Pengembangan Sistem E-commerce Dengan Teknologi Komponen Dan Framework Berorientasi Obyek

The purpose of this research was to design and to implement an ecommerce system using component and object-oriented framework technology. The component and object-oriented framework technology is based on a software reuse paradigm at a higher level. Use of the component and framework will significantly increase productivity by decreasing development time and resources. The research that is design in nature begins with analyzing and identifying specifications of the e-commerce system functionality in general. The resulting specifications are categorized functionally into modules and objects. The objects are grouped into three logical categories: objects that deal with presentation aspects, objects that deal with business rules and data, and objects that accept and interpret user requests and control the business objects to fulfill these requests. The program application would be implemented on the Java 2 Enterprises Edition Platform. The result of this research is an application of e-commerce system. The ecommerce system runs on local server of J2EE with URL http://localhost:8000/rbi/. By accessing the system from the main page through the end of transaction process, it is assumed that the performance of the ecommerce system would be in line with the expected research goals. The important web pages of the system among others are main page, product category, product item list, detail item description, shopping cart, log-in and log-out page, order notes, and other supporting pages. In addition, the system has a search facility and help. It is also developed an application for monitoring transaction activities done by customers. This e-commerce system was designed to be adapted to other products easily

Customer purchase behavior prediction in E-commerce: a conceptual framework and research agenda

Digital retailers are experiencing an increasing number of transactions coming from their consumers online, a consequence of the convenience in buying goods via E-commerce platforms. Such interactions compose complex behavioral patterns which can be analyzed through predictive analytics to enable businesses to understand consumer needs. In this abundance of big data and possible tools to analyze them, a systematic review of the literature is missing. Therefore, this paper presents a systematic literature review of recent research dealing with customer purchase prediction in the E-commerce context. The main contributions are a novel analytical framework and a research agenda in the field. The framework reveals three main tasks in this review, namely, the prediction of customer intents, buying sessions, and purchase decisions. Those are followed by their employed predictive methodologies and are analyzed from three perspectives. Finally, the research agenda provides major existing issues for further research in the field of purchase behavior prediction online

AN INVESTIGATION ON WEBSITE ADOPTION AND PERFORMANCE ON IRANIAN HOTELS

This study investigates website adoption and performance among Iranian hotels. Using content analysis technique, this study identifies the presence of 28 website features on 57 Iranian hotels. The results found Iranian hotels are at very early stage of Internet adoption. E-commerce activities are very minimal among the Iranian hotels as none of the hotels provide online reservation. This study adds to the limited study of e-commerce and hospitality in Iran.E-tourism, Website, Evaluation, Hotel, Iran

Culture and e-commerce: An exploration of the perceptions and attitudes of Egyptian internet users

This paper examines the perceptions and attitudes that Egyptian users hold towards electronic shopping sites. Internet sites are globally available, opening up huge potential markets for online retailers. However, it remains unclear whether sites designed for the US or European markets will be acceptable in other cultures. This paper describes an exploratory card sorting study conducted with Egyptian consumers. The study was designed to examine the e-commerce interface features that are most salient to this user group and to explore how these relate to user intentions to engage in internet shopping. The results support the role of site familiarity in predicting purchase intentions within this cultural setting

Automatic domain ontology extraction for context-sensitive opinion mining

Automated analysis of the sentiments presented in online consumer feedbacks can facilitate both organizations’ business strategy development and individual consumers’ comparison shopping. Nevertheless, existing opinion mining methods either adopt a context-free sentiment classification approach or rely on a large number of manually annotated training examples to perform context sensitive sentiment classification. Guided by the design science research methodology, we illustrate the design, development, and evaluation of a novel fuzzy domain ontology based contextsensitive opinion mining system. Our novel ontology extraction mechanism underpinned by a variant of Kullback-Leibler divergence can automatically acquire contextual sentiment knowledge across various product domains to improve the sentiment analysis processes. Evaluated based on a benchmark dataset and real consumer reviews collected from Amazon.com, our system shows remarkable performance improvement over the context-free baseline

Understanding the consumption process through in-branch and e-mortgage service channels: A first-time buyer perspective

This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here (////BURA web address here). Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.Purpose – The twin aims of this paper are to explore the differences in the consumption process between the traditional in-branch and web-based (e-mortgage) service channels and how the differences relate to any problems identified in the electronic service environment, with respect to information search and product evaluation. Design/methodology/approach – A process-oriented approach comparing the two service channels (in-branch vs e-mortgage) was conducted in two study phases. Data from the e-mortgage process were collected using protocol analysis with 12 first-time buyers (FTBs) applying on a website belonging either to a hybrid or to an internet-only bank. Results of the e-mortgage process were mapped on to stages of the in-branch process, which was captured by observation of six FTB mortgage interviews to determine the level of correspondence and emergent issues. Findings – Support for the FTB in the e-mortgage process was problematic and service provision was found to be product- rather than consumer-oriented. Practical implications – The study highlights the importance of design issues in the electronic service environment for creating confidence in the online advice and information available on home mortgages for FTBs. Originality/value – The paper promotes increased understanding by financial service providers of the characteristics that support the consultative selling process for complex products such as mortgages and inform multichannel retailing