Repurchase intention in B2C e-commerce—A relationship quality perspective

Information systems professionals must pay attention to online customer retention. Drawing on the relationship marketing literature, we formulated and tested a model to explain B2C user repurchase intention from the perspective of relationship quality. The model was empirically tested through a survey conducted in Northern Ireland. Results showed that online relationship quality and perceived website usability positively impacted customer repurchase intention. Moreover, online relationship quality was positively influenced by perceived vendor expertise in order fulfillment, perceived vendor reputation, and perceived website usability, whereas distrust in vendor behavior negatively influenced online relationship quality. Implications of these findings are discussed. © 2011 Elsevier B.V. All rights reserved.

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Towards Improving the Utilisation of University Teaching Space

There is a perception that teaching space in universities is a rather scarce resource. However, some studies have revealed that in many institutions it is actually chronically under-used. Often, rooms are occupied only half the time, and even when in use they are often only half full. This is usually measured by the ‘utilization’ which is defined as the percentage of available ‘seat-hours’ that are employed. Within real institutions, studies have shown that this utilization can often take values as low as 20–40%. One consequence of such a low level of utilization is that space managers are under pressure to make more efficient use of the available teaching space. However, better management is hampered because there does not appear to be a good understanding within space management (near-term planning) of why this happens. This is accompanied, within space planning (long-term planning) by a lack of experise on how best to accommodate the expected low utilizations. This motivates our two main goals: (i) To understand the factors that drive down utilizations, (ii) To set up methods to provide better space planning. Here, we provide quantitative evidence that constraints arising from timetabling and location requirements easily have the potential to explain the low utilizations seen in reality. Furthermore, on considering the decision question ‘Can this given set of courses all be allocated in the available teaching space?’ we find that the answer depends on the associated utilization in a way that exhibits threshold behaviour: There is a sharp division between regions in which the answer is ‘almost always yes’ and those of ‘almost always no’. Through analysis and understanding of the space of potential solutions, our work suggests that better use of space within universities will come about through an understanding of the effects of timetabling constraints and when it is statistically likely that it will be possible for a set of courses to be allocated to a particular space. The results presented here provide a firm foundation for university managers to take decisions on how space should be managed and planned for more effectively. Our multi-criteria approach and new methodology together provide new insight into the interaction between the course timetabling problem and the crucial issue of space planning.

Identity issues for looked after children with no knowledge of their origins - Implications for research and practice

In the area of child care policy and practice, the benefits for children who are separated from their birth parents of maintaining some form of connection with their family of origin is now widely accepted. The arguments in support of this are found mainly in research concerning adoption and stem from four inter-related themes: children's rights to know of their heritage and background; parents' rights to information about the well-being of their children; the benefits of having knowledge about origins; and concerns about the impact of not knowing. The effects on the developing identities of those who, for various reasons, are unlikely ever to know the details of their birth parent(s) is an under-researched issue. Karen Winter and Olivia Cohen use a case study to illustrate some of the gaps concerning knowledge in this area. They argue that there is much to be learnt from the development of research projects which have as their focus the accounts of children and young people, from a wide range of care arrangements, regarding identity issues where they have no connections with or knowledge about their birth parent(s).

Reflecting the Public Value of Sport: A game of two halves

This article draws on qualitative research that explores the concept of public value in the delivery of sport services by the organization Sport England. The research took place against a backdrop of shifting priorities following the award of the 2012 Olympic Games to London. It highlights the difficulties that exist in measuring the qualitative nature of the public value of sport and suggests there is a need to understand better the idea. Research with organizations involved alongside Sport England in the delivery of sport is described. This explores the potential to create a public value vision, how to measure it and how to focus public value on delivery beyond the aim of ‘sport for sports sake’ and more towards ‘sport for the greater good’. The article argues that this represents a game of ‘two halves’ in which the first half focuses on 2012 with the second half concerned with its legacy.

The Private Finance Initiative: An Evolving Research Agenda

This article considers the development of the Private Finance Initiative (PFI) and contends that it is now deeply embedded and intertwined in policies to renew and modernize the United Kingdom's public services. After briefly reviewing prior research based upon the themes proposed by Broadbent and Laughlin (1999), this article suggests a new research agenda to reflect how the PFI has matured and developed in recent years.

Using simulation to assess cardiac first-responder schemes exhibiting stochastic and spatial complexities

A Monte-Carlo simulation-based model has been constructed to assess a public health scheme involving mobile-volunteer cardiac First-Responders. The scheme being assessed aims to improve survival of Sudden-Cardiac-Arrest (SCA) patients, through reducing the time until administration of life-saving defibrillation treatment, with volunteers being paged to respond to possible SCA incidents alongside the Emergency Medical Services. The need for a model, for example, to assess the impact of the scheme in different geographical regions, was apparent upon collection of observational trial data (given it exhibited stochastic and spatial complexities). The simulation-based model developed has been validated and then used to assess the scheme's benefits in an alternative rural region (not a part of the original trial). These illustrative results conclude that the scheme may not be the most efficient use of National Health Service resources in this geographical region, thus demonstrating the importance and usefulness of simulation modelling in aiding decision making.

Towards Charity Accountability: Narrowing the gap between provision and needs?

Although charities currently play a rich and varied role in modern society, their continued success is dependent upon the public's trust. With respect to charity accountability, two key questions emerge: to whom is a charity accountable; and what form should that account take? Despite the widespread acceptance that charities should discharge accountability, there is limited knowledge of the relative importance of different stakeholder groups and whether the information currently being disclosed meets their needs. Using extensive document analysis and a survey of stakeholders, this research explores these issues in the context of the top 100 UK fundraising charities. Furthermore, it compares the results with much earlier research to identify changes over time.

Computational learning of the conditional phase-type (C-Ph) distribution: Learning C-Ph distributions

This paper presents a new algorithm for learning the structure of a special type of Bayesian network. The conditional phase-type (C-Ph) distribution is a Bayesian network that models the probabilistic causal relationships between a skewed continuous variable, modelled by the Coxian phase-type distribution, a special type of Markov model, and a set of interacting discrete variables. The algorithm takes a dataset as input and produces the structure, parameters and graphical representations of the fit of the C-Ph distribution as output.The algorithm, which uses a greedy-search technique and has been implemented in MATLAB, is evaluated using a simulated data set consisting of 20,000 cases. The results show that the original C-Ph distribution is recaptured and the fit of the network to the data is discussed.

Investigating the efficiency of fitting Coxian phase-type distributions to health care data

Coxian phase-type distributions are becoming a popular means of representing survival times within a health care environment. They are favoured as they show a distribution as a system of phases and can allow for an easy visual representation of the rate of flow of patients through a system. Difficulties arise, however, in determining the parameter estimates of the Coxian phase-type distribution. This paper examines ways of making the fitting of the Coxian phase-type distribution less cumbersome by outlining different software packages and algorithms available to perform the fit and assessing their capabilities through a number of performance measures. The performance measures rate each of the methods and help in identifying the more efficient. Conclusions drawn from these performance measures suggest SAS to be the most robust package. It has a high rate of convergence in each of the four example model fits considered, short computational times, detailed output, convergence criteria options, along with a succinct ability to switch between different algorithms.