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

Understanding Gender-Based Differences in Consumer E-Commerce Adoption

Despite the spread of e-commerce, few studies have investigated gender-based differences in the adoption of consumer-oriented electronic commerce. Theory and evidence from other domains indicates that such differences may exist. Using innovation diffusion theory as a framework, we empirically investigate whether the impact of beliefs regarding the characteristics of e-commerce and the trustworthiness of Web merchants on intentions to use e-commerce differ according to gender. Results indicate that such differences do exist. Perceived compatibility and visibility have greater impacts for women. In contrast, males\u27 use intentions are more driven by perceived relative advantage and result demonstrability. No differences were found for perceived ease of use and Web merchant trustworthiness

E-Commerce Model based on Fuzzy Based Certain Trust Model

Trustworthiness especially for service oriented system is very important topic now a day in IT field of the whole world. There are many successful E-commerce organizations presently run in the whole world, but E-commerce has not reached its full potential. The main reason behind this is lack of Trust of people in e-commerce. Again, proper models are still absent for calculating trust of different e-commerce organizations. Most of the present trust models are subjective and have failed to account vagueness and ambiguity of different domain. In this paper we have proposed a new fuzzy logic based Certain Trust model which considers these ambiguity and vagueness of different domain. Fuzzy Based Certain Trust Model depends on some certain values given by experts and developers can be applied in a system like cloud computing, internet, website, e-commerce, etc. to ensure trustworthiness of these platforms. In this paper we show, although fuzzy works with uncertainties, proposed model works with some certain values. Some experimental results and validation of the model with linguistics terms are shown at the last part of the paper

Development of an intelligent e-commerce assurance model to promote trust in online shopping environment

Electronic commerce (e-commerce) markets provide benefits for both buyers and sellers; however, because of cyber security risks consumers are reluctant to transact online. Trust in e-commerce is paramount for adoption. Trust as a subject for research has been a term considered in depth by numerous researchers in various fields of study, including psychology and information technology. Various models have been developed in e-commerce to alleviate consumer fears, thus promoting trust in online environments. Third-party web seals and online scanning tools are some of the existing models used in e-commerce environments, but they have some deficiencies, e.g. failure to incorporate compliance, which need to be addressed. This research proposes an e-commerce assurance model for safe online shopping. The machine learning model is called the Page ranking analytical hierarchy process (PRAHP). PRAHP builds complementary strengths of the analytical hierarchy process (AHP) and Page ranking (PR) techniques to evaluate the trustworthiness of web attributes. The attributes that are assessed are Adaptive legislation, Adaptive International Organisation for Standardisation Standards, Availability, Policy and Advanced Security login. The attributes were selected based on the literature reviewed from accredited journals and some of the reputable e-commerce websites. PRAHP’s paradigms were evaluated extensively through detailed experiments on business-to-business, business-to-consumer, cloud-based and general e-commerce websites. The results of the assessments were validated by customer inputs regarding the website. The reliability and robustness of PRAHP was tested by varying the damping factor and the inbound links. In all the experiments, the results revealed that the model provides reliable results to guide customers in making informed purchasing decisions. The research also reveals hidden e-commerce topics that have not received attention, which generates knowledge and opens research questions for future researchers. These ultimately made significant contributions in e-commerce assurance, in areas such as security and compliance through the fusing of AHP and PR, integrated into a decision table for alleviating trustworthiness anxiety in various e-commerce transacting partners, e-commerce platforms and markets.College of Engineering, Science and TechnologyD. Phil. Information System