A conceptual framework for value co-creation practices in C2C social commerce environment

The concepts of value creation and co-creation have been widely discussed, yet the contribution that information and communication technologies (ICTs) can make in this area is under-researched. The objective of this study is to investigate the nature of value creation and co-creation practices in C2C social commerce highlighting the role of ICT in the practices. This research in progress paper outlines the development of a framework which will be used to investigate the relationship between ICT and value creation in the C2C social commerce environment. The framework concentrates on four key elements in the co-creation of value: the role of ICT; relationships; actors; and types of value. The framework has been developed based on an extensive literature review of relevant research in the areas of Marketing and Information Systems. The intention is to test the framework on C2C social commerce sites in South East Asia

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

Dynamical trust and reputation computation model for B2C E-Commerce

Trust is one of the most important factors that influence the successful application of network service environments, such as e-commerce, wireless sensor networks, and online social networks. Computation models associated with trust and reputation have been paid special attention in both computer societies and service science in recent years. In this paper, a dynamical computation model of reputation for B2C e-commerce is proposed. Firstly, conceptions associated with trust and reputation are introduced, and the mathematical formula of trust for B2C e-commerce is given. Then a dynamical computation model of reputation is further proposed based on the conception of trust and the relationship between trust and reputation. In the proposed model, classical varying processes of reputation of B2C e-commerce are discussed. Furthermore, the iterative trust and reputation computation models are formulated via a set of difference equations based on the closed-loop feedback mechanism. Finally, a group of numerical simulation experiments are performed to illustrate the proposed model of trust and reputation. Experimental results show that the proposed model is effective in simulating the dynamical processes of trust and reputation for B2C e-commerce

The Role of Service-provider’s Attributes in Sharing Economy: a Data-driven Study from the Perspective of Trust

Trust has been found as the key determinant of consumer decisions in sharing economy platforms, and service-provider’s attributesare crucial fortrust building but rarelystudied. In this paper, we investigate the effect of host’s attributes on consumer’s purchasing behaviors in xiaozhu.com, a leading short rental platform in China. Specifically, we argue that host’s attributescan influencetrustworthiness from the perspective of benevolence, ability, integrity andhave significant effects on orders. Furthermore, it isfound that consumers prefer to choose women as hosts when book single roomsand genderis an influencing factor in the decision process of ordering. These findings imply that service-provider’s attributes can contribute to trust building and decisionmaking in sharing economy. It’s expected to make contributions to trust studytheoretically and provide practical trust development guidesfor sharing economy platforms

Critical review of the e-loyalty literature: a purchase-centred framework

Over the last few years, the concept of online loyalty has been examined extensively in the literature, and it remains a topic of constant inquiry for both academics and marketing managers. The tremendous development of the Internet for both marketing and e-commerce settings, in conjunction with the growing desire of consumers to purchase online, has promoted two main outcomes: (a) increasing numbers of Business-to-Customer companies running businesses online and (b) the development of a variety of different e-loyalty research models. However, current research lacks a systematic review of the literature that provides a general conceptual framework on e-loyalty, which would help managers to understand their customers better, to take advantage of industry-related factors, and to improve their service quality. The present study is an attempt to critically synthesize results from multiple empirical studies on e-loyalty. Our findings illustrate that 62 instruments for measuring e-loyalty are currently in use, influenced predominantly by Zeithaml et al. (J Marketing. 1996;60(2):31-46) and Oliver (1997; Satisfaction: a behavioral perspective on the consumer. New York: McGraw Hill). Additionally, we propose a new general conceptual framework, which leads to antecedents dividing e-loyalty on the basis of the action of purchase into pre-purchase, during-purchase and after-purchase factors. To conclude, a number of managerial implementations are suggested in order to help marketing managers increase their customers’ e-loyalty by making crucial changes in each purchase stage

Generating Procedural Controls to Facilitate Trade: The Role of Control in the Absence of Trust

Over the years, Trust has been recognized in the Bled community as a key enabling factor to stimulate Electronic Commerce. Authors have discussed formal aspects of trust, the role trust plays in the adoption of both B2B and B2C Electronic Commerce, as well as mechanisms to build trust and/or overcome the lack of it. This article first provides a brief overview of the Trust-related articles in the Bled eConference. It then focuses on one specific aspect of the facilitation of trade in absence of trust: the development of procedural controls that enable Electronic Commerce at arms’ length, summarizing the contributions of the authors on this theme at the Bled Conference since the early 1990s. The paper concludes with the authors’ current view on developing procedural controls, focusing on the design process itself, which is often a rather lengthy process consisting of trial-and -error. Here a more analytical approach is proposed to the identification of control requirements for inter-organizational procedures. The approach involves abstracting the process to identify its basic deontic elements. A model checking approach is then applied to identify needed controls

Systematic Measurement of Centralized Online Reputation Systems

Background: Centralized online reputation systems, which collect users' opinions on products, transactions and events as reputation information then aggregate and publish it, have been widely adopted by Internet companies. These systems can help users build trust, reduce information asymmetry and lter information. Aim: Much research in the area has focused on analyzing single type systems and the cross-type evaluation usually concentrates on one aspect of the system. This research proposes a systematic evaluation model (SERS) that can measure different types of reputation system. Method: From system perspective, all reputation systems can be divided into five underlying components. Input refers to the collection of ratings and reviews; Processing is the aggregation of ratings. Output publishes the information. Feedback Loop is the collection of the feedback of the review, which can be seen as the `review of the review'; Finally, Storage stores all the information. Therefore, based on each component's characteristics, a series of benchmark criteria can be dened and incorporated into the model. Results: The SERS has dened 29 criteria, which can compare and measure different aspects of reputation systems. The model was theoretically assessed on its coverage of the successful factors of reputation systems and the technical dimensions of information systems. The model has also been empirically assessed by applying it to 15 commercial sites. Conclusion: The results obtained indicated that the SERS model has identified most important characteristics that have been proposed by reputation systems literature. In addition the SERS has covered most dimensions of the two basic technical information system measurements: information quality and system quality. The empirical assessment has shown that the SERS can evaluate dierent types of reputation systems and is capable of identifying the weakness of current systems