Factors That Impact Technology Innovation Adoption Among Irish Professional Service Sector SMEs

This paper disseminates the findings from a study into the factors impacting technological innovation adoption and diffusion specific to the deployment of electronic-commerce strategies within professional service sector SMEs in Ireland. Confirmatory factor analysis was performed and seven factors relating to a firm's external/internal environment were found to underpin adoption. These are: electronic-commerce capability; willingness to change/rate of response to new technologies; technological opportunity recognition; customer orientation; sensitivity to competitive/customer environments; perceptions of technology feasibility; and e-skills development mechanisms. t-tests revealed differences between adopters and non-adopters, and forward stepwise logistic regression is used to assess the extent to which these seven factors actually predict electronic-commerce adoption. It was found that electronic-commerce capability and the willingness to change/rate of response to new technologies are the two most important factors affecting adoption behaviours. © Imperial College Press.

Understanding online customer repurchasing intention and the mediating role of trust - an empirical investigation in two developed countries

Although e-commerce adoption and customers initial purchasing behavior have been well studied in the literature, repeat purchase intention and its antecedents remain understudied. This study proposes a model to understand the extent to which trust mediates the effects of vendor-specific factors on customers intention to repurchase from an online vendor. The model was tested and validated in two different country settings. We found that trust fully mediates the relationships between perceived reputation, perceived capability of order fulfillment, and repurchasing intention, and partially mediates the relationship between perceived website quality and repurchasing intention in both countries. Moreover, multi-group analysis reveals no significant between-country differences of the model with regards to the antecedents and outcomes of trust, except the effect of reputation on trust. Academic and practical implications and future research are discussed. © 2009 Operational Research Society Ltd.

E-Commerce Innovations in the Personal Tax System of the United Kingdom

This study finds evidence that attempts to reduce costs and error rates in the Inland Revenue through the use of e-commerce technology are flawed. While it is technically possible to write software that will record tax data, and then transmit it to the Inland Revenue, there is little demand for this service. The key finding is that the tax system is so complex that many people are unable to complete their own tax returns. This complexity cannot be overcome by well-designed software. The recommendation is to encourage the use of agents to assist taxpayers or simplify the tax system. The Inland Revenue is interested in saving administrative costs and errors by encouraging electronic submission of tax returns. To achieve these objectives, given the raw data it would seem clear that the focus should be on facilitating the work of agents.

Estimation of the size of onset of sexual maturity in Nephrops norvegicus (L.).

Size at onset of maturity (SOM) was estimated for both male and female Nephrops from primary sexual characteristics and morphometric traits. SOM estimated from primary sexual characteristics based on histological examination of the gonad ranged from 15.1 mm carapace length (CL) in males to 22.9 mm CL in females. Nephrops morphometric maturity, or change in allometric growth of body parts, was estimated from appendix masculina and cutter claw lengths in males and abdomen width in females from two sites in the Irish Sea. Two regression techniques were used to estimate morphometric maturity. Estimated SOM from morphometric characteristics ranged from 23.2 to 27.6 mm CL in females and from 25.9 to 31.0 mm CL in males. Spatial variation in SOM was observed in Nephrops from different parts of the Irish Sea.

Adoption from Care in Northern Ireland: Problems in the process

This is a study of the processes for freeing children for adoption in Northern Ireland. The focus was the time taken from admission to care to adoption order. The findings confirmed that the process is dogged by delay at each stage. In total the average time from the child becoming looked after to the granting of an adoption order was 4.5 years. Most of the time taken was in the stages for which social services had lead responsibility, principally the decision to pursue adoption as the plan for a child. The children were very young when admitted to care - average age 1 year 7 months. Most were admitted to care because they were being neglected. Their parents were well known to social services and had multiple problems. Most parents unsuccessfully contested the social services' application and this contributed much to the delay. Their former foster parents adopted almost half of the children and these children tended to be placed more quickly with their adopters than those placed with adopters who were not their foster parents prior to the adoption process.

Risk assessment of E-Commerce projects using evidential reasoning

The purpose of this study is to develop a decision making system to evaluate the risks in E-Commerce (EC) projects. Competitive software businesses have the critical task of assessing the risk in the software system development life cycle. This can be conducted on the basis of conventional probabilities, but limited appropriate information is available and so a complete set of probabilities is not available. In such problems, where the analysis is highly subjective and related to vague, incomplete, uncertain or inexact information, the Dempster-Shafer (DS) theory of evidence offers a potential advantage. We use a direct way of reasoning in a single step (i.e., extended DS theory) to develop a decision making system to evaluate the risk in EC projects. This consists of five stages 1) establishing knowledge base and setting rule strengths, 2) collecting evidence and data, 3) determining evidence and rule strength to a mass distribution for each rule; i.e., the first half of a single step reasoning process, 4) combining prior mass and different rules; i.e., the second half of the single step reasoning process, 5) finally, evaluating the belief interval for the best support decision of EC project. We test the system by using potential risk factors associated with EC development and the results indicate that the system is promising way of assisting an EC project manager in identifying potential risk factors and the corresponding project risks.