The increased penetration of technology which brings efficiency to businesses globally has caused a shift in the skills that are required by the employees. One of the ways that the economy can reap the benefits of the digital revolution is by ensuring the development of appropriate skills that are mandated by the technological economy. Skills and educational mismatch have been noted to have a negative influence on employee and labour market outcomes. Due to this, several studies that focused on diagnosing the phenomena of skills and educational mismatch have been conducted in some developed countries. Despite the rate of economic growth that the UAE has achieved, far too little scholarly attention has been paid to skills and educational mismatch in the country. Therefore, this study’s objective is to measure the extent and nature of skills and educational mismatch from the perception of current workforce in the market. Using quantitative methodology, primary data in the form of surveys was collected from 206 respondents. SPSS was used to analyze the survey data in the form of descriptive statistics and cross tabulations. The results indicated that skills and educational mismatch is prevalent in the UAE across the private and public sector. Moreover, we found evidence suggesting the nature of skills mismatch is skills gap and the type of educational mismatch that is most prevalent in the UAE is horizontal mismatch. The results also indicate that engineers are some of the most affected by both skills and educational mismatch where most of the engineers are not working in engineering jobs compared to business management graduates most of who are working in their field of graduation. This paper contributes by creating new evidence in the area of skills and educational mismatch in the UAE’s labour market. It has bridged a gap by examine the state of mismatch in the UAE which can then allow to establish corrective actions to reduce the said mismatch in the country.
The ratio of academic scientists to the labor force in Malaysia has increased. However, the contribution of academic scientists to commercialize research discoveries remains limited. Successful research commercialization or university technology transfer requires entrepreneurial effort that may involve skills beyond the traditional roles of academics. The ability to identify the commercial opportunity of research, i.e. entrepreneurial opportunity recognition, has been proven to be a critical skill for an academic entrepreneur. Earlier findings in this area would have been far more useful if the antecedents of entrepreneurial opportunity recognition were recognized. Although self-regulated learning has been inferred to as informal entrepreneurship education for academic entrepreneurs, there has been a lack of evidence on how it influences their academic entrepreneurship performance. This paper examined the characteristics of academic entrepreneurs and the key success factors, whether academics’ opportunity recognition ability is influenced by their self-regulated learning behavior. A quantitative research design was employed based on a case study of a technological university in Malaysia involving 115 academic entrepreneurs. Structural equation modeling analysis results revealed that academics’ opportunity recognition and social capital are the most important determinants of their academic entrepreneurship performance. The efficiency of the Technology Transfer Office and the ease of securing funding play influential roles too, but to a smaller extent. Most importantly, opportunity recognition is strengthened by self-regulated learning, through frequent deliberate practices in information and knowledge seeking that enable scientists to be more creative and innovative in translating research into marketable products and technology.
Optimum comfort factors help in enhancing effective learning process in a classroom. The aim of this research is to study thermal comfort in school classroom for a more desirable learning process. Four schools consist of urban and rural schools in Selangor were selected for this study. Field measurement and questionnaires was used to measure the level of comfort and satisfaction of school teacher and student in classroom. Data was collected using Temperature data-loggers (SD500 Humidity/Temperature Data logger). The questionnaire was analysed based on Likert’s scale rating. Result from both on-field measurement and questionnaire survey suggests that thermal comfort have greater importance to focus. All the schools tested higher temperature than the recommended value. This study also outlines several improvement suggestions actions for better comfort level such as better air ventilation system and smaller class size
Renewable energy is one of the alternative energy resources in Malaysia to replace fossil fuel use, which is an important issue that needs to be established. Some of the possible renewable energy sources are wind, hydro and solar. Since 2019, various incentives announced by the Malaysian Ministry of Energy and Natural Resources (KeTSA) to enhance renewable energy development which is in line with Government Energy policy. However, today, in contrast to the participation of investors and international contractors, the presence of entrepreneurs and domestic workers in this sector is feeble. In this regard, the Technical Vocational and Training (TVET) institution is seen to have the potential to minimize this crisis by creating competent, skilled and competitive electrical entrepreneurs for the field of renewable energy. This paper explores the ability of TVET electrical entrepreneurs to participate in renewable energy businesses. Based on the literature on energy entrepreneur development, it was found that the TVET electrical entrepreneur faces four challenges, namely financial, technology costs, logistics and government support. The proposed future development of renewable energy is in Mini-hydro and solar photovoltaic (PV), while wind power does not seem viable to TVET electricity entrepreneurs.
Professional certification is required for aircraft maintenance technicians in order to undertake sophisticated maintenance tasks that need a wide set of skills and competencies. Due to the increasing demand for workforce preparedness for Industrial Revolution 4.0, numerous publications stress only a subset of aircraft maintenance skills criteria in their skills assessment curriculum. The purpose of this paper is to review previous research publications on skill and competency evaluation in the aircraft maintenance industry in order to develop a comprehensive set of skill and competency assessment criteria through a systematic review of the literature. It applies the PRISMA approach in selecting and evaluating the included articles. The papers were retrieved from five journal databases using a set of Boolean search terms related. The filtered fifteen articles are systematically reviewed for talent evaluation criteria applicable to the aircraft maintenance work scope in order to deal with the Industrial Revolution 4.0 (IR4.0). Certain articles concentrate on a subset of assessment criteria for enhancing and tracking critical skills assessment criteria for the aircraft maintenance workforce, rather than on IR4.0 skill standards specifically. This paper summarizes seven skill criteria gathered in order to develop a comprehensive skill assessment framework for aircraft maintenance workforce.
In December 2019, the world learned about the first outbreak of the novel coronavirus (COVID-19) that first broke out in Wuhan, China. This limited outbreak in a small province of China has rapidly evolved into a global pandemic that has led to a health and economic crisis. As millions of individuals have lost their lives, others have lost their jobs due to the recession of 2020. While the skills and educational mismatch have been a prevalent problem in the UAE labor market, it is logical to assume that the global pandemic has likely increased this problem's extent. Therefore, there is an urgent need to adopt an agile, innovative solution to address the upcoming challenges in the labor markets due to the lack of skilled resources and the fear of future work amid the COVID-19 pandemic. Since industry and academia have identified skills and educational mismatch as a complex and multivariate problem, the paper builds a conceptual case from a system engineering perspective to solve this problem efficiently. Based on the literature reviewed related to disruptive technologies and labor market management systems, the paper proposes a new implementation approach for an integrated labor market information system enabled by the most widely used disruptive technologies components in the UAE (Machine Learning, AI, Blockchain, Internet of Things, Big Data Analytics, and Cloud Computing). The proposed approach is considered one of the immediate course of actions required to minimize the UAE economy's negative impact due to the presence of the skills and educational mismatch phenomena.
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