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1 – 8 of 8Marino Yago Fagundes Alves, Luciana Marques Vieira and Raul Beal Partyka
The emission of greenhouse gases has become an increasingly relevant topic in supply chain management. The steel industry is a highly intensive manufacturing industry with…
Abstract
Purpose
The emission of greenhouse gases has become an increasingly relevant topic in supply chain management. The steel industry is a highly intensive manufacturing industry with significant emission levels, particularly Scope 3 emissions, which are the indirect emissions from suppliers. Since a supply chain is seen as a non-mandatory measurement item within GHG measurement protocols, this article contributes to the literature on assessing the suppliers of a focal company relative to their emissions for complying with Scope 3 (indirect emissions). It adds to the evolving literature on low-carbon supply chains.
Design/methodology/approach
This study first conducted a survey with 110 suppliers from a focal transnational buyer company. A cluster analysis was performed, and ANOVA compared constructs relating to public or private ownership and country of origin. Finally, regression tested the relationship between the motivators and governance in the mitigation strategies.
Findings
Using cluster analysis, two groups of companies were found that have statistically significant differences. The influence of the country of origin was also found in relation to governance and mitigation strategies, as was the influence of the type of company on governance. Furthermore, the more motivated the suppliers and the more governance measures they adopt, the more companies adopt their own GHG mitigation strategies. These findings are summarized by way of an analytical framework that integrates the constructs with empirical evidence.
Originality/value
The steel industry is a sector that is particularly energy-intensive and produces millions of tons of CO2 per year. Emissions from its SC (Scope 3) are relevant but still seen as a non-mandatory item for measurement purposes within the GHG measurement protocols, which leads to less attention being paid to the subject. This study contributes by way of its analytical framework that is validated by empirical data that can be tested in further studies.
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Tatiane Pellin Cislaghi, Douglas Wegner, Luciana Marques Vieira and Gabriela Zanandrea
This paper aims to analyze the influence of governance mechanisms in the generation of relational rents for supplier in short food supply chains (SFSCs).
Abstract
Purpose
This paper aims to analyze the influence of governance mechanisms in the generation of relational rents for supplier in short food supply chains (SFSCs).
Design/methodology/approach
This study used data from a survey of 181 organic producers in SFSCs, using partial least squares structural equation modeling (PLS-SEM) with the aid of the SmartPLS® 3 software for the analysis.
Findings
The results show the relationship between formal and informal governance mechanisms and relational rents. The predominance of informal mechanisms enabled a higher explanatory power than that provided by formal governance mechanisms. Further, the authors found that the complementary use of governance mechanisms has a stronger impact on generating relational rents. However, contextual factors such as relationship time, power asymmetry and uncertainty in demand have not shown any influence on governance mechanisms for generating relational rents.
Originality/value
The result sheds new light on the relevance of governance mechanisms to foster relational rents to suppliers in SFSCs. It also shows that contextual factors that affect relationships in traditional supply chains do not play a relevant role in SFSCs due to their specific characteristics.
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Deoclécio Junior Cardoso da Silva, Luis Felipe Dias Lopes, Luciana Santos Costa Vieira da Silva, Wesley Vieira da Silva, Clarissa Stefani Teixeira and Claudimar Veiga
This study examines the relationship between the innovation ecosystem and performance measurement models. Although the innovation ecosystem and measurement models are widely…
Abstract
Purpose
This study examines the relationship between the innovation ecosystem and performance measurement models. Although the innovation ecosystem and measurement models are widely recognized, the existing literature lacks a comprehensive understanding of the relationship between the proposed themes. Furthermore, it does not reveal how studies can be grouped to propose a thematic typology of the relationship.
Design/methodology/approach
The authors present a systematic literature review conducted in the Web of Science and Scopus databases, from a textual corpus that aided the proposition of the typology that aims to provide answers regarding the addressed themes.
Findings
The results of this review are based on a total of sixty peer-reviewed articles from the innovation ecosystem literature and performance measurement models between 1995 and 2020. The results make several contributions to the literature. First, by integrating evidence from empirical studies, the authors identified a typology formed by three classes: (1) ecosystem agents (2) analytical focus and (3) structured measurement tools. Second, the authors verified the relationship between the themes and discovered the existence of gaps to be filled, with the proposition of three drivers. Third, the authors presented a comprehensive mapping of field studies with a descriptive analysis of the textual corpus.
Originality/value
The results of the research provide important implications for researchers, managers and policy makers. Furthermore, the authors suggest directions for future research, including the need to examine the performance of the entire innovation ecosystem, integrating the different agents that exist for performance measurement.
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Luiz Sanches Neto, Luciana Venâncio, Willian Lazaretti da Conceição, Luciano Nascimento Corsino, Elisabete dos Santos Freire, Isabel Porto Filgueiras, Samara Moura Barreto and Ewerton Leonardo da Silva Vieira
In this chapter, we outline an approach to structuring a collaborative self-study that supports the sharing of individual experiences in a way that enables collective analysis and…
Abstract
In this chapter, we outline an approach to structuring a collaborative self-study that supports the sharing of individual experiences in a way that enables collective analysis and personal reflection. We share examples of how this approach enabled eight Brazilian teacher-researchers to work collectively to investigate their own social justice pedagogies. To do so, we used a four-phase process. First, each coauthor identified and wrote about a critical incident from their teaching that they shared electronically. In the second phase, We used email to comment on each other’s written pieces. Email exchanges scaffolded reflection. In the third phase, each person analyzed the comments and presented them back to everyone at a group meeting. Finally, through discussion, the group identified the recurring themes that permeated the different critical situations. The chapter provides a methodological overview based on our empirical work about teaching themes which are entangled with socially just PETE (Physical Education Teacher Education). We have found that being a teacher-researcher has some commonalities related to criticality whether one is teaching in K-12 schools or higher education.
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Fernando Augusto Gouvea-Reis, Danniely Carolinne Soares da Silva, Lairton Souza Borja, Patrícia de Oliveira Dias, Jadher Percio, Cassio Peterka, Janaína de Oliveira, Giselle Sodré, Claudia Mendes Feres, Wallace Dos Santos, Fábio Souza, Ana Izabel Passarella Teixeira, Daiani Cristina Cilião-Alves, Gustavo Adolfo Sierra Romero, Elza Ferreira Noronha, Julio Croda, Rodrigo Haddad, Walter Massa Ramalho, Camile de Moraes and Wildo Navegantes de Araújo
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…
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.
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Flávio P. Martins, André C.S. Batalhão, Minna Ahokas, Lara Bartocci Liboni Amui and Luciana O. Cezarino
This paper aims to assess how cocoa supply chain companies disclose sustainable development goals (SDGs) information in their sustainability reports. This assessment highlights…
Abstract
Purpose
This paper aims to assess how cocoa supply chain companies disclose sustainable development goals (SDGs) information in their sustainability reports. This assessment highlights strategic aspects of sustainable supply chain management and reveals leveraging sustainability points in the cocoa industry.
Design/methodology/approach
The two-step qualitative approach relies on text-mining company reports and subsequent content analysis that identifies the topics disclosed and relates them to SDG targets.
Findings
This study distinguishes 18 SDG targets connected to cocoa traders and 30 SDG targets to chocolate manufacturers. The following topics represent the main nexuses of connections: decent labour promotion and gender equity (social), empowering local communities and supply chain monitoring (economic) and agroforestry and climate action (environmental).
Practical implications
By highlighting the interconnections between the SDGs targeted by companies in the cocoa supply chain, this paper sheds light on the strategic SDGs for this industry and their relationships, which can help to improve sustainability disclosure and transparency. One interesting input for companies is the improvement of climate crisis prevention, focusing on non-renewable sources minimisation, carbon footprint and clear indicators of ecologic materiality.
Social implications
This study contributes to policymakers to enhance governance and accountability of global supply chains that are submitted to different regulation regimes.
Originality/value
To the best of the authors’ knowledge, no previous study has framed the cocoa industry from a broader SDG perspective. The interconnections identified reveal the key goals of the cocoa supply chain and point to strategic sustainability choices for companies in an important global industry.
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