Abstract
Several companies in the information technology field are progressively adopting Agile methodologies. This change necessarily transforms the management paradigm and poses new challenges to the leadership process. In this sense, this study seeks to explore the challenges perceived by leaders and perceive the competencies they should have to manage projects and teams in an Agile environment. The study used a survey to obtain data from 387 professionals in the information technology sector. The findings reveal the most important skills include the ability to have people skills, team management competencies, provide feedback on employee performance, and have problem-solving skills. Additionally, this study reveals people's management dimension is key to increasing productivity in Agile environments, and furthermore, respondents' years of experience proved to be discriminating in perceiving the importance of these skills. The outcomes of this study are relevant for companies that are migrating to the agile paradigm and are facing challenges in managing the leadership of these projects.

Abstract
Entrepreneurship serious games offer an innovative model for developing entrepreneurial skills with students. Furthermore, they provide a highly engaging and risk-free environment for students to become aware of the challenges posed in the early stages of building and developing a start-up. In this sense, it becomes relevant to explore the process of adopting this type of game in the classroom. This study aims to explore how the formative and summative components of an assessment are mapped into seven serious entrepreneurship games. Through this information, this study seeks to help instructors in the process of adopting a serious game and understanding how the evaluation of these games can be used in the context of an entrepreneurship course. © 2021, IGI Global.

Abstract
This work reports on preliminary findings about the learning process of a diverse set of users playing an immersive Virtual Reality serious game based on hand tracking to complement conventional occupational therapy in hand rehabilitation. Two test sessions with a one-day break between them were carried out with seven able-bodied participants. Participants went through twenty minutes guided functional task practice followed by a Semi-structured interview. The System Usability Scale (SUS) scores obtained for the first (75.36) and second (76.43) test sessions positioned the serious game above the average in terms of usability. Insights about the learning process., SUS and the obtained trial results., confirm the potential of the developed solution as a viable complement to conventional hand rehabilitation and highlight possible points for improvement. © 2021 IEEE.

Abstract
Up to one third of the global food production depends on the pollination of honey bees, making them vital. This study defines a methodology to create a bee hive health monitoring system through image processing techniques. The approach consists of two models, where one performs the detection of bees in an image and the other classifies the detected bee's health. The main contribution of the defined methodology is the increased efficacy of the models, whilst maintaining the same efficiency found in the state of the art. Two databases were used to create models based on Convolutional Neural Network (CNN). The best results consist of 95% accuracy for health classification of a bee and 82% accuracy in detecting the presence of bees in an image, higher than those found in the state-of-the-art.

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Abstract