This article discusses some characteristics of the educational framework of the programme and tries to compare the results of the programme as reported by graduates with the 'professional competencies for Sustainable Development’, as formulated by DHO (the organisation for Sustainable Higher Education in the Netherlands). Because of the strong international character of the programme (students from more than 50 different countries in all continents of the world graduated since 1996), a specific issue of concern is the applicability of the Dutch Sustainable Competences in an international setting, and the implications for the teaching and learning approach. The experiental learning theory and the learning styles as defined by Kolb (1984) and the cultural dimensions as described by Hofstede (2009) are used to check this. Results from short online interviews with graduates all over the world illustrate the results of this comparison.
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BACKGROUND: Prediction models and prognostic scores have been increasingly popular in both clinical practice and clinical research settings, for example to aid in risk-based decision making or control for confounding. In many medical fields, a large number of prognostic scores are available, but practitioners may find it difficult to choose between them due to lack of external validation as well as lack of comparisons between them.METHODS: Borrowing methodology from network meta-analysis, we describe an approach to Multiple Score Comparison meta-analysis (MSC) which permits concurrent external validation and comparisons of prognostic scores using individual patient data (IPD) arising from a large-scale international collaboration. We describe the challenges in adapting network meta-analysis to the MSC setting, for instance the need to explicitly include correlations between the scores on a cohort level, and how to deal with many multi-score studies. We propose first using IPD to make cohort-level aggregate discrimination or calibration scores, comparing all to a common comparator. Then, standard network meta-analysis techniques can be applied, taking care to consider correlation structures in cohorts with multiple scores. Transitivity, consistency and heterogeneity are also examined.RESULTS: We provide a clinical application, comparing prognostic scores for 3-year mortality in patients with chronic obstructive pulmonary disease using data from a large-scale collaborative initiative. We focus on the discriminative properties of the prognostic scores. Our results show clear differences in performance, with ADO and eBODE showing higher discrimination with respect to mortality than other considered scores. The assumptions of transitivity and local and global consistency were not violated. Heterogeneity was small.CONCLUSIONS: We applied a network meta-analytic methodology to externally validate and concurrently compare the prognostic properties of clinical scores. Our large-scale external validation indicates that the scores with the best discriminative properties to predict 3 year mortality in patients with COPD are ADO and eBODE.
Purpose – The purpose of this paper is to explore the characteristics of talent in relation to international business to facilitate selection and development of talent in human resources (HR) and human resource development (HRD).Design/methodology/approach – A mixed method design was used: focus groups with business professionals to identify the characteristics of highly talented international business professionals (HTIBP), resulting in a concept profile; Delphi study for validation; systematic comparison of the opencoding results to existing literature to identify characteristics of talent.Findings – A specific and concise profile of HTIBP has been developed. This profile has five domains: achieving results; communicating; innovating; self-reflecting; seeing patterns and interrelationships in a global context. From literature cross-referencing, we have identified innovating, being creative andhaving a drive to achieve results are most distinguishing for HTIBP.Practical implications – The paper facilitates an ongoing discussion about what constitutes talent, and offers new perspectives for companies to consider when selecting and developing talent.Originality/value – The conceptual contribution of the paper offers a fresh and practical empirical perspective on what talent entails.
