Insights from successful B2B software companies to boost brand awareness and revenue on the European market.
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Innovative development is a program that is given at The Hague University of Applied Sciences. This program teaches students to become more innovative. This article will look into the current approach and measure the growth in innovativeness of the students over the years. This was measured with a survey, based on the Berkeley innovation index. The results from the survey were calculated and scored based on eight factors. The innovative development program was compared with another program called information security management. These programs are from the same faculty. The information security management program did not show significant growth over the years in innovation. The innovative development program had resulted in a significant growth in innovativeness over the years. Some of the factors could be improved to increase the effectiveness of the innovative development program. https://nl.linkedin.com/in/haniers
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In this project we take a look at the laws and regulations surrounding data collection using sensors in assistive technology and the literature on concerns of people about this technology. We also look into the Smart Teddy device and how it operates. An analysis required by the General Data Protection Regulation (GDPR) [5] will reveal the risks in terms of privacy and security in this project and how to mitigate them. https://nl.linkedin.com/in/haniers
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Routine immunization (RI) of children is the most effective and timely public health intervention for decreasing child mortality rates around the globe. Pakistan being a low-and-middle-income-country (LMIC) has one of the highest child mortality rates in the world occurring mainly due to vaccine-preventable diseases (VPDs). For improving RI coverage, a critical need is to establish potential RI defaulters at an early stage, so that appropriate interventions can be targeted towards such population who are identified to be at risk of missing on their scheduled vaccine uptakes. In this paper, a machine learning (ML) based predictive model has been proposed to predict defaulting and non-defaulting children on upcoming immunization visits and examine the effect of its underlying contributing factors. The predictive model uses data obtained from Paigham-e-Sehat study having immunization records of 3,113 children. The design of predictive model is based on obtaining optimal results across accuracy, specificity, and sensitivity, to ensure model outcomes remain practically relevant to the problem addressed. Further optimization of predictive model is obtained through selection of significant features and removing data bias. Nine machine learning algorithms were applied for prediction of defaulting children for the next immunization visit. The results showed that the random forest model achieves the optimal accuracy of 81.9% with 83.6% sensitivity and 80.3% specificity. The main determinants of vaccination coverage were found to be vaccine coverage at birth, parental education, and socio-economic conditions of the defaulting group. This information can assist relevant policy makers to take proactive and effective measures for developing evidence based targeted and timely interventions for defaulting children.
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This research evaluates how Project-Based Learning (PBL) is implemented in the Innovative Design program that is taught at The Hague University of Applied Sciences. This paper offers insights about the way students and teachers experience PBL within this program, and how the implementation can be improved according to previous research in this field. By studying relevant literature, a list of important (organizational and didactical) factors regarding the implementation of PBL is created. Questionnaires investigating these factors are then circulated among the teachers and students of the program. The results of the questionnaires are analyzed against guidelines provided in the literature. Based on this comparison, recommendations for the improvement of the PBL approach within the program are provided. The analysis shows that the program offers meaningful projects, and the students are properly prepared to collaborate. Nevertheless, the analysis also shows that the program still has room for improvement. The assessment methods are still unrefined, the students experience time-pressure while working on their projects, and the teachers can benefit from additional training to be better prepared for teaching in a PBL environment. Fortunately, the teachers indicate willingness to learn new PBL specific teaching skills. https://nl.linkedin.com/in/haniers
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This longitudinal, quantitative study contributes to the debate on technology-based professional development by examining the extent to which a learning (LinkedIn) intervention in a university setting affects an individual’s social media use for professional development, and the extent to which this relates to self-reported employability. In addition, we investigated how this relationship is moderated by an individual’s motivation to communicate through social media (LinkedIn). Based on social capital theory and the conservation of resources theory, we developed a set of hypotheses that were tested based on longitudinal data collected from university employees (N = 101) in middle- and high-level jobs. First, in line with our expectations, social media use for professional development was significantly higher after the learning intervention than before. Second, partially in line with our expectations, social media use for professional development was positively related with the employability dimension anticipation and optimization. Third, contrary to our expectations, motivation to communicate through social media (LinkedIn) did not have a moderating role in this relationship. We concluded that the learning intervention has the potential to foster social media use for professional development, and in turn, can contribute to individuals’ human capital in terms of their employability. Hence, the intervention that forms the core of this empirical research can be a sustainable and promising human resource management (HRM) practice that fits the human capital agenda.
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