The new technologies, the digitalisation of processes and automation of work will change the manner of doing business, working and living. The effects of digitalisation on the economy, society and quality of life imply significant challenges of the labour market. All the participants will be concerned: authorities, companies and ordinary people. The objective of this research is to analyse the perceptions of the EU citizens about digitalisation and to highlight the differences among specific socio-demographic groups. The analysis is grounded on a composite methodology, comprising several statistical and econometric methods that provide scientific support to achieved conclusions: statistical analysis (with the primary goal to shed light on the EU citizens' perceptions about their digital technology skills), TwoStep Cluster Analysis (TSCA) (with the purpose to identify the 'digital vulnerable groups' and then the 'digital vulnerable countries' in terms of the exposure to digital divide) and logistic regression (with the main aim to quantify the impact of the relevant factors on citizens' perceptions about digitalisation). We identified a group of respondents evaluating themselves as having meagre digital skills, very afraid that robots could steal their jobs and with low usage of the internet. They are elderly, with a low level of education, manual workers or not working, with a relatively low level of income and little Internet use. The originality of our approach is given by the fact that we focused on investigating if digital divide leads to the creation of vulnerable groups (citizens and/or countries) and if there are specific patterns in terms of the perception on being skilled in the use of digital technologies in daily life or at work and of the understanding that robots replace human on the labour market. We aim to find relevant factors for the labour market to assume targeted measures that should be taken for a better match of supply and demand on the labour market and for creating a smart labour market. It is highly needed to increase the people's confidence in their skills level and to make the most of digitalisation of the societies. The results show consistent patterns in term of socio-demographic characteristics and perception towards digitalisation. The latter will have a
Purpose Smart cities can be understood as an inclusive space for each and everyone to achieve their best options, within the framework of sustainable development, where institutions boost information and technology environments that help achieve the highest individual and social well-being with the aim of improving the lives of citizens. The youth group (between 15 and 24 years) was severely affected by the crisis. In this paper, youth employability, in relation to the new challenges of smart cities, is analyzed in the EU with the aim of assessing the influence of information and communication technologies (ICTs) skills on youth employability. Design/methodology/approach By means of a mean analysis and structural equation modeling, the differences between the Eurozone and the other countries in the EU is analyzed, as well as the importance of information technologies and the computer skills for increasing youth employability. Findings The results indicate that awareness of the importance of IT skills is greater in the Eurozone and that computer skills are highly significant to explain the employability of young people. Practical implications The achieved conclusions point out to the training on computers skills as a key factor for boosting youth employment. Social implications This work could provide some tools to help policymakers design instruments for increasing youth employment, as well as to provide training mechanisms to obtain the skilled workforce needed for the enterprises that emerged in the environment of smart cities. Originality/value The main original value of this work is to relate computers skills and the employment rates for youth in the framework of the European Union.
Feedback Evaluation is a necessary part of any institute to maintain and monitor the academic quality of the system. Traditionally, a questionnaire based system is used to evaluate the performance of teachers of an institute. Here, we propose an automatic evaluation system based on sentiment analysis, which shall be more versatile and meaningful than existing system. In our proposed system, feedback is collected in the form of running text and sentiment analysis is performed to identify important aspects along with the orientations using supervised and semi supervised machine learning technique
The difficulties of access to the labor market remains in the post-crisis period, particularly for younger people and for those countries more affected by the crisis. The economic conditions with the precariousness of the labor market and higher unemployment taxes for youth, draws a scenario where the risk of poverty and social exclusion could influence young people and discourage them from social and economic participation, and thus the number of young people not in employment, education, or training (NEETs) will increase. The sustainable development in general and the social sustainability in particular needs to solve this important issue to get a balanced and fair social and economic scenario. In this work, the influence of socio economic variables related to the level of prosperity of the country and social protection as well as the risk of poverty and social exclusion on young NEETs is evaluated based on the EUROSTAT data for the year, 2016, for young people. The method was a structural equations model and the results confirm that the key important factors for explaining the situation of the NEETs' are more related to poverty and exclusion than to the economic environment. The main conclusion from these results is the importance of implementing some inclusive actions to prevent an increase in the number of young NEETs, and boosting, in this way, a more balanced and sustainable society.
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