Managerial Gaps in e-Banking Quality Drivers: An Empirical Assessment

Providing quality service to the customer is a main issue for e-banking. The extant literature on e-services has preferentially examined quality factors as perceived by customers. On the other hand, quality depends on the managerial perceptions about quality drivers and the decisions that would follow from these perceptions. According to SERVQUAL - the most known service quality model - any gaps between management’s and customers’ perceptions would affect the experienced quality and then the customer satisfaction. The aim of this paper is to explore how bank managers perceive quality drivers for e-banking through a preliminary empirical survey

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

Evaluating global e-government sites: A view using web diagnostics tools

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2004 The AuthorsSeveral governments across the world have embraced the digital revolution and continue to take advantage of the information and communication facilities offered by the Internet to offer public services. Conversely, citizens’ awareness and expectations of Internet based online-public-services have also increased in recent times. Although the numbers of the different national e-Government web portals have rapidly increased in the last three years, the success of these portals will largely depend on their accessibility, quality and privacy. This paper reports the results of an evaluative study of a cross-section of e-Government portals from these three perspectives, using a common set of performance metrics and Web diagnostic engines. Results show that not only are there wide variations in the spectrum of information and services provided by these portals, but that significant work still needs to be undertaken in order to make the portals examples of ‘best practice’ e-Government services

New technologies for e-commerce

Today electronic commerce (e-commerce) has changed the way of doing business, and contributes significantly to economic activity. In any case, e-commerce is not a static field but it is always evolving in order to support new and more complex real world processes. The agriculture sector is expected to undergo significant transformation as a result of new business models being adopted through ecommerce. Examples of the adoption of new technologies in agriculture are provided with a view to demonstrating the benefits that can be achieved. The first part I expound the basics of e-commerce and e-markets. After I describe potential benefits to agriculture from adoption of e-commerce. The last part I describe the ecommerce 2.0, what is a prospect evolution of e-commerce

Quality improvement of manuka honey through the application of high pressure processing

The quality of honey is known to be compromised when it goes through thermal processing due to its negative impact on the unstable and thermolabile honey components which originated from the nectar and bees themselves. This present work is undertaken to access the use of an emerging food preservation technique known as “High Pressure Processing” for treating honey, as an alternative to the conventional thermal processing. In this thesis, honey quality has been addressed by measuring the effects of high pressure processing parameters (pressure, time and temperature) on nutritional properties of honey, namely total phenolic content and antioxidant activity. Honey samples, contained in small pouches, were subjected to different pressures (200-600 MPa) at close to ambient temperatures (25-33°C) for different holding times (10 to 30 min). Thermal processing (49- 70°C) was also carried out for comparison purpose. Results demonstrated that high pressure processing operated at 600 MPa for 10 min has capability to increase significantly the total phenolic content and antioxidant activity by 47% and 30%, respectively. Besides, the result showed that high pressure processing can maintain the natural colour of honey which relates directly to consumer perception, while retaining its shear-thinning behaviour and viscosity with no significant changes (p > 0.05). High pressure processing can also control hydroxymethylfurfural (HMF) concentration in honey during process within the standard limit, 16.93 to 18.76 mg/kg (which is below than the maximum allowed limit of 40 mg/kg). This work also reveals that high pressure processing can enhance antibacterial activity of Manuka honey significantly. It shows an increase in the percentage inhibition of Staphylococcus epidermidis from 64.15 ± 5.86% to 84.34 ± 7.62% when honey was subjected to 600 MPa. Storage studies for one year at room temperature (25°C) demonstrated that high pressure-treated samples have a good retention to the physicochemical, nutritional and rheological properties of honey throughout storage, which confirms that the positive effect of high pressure on honey is not a temporary effect. Whereas, an insight study on the safety part showed that the Saccharomyces cerevisiae cell varied linearly with ° Brix, indicating that food compressibility has a significant role in the microbial inactivation

GoGlobal: How can contemporary design collaboration and e-commerce models grow the creative industries in developing countries?

Using previous case studies by the authors and a current live project, this paper considers whether the creative industries in a developing country (Ghana, Africa) can be nurtured through design collaboration and an e-commerce model to contribute significant economic growth through increasing international trade. The paper draws on practical experience of five annual projects, with a focus on GoGlobal Africa. Initiated in 2005, GoGlobal is a collaborative design research activity between the University of Technology Sydney, the Royal College of Art, the London School of Economics, RMIT Melbourne, and other partnering organisations. GoGlobal Africa was initiated in 2008 with 3 phases: creative studio with design students from the RCA UK and KNUST Ghana; an e-commerce process for supply, distribution and marketing; and a “hub” location to facilitate project delivery and dissemination. The context to GoGlobal is informed by the UNCTAD studies of global creative industries

HandyBroker - An intelligent product-brokering agent for M-commerce applications with user preference tracking

One of the potential applications for agent-based systems is m-commerce. A lot of research has been done on making such systems intelligent to personalize their services for users. In most systems, user-supplied keywords are generally used to help generate profiles for users. In this paper, an evolutionary ontology-based product-brokering agent has been designed for m-commerce applications. It uses an evaluation function to represent a user’s preference instead of the usual keyword-based profile. By using genetic algorithms, the agent tracks the user’s preferences for a particular product by tuning some parameters inside its evaluation function. A prototype called “Handy Broker” has been implemented in Java and the results obtained from our experiments looks promising for m-commerce use

Analysing the Role of Interactivity in User Experience

An experimental investigation into the role of interaction in user experience (UX) with a controlled manipulation of interactivity features (e.g. avatars, interactive video) in a university information website is reported. The more interactive version had better affect and hedonic ratings, even though its perceived usability was worse. Analysis of qualitative data showed users were attracted to the interactive features, although they complained about poor usability. The results of the experiments are discussed to consider the role of interactivity in user experience and the differences between users’ quantitative judgements of UX and their comments on interactive features which reveal different perspectives