Compulsive Buying: Literature Review and Suggestions for Future Research

Compulsive buying is a serious, but under researched, aspect of consumer buying behaviour. Setting the review in a historical context, the review begins by addressing the earliest works on the subject and seminal papers by leading researchers in the field of compulsive buying. The review addresses the fact that Emil Kraepelin first identified compulsive buying in his 1915 textbook, before the subject faced an almost complete hiatus in terms of research until the late 1980s where the issue was addressed by a number of leading consumer behaviour researchers. The review will then proceed chronologically and thematically, addressing each issue and theme that has emerged from the literature. Previous directions of the research will be discussed, whilst guiding readers towards the current landscape of the research, and a suggestion of the next logical direction of the research.

Researching suicide, attempted suicide and near-lethal self-harm by offenders in community settings: Challenges for future research

Suicide is a serious international health problem and is more likely to occur in vulnerable populations such as offenders. There is an abundance of research into suicides of prisoners, but few studies have been carried out on suicides of offenders serving community sentences. This article identifies and evaluates the limited research that is available. Recommendations for future research are made, including how in-depth interviews can provide important information about near lethal incidents from the service users’ perspective, and how international comparisons could be helpful in understanding this problem further.

New Developments in Tourism and Hotel Demand Modeling and Forecasting

Abstract Purpose The purpose of the study is to review recent studies published from 2007-2015 on tourism and hotel demand modeling and forecasting with a view to identifying the emerging topics and methods studied and to pointing future research directions in the field. Design/Methodology/approach Articles on tourism and hotel demand modeling and forecasting published in both science citation index (SCI) and social science citation index (SSCI) journals were identified and analyzed. Findings This review found that the studies focused on hotel demand are relatively less than those on tourism demand. It is also observed that more and more studies have moved away from the aggregate tourism demand analysis, while disaggregate markets and niche products have attracted increasing attention. Some studies have gone beyond neoclassical economic theory to seek additional explanations of the dynamics of tourism and hotel demand, such as environmental factors, tourist online behavior and consumer confidence indicators, among others. More sophisticated techniques such as nonlinear smooth transition regression, mixed-frequency modeling technique and nonparametric singular spectrum analysis have also been introduced to this research area. Research limitations/implications The main limitation of this review is that the articles included in this study only cover the English literature. Future review of this kind should also include articles published in other languages. The review provides a useful guide for researchers who are interested in future research on tourism and hotel demand modeling and forecasting. Practical implications This review provides important suggestions and recommendations for improving the efficiency of tourism and hospitality management practices. Originality/value The value of this review is that it identifies the current trends in tourism and hotel demand modeling and forecasting research and points out future research directions.

Climate change and visual imagery

Many actors—including scientists, journalists, artists, and campaigning organizations—create visualizations of climate change. In doing so, they evoke climate change in particular ways, and make the issue meaningful in everyday discourse. While a diversity of climate change imagery exists, particular types of climate imagery appear to have gained dominance, promoting particular ways of knowing about climate change (and marginalizing others). This imagery, and public engagement with this imagery, helps to shape the cultural politics of climate change in important ways. This article critically reviews the nascent research area of the visual representations of climate change, and public engagement with visual imagery. It synthesizes a diverse body of research to explore visual representations and engagement across the news media, NGO communications, advertising, and marketing, climate science, art, and virtual reality systems. The discussion brings together three themes which occur throughout the review: time, truth, and power. The article concludes by suggesting fruitful directions for future research in the visual communication of climate change.

Culture in Transfer: Translation and Transcultural Communication International Conference

It is widely acknowledged that interpreters need to have knowledge of the cultures represented by the languages they work with (e.g. Roy 2002, Angelelli 2004, Wadensjŏ 2008). However, it is not clear what interpreters are expected to do with this knowledge. Some scholars recommend that interpreters be cultural mediators (e.g. Katan 2004 & 2014). As an attempt to examine existing guidelines on interpreters’ roles in the face of cultures/cultural issues, the research reported in this paper compares and contrasts the codes of conduct for interpreters from a number of associations and institutions in the UK, the US and China. The research has collected three different sets of data and has sought to investigate (1) in what ways interpreters are expected to do with their knowledge of cultures; (2) to what extent interpreters’ role as cultural mediators is referred to or defined in these codes of conduct; and (3) whether or not relevant guidelines are practically helpful for interpreters to deal with the range of cultural issues they may encounter in interpreting. Data analysis suggests that while cultural knowledge is a requisite for interpreters, the expectation for them to be cultural mediators may depend on the types of interpreting setting they work with and further guidelines are needed so that interpreters are clear on what they are required to do in dealing with cultural issues. The paper then discusses the implications of these findings and points to some directions for future research. Key references Brunette, L., G Bastin, I. Hemlin and H. Clarke (ed.). The Critical Link 3: Interpreters in the Community. Amsterdam/Philadephia: John Benjamins. Hale, S. 2007. Community Interpreting. Hampshire, New York: Palgrave Macmillan. The International Association of Conference Interpreting, 2015. Interpreting Explained. Available from: http://aiic.net/; accessed on 24 June 2015 Katan, David, --- 2004. Translating Cultures: An Introduction for Translators, Interpreters and Mediators. St Jerome. --- 2014. Workshop: Translation at the cross-roads: time for the transcreational turn? University College London. Martín, Mayte C. & Mary Phelan, 2009. Interpreters and Cultural Mediators – different but complementary roles. In: Translocations: Migration and Social Change. ISSN Number: 2009-0420 (online) McDonough Dolmaya, Julie, (2011. Moral ambiguity: Some shortcomings of professional codes of ethics for translators. In: The Journal of Specialised Translation. Issue 15, January 2011 (online). Pöchhacker, F., 2008. Interpreting as Mediation. In: (ed.) Valero Garcés, C. and Martin, A, Crossing Borders in Community Interpreting: definitions and dilemmas, pp. 9-26. John Benjamins Amsterdam and Philadelphia. Roy, Cynthia B., 2002. The Problem with Definitions, Descriptions, and the Role Metaphors of Interpreters. In: (ed.) Pöchhacker, Franz & Miriam Shlesinger, The Interpreting Studies Reader. Routledge. Wadensjö 1998. Interpreting as Interaction. New York: Addison Wesley Longman Inc.

Organisational and systems factors impacting on patient safety in acute care organisations: lessons from four multi-site research studies

Background Patient safety is concerned with preventable harm in healthcare, a subject that became a focus for study in the UK in the late 1990s. How to improve patient safety, presented both a practical and a research challenge in the early 2000s, leading to the eleven publications presented in this thesis. Research question The overarching research question was: What are the key organisational and systems factors that impact on patient safety, and how can these best be researched? Methods Research was conducted in over 40 acute care organisations in the UK and Europe between 2006 and 2013. The approaches included surveys, interviews, documentary analysis and non-participant observation. Two studies were longitudinal. Results The findings reveal the nature and extent of poor systems reliability and its effect on patient safety; the factors underpinning cases of patient harm; the cultural issues impacting on safety and quality; and the importance of a common language for quality and safety across an organisation. Across the publications, nine key organisational and systems factors emerged as important for patient safety improvement. These include leadership stability; data infrastructure; measurement capability; standardisation of clinical systems; and creating an open and fair collective culture where poor safety is challenged. Conclusions and contribution to knowledge The research presented in the publications has provided a more complete understanding of the organisation and systems factors underpinning safer healthcare. Lessons are drawn to inform methods for future research, including: how to define success in patient safety improvement studies; how to take into account external influences during longitudinal studies; and how to confirm meaning in multi-language research. Finally, recommendations for future research include assessing the support required to maintain a patient safety focus during periods of major change or austerity; the skills needed by healthcare leaders; and the implications of poor data infrastructure.