The influence of different types of satisfaction on loyalty on C2C online shopping platform:From the perspective of sellers and the platform

With the rise and development of major types of platforms,the competition for resources has become extremely fierce,and the market share of C2C platforms has been seriously threatened by the loss of resources.Therefore,building and maintaining buyers’satisfaction and loyalty to C2C platforms is critical to the survival and sustainability of C2C platforms in China.However,the current knowledge on how platform satisfaction and loyalty are constructed in the C2C e-commerce environment is incomplete.In this study,seller-based satisfaction and platform-based satisfaction are constructed separately.We further distinguish seller-based transaction satisfaction into economic and social satisfaction and explore their antecedents and consequences.To test our research hypotheses,we conduct a survey and collect data from a real online market(Taobao website).The results show that seller-based transaction satisfaction positively affects platform-based overall satisfaction and loyalty,and that perceived product quality,perceived assurance,and perceived price fairness all have a significant effect on economic satisfaction,whereas perceived relationship quality and perceived empathy significantly influence social satisfaction.These findings help us understand the literature related to customer satisfaction in the context of C2C in China and provide inspiration for online sellers and platforms.

The Influence of Perceived Risk on Purchase Intention——A Case study of Taobao Online Shopping of Fresh Fruit

Based on perceived risk,the impacts of different kinds of risks on consumer's purchase intention are tested by using the investigation data of 2016,and perceived risks of consumers from different groups have different impacts on purchase intention. Via interviews and online questionnaires,425 copies of effective samples were obtained. The structural equation modeling is used for research. Results display that product risk significantly affects purchase intention,and perceived risk among different groups has significant difference. According to research conclusion,the authors think that consumer should actively collect all kinds of information and take effective risk avoidance measures; Taobao platform should continuously perfect purchase rule,punish the behavior of leaking buyers' information,and continuously update Alipay software to prevent hacker intrusion; business should guarantee product quality,open information and make scientific marketing strategy.

Exploratory study of logistics service quality scale based on online shopping malls

Online shopping has already become the new mode that a lot of customers try to adopt. At the same time, the online shopping could not be successfully completed without logistics service. Logistics service quality (LSQ) has significant impact on revenue and profitability. This paper presents the issue from the perspective of the customer, and explores the initial factors of LSQ based on the online shopping through in-depth interview and the Delphi method. The survey uses a standard 7-point Likert-type scale to measure the LSQ. Empirical research results are shown in detail to confirm seven LSQ dimensions with Chinese characteristics, including timeliness quality, personal contact quality, order quality, order discrepancy handling, order condition and convenience. Statistical analyses of the investigation were conducted to test the reliability and validity of the LSQ evaluation model.

China's E-commerce Operators Ready for Double 11 Shopping Festival

With one month until November 11,all major e-commerce platforms have started their preparations for this great event.The"Double 11"shopping festival was first initiated by Alibaba in 2009and is the world's largest online sales gala.This shopping festival is thus named due to the date of November11 and has extended from the original24 hours to several weeks in recent years.The pre-sales stage start from late October.Some new e-commerce companies like TikTok and Pinduoduo have also been involved in the event.

Correlation between psychological resilience and burnout among female employees in a shopping mall in Xi Xian new area,China:A cross-sectional survey-Retraction

In the article titled“Correlation between psychological resilience and burnout among female employees in a shopping mall in Xi Xian New Area,China:A cross-sectional survey”by Zhang Q and Liu L(J Integr Nurs 2021;3(3):117-121.doi:10.4103/jin.jin_14_21),[1]the content and results data of this article was questioned by International database(Web of Science)institution.This article was then investigated by the publisher and Journal of Integrative Nursing(JIN).

AHP-Based Optimal Selection of Garment Sizes for Online Shopping

Garment online shopping has been accepted by more and more consumers in recent years. In online shopping, a buyer only chooses the garment size judged by his own experience without trying-on, so the selected garment may not be the fittest one for the buyer due to the variety of body's figures. Thus, we propose a method of optimal selection of garment sizes for online shopping based on Analytic Hierarchy Process (AHP). The hierarchical structure model for optimal selection of garment sizes is structured and the fittest garment for a buyer is found by calculating the matching degrees between individual's measurements and the corresponding key-part values of ready-to-wear clothing sizes. In order to demonstrate its feasibility, we provide an example of selecting the fittest sizes of men's bottom. The result shows that the proposed method is useful in online clothing sales application.

Behavior Targeting Based on Hierarchical Taxonomy Aggregation for Heterogeneous Online Shopping Applications

Behavior targeting(BT)based on individual web-browsing history has become more valuable in precision marketing for many companies through capturing users’interest and preference.It is common in practice that the behavior data collected from different online shopping applications are inconsistent since they are labelled by different item taxonomy,where the same behavior could have different representations and therefore analysis confusion arises.To address this issue,we propose a semantic similarity based strategy to transform the heterogeneous behavior extracted from deep packet inspection(DPI)data of a telecommunication operator into a unique standard one.The Word Mover’s Distance algorithm is exploited to evaluate the semantic similarity of the distributed representations of two web-browsing histories.Moreover,the architecture of the behavior targeting platform on Hadoop is implemented,which is capable of processing data with size of PB level every day.

Study on the Perceived Risk about the Online Shopping for Fresh Agricultural Commodities and Customer Acquisition

Fresh agricultural commodities have been entering the era of network marketing. However,the coverage population is still relatively small. In this paper,more than 400 online shopping customer survey data are statistically analyzed based on perceived risk multidimensional model by factor analysis method to classify the potential customers' perceived risk,concluding that food safety risks,mental health risk,relative convenience risk,liquidity risk,privacy risk and time risk are the most important risk factors that impact potential customers online shopping of fresh agricultural commodities. By using customers prediction model which is based on the classification and prediction methods to mining potential customers,it comes to the conclusion that men are more likely to purchase fresh agricultural commodities online,specifically,in the male sample,those whose average monthly net purchase cost equals to or is higher than 51 yuan or whose online shopping time equals to or is longer than 3 years and at the same time whose age is younger than 30 are the most potential customers. Finally,it puts forward corresponding countermeasures and suggestions from the perspectives of risk control and effective customer acquisition.

Analysis of environmental impacts of drone delivery on an online shopping system

In rural areas, drones are designed to replace road deliveries so as to overcome infrastructure challenges; though drones notably consume lessfuel and consequently have a smaller impact on the environment, their full life cycle assessment should still be evaluated to comprehensivelyunderstand their environmental impact. This study presents a life cycle assessment study on drone delivery in Thailand using CML2001, the lifecycle impact assessment （LCIA） method, to convert life cycle inventory data into environmental impacts. The observed results show that anonline shopping system using drone delivery is one of the most environmentally friendly transportation options throughout a wide range ofscenarios. However, the parts production contributed to significant impacts on environmental issues while the drone operation showed the leastimpact to all impact categories. The dominant contributors to global warming, abiotic depletion （ADP elements and fossil）, acidification air,eutrophication, ozone layer depletion, and photochemical ozone creation impact categories were the coal mining and electricity generatingstation operation. However, the carbon fibers and the battery, are the main contributors to other impact categories, which include the humantoxicity, freshwater aquatic ecotoxicity, marine aquatic ecotoxicity, and terrestric ecotoxicity.

Design and Implementation of an Online Shopping System

The paper puts forward a kind of online shopping system based on ASP. NET technology, including the establishment of data- base anti the design of the front web pages. The system uses Microsoft ASP. NEF as development platform, C as the server language, and Microsoft Visual Studio 2008 as the development tool. ADO. NET is used to connect with SQL SERVER 2000 database through the data- base controls. A variety of server controls are used to create the ASP. NET page to implonent the syste^n functions. The syston is designed in 3-Layer application which includes Presentation Layer （PL）, Busi- ness Logic Layer （BLL） and Data Access Layer （DAL）. The operation of the database is in DAL, the logic fimction is in BLL. So the amotunt of work in the development, the difficulty of system maintenance and the upgrading can be reduced. After being tested, the system meets the requirement of the users.

Analysis of the Relationship Between Perceived Security and Customer Trust and Loyalty in Online Shopping

Advancements in the internet technology triggered a line of developments in the field of marketing. As an alternative to the conventional shopping, online shopping over the internet has gained substantial share of retail market. Customers get used to this new shopping venue and nowadays prefer it more and more according to the researchers, ten percent of the global population now uses internet for shopping. In this research, the author explored the relationship between the security measures implemented by a company, very active in the online shopping domain, and the customer trust and loyalty on the online services provided by this company. Findings of this research are based on survey data analyzed in SPSS. This research supports the existence of a relationship between the security of a company＇s website and customer trust and loyalty on the online services of this company When the perception of security measures improves, customer trust and loyalty increases accordingly

Online Shopping: What Factors Determine Consumers to Buy?

This study analyzed factors influencing consumers in the process of making a decision in online shopping. The findings could inspire suggestions for online marketers in developing either media or infrastructures accordingly. The variables in the study involved product information, price, service, transaction safety, environment, age, gender, educational background, and income rate as independent variables, while the process of purchasing decision served as a dependent variable. Primary data were gathered in 10 locations within Jabodetabek areas involving 270 respondents which were analyzed using multiple regression analysis. The study revealed that price, information product, and service as significant variables influencing consumers in online shopping. Service became the most important factor for marketers to be considered as it emerged as the most dominant variable influencing the process of making a decision in online shopping.

When Chinese Manufacturing Met On-line shopping Carnival

After fast development in the past four year,"11.11"has become an online shopping carnival for Chinese netizens.On the single day of November11,2013,Tmall reaped an amazing daily sales volume of RMB 35 billion.Afterwards,such e-suppliers as JD.com,Dangdang,Suning.com,Gome.com and Vipshop joined the"11.11"shopping carnival with considerable sales volume.Products of the traditional manufacturing

Dimensions of Consumer's Perceived Risk in Online Shopping

Perceived risk is an important concept in consumer behavior in online shopping. It impedes the adopting online shopping. A structure model with seven factors of consumer's perceived risk in online shopping is developed in this paper. The results have the descriptive power about Chinese consumers' perceived risk in Internet shopping and provide framework for managerial use in China's e-commerce market environment.

BINGE BUYING IN NUMBERS Online shopping-driven economics

Consumption has become the central pillar of China’s economic growth.On November 11, 2019, Singles’ Day, China’s biggest shopping festival,reached its 11th year. E-commerce sales in China continued toincrease: Alibaba set new record with more than US$38.1billion in 24 hours. Rival e-commerce giant JD.com’scumulative sales exceeded US$29 billion.The Singles’ Day shopping wave alsoswept through some Southeast Asiancountries, creating peaks in onlineconsumption. Data shows thate-commerce consumptionhas the potential to becomeanother important growthfield for these countries.

Online Shopping:Antecedents of Attitude,Intention and Use

Consumer behavior in electronic commerce has been the theme of hundreds of studies conducted by researchers of many nationalities in the past twenty years.The purpose of this study was to review and classify the concepts used in papers published between 2003 and 2014 to explain the consumer behavior in electronic commerce.A systematic search of the literature in nine databases was performed and 136 papers published in double-blind peer reviewed journals were selected.Reference models were prepared based on a classification of the concepts found.This article reports only the concepts that displayed statistical significance in the studies analyzed.Finally,we suggest new studies that can be conducted.

Online Shopping A Block to E-commerce

The rapid growth oflnternet technology development has made Chinese consumers search for products over the Internet and purchase products or services from Web-retailers. E-commerce is growing to represent an increasing share of overall sale avenue, and online shopping is expected to continue growing for foreseeable future. As such, it is vital to identify the performance of shopping online and investigate the effects that shopping online has on e-commerce.The methods used in this study are consulting some authentic materials and looking into some cases in point. It is found that shopping online has so many disadvantages, such as credit crisis, the insecurity of e-bank, express problem, a series of relevant law problems, limited payment options and so on.Because of these limitations, shopping online has interfered with e-commerce. Overall, shopping online is more or less a bar to e-commerce.

Analysis of Components of Online Shopping and Their Relative Value

Empirical exploration of how online consumers interpret and value the marketing communication embedded in shopping components has the potential to advance knowledge of online consumer behavior and to inform design decisions concerning consumer-oriented Web sites. To date, little research has been completed regarding how components hinder or aid consumer perceptions of the online marketing message. This paper investigates the relative importance of online shopping components for online consumer shopping. The important and relative issues surrounding online shopping are explored, finding the core components of convenience, access to information, and trust. These components were then implemented in an online shopping task. Respondents considered thoughtfully marketing messages that involved issues of minimizing travel, information access.

Service Quality Measurement and Competition Strategy Analysis of Online Shopping

E-Commerce refers to such business behavior as conducting trades on a virtual network through the Internet.The core elements contributing to the success of online stores include not only the web-based presentation and the low-price strategy but the quality of online service as well.Importance-Performance Analysis is a method frequently used to evaluate performance and analyze competition strategies.Using IPA,this study analyzed and investigated the service quality of the online shopping of a case company and proposed 10 indexes to measure the service quality of online shopping.a number of suggestions on competition strategies were provided for the case company to improve its competition strategies.

Should Online Shopping Spree Be Supported?

Each year on November 11, known as Singles Day, an online shopping promotion is held in China. The event was started by Taobao Mall (Tmall), a dedicated platform for third-party brands and retailers of Alibaba Group, on November 11, 2009. Ten years ago, although the number of merchants and promotion efforts involved were limited, the sales far exceeded expectations, which prompted Tmall to make it an annual event.