In het kader van nieuwe wetgeving op het gebied van onderwijs en arbeidsmarkt én een Nationale Groeifonds aanvraag met als werktitel “Leave No Youngster Behind” heeft het ministerie van SZW opdracht gegeven tot de onderhavige, kortlopende voorstudie, vanuit de constatering dat er nog te weinig zicht is op hoe evidencebased interventies voor jongeren die buiten het onderwijs en/of de arbeidsmarkt zijn zo effectief en efficiënt mogelijk zijn vorm te geven en te implementeren. Dat inzicht is voor de initiatieven van groot belang.Deze voorstudie betreft een systematische literatuurstudie met als doel een beeld te krijgen van de kenmerken van succesvolle interventies die de afgelopen jaren zijn ingezet voor jongeren die buiten onderwijs en/of arbeidsmarkt zijn geraakt in de leeftijd van 15 tot 27 jaar. Er is specifiek gezocht naar (internationale) studies waarin een interventie wordt beschreven. Aan de hand van vooraf gedefinieerde criteria zijn 801 artikelen gescreend en teruggebracht naar 21 relevante artikelen die de basis vormen voor deze literatuurstudie.
As the first order of business in the RIGHT project, each region produced and published its own regional report, using an underlying format developed in work package 3 in this project (Manickam & van Lieshout, 2018). The format and the regional work consisted of three parts. Part 1 is the Regional Innovation Ecosystems (RIE) mapping to provide a qualitative understanding of the region’s innovation ecosystem with regards to its Smart Specialisation Strategies (S3). This part is divided into a socio-economic and R&D profile mapping and a SWOT analysis. The RIE is an adaptation of a methodology and tool used by the eDIGIREGION Project. This part is to be filled in by desk research and consulting regional experts (through interviews and/or focus groups). This part is used for mapping the own regional ecosystems, information for the partners to get to know the other regions and to be able to identify relevant similarities and differences across the regions, which in turn, will be reported in part 1 of this trans-regional report. Regions themselves chose their own sector focus. One could focus on either energy of the blue sector, or both. Part 2 focuses on the innovation capacity and needs of SMEs from the chosen sector(s). The questions are adapted from a systemic study on cluster developments, in which an analysis model was developed (Manickam, 2018). It is based on (on average) six face-to-face interviews with SMEs from the sector. The outputs of these interviews were summarised into one template, in English, by each partner region to allow for joint analysis and comparison that is in turn reported in part 2 of this report Part 3 introduced the Job Forecasting and Skills Gaps mapping using the JOES templates as developed by van Lieshout et al. (2017). To gain an appreciation of the extent and nature of skills gap, each region was asked to analyse current and potential future labour demand, workforce, and discrepancies between the two, in up to 2 businesses. For obvious reasons (confidentiality and privacy), the JOEs will not be published separately, nor will their information be used in the report in a way that would be traceable to specific businesses. We will use exemplary information from them for illustrative purposes in Parts 1 and 2 of this report where relevant.
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10-11-2019Distribution structures, as studied in this paper, involve the spatial layout of the freight transport and storage system used to move goods between production and consumption locations. Decisions on this layout are important to companies as they allow them to balance customer service levels and logistics costs. Until now there has been very little descriptive research into the factors that drive decisions about these structures. Moreover, the literature on the topic is scattered across various research streams. In this paper we review and consolidate this literature, with the aim to arrive at a comprehensive list of factors. Three relevant research streams were identified: Supply Chain Management (SCM), Transportation and Geography. The SCM and Transportation literature mostly focus on distribution structure including distribution centre (DC) location selection from a viewpoint of service level and logistics costs factors. The Geography literature focuses on spatial DC location decisions and resulting patterns mostly explained by location factors such as labour and land availability. Our review indicates that the main factors that drive decision-making are “demand level”, “service level”, “product characteristics”, “logistics costs”, “labour and land”, “accessibility” and “contextual factors”. The main trade-off influencing distribution structure selection is “service level” versus “logistics costs”. Together, the research streams provide a rich picture of the factors that drive distribution structure including DC location selection. We conclude with a framework that shows the relative position of these factors. Future work can focus on completing the framework by detailing out the sub factors and empirically testing the direction and strength of relationships. Cooperation between the three research streams will be useful to further extend and operationalize the framework.
