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The development of Information and Communication Technologies (ICT) and the widespread growth of Internet has revolutionized the way of performing commercial operations. Due to this the organizations must reconsider the use of systemic thinking and aim their business models towards more globalized tendencies. All this has helped many companies to see the electronic commerce as a new way of on-line...
The amount of information on the Internet is getting larger and larger, and the energy of the consumer and the ability to deal with information is limited. Electricity supplier enterprises in the development process to do are to use big data for personalized shopping guide. This paper analyzes the situation of the development of e-commerce industry in the background of big data, and puts forward the...
In today's open market, e-commerce has developed its strategy to process various business applications. There applications are developed with the platforms like Magento, Zen Cart, Prestashop, Spree etc., to run a successful online store. These are also used for customer e-commerce apps and require a scalable database for storing the data. The NoSQL database provides an efficient storage access and...
Due to the rapid development of network information, e-commerce has entered the era of big data. From these large data mining the useful information has a high commercial value, especially for short life cycle products, improve it in each stage of life cycle prediction ability, in addition to some of the conventional data mining model depends on the specific data mining platform, and can't realize...
The increasing growth of e-commerce industry in Indonesia motivates e-commerce sites to provide better services to its customer. One of the strategies to improves e-commerce services is by providing personal recommendation, which can be done using recommender systems. However, there is still lack of studies exploring the best technique to implement recommender systems for e-commerce in Indonesia....
This paper focus on building recommender system with weighted parallel hybrid method for e-commerce in Indonesia. The dataset was derived from one of the largest ecommerce company in Indonesia. The experiments used three sampling techniques, namely bootstrapping validation, timing series and systematic sampling. The best result of these experiments yields F1-measure of 9.99% which is achieved by the...
Despite the rapid growth of social commerce, there is only a limited understanding of how social media technologies, marketers and customers can interact to achieve business initiatives and opportunities. This study develops an integrative formative model outlining key qualities and dimensions of social commerce and their interactions. The model was validated with a field survey of 1250 social commerce...
This paper measures marketing ability and financial performance and examines what cause the overall operations inefficiency based on the operational process decomposition. The empirical research on e-portal and e-commerce company show that e-portal company has better marketing ability while e-commerce firm has better financial performance. For e-commerce company, it is marketing ability conversion...
With the advent of big data phenomenon in the world of data and its related technologies, the developments on the NoSQL databases are highly regarded. It has been claimed that these databases outperform their SQL counterparts. The aim of this study is to investigate the claim by evaluating the document-oriented MongoDB database with SQL in terms of the performance of common aggregated and non-aggregate...
Recommender systems provide users with personalized suggestions about products or services. General task of recommender systems is to improve recommendation accuracy, but this paper mostly focuses on improving the degree of surprise, using SVD++ (singular value decomposition) model. First, logistic regression method is used to process raw data including different sorts of user actions on brands, such...
Automated trading has become very popular in electronic markets, such as stock market. The design and evaluation of trading agents are not trivial due to the complexity and dynamics of this scenario. Using an actual and reliable dataset from the Brazilian Stock Exchange, and aiming to support the Market Making process in High-Frequency Trading, in this work we design and evaluate some models of automated...
E-commerce has been one critical component of information society now; however credit is becoming a bottleneck for its further development. Therefore Shanghai is building a third-party e-commerce credit evaluation platform. The platform will be integrated with many external systems to collect massive credit-related data, do scientific evaluation and provide users with personalized credit services...
Trustworthy e-commerce applications are not easy to design. Currently, patches are periodically released to countermeasure trust issues that arise in e-commerce communities. In this paper, we propose a methodology for designing trustworthy applications that enables an application designer to model applications resilient to trust related threats early in the development life cycle. Such modeling requires...
Prior studies had notably figured out that security, satisfaction, and trust are very critical elements in mobile-based banking usage. This study is to propose an explanatory and exploratory research framework based on the Expectation Confirmation Model. The results showed that perceived security and satisfaction were strong determinant factors for the formation of consumers' reuses decisions and...
Traditional E-Commerce applications have evolved in the last years due to the growth of the mobile environment, creating a new research area known as U-Commerce. The application of these techniques in the banking environment has been a direct outcome in order to enhance the services offered to end users. In this paper, we present a context-aware mobile recommender system based on real banking data...
Combination of mobile Agent, Aglet platform and the Java language, this paper presents a security framework of e-commerce based on mobile agents and its implementation. In electronic shopping process, for example, the security issues of a mobile agent encountered in the system was detailed analysis when it migrated, registration, licensing and information exchange, and so on. The security framework...
Recommendation systems apply statistical and knowledge discovery techniques to the problem of making product recommendations and they are achieving widespread success in E-Commerce these days. A successful recommendation system fulfils several purposes and the choice of the methodology significantly influences the quality of recommendations and other aspects including scalability. As the volume of...
The competition between enterprise will rise to service competition in the era of network economy. The enterprise of E-commerce must construct personalized service model in order to provide accurate, deepen service for customers. The Web Mining provide more accurate service which enhance the customer loyalty through data collection, data preprocessing, establishing model and model analysis so as to...
This paper describes the building process of the warehouse platform on the e-commerce systems, including research the basic theory, the system design, the ETL design of data preprocessing, as well as the OLAP analysis. The last part is a data warehouse implementation within the electronic commerce system. The paper realizes the real-time data warehouse modeling on the web platform. ETL data processing...
The credit problem has been the development of Chinese e-commerce has had an important impact on both buyers and sellers of credit trends and third-party websites is forecast counterparties important reference factors in successful trading. Buyers and sellers and websites on the characteristics and factors as a whole system. Use of system dynamics theory to analyze the causal relationship of elements...
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