Medium-sized cities across Europe are increasingly and actively attracting skilled migrants. How can these cities best manage the challenges of internationalisation? That is to say: How can they attract, facilitate and integrate skilled migrants, enabling them to contribute to the regional culture and economy, while still serving their local populations and maintaining social cohesion?In this volume, we combine academic findings with policy reflections to provide a uniquely interdisciplinary guide for academics, policy makers and professionals in local governments, universities, HRM departments, for successfully co-ordinated international talent management.
The benefits of collaborative purchasing are many, yet in the healthcare sector, in particular at hospitals, it is still uncommon. In this paper we identify major impediments for collaborative purchasing, resulting in a first component of our proposed collaborative e-purchasing model for hospitals; as a second component it contains a collaborative purchasing typology. After analysis of a first validation round with hospital purchasing professionals, the results show four applicable purchasing types and fourteen collaborative purchasing impediments that are perceived as important for hospitals. The model is further extended by possible IT solutions, identified by experts, addressing the specific fourteen impediments. We conclude that the collaborative e-purchasing model can be used by healthcare consortia, branche organizations, partnering healthcare institutes and multi-site healthcare institutes as a means to help identifying strategies to initiate, manage and evaluate collaborative purchasing practices.
This study aims to help professionals in the field of running and running-related technology (i.e., sports watches and smartphone applications) to address the needs of runners. It investigates the various runner types—in terms of their attitudes, interests, and opinions (AIOs) with regard to running—and studies how they differ in the technology they use. Data used in this study were drawn from the standardized online Eindhoven Running Survey 2016 (ERS2016). In total, 3723 participants completed the questionnaire. Principal component analysis and cluster analysis were used to identify the different running types, and crosstabs obtained insights into the use of technology between different typologies. Based on the AIOs, four distinct runner types were identified: casual individual, social competitive, individual competitive, and devoted runners. Subsequently, we related the types to their use of sports watches and apps. Our results show a difference in the kinds of technology used by different runner types. Differentiation between types of runners can be useful for health professionals, policymakers involved in public health, engineers, and trainers or coaches to adapt their services to specific segments, in order to make use of the full potential of running-related systems to support runners to stay active and injury-free and contribute to a healthy lifestyle.
