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The research about the factors that are linked to project management performance and project management success, has been developed for several years, so the literature about this subject is relatively extensive. After a literature review about project success factors, it was found that the current research effort is mainly focused on information technology, engineering and software development projects, not yet on public health projects. Public health projects have a different focus, are concerned on providing conditions in which people can be healthy, and are essential for populations' welfare. Their distinctive attributes justify the need of research towards the development of a specific model of success factors, to support top management and project managers in planning and operational management. A model of success factors would help in the identification, control and minimization of issues that increase the likelihood of going in the wrong direction and strengthen those that create value or increase the probability of going successfully. It would also be useful as a tool for prediction and diagnosis in evaluating objectively and gradually minimize the probability of project failure, and thus assist in improving the project performance. This article presents a brief literature review on project management success and points out the need of additional research for public health projects in this area.

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Ubiquitous and mobile context-aware computing is an essential component of the smart cities infrastructure. Widely available wireless networks, the maturity level of distributed computing and the increasing number of mobile devices have significantly influenced the human experience with computing. In the present paper, we discuss the need for a model that will be able to represent a formal structure of a context-aware system in a device. The core functionality of the model is expected to expose context-aware behaviour and support dynamic integration of mobile devices and context-aware behaviour. The major contribution of this work is to identify deficiencies of the existing model which is using the notions from sociology such as Role, Ownership and Responsibility.

This paper explores state-economy relations in an understudied European country, i.e. Portugal. Main research questions are: How does the country fit into the Varieties of Capitalism conceptual framework? Are there specific patterns that define the case as a distinct model of statist economy? The research is influenced by Becker's open, historical institutionalist approach to capitalism (Becker, U. 2009. Open Varieties of Capitalism. Continuity, Change and Performances. Basingstoke: Palgrave Macmillan). The paper offers a macro-account of major transformations in state ownership, in democratic Portugal, followed by analysis of state-economy relations at a sectorial level, namely in the waste management sector. Findings suggest that Portuguese capitalism has evolved from statist socialism into a formally liberalised economy but, in reality, it re-configured into a model of state-dependency perpetuated by the allocation of vast external resources. From large-scale owner to large-scale privatizer, the state adjusted its role as a large-scale aggregator.

During underground excavations for civil or mining engineering purposes, the variations in rock mass quality are important, especially for the design of the most suitable support to be applied to ensure stability. The aim of this investigation is to model the expected behavior of the ground, and thus to predict the scenarios indicating potential variations in the quality of the rock mass during underground excavation. When considering the rock mass rating (RMR) values observed at the excavation face in six study cases, which together total more than 27 km in length of underground excavation by drilling and blasting (D&B), and based on the observed RMR values at the face, the most probable value (1-100) is estimate for the RMR index at the five subsequent front advances. It is concluded that, up to about 20 m ahead of the current face, the quality of the rock mass for the next advances is close to the quality observed at the present face, and that, with increasing distance, there is a greater deviation of RMR values with respect to the quality observed at the current face.

Digital Transformation has been growing within companies and impacting the economy and society.The main challenges are regarding people, knowledge, and motivation to change. Different companies can be at different levels of digital maturity, but to deal with Digital Transformation, they must align their Business and Information Technology Strategies.Operations are one of the nine Enterprise business dimensions where Digital Transformation can be significantly accelerated, and companies are already exploring several Technologies related to Artificial Intelligence to improve it. There are some studies about Robotic Process Automation, but Intelligent Process Automation is recent and consulting companies have been doing most of the research and selling it as a service and have economic interests.Helping companies going through Digital Transformation using Intelligent Process Automation, this study seeks to develop a strategic model that gives guidance regarding how to take benefit of Artificial Intelligence to automate their processes intelligently. The main research goal of this study is to build an Intelligent Process Automation Strategic Model that gives organizations a framework to follow, accelerating their digital transition and increasing competitiveness. Consequently, this study aims to contribute to the digital economy evolution and accelerate digital society growth.

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