An important goal of educational designers is to achieve long-term transfer of learning that is the learner's application of newly acquired competencies. Extensive research during more than a century shows that especially in formal educational settings this fundamental aspect of education often occurs poorly or not at all, leading to what is called a Transfer Problem. To address this transfer problem, the present study examines intentions to transfer learning to multiple contexts; this focus on multiple transfer contexts extends previous research focusing on a single transfer context, typically the workplace. The present study aimed to estimate the influence of five organizational variables (peer support, supervisor support, opportunity to use, openness to change, and feedback) on pre-training intention to transfer prospective learning in two different transfer contexts: study and work. Participants were 303 students at an open university starting a digital course in information literacy. The model was tested using structural equation modelling. The results indicated that before starting the course supervisor support and feedback were considered the strongest predictors of intention to transfer new learning in both the study and the work contexts. This research is amongst the first in the training literature to address multicontextuality and examines intentions to transfer generic competences to the two transfer contexts study and work within one single study.
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The past decades have shown an accelerated development of technology-enhanced or digital education. Although an important and recognized precondition for study success, still little attention has been paid to examining how an affective learning climate can be fostered in online training programs. Besides gaining insight into the dynamics of affective learning itself it is of vital importance to know what predicts trainees’ intention to transfer new knowledge and skills to other contexts. The present study investigated the influence of five affective learner characteristics from the transfer literature (learner readiness, motivation to learn, expected positive outcomes, expected negative outcomes, personal capacity) on trainees’ pre-training transfer intention. Participants were 366 adult students enrolled in an online course in information literacy in a distance learning environment. As information literacy is a generic competence, applicable in various contexts, we developed a novel multicontextual transfer perspective and investigated within one single study the influence of the abovementioned variables on pre-training transfer intention for both the students’ Study and Work contexts. The hypothesized model has been tested using structural equation modeling. The results showed that motivation to learn, expected positive personal outcomes, and learner readiness were the strongest predictors. Results also indicated the benefits of gaining pre-training insight into the specific characteristics of multiple transfer contexts, especially when education in generic competences is involved. Instructional designers might enhance study success by taking affective transfer elements and multicontextuality into account when designing digital education.
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This study focuses on SME networks of design and high-tech companies in Southeast Netherland. By highlighting the personal networks of members across design and high-tech industries, the study attempts to identify the main brokers in this dynamic environment. In addition, we investigate whether specific characteristics are associated with these brokers. The main contribution of the paper lies in the fact that, in contrast to most other work, it is quantitative and that it focuses on brokers identified in an actual network (based on both suppliers and users of the knowledge infrastructure). Studying the phenomenon of brokerage provides us with clear insights into the concept of brokerage regarding SME networks in different fields. In particular we highlight how third parties contribute to the transfer and development of knowledge. Empirical results show, among others that the most influential brokers are found in the nonprofit and science sector and have a long track record in their branch.
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Although previous research programs have yielded valuable knowledge that can help sugar beet growers to innovate farming processes, actual transfer of this knowledge to the growers so far is lacking. Currents ways of knowledge transfer do not match learning styles, personal traits or the social environment of previously identified groups of growers. The current research was designed to asses to which level new means of knowledge transfer are suitable: using both digital means, e.g., decision support systems, and other means, e.g. study groups, knowledge transfer can be re-assessed to form specific inspiring learning environments.A survey study assessed learning styles, attitudes toward innovation, personality traits related to entrepreneurship and the social network growers use to obtain new knowledge. These data were linked to the crop yield data over the previous five years, to be able to compare the influence of learning styles, attitudes, network and individual differences on the occurrence and effectiveness of certain types of innovative behaviour. Results indicate that different learning styles correlate with different ways of using one's knowledge network: for instance, people who are more prone to seek help, have significantly more contacts and exchange more knowledge within their networks. Growers whom significantly participate more in meetings and interactions with colleagues, produce an above average crop yield, as compared to other groups. The innovation attitude appeared to predict the innovation intention of growers; people with more positive attitudes are more willing to try new ideas and implement not fully tested techniques than growers with less positive attitudes toward innovation. Knowledge networks are comprised of fellow growers, friends, family, but mostly the growers receive their knowledge from advisors, suppliers and study groups. Preferences for learning and innovating correlate with the size of the network, and how intensively it is used.
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In December of 2004 the Directorate General for Research and Technological Development (DG RTD) of the European Commission (EC) set up a High-Level Expert Group to propose a series of measures to stimulate the reporting of Intellectual Capital in research intensive Small and Medium-Sized Enterprises (SMEs). The Expert Group has focused on enterprises that either perform Research and Development (R&D), or use the results of R&D to innovate and has also considered the implications for the specialist R&D units of larger enterprises, dedicated Research & Technology Organizations and Universities. In this report the Expert Group presents its findings, leading to six recommendations to stimulate the reporting of Intellectual Capital in SMEs by raising awareness, improving reporting competencies, promoting the use of IC Reporting and facilitating standardization.
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The aim of this study is to examine the relationship between successor characteristics, transfer planning characteristics and post-transfer profitability within Dutch SMEs. On the one hand, based on the resource dependency view, it is assumed that successors with more knowledge and experience, derived from work experience from outside the target firm, will be able to extract higher rents from the firm than those with less (diverse) work experience. On the other hand, based on the knowledge management literature, and in particular, concepts such as tacit knowledge, this research makes the contrasting prediction that posttransfer profitability is likely to be higher in firms where the successor is an insider and is related to the predecessor. Moreover, this paper proposes, based on the theory of planned behaviour, that written plan and strategic intent have a positive association with post-transfer profitability. The study is based on quantitative analysis of a random sample of Dutch SMEs. Initial results from the current study suggest that determinants of post-transfer profitability may be quite different in the family-to-family ownership vs. nonfamily ownership transfer conditions (i.e. whether or not the successor is related to the predecessor). Significant interaction effect is found such that the effect of strategic planning, in particular, varies depending on the nature of the transfer relationship (family to family, vs family to nonfamily). Other results offer mixed support for the proposed theories.
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Recently Leroy et al. (2008) tested if the Theory of Planned Behavior (TPB) predicts exit behavior of entrepreneurs: liquidation or transfer. He added the purchasers view to the TPB: firm viability and intangible assets. We retested Leroy et al. hypotheses on a more refined dataset of 136 firms in another country. Our study confirms the finding of Leroy et al.. We find though that the firm’s viability, the intangible assets and the client base are better predictor than intentions from the TPB.
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Background. A number of parenting programs, aimed at improving parenting competencies, have recently been adapted or designed with the use of online technologies. Although web-based services have been claimed to hold promise for parent support, a meta-analytic review of online parenting interventions is lacking. Method. A systematic review was undertaken of studies (n = 19), published between 2000 and 2010, that describe parenting programs of which the primary components were delivered online. Seven programs were adaptations of traditional, mostly evidencebased, parenting interventions, using the unique opportunities of internet technology. Twelve studies (with in total 54 outcomes, Ntot parents = 1,615 and Ntot children = 740) were included in a meta-analysis. Results. The meta-analysis showed a statistically signifi cant medium effect across parents outcomes (ES = 0.67; se = 0.25) and child outcomes (ES = 0.42; se = 0.15). Conclusions. The results of this review show that web-based parenting programs with new technologies offer opportunities for sharing social support, consulting professionals and training parental competencies. The metaanalytic results show that guided and self-guided online interventions can make a signifi cant positive contribution for parents and children. The relation with other metaanalyses in the domains of parent education and web-based interventions is discussed.
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