Since the advent of the second digital revolution, the exponential advancement of technology is shaping a world with new social, economic, political, technological, and legal circumstances. The consequential disruptions force governments and societies to seek ways for their cities to become more humane, ethical, inclusive, intelligent, and sustainable. In recent years, the concept of City-as-a-Platform was coined with the hope of providing an innovative approach for addressing the aforementioned disruptions. Today, this concept is rapidly gaining popularity, as more and more platform thinking applications become available to the city context—so-called platform urbanism. These platforms used for identifying and addressing various urbanization problems with the assistance of open data, participatory innovation opportunity, and collective knowledge. With these developments in mind, this study aims to tackle the question of “How can platform urbanism support local governance efforts in the development of smarter cities?” Through an integrative review of journal articles published during the last decade, the evolution of City-as-a-Platform was analyzed. The findings revealed the prospects and constraints for the realization of transformative and disruptive impacts on the government and society through the platform urbanism, along with disclosing the opportunities and challenges for smarter urban development governance with collective knowledge through platform urbanism.

Good governance practices through electronic government (eGov) platforms can be suitable instruments for strengthening the outcomes of smart city policies. While eGov is the application of information and communication technologies to public services, good governance defines how well public authorities manage public and social resources. Contemporary public management views, such as ‘new public service’, include citizen participation as a critical factor to sustainable government in smart cities. Public services, in the age of digital technology, need to not only be delivered through eGov platforms, but also need to be coproduced with the engagement of social players, e.g., citizens. In this sense, eGov platforms act as digital commons, and conceived as digital spaces, where citizens and public agents interact and collaborate. In this paper, we presented the Municipal eGov Platform Assessment Model (MEPA), which is a model specifically developed to evaluate eGov platforms regarding their potential to promote commons in smart cities. The study applied MEPA to 903 municipal websites across Brazil. The results revealed that the majority of investigated Brazilian eGov platforms have only a low level of digital commons maturity. This finding discloses less citizenship coproduction, and fewer opportunities for city smartness. As the MEPA model offers public authorities an instrument to depict weaknesses and strengths of municipal eGov platforms, its adoption provides an opportunity for authorities to plan and manage their platforms to act as promoters of digital commons and citizen coproduction.

Objective: To evaluate the social isolation index and the speed of new cases of Covid-19 in Brazil. Methods: Quantitative ecological, documentary, descriptive study using secondary data, comparing the period from March 14 to May 1, 2020, carried out with the 27 Brazilian federative units, characterizing the study population. The data were analyzed through descriptive statistics using the Statistical Package for the Social Sciences-SPSS® software, evaluating the correlation between the social isolation index and the number of new cases of Covid-19, using Pearson’s correlation coefficient. Results: The increase in Covid-19 cases is exponential. There was a significant, negative correlation regarding the social isolation index and the speed of the number of new cases by Pearson's coefficient, which means that as the first one increases, the second one decreases. Conclusion: Social isolation measures have significant effects on the rate of coronavirus infection in the population.

Effective Knowledge Management (KM) practices have provided improvements in project performance. Literature indicates that Project Management Office (PMO) has an important role to play in reducing the barriers that hamper the transfer of knowledge among projects. However, there are still few studies that relate KM practices in project offices. As an attempt to fulfil this research gap, the present paper aims to analyze knowledge management practices applied by a PMO belonging to a private institution of science, technology and innovation. Through a case study, a questionnaire based on the Asian Productivity Organization (APO) KM model was applied with project managers to diagnose the current stage of maturity in KM, in addition to semi-structured interviews with a view to identifying current initiatives and opportunities for improvement in the KM strategy of that institution. The main results indicate that the organization is in an initial stage of maturity in KM and it is concluded that in order to reach higher levels of maturity and to act more assertively in supporting the projects, the PMO needs to act more effectively in the knowledge transfer among projects. The study indicates a set of KM practices that can be applied in different project offices.

Understood that knowledge loss is an imminent risk to organizations as it occurs when employees with valuable knowledge leave the organization, when there are problems with codified knowledge or when the organization does not properly manage knowledge. In this context, organizational resilience can be affected, since intangible resources enable organizational responses to the unexpected. Considering that the aspects that generate losses can be common to organizations, it is also important to identify what are the possible gains that the system has, as a result of these situations. Thus, the objective of this article is to understand the state of the art under knowledge loss in the context of organizational resilience and to identify the possible gains arising from these critical situations. As a proposal, a classification according to the concept of Intellectual Capital based on the three main dimensions: Human Capital, Structural Capital and Relational Capital. Thus, a literature review was carried out in order to identify the impacts of the loss of knowledge on resilient responses, as well as the gains for the organizational system. This theoretical study aimed to contribute to the scientific advancement of knowledge loss, to the advancement of organizational resilience aspects, as well as to Intellectual Capital. Also, it was proposed to advance in the understanding of knowledge gains, since regular aspects to organizations such as turnover, waste of knowledge, low volume of specialists and absences from work generate risks to critical knowledge. These, in turn, affect the resilience and structures of the IC. Presenting knowledge vulnerabilities makes it possible to identify possible positive impacts, in order to ensure proper knowledge management, in favor of organizational resilience and its sustainability. As a result, the study showed that the loss of knowledge is mainly from Human Capital, however there are direct and positive impacts on the structural and relational capital of the organization, as loss mitigation strategies lead to strategies for strengthening relationships and internal improvements in its structure. Furthermore, the creation of unlearning and organizational learning environments can contribute to the resilience of the system.

Resilience is presented in literature as the capacity of a system to disarm, adapt and recover from unexpected events. Despite the increase of interest of industries and academia in the subject, there are a lack of models that describes the elements that condition and determines resilient performance. This article presents a knowledge model that characterizes intangibles which determine resilient responses and is a central piece in a data science strategy supporting monitoring and analysis of potential for resilience in high-risk industries. Through an interdisciplinary approach, this model was established using an integrative review of the literature and the contribution of experts from several areas. The potential for resilience is represented by a set of leading indicators that allows continuous monitoring of both static characteristics of complex operations and dynamic resource mobilization in the face of unexpected events. Knowledge engineering and data science techniques are applied to treat data from various sources. The established approach addresses several elements that are not traditionally explored in safety management systems, including those related to knowledge that determine resilient responses, as well as factors related to human, structural and relational capital that condition resilient performance. Results of the application of the model are presented, including how the analytical model supports the definition of knowledge management and safety investment strategies in oil and gas companies in Brazil. The approach supports the prioritization of actions and investments to promote safety and enable strategies to learn from accidents and positive conditions that make operations safer despite unpredictability in daily operational routine.