Trust, Perceived Benefit, and Purchase Intention in C2C E-Commerce

It is a class research question about how trust and perceived benefit affect consumers' purchase intentions. This research examines the relationship in a very different context: consumer-to-consumer (C2C) e-commerce in China. Specifically, this research empirically assesses the differences in effect size due to the change of context. First, a theoretical model linking trust, perceived benefit, and their antecedents to purchase intention is developed upon the literature. Then the model is evaluated using empirical data collected at Taobao, the largest C2C e-commerce website in China. Partial least squares based structural equation modeling (PLS-SEM) results strongly support the model and research hypotheses. A developing country context can indeed affect the strength of effect. These results contribute to the literature in that they provide new insights toward a more in-depth theoretical understanding. Meanwhile, they can also provide useful guidance for managers.

What Makes Customers Repurchase Grocery Products from Online Stores in Korea

To understand customer repurchase intention in online stores, the present study has evolved with three variables: customer trust, loyalty, and satisfaction. A theoretical model was also developed to examine customer repurchase intention towards online shopping. The observation unit of this research is online stores and the analytical unit is the customers who have been purchasing grocery products via online. A random sampling technique was used to select the respondents and who are easily accessible. The data was collected from 645 online customers in Seoul. The data was analyzed with a structural measurement equation model by using Partial Least Square 3.0. Outcomes of study showed that, customer satisfaction and trust were the significant predictors of customer repurchase intention. The effect of customer loyalty towards repurchase intention seems to be very low. Hence, online retailers have advised to concentrate more on the activities needed to increase customer loyalty and to purchase more.

Structural Equation Modelling of the Factors Influencing the Adoption of E-Commerce in Saudi Arabia

This article presents findings from a study examining the diffusion and adoption of e-commerce in Saudi Arabia. Although the country has the largest and fastest growing information and communication technologies (ICT) sector in the Arab region, growth in e-commerce activities has not progressed at a commensurate rate. In general, e-commerce online shopping has not kept pace with the global growth of online retailing. The authors have conducted research to identify and explore key issues that influence e-commerce in Saudi Arabia in deciding whether or not to adopt online channels. As part of a larger research project using mixed methods, this article focuses on a quantitative analysis of responses obtained from a survey of the online shopping users in Saudi Arabia.

Designing Indulgent Interaction

Electronic Commerce (e-commerce) has transformed the retail environment and has become an ever increasingly important channel of the global economy. Within this, fashion retail has been a driving force, with increasing brand growth and profit deriving through Mobile Commerce (m-commerce). While the high-street fashion retailers have been key drivers and innovators in creating engaging and persuasive m-commerce app offerings, the high end and luxury fields have to date been slow to adopt and innovate at a comparable rate. This chapter explores the history and meaning of luxury and branding, in relation to the current state of m-commerce in fashion. Specific reference is given to the current state of m-commerce design in the retail domain between luxury and high-street market levels. Key questions and leading developments in the realm of interaction and User Experience (UX) design are presented along with directions on how to design for luxury m-commerce interactions.

Difficulty in Transition

The purpose of this article is to identify and study various risks that stop potential online shoppers to shop online. A total of 268 potential online shoppers were personally surveyed with a structured questionnaire. These respondents were from Gurgaon city. Exploratory factor analysis and regression analysis were used to assess the potential consumers' risk perception towards online retailing. It was found that potential online shoppers considered product risk, privacy risk, time risk, social risk, and security risk to be important while thinking of online shopping. Among all these risks security risks were found to be on potential online buyers' minds followed by product risk, social risk, privacy risk, and time risk. Online shopping behavior was the dependent variable in the study.

Consumer E-Loyalty for E-Grocery Shopping in a Metro City of India

This study focuses on the e-loyalty of the grocery consumers. Understanding online behavior in developing countries is an emerging issue in these days. The purpose of this research is to examine the effects of antecedents of flow on attitude and perceived ease of use in the context of online grocery purchase behavior in a developing country perspective. Further, the study also examines the role of attitude and perceived ease of use in building e-loyalty. The present study analyzes the data of 250 respondents collected through an online survey. The data were analyzed employing exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equational modeling (SEM). The results show that the flow variables (concentration and enjoyment) have a positive but differential effect on attitude towards online grocery purchase. However, both concentration and enjoyment were equally important in influencing the perceived ease of use. The study also found that attitude positively influences the e-loyalty, and perceived ease of use influences both attitude and e-loyalty.

Electronic Commerce and Actual Problems of Taxation

This chapter examines the problems related to the international taxation of electronic commerce and identifies the alternative solutions that have been adopted in the current fiscal framework. The results obtained demonstrate the proposed models of e-commerce taxation based on existing international legislation, notably origin-based taxation, tax withheld at source and technology based solutions. This study argues that any legislative change should be implemented by a number of countries or through international efforts to harmonize practices, and sets out the future directions in the taxation of e-commerce. This chapter contributes to the scientific knowledge to accounting and tax research on the taxation of e-commerce.

Strategies to Predict E-Commerce Inventory and Order Planning

This study examines the characteristics of a prediction model for businesses in the online marketplace by considering the market trend, prior sales and decision maker's preference on potential demand estimate. With the rapid growth of the electronic market, the main challenge for online sellers is the ability to analyze customer expectation, market data, and sales information to make the accurate procurement decision. The proposed model integrates a mathematical structure for a target season sale comprising upcoming demand projection by seller's internal team, data from past sales and the overall trend of seller's e-brand to determine the online customer demand. The study proposed a newsvendor model as a tool for sellers to make the instantaneous decision of ordering merchandise from the supplier when the quick response to the customer order is a priority for electronic market. Results of the study provide insights into the procurement dynamics and implications of the e-commerce inventory plan.

A Cloud Computing-Based Model of E-Commerce Adoption for Developing Countries

While e-commerce can contribute significantly to the economies of developing countries, challenges may include a lack of telecommunications infrastructure, low Internet and credit card penetration, lack of skilled professionals and insufficient delivery systems. Cloud computing offers a solution to most of these challenges, providing access to a low-cost, reliable and flexible internet-based infrastructure. However, there is little empirical validation of the adoption of cloud computing in e-commerce; to bridge that gap, the present study proposes a cloud-based model of e-commerce adoption. Based on a survey of leaders of 175 small, medium, and large ICT firms in Egypt, a developing country where e-commerce is expected to boom in the coming years, the proposed model empirically validates organizational, technical and contextual factors that would make e-commerce adoption more effective for business, governments and service providers.

Creating Utilitarian and Hedonic Value from Website Quality and Online Retail Performance

Although consumer-perceived utilitarian value and hedonic value have been considered essential antecedents of consumer behavior, few studies have investigated the effects of both website quality and online retail performance on consumer-perceived utilitarian value and hedonic value, which in turn affect consumers' relationship commitment. This study analyzed data from 394 online shoppers using structural equation modeling. The results revealed that both utilitarian and hedonic value significantly and positively affected relationship commitment. Information quality, system quality, service quality, and price fairness were revealed to significantly and positively affect the perceived utilitarian value of online stores, whereas system and service quality increased perceived hedonic value.