Experience ◽  
Countermeasures And Suggestions

Firstly, this paper analyzes the main characteristics of China's elderly consumer market. Secondly, it analyzes the changes of the elderly consumer market from environmental and psychological factors. Thirdly, it analyzes the problems existing in China's online shopping market for the elderly. The study found that there are many problems in China's elderly market, including lack of pertinence of market products, complex operation, chaotic market order, many after-sales problems and so on. Finally, the following countermeasures and suggestions are put forward to promote the healthy development of the elderly consumer market: by expanding the development scope, creating the elderly model of online shopping platform, strengthening supervision and broadening sales channels, we can bring a more comfortable online shopping experience for the elderly group.

scholarly journals Composition of Online Shopping Experience: Evidence from India

2016 ◽  
Vol 6 (10) ◽  
pp. 249-260
Author(s):  
Vikas Gautam
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychological Factors ◽  
Online Shopping ◽  
Website Design ◽  
Perceived Benefits ◽  
Perceived Risks ◽  
Confirmatory Factor ◽  
Indian Consumers ◽  
Shopping Experience

This research was conducted to understand the composition of online shopping experience of Indian consumers. It is very important for marketers to identify and understand the factors of shopping experience before taking any decision. Results of the study showed that website design is the most sought after component by consumers in online shopping followed by perceived benefits, hedonic motivations, perceived risks and psychological factors. Further, results were confirmed using confirmatory factor analysis. The study comprised of 366 respondents.

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.

PENGARUH AESTHETIC, ESCAPE, EXPLORATION DAN CONVENIENCE TERHADAP MALL SHOPPING BEHAVIOR DI ERA TREN BERBELANJA ONLINE

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Novita Novita
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Customer Loyalty ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Shopping Centers ◽  
Consumer Market ◽  
Online Purchases ◽  
One Stop

Traditionally, mall developers have tried to attract consumers through store diversity and availability of products in one place (one-stop shopping concept). But now, consumer market is more segmented. To obtain customer loyalty, mall must be able to attract unique motives and experiential needs, not just offering a shopping place that provides complete items at attractive prices. This paper aims to answer a major challenges in the success of the mall to attract visitors on the online shopping trends. Data were collected using questionnaires to mall visitors in Jakarta. A sample of 380 was analyzed using Multiple Linear Regression. This study suggests that physical shopping centers must be create a new atmosphere to attract different segments. hopping malls must provide different concepts and create new experiences that consumers can’t get in online purchases. Keywords : aesthetic, exploration, escape, convenience, mall shopping behavior.

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 Analysis of Influencing Factors Tourists’ Purchase Decision-making Behavior in Kunming

2018 ◽  
Vol 2 (3) ◽  
pp. 87
Author(s):  
Bin Feng ◽  
Hua Chen ◽  
Qinglei Li ◽  
Wei Li
Keyword(s):  
Decision Making ◽  
Consumer Behavior ◽  
Influencing Factors ◽  
Questionnaire Survey ◽  
Current Situation ◽  
High Price ◽  
Purchase Decision ◽  
Shopping Experience ◽  
Countermeasures And Suggestions ◽  
Decision Making Behavior

Based on the theory of consumer behavior, this paper analyzes the current situation of tourism shopping market in Kunming, and analyzes the decision-making behavior of tourists shopping in Kunming with the questionnaire survey, and clarifies the influencing factors of the decision-making behavior of visitors to Kunming. In the future, the influencing factors of Kunming tourists' shopping decision-making behavior are combined with the current situation of Kunming's tourism shopping market. The problems of cheating-induced shopping, the high price of shopping products, the low level of tourism shopping experience and the imperfect after-sales service are analyzed. Finally, the corresponding countermeasures and suggestions are proposed from four aspects: rectifying the tourism shopping market, establishing a sound price supervision mechanism, strengthening the tourism shopping experience, and improving after-sales service.

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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