Abstract
Although interest in FinTech businesses has been growing, research about these companies is still scarce. To address this gap, this paper aims to understand the evolution of the FinTechs ecosystem, through a socio-technical system theory and service innovation lense. A case study research methodology was used, in which 6 Brazilian and 5 Portuguese FinTechs were analyzed. Primary data was collected using semi-structured interviews with managers and employees of the startups, while secondary data was obtained through the analysis of reports from consulting firms and public relations materials of the startups. Results show the evolution of FinTech ecosystems from the perspective of socio-technical system theory and service innovation. From the socio-technical system perspective it was possible to understand the roles of social, technological and organizational actors in the evolution of these ecosystems. From the service innovation perspective, it was possible to understand the dynamics of the evolution of the FinTech ecosystems and its results.

Abstract
Purpose This article provides an in-depth understanding of customer experience with smart services, examines customer perceptual responses to smart and connected service environments and enriches this understanding by outlining how contextual factors (in terms of goals, activities, actors and artifacts) influence the customer experience. Design/methodology/approach This study adopts a qualitative approach in order to understand customer experience in the smart energy service setting. Semi-structured interviews and focus groups were conducted with 31 participants forming three groups of energy service customers: advanced smart energy (ASE) customers, electric mobility (EM) customers and high-consumption (HC) customers. Findings The findings show that customer experience with smart services involves a multidimensional set of perceptual responses, comprising specific smart service dimensions (e.g. controllability, visibility, autonomy); relationship dimensions (relationships with the service provider and with the community); and traditional technology-enabled service dimensions (e.g. ease of use, accessibility). The analysis of contextual factors such as goals, activities, actors and artifacts shows that smart services enable a more autonomous experience, wherein customers can integrate a myriad of actors and artifacts and expect the main service provider to support them in taking the lead. Originality/value Smart technologies have profoundly changed the service environment, but research on customer experience with smart services is scarce. This study characterizes smart services, provides an in-depth understanding of customer experience in this new context, and discusses relevant implications for management and service research.

Abstract
Brazil has been failing to offer the most favorable conditions for the implementation of onshore wind farms, due to the presence of multiple barriers. However, the country has observed a fast and expressive wind energy (WE) diffusion (the installed WE capacity grew 37 times in the last decade). Furthermore, its onshore wind farms have reached impressive capacity factors (with productivity levels much higher than the average around the world) and a very low levelized cost of electricity. This study aims at identifying how wind developers plan onshore wind farms to overcome existing barriers. Based on forty-one interviews with relevant stakeholders of the Brazilian WE sector, the study identified efforts targeted at overcoming twenty-four previously identified barriers. Although most barriers may be overcome directly through developer initiatives, addressing higher level barriers, namely an unstable macroeconomic environment, a poor transmission infrastructure, and inadequate access to capital, depends on government actions.

Abstract
Onshore wind energy (WE) has achieved a significant diffusion worldwide, in spite of the existence of multiple barriers to the large-scale implementation of wind farms. These barriers have been reported in a large number of studies, but the literature is lacking a systematized overview of their categories and locations. Based on a framework for the analysis of barriers to the penetration of renewable energy sources proposed by Painuly [363], this systematic literature review contributes to addressing this gap, identifying barriers to the large-scale implementation of onshore wind farms by category (market failures, market distortions, economic and financial, institutional, technical, social and other barriers) and location (countries around the world), and characterizing them by the level of economic development (least developed, developing, in transition, and developed) and stage of diffusion (recent or advanced) in their locations. The framework showed a high level of fit with the case of WE and allowed the identification of 31 barriers in 159 countries. The barriers were found to be mostly present in developing economies with recent diffusion, although some barriers were found to occur broadly across developed economies, regardless of the stage of diffusion. The three most frequently observed barriers were the inadequate consideration of externalities, uncertain and unsupportive governmental policies, and insufficient transmission grids.

Abstract
Industry 4.0 is a result of technological evolution and is intended to promote technological transformations in industry at different levels. The impact in human employment has been perceived as a major threat and is a matter of concern. Some authors argue that automation will bring unimaginable changes as soon as computers get more intelligence and as machines become able to perform complex tasks more efficiently than humans. However, technological progress is also pointed out as a stimulus for human-beings to develop the competencies that differentiate them from the machines. In this context, this study aims to explore the impacts of adopting Industry 4.0 technologies on work. The results of a comprehensive literature review provide an integrated perspective to identify and understand such impacts, analysing them in four categories: evolution of employment and creation of new jobs, human-machine interaction, new competencies creation/ development, and, organizational and professional changes. © 2020 IEEE.

Abstract
Similar to the case of biotechnology industry, companies providing devices in the biomedicine industry face several challenges, and to stand out from competitors need to know how to get to the right customer. Potential customers (i.e., individuals and organizations) may choose to adopt or reject an innovative product and will later confirm that decision or not. Such decision is of utmost importance to the success of innovative products and, therefore, of the company that provides them. The aim of this study is to understand how perceptions formed about a biomedical product can influence its adoption intention and behavior and, hereafter, influence the decision of other potential adopters. Findings from a multiple case study provide a clear definition of the adoption process of a specific biomedical product, combining two existing theories - the Diffusion of Innovations Theory and the Technology Acceptance Model - and including the feedback created by interactions between current users of the product and potential users, to understand what influences potential adopters' decisions. © 2020 IEEE.