Linking consumer trust perception in constructing an e-commerce trust model

Trust issues is still considered as a main obstacle in the implementation of eCommerce Due to the increasing numbers of cyber crimes committed today, consumers are faced with doubt to engage in online shopping. As a safety precaution, consumers will take certain measures to protect their information by evaluating and assessing these websites trustworthiness before an actual purchase occurs. This paper describes a model that examines the elements related to online consumer behavior and to investigate this behavior towards building and increasing trust. The applicability of the model was tested in attempt to view consumers' acceptance towards the model and its component. The fmdings indicate the respondents are aware of the trust issue surrounding e-Commerce implementation as they accept and agreed with the model and its components

Incorporating the Dual Customer Roles in e-Service Design

E-service involves the delivery of useful services through information technology based service delivery channels such as the Internet. A distinguishing feature of e-service is the active and significant participation of customers in the service co-production process. With increasing customer participation in the e-service co-production process, it is important to incorporate customers’ needs both as a co-producer and as a patron into the design of e-service systems. However, these dual customer roles create a complex decision problem during e-service design. In the current paper we present a customer orientation strategy for e-service design, and propose a corresponding two-stage decision model based upon the customer orientation strategy to evaluate the efficiency and effectiveness of e-service design when the focus of the design is to meet customers’ needs as both co-producers and patrons. The decision model is then applied in an empirical study of the design of e-services of Internet food retailers. Key Words: Service Operations, E-Service, Co-production, Efficiency Analysis, Data Envelopment Analysis

Building trustworthy e-Commerce wesite

The process of building consumer trust in E-Commerce is based on the presence of trust features or trust attributes in the websites. Consumer may examine e-Commerce websites for the existence of trust attributes. However, to date, which trust attributes contribute to the website’s trustworthiness and which trust attributes give more value to consumer has not been adequately explored. Therefore, the purpose of the paper is to look for the relevant trust attributes for e-Commerce websites and to identify the importance ranking of trust attributes that contribute significantly to the trustworthiness of e-Commerce website. Various journal papers and articles related to e-Commerce field have been referred in order to identify the trust attributes. An online survey that received 1230 respondents was carried out to investigate the importance ranking of ten trust attributes. The paper contributes to the discussion on how to build trust in e-Commerc

A Study of Customer Behaviour Through Web Mining

Web mining is the extraction of interesting and potentially useful patterns and hidden information from web documents and web activities by applying data mining technology. The most important challenge of electronic commerce (E-commerce) is to understand as much as possible the customers ’ wants, desires, and buying patterns to ensure competitiveness in the E-commerce era. Nowadays, any information related to consumer behavior has an important value in the highly competitive nature of the E-commerce market. Therefore, web mining can be used to find those obvious data that have potential value to reduce competition and simultaneously increase business profit. This paper aims to study the classification of web mining to extract customer behavior in E-commerce, investigate customer behavior through the techniques and processes of the web data mining used, explore the application of web mining in E-commerce, and increase profit