553 research outputs found

    Enhancing social impacts of third sector organizations amid the Covid-19 pandemic

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    The effectiveness achieved by Third Sector Organizations (TSOs) is directly linked to goals based on their missions and results generated by their actions, which can positively or negatively impact their beneficiaries. Even in normal situations, there is already a difficulty in gathering resources to maintain their operations. The advent of the Covid-19 pandemic tends to worsen this situation depending on their social innovation and resilience capacities. From such an issue, the present study identifies strategies and lessons learned by Portuguese and Brazilian TSOs that were affected by the Covid-19 pandemic. Moreover, an assessment is made on what they did to maximize the positive social impacts and minimize the negative ones, considering the crisis management theory. Then, a qualitative phenomenological-type exploratory research was conducted, whose data was collected primarily from in-depth interviews and secondarily from documents published in the TSOs’ websites. The data collected from thirty-two Portuguese and Brazilian TSOs were assessed by means of content analysis, based on existing theory and on new subjects arisen from the reported experiences. The results have shown that, regardless the institutional model, most of them were not prepared to deal with that crisis. Besides, they had been reacting as the effects were underway, seeking to maximize the positive social impacts and to minimize the negative ones. Additionally, it is highlighted the importance of a flexible management to adapting to a new challenge in order to achieve different priority goals and to meet the main beneficiaries’ needs during the pandemic. Although in an early-stage research, interesting results have already been found, which can lead to contributions to management, governance, leadership, strategy, social innovation, sustainability and, ultimately, to the design of a crisis management model for TSOs. This research also calls for complementary future works.info:eu-repo/semantics/acceptedVersio

    On the independence number and Hamiltonicity of uniform random intersection graphs

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    AbstractIn the uniform random intersection graphs model, denoted by Gn,m,λ, to each vertex v we assign exactly λ randomly chosen labels of some label set M of m labels and we connect every pair of vertices that has at least one label in common. In this model, we estimate the independence number α(Gn,m,λ), for the wide range m=⌊nα⌋,α<1 and λ=O(m1/4). We also prove the Hamiltonicity of this model by an interesting combinatorial construction. Finally, we give a brief note concerning the independence number of Gn,m,p random intersection graphs, in which each vertex chooses labels with probability p

    Performance evaluation of Brazilian social organizations according to the best international practices

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    Brazil, social organizations demonstrate the results generated to the various beneficiaries by measuring their performances based on the objectives, goals and indicators agreed with their supervisory bodies. Therefore, the adoption of best performance evaluation practices is important to ensure adherence to legal and regulatory standards and to support decision making in approving their annual accounts in order to maintain their qualifications and legitimize themselves for the receipt of new investments and financing. Thus, the objective of this research is to demonstrate if the forms of performance measurement used by the social organizations linked to the Ministry of Education in Brazil adhere to the best international practices. In this way, this work presents contributions by establishing a theoretical reference for performance measurement and comparing it with the methodologies applied in Brazil, by conducting a qualitative exploratory research based on multiple case studies in which the secondary data obtained were treated in the form of content analysis. The results showed that the performance evaluation practices adopted by the analyzed institutions do not adhere to international benchmarking. Additionally, this research points out ways to evolve the methodology currently adopted and brings up other fragilities related to transparency, control and supervision by the supervising Ministry.info:eu-repo/semantics/acceptedVersio

    Maximum Cliques in Graphs with Small Intersection Number and Random Intersection Graphs

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    In this paper, we relate the problem of finding a maximum clique to the intersection number of the input graph (i.e. the minimum number of cliques needed to edge cover the graph). In particular, we consider the maximum clique problem for graphs with small intersection number and random intersection graphs (a model in which each one of mm labels is chosen independently with probability pp by each one of nn vertices, and there are edges between any vertices with overlaps in the labels chosen). We first present a simple algorithm which, on input GG finds a maximum clique in O(22m+O(m)+n2min{2m,n})O(2^{2^m + O(m)} + n^2 \min\{2^m, n\}) time steps, where mm is an upper bound on the intersection number and nn is the number of vertices. Consequently, when mlnlnnm \leq \ln{\ln{n}} the running time of this algorithm is polynomial. We then consider random instances of the random intersection graphs model as input graphs. As our main contribution, we prove that, when the number of labels is not too large (m=nα,0<α<1m=n^{\alpha}, 0< \alpha <1), we can use the label choices of the vertices to find a maximum clique in polynomial time whp. The proof of correctness for this algorithm relies on our Single Label Clique Theorem, which roughly states that whp a "large enough" clique cannot be formed by more than one label. This theorem generalizes and strengthens other related results in the state of the art, but also broadens the range of values considered. As an important consequence of our Single Label Clique Theorem, we prove that the problem of inferring the complete information of label choices for each vertex from the resulting random intersection graph (i.e. the \emph{label representation of the graph}) is \emph{solvable} whp. Finding efficient algorithms for constructing such a label representation is left as an interesting open problem for future research

    Performance evaluation of Brazilian social organizations according to the best international practices

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    In Brazil, social organizations demonstrate the results generated to the various beneficiaries by measuring their performances based on the objectives, goals and indicators agreed with their supervisory bodies. Therefore, the adoption of best performance evaluation practices is important to ensure adherence to legal and regulatory standards and to support decision making in approving their annual accounts in order to maintain their qualifications and legitimize themselves for the receipt of new investments and financing. Thus, the objective of this research is to demonstrate if the forms of performance measurement used by the social organizations linked to the Ministry of Education in Brazil adhere to the best international practices. In this way, this work presents contributions by establishing a theoretical reference for performance measurement and comparing it with the methodologies applied in Brazil, by conducting a qualitative exploratory research based on multiple case studies in which the secondary data obtained were treated in the form of content analysis. The results showed that the performance evaluation practices adopted by the analyzed institutions do not adhere to international benchmark. Additionally, this research points out ways to evolve the methodology currently adopted and brings up other fragility related to transparency, control and supervision by the supervising Ministry.info:eu-repo/semantics/acceptedVersio

    A Partial History of Connecticut College

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