Search results

Young offenders are disproportionately represented in the Irish Prison Service (IPS) and are a population with complex needs and highest risk of re-offending. Subsets of young offenders in IPS are placed on Protection for their own and/or other’s safety. There is limited research regarding the experiences of young offenders, and there is none on the subjective experiences of young offenders on Protection that could be identified. This study aims to address a limitation of a previous study on the experiences of young offenders in an Irish prison (Hughes et al., 2017) by providing insight into experiences of young offenders on Protection in Mountjoy Prison.

Using a non-experimental, qualitative, semi-structured interview design, a purposive sampling method was used, and six young offenders participated. Interviews were audio-recorded and transcribed verbatim with potentially identifiable information removed to ensure anonymity. An interpretative phenomenological analysis was applied to interpret the data.

Two superordinate themes provided an overview of the young offender’s experiences of Protection in an Irish prison: ‘Social Order on Protection’ and ‘Adjustment on Protection’.

Even though it is a relatively small sample size, this study contributes to existing literature and considers sentence management and clinical implications.

This study helps to address a gap in literature by providing insight into the overall experiences of young male offenders (aged 18–21) on Protection in an Irish prison. The findings are in line with most researches, which highlight additional negative consequences of “restrictive prisons regimes” such as Protection. This study provides information to prisons for the development of best practice guidelines and better sentence management and delivery of services to young offenders on Protection.

The purpose of this paper is to evaluate the effectiveness of a brief, Cognitive Behaviour Therapy-based group intervention in anger management with male offenders. All participants were the subject of a stipulation to attend the programme under a probation order, and were at the time of the study being managed in the community.

Totally, 105 offenders attended the anger management programme, which was delivered by the Probation Board for Northern Ireland (PBNI), between 2008 and 2010 across a range of centres, representing most regions of the province. Prior to treatment, the offenders completed two measures: The State Trait Anger Expression Inventory (STAXI), and the Stages of Change Scales (SCS). Both these measures were also completed at the end of the programme of treatment.

It was found that the programme significantly reduced the expression of anger as well as state and trait anger among offenders referred to the programme as measured by the STAXI. Both the action and maintenance subscales of the SCS were significant predictors of improvement in anger expression. The action subscale was shown to be a valuable predictor of readiness for change amongst the offenders.

Assessing an offender’s readiness to change may enhance selection for specific rehabilitation programs thus reducing drop-out rates leading to a more efficient use of resources. This study demonstrates that those participants who were found to be more ready for change, benefited most from the intervention programme.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This paper seeks to examine the management of General Electric's (GE) Olympic sponsorship and provides insights related to the organizational and transformational leadership dynamics involved in the development, implementation and activation of the sponsorship, as well as the results of pull‐through marketing efforts and the sponsorship's impact on GE's global business practices, brand equity, and revenue.

The case‐study method was used due to the complexity and specificity of the topic, and the fact that only a discrete element of the sport sponsorship sector and a limited number of events and their relationships were addressed.

The primary objective of GE's The Olympic Partner (TOP) sponsorship was to enter the Chinese market and build brand equity across Asia. Using GE's proprietary WorkOut™ and Change Acceleration models, transformational leaders facilitated the development and implementation of a new integrated organizational structure that enabled GE to maximize branding opportunities in Asia, product/service pull‐through marketing opportunities, and return on objectives.

This paper demonstrates how GE has effectively modified the structure of its global sales unit, generated revenue, and increased brand recognition in emerging markets across Asia. GE's management of its TOP sponsorship represents an innovative model for Chief Financial Officers, Chief Marketing Officers, brand managers, and sport marketers considering a long‐term sponsorship investment.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.