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Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.
Violeta Sima; Ileana Georgiana Gheorghe; Jonel Subić; Dumitru Nancu. Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review. Sustainability 2020, 12, 4035 .
AMA StyleVioleta Sima, Ileana Georgiana Gheorghe, Jonel Subić, Dumitru Nancu. Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review. Sustainability. 2020; 12 (10):4035.
Chicago/Turabian StyleVioleta Sima; Ileana Georgiana Gheorghe; Jonel Subić; Dumitru Nancu. 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review." Sustainability 12, no. 10: 4035.
This article proposes a synthetic analysis of the development level of regions in Romania with the concentration/diversification model, using Gini coefficients and Lorenz curve, based on the current statistical indicators. Knowing the degree of concentration and also the influence factors is useful in making decisions and setting regional policy measures. The analysis of regional disparities based on a series of data and indicators provided by The Romanian National Institute of Statistics for 2007–2016. The main findings highlight a deepening of the regional disparities in Romania in 2016 compared with 2007 explained mainly by the fact that the Bucharest–Ilfov region registered an economic development much above the other regions.
Elvira Nica; Violeta Sima; Ileana Gheorghe; Andreea Drugau-Constantin; Catalina Oana Mirica (Dumitrescu). Analysis of Regional Disparities in Romania from an Entrepreneurial Perspective. Sustainability 2018, 10, 3450 .
AMA StyleElvira Nica, Violeta Sima, Ileana Gheorghe, Andreea Drugau-Constantin, Catalina Oana Mirica (Dumitrescu). Analysis of Regional Disparities in Romania from an Entrepreneurial Perspective. Sustainability. 2018; 10 (10):3450.
Chicago/Turabian StyleElvira Nica; Violeta Sima; Ileana Gheorghe; Andreea Drugau-Constantin; Catalina Oana Mirica (Dumitrescu). 2018. "Analysis of Regional Disparities in Romania from an Entrepreneurial Perspective." Sustainability 10, no. 10: 3450.
The recent transformation of the national economies has raised numerous theoretical and practical aspects in measuring economic growth, welfare, environmental performance, and competitiveness, representing a challenging research topic within the context of economic paradigm transformation. Despite its importance, a fully operational model to be used in any context has not yet been designed. The main aim of this paper is to evaluate and analyze the macroeconomic dimension of the three determinants of sustainable competitiveness: the economic environment, the social environment, and the natural environment, at both the European and Romanian levels. This paper used the Hierarchical Clustering methodology, aiming at evaluating the global competitiveness in terms of a sustainable development model, using four indices: Human Development Index, Environmental Performance Index, Global Competitiveness Index, and GDP per capita. The clusters were designed on the basis of the role of the indices in assessment of the sustainable performances of the countries and also of the possible convergences between them. The results could sustain the conclusion that these indices are not able to offer an exhaustive image of the sustainable performances assessment. A new complex indicator could be considered in order to design a convergence model for the EU member states.
Gheorghe H. Popescu; Violeta Sima; Elvira Nica; Ileana Georgiana Gheorghe. Measuring Sustainable Competitiveness in Contemporary Economies—Insights from European Economy. Sustainability 2017, 9, 1230 .
AMA StyleGheorghe H. Popescu, Violeta Sima, Elvira Nica, Ileana Georgiana Gheorghe. Measuring Sustainable Competitiveness in Contemporary Economies—Insights from European Economy. Sustainability. 2017; 9 (7):1230.
Chicago/Turabian StyleGheorghe H. Popescu; Violeta Sima; Elvira Nica; Ileana Georgiana Gheorghe. 2017. "Measuring Sustainable Competitiveness in Contemporary Economies—Insights from European Economy." Sustainability 9, no. 7: 1230.