Destination management systems : towards a holistic effectiveness evaluation

This study aims to enhance the understanding of destination management system (DMS) effectiveness and its evaluation. Upon review of the literature, it was established that DMS effectiveness and its evaluation has not yet been researched adequately. Informed by an interpretive approach, this study contributes to research particularly by investigating what constitutes effectiveness and explores the aspects (factors and relationships) that need to be considered in a holistic DMS effectiveness evaluation. Based on a qualitative case study strategy, this study adopts a comprehensive approach that considers multiple stakeholder groups’ perspectives. The research evidence is collected through a case-study of the Egyptian DMS experience (the Touregypt project). The Touregypt project gives insights to the understanding of three DMS cases that have not been researched before in DMS literature: first, an actual DMS application in a developing country; second, a public and private sector partnership experience; and third, a failed DMS experience (the system has failed in the course of this research).Prompted by the interpretive approach, this study tried to explore DMS effectiveness based on the perspectives, attitudes and experiences of the multiple stakeholder groups (Hesse-Biber and Leavy 2010). Accordingly, the empirical data was collected through a multi-method approach that includes interviews, observation, archival document analysis (including Touregypt forum analysis), and website analysis. Data has been analyzed guided by discourse analysis, complemented with the general inductive approach of Miles and Huberman (1994). Following an interpretive theory-building strategy, the analyzed data has been further interpreted in the light of prior theories of DMS and information systems research, particularly the Delone and MacLean IS effectiveness theory (1992, 2003, and 2004).The main contribution of this study to knowledge is a theory based model that enhances the understanding of DMS effectiveness evaluation. The suggested model identifies the aspects (factors and relationships) that need to be considered when evaluating the effectiveness of DMS. Also, the results of this study give insights to the understanding of DMS effectiveness by shedding light on what constitutes effectiveness and the possible relationship between such constructs

Preventing Domestic Abuse for Children and Young People (PEACH): A Mixed Knowledge Scoping Review

Background: A range of interventions that aim to prevent domestic abuse has been developed for children and young people in the general population. While these have been widely implemented, few have been rigorously evaluated. This study aimed to discover what was known about these interventions for children and what worked for whom in which settings. Review methods: This mixed knowledge review was informed by realist principles and comprised four overlapping phases: an online mapping survey to identify current provision; a systematic review of the existing literature; a review of the UK ‘grey’ literature; and consultation with young people and experts. Information from these four sources of evidence informed analysis of costs and benefits. Results: The evidence for interventions achieving changes in knowledge and attitudes was stronger than that for behavioural change. Shifting social norms in the peer group emerged as a key mechanism of change. Media campaigns act to influence the wider social climate within which more targeted interventions are received, and they are also a source for programme materials. While most interventions are delivered in secondary schools, they are increasingly targeted at younger children. The review emphasised the importance of a school’s ‘readiness’ to introduce preventative interventions which need to be supported across all aspects of school life. Involving young people in the design and delivery of programmes increases authenticity and this emerged as a key ingredient in achieving impact. Longer interventions delivered by appropriately trained staff appeared likely to be more effective. Teachers emerged as well placed to embed interventions in schools but they require training and support from those with specialist knowledge in domestic abuse. There was evidence that small groups of students who were at higher risk might have accounted for some results regarding effectiveness and that programme effectiveness may vary for certain subgroups. Increasingly, boys are being identified as a target for change. The study identified a need for interventions for disabled children and children and young people from black, Asian, minority ethnic and refugee groups and a particular lack of materials designed for lesbian, gay, bisexual and transgender young people. Limitations: Very little evidence was identified on costs and cost-effectiveness. Few studies showed an effect at the level of significance set for the review. Where it did exist, the effect size was small, except in respect of improved knowledge. The inability to calculate a response rate for the mapping survey, which used a snowballing approach, limits the ability to generalise from it. Conclusions: While it is appropriate to continue to deliver interventions to whole populations of children and young people, effectiveness appeared to be influenced by high-risk children and young people, who should be directed to additional support. Programmes also need to make provision to manage any resulting disclosures. Interventions appear to be context specific, and so those already being widely delivered in the UK and which are likely to be acceptable should be robustly tested. Funding: The National Institute for Health Research Public Health Research programme

Methods for Utilizing Connected Vehicle Data in Support of Traffic Bottleneck Management

The decision to select the best Intelligent Transportation System (ITS) technologies from available options has always been a challenging task. The availability of connected vehicle/automated vehicle (CV/AV) technologies in the near future is expected to add to the complexity of the ITS investment decision-making process. The goal of this research is to develop a multi-criteria decision-making analysis (MCDA) framework to support traffic agencies’ decision-making process with consideration of CV/AV technologies. The decision to select between technology alternatives is based on identified performance measures and criteria, and constraints associated with each technology. Methods inspired by the literature were developed for incident/bottleneck detection and back-of-queue (BOQ) estimation and warning based on connected vehicle (CV) technologies. The mobility benefits of incident/bottleneck detection with different technologies were assessed using microscopic simulation. The performance of technology alternatives was assessed using simulated CV and traffic detector data in a microscopic simulation environment to be used in the proposed MCDA method for the purpose of alternative selection. In addition to assessing performance measures, there are a number of constraints and risks that need to be assessed in the alternative selection process. Traditional alternative analyses based on deterministic return on investment analysis are unable to capture the risks and uncertainties associated with the investment problem. This research utilizes a combination of a stochastic return on investment and a multi-criteria decision analysis method referred to as the Analytical Hierarchy Process (AHP) to select between ITS deployment alternatives considering emerging technologies. The approach is applied to an ITS investment case study to support freeway bottleneck management. The results of this dissertation indicate that utilizing CV data for freeway segments is significantly more cost-effective than using point detectors in detecting incidents and providing travel time estimates one year after CV technology becomes mandatory for all new vehicles and for corridors with moderate to heavy traffic. However, for corridors with light, there is a probability of CV deployment not being effective in the first few years due to low measurement reliability of travel times and high latency of incident detection, associated with smaller sample sizes of the collected data

10 steps to a digital practice in the cloud : new levels of CPA firm workflow efficiency

https://egrove.olemiss.edu/aicpa_guides/2718/thumbnail.jp

Building information modelling to support maintenance management of healthcare built assets

Purpose: This research investigated how digital capabilities associated with Building Information Modelling can integrate a wide range of information to improve built asset management decision making during the in-use phase of hospital buildings. Research methodology: A comprehensive document analysis and a participatory case study was undertaken with a regional NHS hospital to: review the type of information that can be used to better inform BAM decision making; to develop a conceptual framework to improve information use during the healthcare built asset management process; to test how the conceptual framework can be applied within a BAM division of a healthcare organisation; and to develop a cloud-based BIM application. Findings: BIM has the potential to facilitate better informed built asset management decision making by integrating: a wide range of information related to the physical condition of built assets; resources available for built asset management; and the built asset’s contribution to healthcare provision within an organisation. However, interdepartmental information sharing requires: a significant level of time and cost investment; and changes to information gathering and storing practices within the whole organisation. Originality/value: This research demonstrated that the implementation of BIM during the in-use phase of hospital buildings is different to that in the design and construction phases. At the in-use phase BIM needs to integrate and communicate information within and between the estates, facilities division and other departments of the organisation. This poses a significant change management task for the organisation’s information management systems. Thus, a strategically driven top-down organisational approach is needed to implement BIM for the in-use phase of hospital buildings

Formerly At-Risk, Undergraduate Alumni’s Mentoring Experiences at a Historically Black University

As evidence of the continuing attainment gap, students from low-socioeconomic backgrounds have a lower enrollment and completion rate in higher education. Although studies have documented that mentoring programs have the capability to address a variety of problems these students may face in completing college, there appeared to be limited research on examining their experiences in mentoring programs at historically Black colleges and universities (HBCUs). The purpose of this basic qualitative study was to understand the mentoring experiences of formerly at-risk, HBCU, undergraduate alumni. Astin’s theory of student involvement and Tinto’s theory of student retention provided the framework for understanding the undergraduate mentoring experiences of 9 HBCU alumni. Purposeful sampling was used to select the participants to be interviewed. Participants’ interview responses were analyzed and hand coded manually. From analysis of the results, 5 themes emerged: support during transition to college, mentoring guidance, development of relationships, the ability to address personal goals, and development of professional skills for future success. The participants described their mentoring experience as an integral component in their academic and social involvement and overcoming barriers to enrolling in college and earning a college degree. This study may provide insight that administrators may use to implement institutional policies for developing mentoring programs to reduce barriers to at-risk students’ college success