Abstract
This article aims at identifying the effect of executive compensation, mediated by the nature of the control, on the sustained performance of the company in a defined ownership context, in which a shareholder or group holds more than half of the voting shares. Despite the wide literature on the relationship between executive compensation and performance, there is little evidence of the lagged effect of compensation on future performance and sustainability. This is particularly significant in countries where concentrated ownership structures dominate, where the controller has incentives to control the behavior of executives and may use the negotiation of such remuneration in order to guide management for their interests or as an instrument of expropriation of minority shareholders. The present study advances along this path by including in the analysis the nature of the control and by considering the lagged effects of the vesting period on performance. Based on executive compensation data from a group of listed Brazilian companies, the effect of this remuneration on change in shareholders' wealth in the three-year period is analyzed by means of multiple regression. The results pointed out that the impact of the variable remuneration on future performance depend on the nature of the remuneration, and on the type of ownership control. Effectively, the weight of the bonus in the total remuneration does not show significant effect. However, the weight of the stock-based remuneration is negatively related with the future performance. Moreover, this result applies both to companies with a controller shareholder and to companies with control shared, but not to companies with dispersed ownership, for which there is evidence of a positive relationship between the importance of the stock-based remuneration and the future performance.

Abstract
This paper provides the preliminary findings of a newly granted two-year project investigating the adoption of disruptive technologies, by focusing on the case of additive manufacturing (AM) in the medical technology (MedTech) industry, particularly implant applications. This is done by (I) stakeholder mapping of the industry in Australia. This included members of industry, researchers, academics, regulatory experts and MedTech consultants. (II) Identifying the top four major opportunity areas in which innovation can foster the adoption of AM implants, them being developments in Materials Science, Technology, Business Models, and Regulation & Quality Management. (III) Identifying and discussing the barriers in realizing such opportunity areas in practice, and finally (IV) recommending solutions based on the discussion and understanding of the proposed barriers that are hindering the widespread adoption and diffusion of 3-D printed medical implants. The impact of the project will be to unlock the potential of AM applications in the medical technology, which will benefit potential new entrants to the industry, incumbent firms, health care system, and patients in Australia.

Abstract
Worldwide, family businesses are one of the cornerstones of the entrepreneurial fabric, being as a consequence central to growth and development. In a globalized era, these institutions require the attention of businessmen, practitioners, and policymakers. The chapter seeks to examine if the internationalization performance does vary according to firm size, and its link to the innovative performance in multiple dimensions along with conventional characteristics such as age and turnover. Theoretical research evidences the interest in understanding the patterns and determinants of the internationalisation performance, given its importance in firm growth and survival; however, this strategical option brings advantages and problems. Empirical evidence demonstrates that the determinants do change according to firm dimension; estimations provide valuable insights about the connection between globalized operation and innovation, for the different organisations. © 2021 by IGI Global. All rights reserved.

Abstract
Currently, climate change poses a global threat, which may compromise the sustainability of agriculture, forestry and other land surface systems. In a changing world scenario, the economic importance of Remote Sensing (RS) to monitor forests and agricultural resources is imperative to the development of agroforestry systems. Traditional RS technologies encompass satellite and manned aircraft platforms. These platforms are continuously improving in terms of spatial, spectral, and temporal resolutions. The high spatial and temporal resolutions, flexibility and lower operational costs make Unmanned Aerial Vehicles (UAVs) a good alternative to traditional RS platforms. In the management process of forests resources, UAVs are one of the most suitable options to consider, mainly due to: (1) low operational costs and high-intensity data collection; (2) its capacity to host a wide range of sensors that could be adapted to be task-oriented; (3) its ability to plan data acquisition campaigns, avoiding inadequate weather conditions and providing data availability on-demand; and (4) the possibility to be used in real-time operations. This review aims to present the most significant UAV applications in forestry, identifying the appropriate sensors to be used in each situation as well as the data processing techniques commonly implemented.

Abstract
AbstractCOVID-19 has caused in Portugal an enormous economic, financial, and social challenge that must be answered by the national and local Portuguese government authorities. Several support measures have been launched to protect businesses, economic sustainability, and employment levels. At the national level, projects with greater economic emphasis are highlighted, which aim to support companies and their workers. The most noteworthy are measures relegated to simplified lay-off, social protection for individuals in isolation or with illness, and support for the payment of basic expenses such as electricity, water, and gas. Also, on this level, measures concerning teleworking and school at home through television have changed the daily lives of families. At the local level, there was a greater emphasis on the social dimension. The role played by local authorities and local councils in stimulating the local business community and supporting the creation of volunteer banks, the delivery of food and medicines, and the production of goods for individual protection was highlighted.

Abstract
With cutting edge scientific breakthroughs, human-centred algorithmic approaches have proliferated in recent years and information technology (IT) has begun to redesign socio-technical systems in the context of human-AI collaboration. As a result, distinct forms of interaction have emerged in tandem with the proliferation of infrastructures aiding interdisciplinary work practices and research teams. Concomitantly, large volumes of heterogeneous datasets are produced and consumed at a rapid pace across many scientific domains. This results in difficulties in the reliable analysis of scientific production since current tools and algorithms are not necessarily able to provide acceptable levels of accuracy when analyzing the content and impact of publication records from large continuous scientific data streams. On the other hand, humans cannot consider all the information available and may be adversely influenced by extraneous factors. Using this rationale, we propose an initial design of a human-AI enabled pipeline for performing scientometric analyses that exploits the intersection between human behavior and machine intelligence. The contribution is a model for incorporating central principles of human-machine symbiosis (HMS) into scientometric workflows, demonstrating how hybrid intelligence systems can drive and encapsulate the future of research evaluation.