The increasing popularity of service-based applications accounts for the growth of e-commerce, as e-commerce systems are maintained by service providers themselves. Further, service-based e-commerce systems provide a flexible, low-cost business model to enable customers to focus more on their core business. The business can easily meet the fluctuating demands of business transactions through this model. Emerging electronic commerce systems are expected to be available anytime, anywhere, and using different official or personal computing devices. Service-based e-commerce systems will have businesses as customers using an on-demand model. Differing from traditional electronic commerce, the timely reporting and resolution of customer issues resulting in enhanced customer service and ubiquitous usage are the advantages of service-based e-commerce systems. This special issue aims to expose the readership to the latest research results on service-based electronic commerce systems, including the key technologies, such as enhancing the scalability, reliability, operational portability, security, integration and performance of the services. The special issue is composed of 3 refereed papers covering such topics as smartphone-based multimedia services, online auction frauds detection methods and privacy preserving in commercial networks. The issue is expected to demonstrate pioneer work in this field, investigate the novel solutions and methods for services design and discuss the future trends in this field.
2 The papers in this special issue
The first paper, “Design of Trustworthy Smartphone-Based Multimedia Services in Cultural Environments” by Dimitrios Koukopoulos and Georgios Styliaras, investigates the issues in mobile multimedia services. Smartphone is a dynamic new media that faces high popularity due to its versatile services and the friendliness of its usage. It can be used in many activities of everyday life from ecommerce to e-tourism. It studied smartphone’s secure usability in cultural heritage sites and environments and made a first attempt towards a trustworthy commercial multimedia guiding system targeting cultural sites that will be executed in a set of smartphones. More specifically, authors are interested in how the needs of curators and visitors, experts or not, of a cultural heritage site can be facilitated by the provided multimedia guiding services of smartphones employing trustworthy implementations of smartphone services that are controlled by a central server. Furthermore, the study makes an attempt to propose a simple business model for the commercial exploitation of such services.
In the second paper, “Factors affecting privacy disclosure on social network sites: An integrated model” by Feng Xu, Katina Michael and Xi Chen, investigates the factors affecting privacy disclosure on social network sites. The self-disclosure of personal information by users on social network sites plays a vital role in the self-sustainability of online social networking service provider platforms. However, people’s levels of privacy concern increases as a direct result of unauthorized procurement and exploitation of personal information from the use of social networks which in turn discourages users from disclosing their information or encourages users to submit fake information online. An integrated model is proposed to explain privacy disclosure behaviors on social network sites. The paper found the key factors affecting users’ self-disclosure of personal information. Using privacy calculus, the perceived benefit was combined into the Theory of Planned Behavior, and after some modifications, an integrated model was prescribed specifically for the context of social network sites. While design the services in social networks or electronic commerce systems, the paper’s results can be used to reduce the levels of privacy concern.
The third paper, “Fuzzy Rule Optimization for Online Auction Frauds Detection based on Genetic Algorithm” by Cheng-Hsien Yu and Shi-Jen Lin, investigates the auction frauds issues in online auction sites. To improve the prevention of online auction frauds, this research will propose a hybrid approach to detect the fraudster accounts to help the users to identify which seller is more dangerous. In the research, social network analysis was used to produce the behavior features and transform these features into fuzzy rules which can represent the detection rules. Then optimize the fuzzy rules by genetic algorithms to build the auction fraud detection model. The proposed features and methodologies were used to detect the fraudster accounts and find out the detection models of them. This paper is expected to give some suggestions for service designers of online auctions or electronic commerce systems and help the website administrators to detect the possible collusive fraud groups easier in online auction.
Citation: Lian, S., Chen, X. & Michael, K. Electron Commer Res (2013) 13, No. 2: 125-127. https://doi-org.ezproxy.uow.edu.au/10.1007/s10660-013-9109-0, Springer US.