The following report aims to introduce the main me2 specifications, and to describe the requirements needed to develop the me2 project. Me2 is a technological platform where the behaviours related to energy consumption could be monitored, and also to increase the energy efficiency.In order to have a better understanding about the use of that kind of platforms, a brief literature review is firstly presented, where some of the main behaviour changing mechanisms practices are highlighted. Also, a policy analysis was developed to give an extended overview of the existing market structures and barriers, as well as, the technical features that are relevant for the development of a venture like me2.The report will end with a detailed description of what the me2 user will be like. This information is mostly based on the pre-pilot survey and on a cross-cultural analysis between Portugal and the Netherlands. This comparison is fundamental for a better understanding about the target community used in this project. Concerning to the functional systems requirements, they are also described in this report, giving special attention to what is called me2 Logic, that includes the front-end platform, back-end activities, and the algorithms to user engagement.Therefore, this report delivers, in a very detailed way, all the reviewed information and procedures needed to be determined prior to the platform’s establishment, and regarding its implementation for the project’s first pilot in Lisbon.
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Combining electric cars with utility services seems to be a natural fit and holds the promise to tackle various mobility as well as electricity challenges at the same time. So far no viable business model for vehicle-to-grid technology has emerged, raising the question which characteristics a vehicle-to-grid business model should have. Drawing on an exploratory study amongst 189 Dutch consumers this study seeks to understand consumer preferences in vehicle-to-grid business models using conjoint analysis, factor analysis and cluster analysis. The results suggest that consumers prefer private ownership of an EV and a bidirectional charger instead of community ownership of bidirectional charger, they prefer utility companies instead of car companies as the aggregator and they require home and public charging. The most salient attributes in a V2G business model seem to be functional rather than financial or social. The customer segment with the highest willingness to adopt V2G prefers functional attributes. Based on the findings, the study proposes a business model that incorporates the derived preferences
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This research focuses on exit choices within SMEs. In this study, “exit choice” refers to the decision to opt for either liquidation or sale of the firm. The predictions focus on human-capital and firm-resource variables. The hypotheses are tested on a set of 158 owners of small firms, the majority of which are micro-firms with 0–9 employees. The results of a series of binominal logistic regression analyses show that firm-resource characteristics (previous sales turnover, the firm’s independence from its owner, and firm size), together with one aspect of the owner’s specific human capital (the owner’s acquisition experience), predict exit choice. The conclusions have been made with caution, as the dataset is relatively small and the number of predictors is limited.
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Vast empirical evidence underscores that exporting firms are more productive than non-exporters. As governments accordingly pursue export-promoting policies we are interested in the firmness of these conclusions with respect to African small and medium sized enterprises (SMEs) and the influence of the destination of export trade. Using a micro-panel dataset from five African countries we confirm the self-selection. We apply propensity scores to match exporters and use a difference-in-difference methodology to test if African SMEs experience productivity gains because of export participation. Results indicate that African firms significantly learn-by-exporting. Manufacturers obtain significant performance improvements due to internationalization although this effect is moderated by export destination. Firms that export outside Africa become more capital intensive and at the same time hire more workers. In contrast we find evidence that exporters within the African region significantly downsize in capital intensity. Results regarding skill-bias of internationally active firms are mixed, where exporters within the region expand in size and hire more relatively unskilled workers.
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We are now faced with numerous examples of the use of the word ‘open’ in the context of education. There are open schools, open universities, open participatory learning infrastructures (OPLI), open courseware (OCW), massive open online courses (MOOCs), open educational resources (OER), open educational practices (OEP) and so on (see, e.g., Atkins, Brown, & Hammond, 2007; Schuwer, van Genuchten, & Hatton, 2015). What these terms at face value seem to share is their reference to the removal of barriers to the access of education. Open universities have relaxed entrance requirements, open courseware and MOOCs allow for free access to courses, as do open educational resources and open educational practices at the levels of materials and practices, respectively, although the kinds of barriers removed and the extent to which they are removed differ widely (Mulder & Jansen, 2015). However, there is more to openness than this prima facie characterization in terms of the removal of barriers reveals. A brief overview of some existing definitions of openness in education can help to make this evident.
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Journalists in the 21st century are expected to work for different platforms, gather online information, become multi‐media professionals, and learn how to deal with amateur contributions. The business model of gathering, producing and distributing news changed rapidly. Producing content is not enough; moderation and curation are at least as important when it comes to working for digital platforms. There is a growing pressure on news organizations to produce more inexpensive content for digital platforms, resulting in new models of low‐cost or even free content production. Aggregation, either by humans or machines ‘finding’ news and re‐publishing it, is gaining importance. At so‐called ‘content farms’ freelancers, part‐timers and amateurs produce articles that are expected to end up high in web searches. Apart from this low‐pay model a no‐pay model emerged were bloggers write for no compensation at all. At the Huffington Post thousands of bloggers actually work for free. Other websites use similar models, sometimes offering writers a fixed price depending on the number of clicks a page gets. We analyse the background, the consequences for journalists and journalism and the implications for online news organizations. We investigate aggregation services and content farms and no‐pay or low‐pay news websites that mainly use bloggers for input.
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The aim of this study is to examine the inter-device reliability of an activity tracker on three different levels of aggregation: minute, hour and day.
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In order to fully realise the potential of online and blended learning (OBL), teacher professional development (TPD) strategies on how to teach in an online or blended learning environment are needed. While many studies examine the effects of TPD strategies, fewer studies target the specific important components of these strategies. This study addresses that gap by conducting a systematic review of qualitative data consisting of 15 articles on TPD that targets OBL. Using a meta-aggregative approach, six different synthesised findings were identified and integrated into a visual framework of the key components of TPD for OBL. These synthesised findings are the base for the action recommendations which present specific and contextualised suggestions. Taken together, the findings can inform in-service teachers and trainers, together with further research and development efforts that are concerned with TPD for OBL.
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