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Article
Publication date: 19 November 2024

Maria Gabriela Mendonça Peixoto, Gustavo Alves de Melo, Maria Cristina Angélico Mendonça, Marcel Andreotti Musetti, André Luiz Marques Serrano, Lucas Oliveira Gomes Ferreira and Clovis Neumann

This paper aims to contextualize the process of public hospital providing services, based on the measurement of the performance of Federal University Hospitals (HUFs) of Brazil…

Abstract

Purpose

This paper aims to contextualize the process of public hospital providing services, based on the measurement of the performance of Federal University Hospitals (HUFs) of Brazil, using the technique of multivariate statistics of principal component analysis.

Design/methodology/approach

This research presented a descriptive and quantitative character, as well as exploratory purpose and followed the inductive logic, being empirically structured in two stages, that is, the application of principal component analysis (PCA) in four healthcare performance dimensions; subsequently, the full reapplication of principal component analysis in the most highly correlated variables, in module, with the first three main components (PC1, PC2 and PC3).

Findings

From the principal component analysis, considering mainly the component I, with twice the explanatory power of the second (PC2) and third components (PC3), it was possible to evidence the efficient or inefficient behavior of the HUFs evaluated, through the production of medical residency, by specialty area. Finally, it was observed the formation of two groups composed of seven and eight hospitals, that is, Groups II and IV, which shows that these groups reflect similarities, with respect to the scores and importance of the variables for both hospitals’ groups.

Research limitations/implications

Among the main limitations, it was observed incomplete data for some HUFs, which made it impossible to search for information to explain and better contextualize certain aspects. More specifically, a limited number of hospitals with complete information was dealt with for 60% of SIMEC/REHUF performance indicators.

Practical implications

The use of PCA multivariate technique was of great contribution to the contextualization of the performance and productivity of homogeneous and autonomous units, represented by the hospitals. It was possible to generate a high quantity of information, to contribute with assumptions to complement the decision-making processes in these organizations.

Social implications

Development of public policies, with emphasis on hospitals linked to teaching centers represented by university hospitals. The projection of improvements in the reach of the efficiency of the services of assistance to the public health, from the qualified formation of professionals, both to academy, as to clinical practice.

Originality/value

The originality of this paper for the scenarios, Brazilian public health sector and academic area involved the application of a consolidated performance analysis technique, that is, PCA, obtaining a rich work in relation to the extensive exploitation of techniques to support decision-making processes. In addition, the sequence and the way in which the content, formed by object of study and techniques, has been organized, generating a particular scenario for the measurement of performance in hospital organizations.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Abstract

Purpose

The aim of this study was to evaluate the performance of fuel flow processes in a network of eight gas stations, located in the mesoregion of Alto Paranaíba and Triângulo Mineiro.

Design/methodology/approach

Two multi-criteria decision support methods were applied, respectively, of a statistical and mathematical nature, namely, Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA). The research method used was quantitative, with a brief complement of qualitative research, and descriptive in purpose, supported by the inductive method. The data collection stage took place with the support of interviews, with the application of a structured questionnaire, and non-probabilistic sampling, for convenience.

Findings

It was possible to verify that the gas station that stood out the most was station 2 (GS2), which achieved maximum efficiency, a fact that can be justified by the analysis resulting from the application of PCA, as for the product purchase variable (PP), the GS2 is the one that buys the most fuel, and is also the one with the largest storage capacity (C), and the highest volume of product sales (PS), which suggests signs of balance between supply and demand for this station, justifying its prominence.

Research limitations/implications

The limitations of the study were related to the DEA technique, which requires a number of variables/indicators three times smaller than the number of DMUs considered, and the difficulty in obtaining financial data on the DMUs analyzed. Considering the security and anonymity of the gas station network, it was not possible to use this data.

Practical implications

The performance assessment of fuel flow processes carried out in this study promotes the efficient use of available resources as well as identifying efficient DMUs that represent benchmarks for improving management processes and performance of inefficient DMUs.

Social implications

From a social perspective, this study promotes the improvement of the quality of flow processes and effective management of the fuel supply chain, ensuring the safe storage and transportation of fuels to customer supply. Performance management in this sector moves other sectors of the economy, since an efficient unit represents a balance between supply and demand, and consequently, boosts the regional economy, promoting economic growth of the population. Hiring qualified labor for this purpose also represents one of the implications of the study. From an environmental perspective, optimizing flow processes generates a reduction in greenhouse gas emissions and encourages the formulation of public policies aimed at consolidating sustainable practices.

Originality/value

Performance management applied to the context of the fuel supply chain is a relevant topic that has been little explored in scientific research, with a low level of information detail. This study using the inductive method allows the generalization and replication of this management pattern in other organizations in the sector in order to increase the efficiency of the fuel distribution system, with the perspective of maximizing outputs and reducing input consumption. In this aspect, the study introduces possibilities for advancement in social and environmental perspectives based on the effective management of fuel logistics.

Details

Journal of Advances in Management Research, vol. 21 no. 4
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 23 May 2024

Gustavo Alves de Melo, Maria Gabriela Mendonça Peixoto, Maria Cristina Angélico Mendonça, Marcel Andreotti Musetti, André Luiz Marques Serrano and Lucas Oliveira Gomes Ferreira

This paper aimed to contextualize the process of public hospital providing services, based on the measurement of the performance of Federal University Hospitals (HUFs) of Brazil…

Abstract

Purpose

This paper aimed to contextualize the process of public hospital providing services, based on the measurement of the performance of Federal University Hospitals (HUFs) of Brazil, using the technique of multivariate statistics of principal component analysis.

Design/methodology/approach

This research presented a descriptive and quantitative character, as well as exploratory purpose and followed the inductive logic, being empirically structured in two stages, that is, the application of principal component analysis (PCA) in four healthcare performance dimensions; subsequently, the full reapplication of principal component analysis in the most highly correlated variables, in module, with the first three main components (PC1, PC2 and PC3).

Findings

From the principal component analysis, considering mainly component I, with twice the explanatory power of the second (PC2) and third components (PC3), it was possible to evidence the efficient or inefficient behavior of the HUFs evaluated through the production of medical residency, by specialty area. Finally, it was observed that the formation of two groups composed of seven and eight hospitals, that is, Groups II and IV shows that these groups reflect similarities with respect to the scores and importance of the variables for both hospitals’ groups.

Research limitations/implications

Among the main limitations it was observed that there was incomplete data for some HUFs, which made it impossible to search for information to explain and better contextualize certain aspects. More specifically, a limited number of hospitals with complete information were dealt with for 60% of SIMEC/REHUF performance indicators.

Practical implications

The use of PCA multivariate technique was of great contribution to the contextualization of the performance and productivity of homogeneous and autonomous units represented by the hospitals. It was possible to generate a large quantity of information in order to contribute with assumptions to complement the decision-making processes in these organizations.

Social implications

Development of public policies with emphasis on hospitals linked to teaching centers represented by university hospitals. This also involved the projection of improvements in the reach of the efficiency of the services of assistance to the public health, from the qualified formation of professionals, both to academy, as to clinical practice.

Originality/value

The originality of this paper for the scenarios of the Brazilian public health sector and academic area involved the application of a consolidated performance analysis technique, that is, PCA, obtaining a rich work in relation to the extensive exploitation of techniques to support decision-making processes. In addition, the sequence and the way in which the content, formed by object of study and techniques, has been organized, generates a particular scenario for the measurement of performance in hospital organizations.

Details

Journal of Health Organization and Management, vol. 38 no. 3
Type: Research Article
ISSN: 1477-7266

Keywords

Article
Publication date: 7 November 2023

Matheus Francisco, João Pereira, Lucas Oliveira, Sebastião Simões Cunha and G.F. Gomes

The present paper aims at the multi-objective optimization of a reentrant hexagonal cell auxetic structure. In addition, a parametric analysis will be carried out to verify how…

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Abstract

Purpose

The present paper aims at the multi-objective optimization of a reentrant hexagonal cell auxetic structure. In addition, a parametric analysis will be carried out to verify how each of the design factors impact each of the responses.

Design/methodology/approach

The multi-objective optimization of five different responses of an auxetic model was considered: mass, critical buckling load under compression effort, natural frequency, Poisson's ratio and failure load. The response surface methodology was applied, and a new meta-heuristic of optimization called the multi-objective Lichtenberg algorithm was applied to find the optimized configuration of the model. It was possible to increase the failure load by 26.75% in compression performance optimization. Furthermore, in the optimization of modal performance, it was possible to increase the natural frequency by 37.43%. Finally, all 5 responses analyzed simultaneously were optimized. In this case, it was possible to increase the critical buckling load by 42.55%, the failure load by 28.70% and reduce the mass and Poisson's ratio by 15.97 and 11%, respectively. This paper addresses something new in the scientific world to date when evaluating in a multi-objective optimization problem, the compression and modal performance of an auxetic reentrant model.

Findings

It was possible to find multi-objective optimized structures. It was possible to increase the critical buckling load by 42.82%, and the failure load in compression performance by 26.75%. Furthermore, in the optimization of modal performance, it was possible to increase the natural frequency by 37.43%, and decrease the mass by 15.97%. Finally, all 5 responses analyzed simultaneously were optimized. In this case, it was possible to increase the critical buckling load by 42.55%, increase the failure load by 28.70% and reduce the mass and Poisson's ratio by 15.97 and 11%, respectively.

Originality/value

There is no work in the literature to date that performed the optimization of 5 responses simultaneously of a reentrant hexagonal cell auxetic structure. This paper also presents an unprecedented statistical analysis in the literature that verifies how the design factors impact each of the responses.

Details

Engineering Computations, vol. 40 no. 9/10
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 26 November 2024

Marco Antonio Pacheco Junior, Tiago F.A.C. Sigahi, Izabela Simon Rampasso, Lucas Gabriel Zanon, Walter Leal Filho and Rosley Anholon

This paper proposes an evaluation approach for analyzing excellence management practices at a regional level based on experts’ assessment.

Abstract

Purpose

This paper proposes an evaluation approach for analyzing excellence management practices at a regional level based on experts’ assessment.

Design/methodology/approach

Using the National Quality Foundation’s Management Excellence Model (MEG), 19 management excellence practices were identified and tailored for small- and medium-sized industries (SMIs). Data were collected through a survey with 25 experts who assessed these practices in the context of Brazilian manufacturing SMIs. The analysis utilized Fuzzy TOPSIS Class (FTC), and a sensitivity analysis was also conducted.

Findings

The proposed evaluation approach integrates a reference model for management excellence (MEG), an analysis method incorporating uncertainty (FTC), and results that enable decision-makers to make well-informed choices. Of the 19 practices assessed, 15 were classified as “unacceptable,” while four were rated as “regular,” and none as “expected.” Key challenges relate to practices in information security, knowledge, innovation and change management.

Research limitations/implications

The study’s primary limitation is the use of non-probabilistic sampling and its focus on the Brazilian context. However, the extensive knowledge and experience of the experts in manufacturing SMIs and the need for studies addressing specific regional contexts should be noted.

Practical implications

The findings reveal a significant gap between ideal management practices and the actual state of SMIs, especially in emerging markets.

Originality/value

This research introduces a novel approach that combines a reference model tailored for SMIs with a multicriteria decision-making method, offering valuable insights for decision-makers and guiding future research.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Abstract

Purpose

This study aims to estimate the overall SARS-CoV-2 seroprevalence and evaluate the accuracy of an antibody rapid test compared to a reference serological assay during a COVID-19 outbreak in a prison complex housing over 13,000 prisoners in Brasília.

Design/methodology/approach

The authors obtained a randomized, stratified representative sample of each prison unit and conducted a repeated serosurvey among prisoners between June and July 2020, using a lateral-flow immunochromatographic assay (LFIA). Samples were also retested using a chemiluminescence enzyme immunoassay (CLIA) to compare SARS-CoV-2 seroprevalence and 21-days incidence, as well as to estimate the overall infection fatality rate (IFR) and determine the diagnostic accuracy of the LFIA test.

Findings

This study identified 485 eligible individuals and enrolled 460 participants. Baseline and 21-days follow-up seroprevalence were estimated at 52.0% (95% CI 44.9–59.0) and 56.7% (95% CI 48.2–65.3) with LFIA; and 80.7% (95% CI 74.1–87.3) and 81.1% (95% CI 74.4–87.8) with CLIA, with an overall IFR of 0.02%. There were 78.2% (95% CI 66.7–89.7) symptomatic individuals among the positive cases. Sensitivity and specificity of LFIA were estimated at 43.4% and 83.3% for IgM; 46.5% and 91.5% for IgG; and 59.1% and 77.3% for combined tests.

Originality/value

The authors found high seroprevalence of anti-SARS-CoV-2 antibodies within the prison complex. The occurrence of asymptomatic infection highlights the importance of periodic mass testing in addition to case-finding of symptomatic individuals; however, the field performance of LFIA tests should be validated. This study recommends that vaccination strategies consider the inclusion of prisoners and prison staff in priority groups.

Details

International Journal of Prisoner Health, vol. 19 no. 2
Type: Research Article
ISSN: 1744-9200

Keywords

Abstract

Details

The Brazilian Way of Doing Public Administration
Type: Book
ISBN: 978-1-80262-655-1

Article
Publication date: 25 April 2024

Andrei Bonamigo, Andrezza Nunes, Lucas Ferreira Mendes, Marcela Cohen Martelotte and Herlandí De Souza Andrade

This study aims to examine the impact of Lean 4.0 practices on value co-creation in the dairy ecosystem.

Abstract

Purpose

This study aims to examine the impact of Lean 4.0 practices on value co-creation in the dairy ecosystem.

Design/methodology/approach

Data collection were carried out through a questionary application with 126 professionals linked to the dairy ecosystem, including milk producers, milk cooperatives and milk transporters. The data were analyzed using Cluster Analysis, Mann-Whitney test and Chi-Square test.

Findings

A strong relation was found between the use of Lean 4.0 tools and the increase in operational performance, in addition to milk quality. Moreover, it can be noted that the use of digital technologies from Industry 4.0 has a strong relation with dairy production optimization, in other words, it is possible to be more efficient in the dairy process via Lean 4.0 adoption.

Research limitations/implications

The study is limited to analyzing the Brazilian dairy ecosystem. The results presented may not reflect the characteristics of the other countries.

Practical implications

Once the potential empirical impacts of the relation between Lean 4.0 and value co-creation are elucidated, it is possible to direct strategies for decision-making and guide efforts by researchers and professionals to deal with the waste mitigation present in the dairy sector.

Social implications

Lean 4.0 proves to be a potential solution to improve the operational performance of the dairy production system. Lean 4.0, linked to value co-creation, allows the integration of the production sector with consumers, through smart technologies, so new services and experiences can be provided to the consumer market. Additionally, the consumer experience can be stimulated based on Lean 4.0, once the quality specification is highlighted based on data science and smart management control.

Originality/value

To the best of the authors’ knowledge, this is the first study that analyzes the interrelationship between the Lean 4.0 philosophy and the value co-creation in the dairy ecosystem. In this sense, the study reveals the main contributions of this interrelation to the dairy sector via value co-creation, which demonstrates a new perspective on the complementarity of resources, elimination of process losses and new experiences for the user through digital technologies integrated with the Lean Thinking approach.

Details

International Journal of Lean Six Sigma, vol. 15 no. 7
Type: Research Article
ISSN: 2040-4166

Keywords

Content available
Book part
Publication date: 22 February 2023

Abstract

Details

The Brazilian Way of Doing Public Administration
Type: Book
ISBN: 978-1-80262-655-1

Book part
Publication date: 26 August 2014

Paul Duguid

Diversified trading networks have recently drawn a great deal of attention. In the process, the importance of diversity has perhaps been overemphasized. Using the trade in port…

Abstract

Diversified trading networks have recently drawn a great deal of attention. In the process, the importance of diversity has perhaps been overemphasized. Using the trade in port wine from Portugal to Britain as an example, this essay attempts to show how a market once dominated by general, diversified traders was taken over by dedicated specialists whose success might almost be measured by the degree to which they rejected diversification to form a dedicated “commodity chain.” The essay suggests that this strategy was better able to handle matters of quality and the specialized knowledge that port wine required. The essay also highlights the question of power in such a chain. Endemic commodity-chain struggles are clearest in the vertical brand war that broke out in the nineteenth century, which, by concentrating power, marked the final stage in the transformation of the trade from network to vertical integration.

Details

Collaboration and Competition in Business Ecosystems
Type: Book
ISBN: 978-1-78190-826-6

Keywords

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