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.

Determinants of Online Buying Behaviour of Social Media Users in Cameroon

Online shopping in Cameroon is growing rapidly and gaining considerable ground.The phenomenon is relatively new as compared to the traditional brick-and-mortar store(serving customers face-to-face in a building rather than online).As the world faces digital transformations,businesses in Cameroon are seeking new ways to reach their customers and create favourable environments to effectively carryout online purchase.This study examines the factors that affect consumer online buying behaviour in Cameroon.Three theories guided this investigation:the Technology Acceptance Model(Davis,1989),Diffusion of Innovations Theory(Rogers,1995),and Uses and Gratifications Theory(Katz&Blumler,1974).The study focuses on students of the University of Buea who carry out online shopping.Purposive sampling is used,and data are collected from 365 respondents through a questionnaire with open and closed ended questions.Analysis of data is done with the use of the Statistical Package for Social Scientists(SPSS)Version 21 to determine the types of products consumers buy online;the degree to which consumer trust and satisfaction affect consumer loyalty;and the specific social,economic,and market factors that affect online buying behaviour.Findings indicate that:Consumers mostly buy fashion items(74.3%),electronics(44.7%),cosmetics(37.3%),and house equipment(34%)online.Consumers will repeat purchase from a marketer if they trust and are satisfied with the product and service quality(81.1%);hence,they will also encourage others to buy.If they are dissatisfied,they will not repeat purchase from the online store.Advertisement(76.1%),attractive pricing/discount(71.7%),product quality(71%),service quality(64.1%),convenience(72.3%),available income/money(49.6%),word of mouth recommendation(41.9%),and personal motivation(62.7%)constitute the major factors that affect consumer online buying behaviour.Results of the hypotheses testing show that:H1=Consumers buy more of fashion items online(X^(2)=9.950;df=16;p=0.869);H2=There is a significant relationship between trust and satisfaction and consumers online buying behaviour(X^(2)=270.765;df=16;p=0.000);and H3=Social,economic,and market factors significantly affect consumer online buying behaviour(X^(2)=106.328;df=16;p=0.000).The study recommends online marketers to develop their marketing strategies towards customer orientation and focus on the ease of use of their online shopping services.

Consumer Psychology in the Digital Age:How Online Environments Shape Purchasing Habits

The advent of the digital age has profoundly changed consumers’mindsets and habits.The rapid development of e-commerce and the widespread use of mobile applications have created enormous demand for individual recommendation systems based on mass data.This system not only increases the convenience of purchases and conversions but also alters the purchasing behavior of consumers,leading them to make choices subconsciously.Potential risks associated with large-scale data sharing and usage have heightened consumer concerns regarding privacy,thereby weakening the foundational trust in platforms and deterring them from shopping.Additionally,the rapid growth of e-commerce in the digital age,coupled with changing market circumstances,has intensified psychological pressure on consumers,making their decision-making processes more complex and difficult.Furthermore,the program will explore issues related to improving customer experience,developing individual marketing strategies,and designing customer loyalty plans.It will also address questions of privacy in a digital environment,the dilemmas of excessive or disruptive consumption behavior,and the complexity and diversity of consumer behavior in the face of digital change.The objective of this study is to develop a fear study that will enable a better understanding of the impact of online shopping on consumer behavior and provide a strategic guide for retailers to meet the challenges and opportunities presented by the digital age.

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.

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.

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.

A Research on Senior People Online Consumption in China-From Perspective of Providing Technology Support

While the internet skills of the elderly is no longer a big problem,it is still necessary to further improve the online shopping experience and activity of the elderly.Evidently,the frequency of seniors shopping online is not nearly as high as the younger generation,as the elderly online shopping frequency is still calculated by weeks.People with higher education and younger age are more likely to accept technology products and understand how to use them,but people with lower education and older age will find it harder to use technology product.The majority of the elderly have a vision for the further development of technology to help them.This study shows that the elderly group shopping demand is large,but when the majority of the elderly choose offline consumption,the option of just a simple online solution is insufficient.Some shopping apps have made improvements in such aspects as font enlargement,color contrast enhancement and simplified operation steps.However,these improvements only solved the superficial problems,and failed to consider and solve the problems based on the experience of the elderly.

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.

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.

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.

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.

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.

Investigation on online shopping customer satisfaction——Taking samples from undergraduates in Shanghai

Electronic commerce in China underwent a sea change in recent years. More and more people are accustomed to shopping online. Improving customer satisfaction of online shopping is gaining signification for business to gain long-term customers and achieve their goals. Based on and enlightened by the traditional custom satisfaction model, we built a model especially for online shopping in China. Wc took samples from undergraduates in Shanghai and gained real data by sending out questionnaire and conducting survey both online and on the spot. Taking advantage of the SPSS19.0 with PLS plugin and SEM-PLS analysis method, we tested and proved some relations that we put foreward in the hypothesis. The value of our investigation and this paper lies in providing some enlightening perspectives for firms doing online business, which hopefully can help them improve costumer satisfaction and achieve firm goals.

advice on shopping——Tips for Shopping Online

In general, if you’re dealingWith either a well-publicizedinternet supplier or with anestablished company with both"brick and mortar" stores and aneCommerce website, you shouldhave no trouble getting the goodsyou ordered at the price youordered them, roughly whenpromised. And think about all thetime you’re saving! Here are fourfactors to bear in mind:

Analysis on Marketing Strategies and Consumer Behavior during Online Shopping Carnival in China

As online shopping carnivals held by giant e-commerce platforms have achieved huge commercial success in tenns of both,profit scales and brand building,the marketing strategies that the companies have adopted to promote their ideas and so swiftly influence consumer behavior have attracted wide attention.This article will first begin with the introduction on the phenomenon of online shopping carnival in China especially,the largest one which is the"Double Eleven"Global Online Shopping Carnival where there will be a brief discussion on its nature,history,scale,and huge influence on the Chinese society.Then,the discussion will be focused on the marketing secrets of its contagiousness and the reasons why everyone talks about it from three dimensions whereby it provides social currency,it is of practical value,and it evokes emotions.An analysis will then be done on the marketing contributors to its high sales volume of"Why people are participating?"with purchase motivation theory,social influence theory(SIT),and conformity theory.Finally,the passage will explore the definition of impulse buying as well as its impacting factors in online shopping experiences,and then explain the high incidence of this phenomenon during carnivals from two dimensions which include the low-price strategy and the stimulation from shopping environment.This article aims to help people understand online shopping and shopping carnivals better while the tips of promotion strategies and analysis on consumer behavior would provide a referential value for companies that are interested to raise certain brands5 publicity in addition to attract more consumers.