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Cold case review teams and the processes that they adopt in their endeavour to solve historic crimes are varied and largely underreported. Of the limited literature surrounding the topic of cold case reviews, the focus is on clearance rates and the selection of cases for review. While multiple reports and reviews have been undertaken and recommend that the interface between investigators and forensic scientists be improved, there is little evidence of cold case teams comprised of a mixture of investigators and scientists or experts. With the growing reliance on forensic science as an aide to solvability, the authors propose that the inclusion of forensic scientists to the central cold case investigation may be a critical factor in future success. The paper aims to discuss this issue.

To support the proposed approach, the authors conducted a review of the current literature seeking insight into the reported make-up of cold case teams. In conjunction with this, the authors reviewed a number of commissioned reports intended to improve cold case reviews and forensic services.

While many of the reviewed reports and recommendations suggested better integration with scientists and external expertise, little evidence of this in practice was reported within published literature. Open dialogue and cross pollination between police investigators and forensic scientists are likely to mitigate biases, inform case file triage and better equip investigations with contemporary and cutting-edge scientific solutions to the evidence analysis for cold cases. Furthermore, with respect to scientists within academia, large pools of resources by way of student interns or researchers may be available to assist resource-sparse policing jurisdictions.

To the authors’ knowledge, this is the first peer-reviewed recommendation for the consideration of integrated forensic scientists within a cold case review team. Multiple reports suggest the need for closer ties, but it is the anecdotal experience of the authors that the benefits of a blended task force approach may yield greater success.

This is a selective annotated bibliography of the literature on Christopher Columbus from 1970 to 1989. The subject is particularly relevant considering the approach of the Quincentenary of the “discovery” of America in 1992. For that same reason, there has been an outpouring of literature on the subject since 1990, a significant subset of which contributes to are interpretation of Columbus the man, his voyages, and their impact on the new world. It is hoped that this more recent literature will be part of a subsequent annotated bibliography.

Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction with preference data when drawing inferences about judges.

To cluster a population of judges, the population is modeled as a collection of homogeneous groups. The Plackett-Luce model for ranked data is employed to model a judge's ranked preferences within a group. A mixture of Plackett- Luce models is employed to model the population of judges, where each component in the mixture represents a group of judges.

Mixture of experts models provide a framework in which covariates are included in mixture models. Covariates are included through the mixing proportions and the component density parameters. A mixture of experts model for ranked preference data is developed by combining a mixture of experts model and a mixture of Plackett-Luce models. Particular attention is given to the manner in which covariates enter the model. The mixing proportions and group specific parameters are potentially dependent on covariates. Model selection procedures are employed to choose optimal models.

Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the expectation–maximization and the minorization–maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modeling using covariates is insightful when examining a population of judges who express preferences.

This paper sets out to identify the knowledge and skills that marketing practitioners need to possess and use, to improve marketing management and firm performance.

The data from a survey of marketing managers, academics and senior students in New Zealand, relating to the skills essential to work as a marketing manager, were analysed by analysis of variance to assess the extent of convergences or divergence among the responses of the three groups.

The essential skills are an ability and willingness to learn about product‐markets, to solve marketing problems, to communicate with internal and external stakeholders, and to work in teams, plus the knowledge of a wide range of marketing subject areas needed to set these skills in context. To progress from junior to senior posts, marketing graduates need to develop strategic thinking, leadership and management skills, and must demonstrate knowledge of strategic planning, product and brand management, communication and promotion, and consumer behaviour.

This study extends previous research by incorporating the views of three stakeholder groups about a broad range of knowledge and skills. Further, research is required to assess the generalisability of the results from these relatively small samples located in only one institution (albeit large and influential), and to investigate whether experience alone is a sufficient basis for junior marketers to acquire the knowledge and skills to become effective marketing managers and planners, or whether academics should help them to fast‐track their careers by means of targeted courses for intending practitioners.

Broad agreement between practitioners and academics suggests that relevant knowledge and skills are probably being taught. However, the differing view of students suggests that the effectiveness of university courses must be questioned.

The study reports the opinions of three stakeholder groups on a vital aspect of marketing education.

The research takes a comprehensive evaluation of hospitality students’ perceptions towards small and medium sized enterprises (SMEs) employment and explores whether the current recession and labour market changes influence hospitality students career-related decisions. Such exploration would provide vital information as to how the new economic environment has modified the nature and context of hospitality students perceptions towards SMEs. The paper aims to discuss these issues.

The research focuses on a constructionist philosophy in order to interpret how hospitality students construct of career choice. The qualitative methodology adopts semi-structured interviews in order to explore the socially constructed views of hospitality students’ perception of SMEs employment.

In spite of recessional challenges which particularly affect the graduate labour market, the research confirms the original academic arguments that socially constructed barriers and influencing factors do not highlight SMEs as an attractive first employment destination.

This research recognises the need to reconsider the curriculum for hospitality students to embed the notion of SMEs as a possible career choice.

Socially SMEs have not either historically or in the present day been seen as providing adequate resources for graduates entering the world of work. Such an implication has a considerably impact upon the supply and demand side of SMEs graduate labour market.

The economic downturn now poses a real challenge for new graduates as it is difficult to predict and discuss future labour market issues and trends. The research allows key stakeholders in graduate employment to understand the effects of the economic environment to graduate SMEs perceptions and take measures in improving SMEs-graduate employment in hospitality.

The purpose of this paper is to explore the meaning of interdisciplinarity in accounting research and the possible benefits of moving toward a more integrated interdisciplinary approach. It also examines the drawbacks and institutional impediments to such a move.

The paper draws upon and synthesizes the authors’ experiences of involvement in the interdisciplinary accounting community over the past two decades.

The paper distinguishes between interdisciplinarity at the field level and interdisciplinarity within individual studies. Noting a lack of study-level interdisciplinarity within accounting research, it explores the potential for novel insights emerging from encouragement of such an approach.

Institutional impediments to study-level interdisciplinarity need to be addressed if the accounting academy is to realize the potentially powerful benefits and social contribution of such an approach to research. A key limitation is that the paper is based primarily on the observations and perspectives of the authors.

The paper provides a distinction between field-level and study-level interdisciplinarity.

The diagnosis of a chronic progressive condition such as multiple sclerosis (MS) can impact on many aspects of daily life. Living with, and caring for, an individual with such a condition is likely to have emotional and psychological consequences. We carried out semi‐structured interviews with nine partners and analysed the interview transcripts using grounded theory (Strauss & Corbin, 1998), the phase presented in this article formed part of a larger overall study that explored the impact of living with MS for partners and a family. Our analysis in this phase highlights two core themes centred on identity issues faced by the participants: ‘playing detective’ in order to acquire information and manage the situation; and ‘reshaping identities’ in a shifting context, which reflected the participants' difficulties in reconfiguring important identities (at work and at home). Although previous research has addressed how carers cope, there is a dearth of qualitative literature relating to whether or not partners' identities are affected by taking a central role in caring, including how previous identities are maintained and new ones acquired.

The purpose of this paper is to describe and critique ways in which the threats from confirmation bias have been rejected.

Dismissals of the existence of, or threats from, confirmation bias are identified from a review of literature across a very wide range of disciplines. The dismissals are robustly examined.

The dismissals are categorised as: (1) radical scepticism (2) consequentialism: and (3) denial. Each type of dismissal, it is argued, is flawed.

The three-fold structuring of confirmation bias dismissal is novel. In addition to drawing from organisation, management and wider social science literature, the article also uses arguments and examples from the creative arts.

Often businesses fail, or fail to reach their true potential, for strategic rather than operational reasons. This type of failure may be caused because the key decision makers in such firms are not well informed about the strategic landscape in which their firm operates. A military analogy is used to show that successful military campaigns are often predicated upon having accurate maps. Similarly, competitive strategies followed by firms are likely to be more successful if key decision makers possess accurate strategic maps which display the location of their own and rival firms. In other words, those firms which have detailed knowledge of their strategic landscapes are likely to enjoy significant competitive advantage, while firms which are in ignorance of their strategic landscape are less likely to be able to navigate a route that will confer sustained competitive advantage. A firm’s strategic landscape is analysed in terms of: the firm’s true competitive position, the industry conditions under which the firm and its competitors operate and the core strategies that firms in the industry are following. This paper analyses an approach to strategic mapping developed by a major new independent strategic database called CAM (Competitive Analysis Model). This database has been built to aid small firms improve their results through generating accurate strategic maps. These maps enable client firms to assess their strategic locations and performances longitudinally, sectorally and cross‐sectionally. Finally, CAM clients appear to have outperformed similarly structured non‐CAM firms.