Abstract
Micro and Small Enterprises have assumed an important strategic role for the economic and social development of Brazil, representing about 99% of all business establishments and contributing to the generation of 55.3% of all formal jobs in the country. However, these ventures have faced a series of restrictions on entrepreneurial activity, such as low government support, high taxes, and excessive bureaucracy. In this adverse context, innovation assumes a significant mediation role for increasing business performance and, consequently, maintaining the permanence of these ventures in the market. Accordingly, the present investigation aimed to identify the degree of innovation, the main obstacles and facilitators of innovation, as well as the types of innovation prevalent in Brazilian Micro and Small Enterprises through a systematic literature review. The literature review included 21 articles extracted from the Web of Science, Scopus, Scielo, and Spell databases. In general, the analyzed literature points out that innovation in these ventures is the result of simple actions, such as imitation and the acquisition of technology from third parties, and that the degree of innovation is low, prevailing in the types of innovation in Products and Marketing. The main barriers highlighted were related to the lack of resources, precarious managerial and commercial capacities, and shortages of qualified labor, while the factors that facilitate innovation are related to the support of government programs and the organization of Micro and Small Enterprises in productive arrangements.

Abstract

Abstract
The European Structural and Investment Funds (ESIF) represent the main instrument of European Cohesion Policy to sustain territorial development and to eliminate regional disparities between the EU member states. The study of the impacts of ESIF on the economic growth and development of EU members has gained increasing attention in the academic community, and there has been significant scientific production on this topic. This study consists of a bibliometric analysis of articles published in the period from 2011 to 2020 and indexed in two of the main scientific databases: Web of Science (WoS) and Scopus. The results of the bibliometric analysis point to relevant trends on the subject, such as the growing number of publications over the years; the great concentration of studies applied in Central and Eastern European (CEE) countries, namely Romania; and the current interest of researchers in important topics associated with European funds, such as the competitiveness and innovation of SMEs, climate change, economic impact of global crises, sustainable development, institutional capacity of organisations, and cross-border cooperation.

Abstract
The application of big data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industry generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements, and thus there is a need to create better mechanisms to analyse data, and hence support organizational development, as well as providing aid to policymakers’ decision-making processes. In this context, there are emerging disruptive opportunities because of Big Data: new business models, and vertical industry segments will emerge through shared relationships with all the stakeholders, and big data analytics is a major asset to support these dynamic relationships. This book was developed with the objective of analysing some of those challenges while at the same time providing a perspective of the potential of big data analytics, and the importance that analytics have for managers and for policymakers, to help define new strategies and new public policies, respectively. The book is focused on different sectors of activity (i.e. the Health sector, Public Administration, the Education sector, among others), and on different economic dimensions (i.e. Entrepreneurship, and Innovation) and links big data analytics to different fields of research, such as artificial intelligence and other emergent technologies; which are challenging organisations, governments, and societies, with the need to face the new imperative of being prepared for the very uncertain and tremendously complex future - in which big data analytics will play a very decisive and active role.

Abstract
The tradition of wine production and consumption in Portugal is widely spread since the country presents climatic and territorial characteristics which have made wine-making an important strategic sector. In addition, the essence of the wine industry has led to greater tourism, thus enhancing the growth of enotourism. Given the importance of the wine production sector in the national context, as well as the potential of Industry 4.0 to stimulate improvements both in efficiency and competitiveness, the objective of this work is to achieve a better understanding of how Industry 4.0 and its key features, namely simulation, can influence wine production and enotourism.

Abstract
The tradition of wine production and consumption in Portugal is widely spread since the country presents climatic and territorial characteristics which have made wine-making an important strategic sector. In addition, the essence of the wine industry has led to greater tourism, thus enhancing the growth of enotourism. Given the importance of the wine production sector in the national context, as well as the potential of Industry 4.0 to stimulate improvements both in efficiency and competitiveness, the objective of this work is to achieve a better understanding of how Industry 4.0 and its key features, namely simulation, can influence wine production and enotourism. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.