Abstract

Abstract
Abstract   The teaching of entrepreneurship is currently a fundamental pillar in the construction of social responsibility with strong impact on the future economic development of society. The use of serious games in the entrepreneurship field is a way of encouraging students' motivation to become entrepreneurs and develop their skills in the field. In this paper, we describe the experience of using a serious game in the entrepreneurship field in the context of the classroom. For that, we adopt a quantitative research technique based on a survey research to measure the different characteristics experienced by higher education students when using serious games in the classroom to learn entrepreneurship. The students have multidisciplinary competences, coming from courses with strong emphasis in the area of management and technology. The use of the serious game allowed students to develop skills mainly in terms of innovation, leadership, strategic thinking, problem solving, business launch and risk management. On the other side, there were no significant benefits in terms of accounting skills, compliance with regulations, interpersonal, communication, and self-control and discipline. Keywords: entrepreneurship, serious games, higher education, game based learning, gamification.

Abstract
The evolution of information systems and the growth in the use of the Internet and social networks has caused an explosion in the amount of available data relevant to the activities of the companies. Therefore, the treatment of these available data is vital to support operational, tactical and strategic decisions. This paper aims to present the concept of big data and the main technologies that support the analysis of large data volumes. The potential of big data is explored considering nine sectors of activity, such as financial, retail, healthcare, transports, agriculture, energy, manufacturing, public, and media and entertainment. In addition, the main current opportunities, vulnerabilities and privacy challenges of big data are discussed. It was possible to conclude that despite the potential for using the big data to grow in the previously identified areas, there are still some challenges that need to be considered and mitigated, namely the privacy of information, the existence of qualified human resources to work with Big Data and the promotion of a data-driven organizational culture.

Abstract

Abstract

Abstract
Web 4.0 is a new evolution of the Web paradigm based on multiple models, technologies and social relationships. The concept of Web 4.0 is not totally clear and unanimous in literature, because it is composed by several dimensions. In this sense, this study uses a systematic review approach to clarify the concept of Web 4.0 and explore its various dimensions, analyzing if they have elements in common. The findings indicate that the number of studies published from 2009 to 2017 on this field significantly increased, having reached a peak in 2014. Furthermore, we identified five dimensions associated with the Web 4.0 paradigm, in which the terms “pervasive computing” and “ubiquitous computing” are the most widely used in the literature. On the other side, terms such as “Web 4.0”, “symbiotic Web” and “Web social computing” are not often used.