The display of electronic commerce within virtual environments

In today’s competitive business environment, the majority of companies are expected to be represented on the Internet in the form of an electronic commerce site. In an effort to keep up with current business trends, certain aspects of interface design such as those related to navigation and perception may be overlooked. For instance, the manner in which a visitor to the site might perceive the information displayed or the ease with which they navigate through the site may not be taken into consideration. This paper reports on the evaluation of the electronic commerce sites of three different companies, focusing specifically on the human factors issues such as perception and navigation. Heuristic evaluation, the most popular method for investigating user interface design, is the technique employed to assess each of these sites. In light of the results from the analysis of the evaluation data, virtual environments are suggested as a way of improving the navigation and perception display constraints

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

Datamining for Web-Enabled Electronic Business Applications

Web-Enabled Electronic Business is generating massive amount of data on customer purchases, browsing patterns, usage times and preferences at an increasing rate. Data mining techniques can be applied to all the data being collected for obtaining useful information. This chapter attempts to present issues associated with data mining for web-enabled electronic-business

Measuring University Web Site Quality: A Development of a User-Perceived Instrument and its Initial Implementation to Web sites of Accounting Departments in New Zealand's Universities

The emergent popularity of Web technologies and their applications have created vast opportunities for organisations, including institutions of higher education, to stretch out for broader customers and create greater networking relationships. The global and far-reaching nature of the Web, its various interactive capabilities, and the rapid growth of the Web use worldwide have made university Web sites more essential for promotion and commercial purposes. However, it has been acknowledged that in order to gain the benefits from Web utilisation, a well-designed Web site is needed. Previous studies on quality of Web sites are not lacking, but most of them have been focussed mainly on business Web sites. Empirical research that focuses on the Web site quality of institutions of higher education has been scarce. In this study, an instrument for measuring university Web site quality was developed and validated by taking into account both the perspectives of the users and the importance of its informational content. The instrument was subsequently put to the test by implementing it for measuring and ranking the quality of Web sites of Accounting Departments in New Zealand's universities. The results from this initial application substantiated the validity and reliability of the instrument.University Web sites, Web site quality, Instrument development, Accounting Department Web sites ranking

Please, talk about it! When hotel popularity boosts preferences

Many consumers post on-line reviews, affecting the average evaluation of products and services. Yet, little is known about the importance of the number of reviews for consumer decision making. We conducted an on-line experiment (n= 168) to assess the joint impact of the average evaluation, a measure of quality, and the number of reviews, a measure of popularity, on hotel preference. The results show that consumers' preference increases with the number of reviews, independently of the average evaluation being high or low. This is not what one would expect from an informational point of view, and review websites fail to take this pattern into account. This novel result is mediated by demographics: young people, and in particular young males, are less affected by popularity, relying more on quality. We suggest the adoption of appropriate ranking mechanisms to fit consumer preferences. © 2014 Elsevier Ltd

An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of L´evy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

An assessment of the Irish speciality food enterprises’ use of the internet as a marketing tool

End of Project ReportThis study set out to explore the role of the Internet as a marketing tool for Irish speciality food producers and to research on-line speciality food sales as a business opportunity. The project achieved this through a combination of consumer focus groups, a producer web audit, producer depth interviews and an e-mailed on-line producer survey. Irish consumers acknowledged potential for on-line sales of Irish speciality food products to export and gift markets; however they could not see significant advantages for on-line sales in the domestic market. Experience with the product (and consequent importance of the purchase experience), the high delivery cost of an already premium priced product and difficulties associated with receipt of deliveries were identified as the main reasons for not purchasing on-line

E-COMMERCE IN AGRICULTURE: DEVELOPMENT, STRATEGY, AND MARKET IMPLICATIONS

Marketing,