Abstract
When compared to other fields of research such as mergers and acquisitions, corporate divestment is under researched. There are at least three main reasons for this: the environment in which corporate divestment research has taken place has caused divestments to be understood as acquisition-driven rather than strategy-driven, the scope and distinct modes of divestment, and the difficulties in isolating the divestment phenomena. The objective of this chapter is to review the main theoretical approaches used in the study of divestment, to analyze their contribution to the field, and to discuss whether new approaches are needed in divestment research. Most studies of divestment are based on the concept that divestment is the outcome of poor unit performance, and the reversal of previous over-diversification and growth strategies that expanded the company size beyond optimal control. This chapter proposes four future lines of research into corporate divestment: the international business strategy, the network perspective, the stakeholders' perspective, and the institutional theory.

Abstract
Gemini Observatory has been awarded from the National Science Foundation a major fund to build a new state-of-the-art Multi Conjugate Adaptive Optics facility for Gemini North on Maunakea called GNAO. The current baseline system will use two lasers each split in two to create an artificial constellation of four laser guide star to measure the distortions caused by the atmosphere. At least two deformable mirror conjugated to 0km and the main altitude layer above Maunakea will be used to correct these distortions. The facility will be designed to feed future instrumentation, initially a near infrared imager and potentially a visiting 4-arm multi object adaptive optics IFU spectrograph.1 In this paper I will present the main characteristics of this exciting facility, its promises and its challenges. I will also present its conceptual design and results of trade studies conducted within the team and the Gemini Adaptive Optics Working Group. The expected first light is for October 2024.

Abstract
Value analysis methodology uses a structured and methodical job plan contemplating several steps to ensure success in its application. This paper intends to perspective the potential of value analysis application, namely in the furniture industry. To draw conclusions of this potential a case study was developed at an IKEA factory in Portugal. To characterize the customer needs in a clear language and to quantify the value of a product (a bookcase) produced in this factory, a value analysis study was developed. Functional analysis is the most known and distinctive phase of value analysis and is, nowadays, an autonomous tool. With this functional analysis, the authors intend to describe the functions that the product performs, to provide a better knowledge of the product, to evaluate the degree of satisfaction of the product through its functional performance and to facilitate the search for alternative solutions. The results obtained allowed us to reach some important conclusions about the application of value analysis in this type of industry and can be an initial step I to promote the use of this tool in this kind of industry.

Abstract
We consider privacy of obfuscated location reports that can be correlated through time/space to estimate the real position of a user. We propose a user-centric Location Privacy Preserving Mechanism (LPPM) that protects users not only against single reports, but also over time, against continuous reports. Our proposed mechanism, designated clustering geo-indistinguishability, creates obfuscation clusters to aggregate nearby locations into a single obfuscated location. To evaluate the utility of the mechanism, we resorted to a real use-case based on geofencing. Our evaluation results have shown a suitable privacy-utility trade-off for the proposed clustering geo-indistinguishability mechanism.

Abstract
In this study, a direct load control strategy for procuring flexibility from residential heating, ventilation, and air conditioning (HVAC) units and the optimal management of shared energy storage systems connected at different buses of a distribution system is proposed, as a new contribution with respect to earlier studies, aiming to minimize the energy demand during DR event periods. Moreover, an additional objective related to the minimization of the end-users' discomfort induced by the interruption of the HVAC units is considered, leading to the formulation of a bi-level optimization problem based on a second-order conic programming representation of the AC power flow equations. The effectiveness of the proposed methodology is demonstrated by performing simulations on a test system and comparisons with other approaches.

Abstract
Supply chains have become one of the most important strategic themes in the aerospace industry in recent years as globalization and deep technological changes have altered the industry at many levels, creating new dynamics and strategies. In this setting, sustainability at the supply chain level is an emerging research topic, whose contributions aim to support businesses into the future. To do so the development of new products and the response to new industry requirements, while incorporating new materials appears as a path to follow, which require more resilient and agile supply chains, while guaranteeing their sustainability. Such supply chains will be better prepared for the future complex challenges and risks faced by the aerospace companies. Such challenges are addressed in this work, where an integrated framework is proposed to contribute to the resilience and sustainability of aerospace supply chains. Using different analysis methods, the framework addresses four important challenges in the context of aerospace supply chain sustainability: evolution and new trends, performance assessment, supplier selection, and supply chain design and planning. © 2019, Springer Nature Switzerland AG.