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The purpose of this paper is to identify the contributions of information systems (IS) for the evolutionary process of corporate environmental management by highlighting implications for big data research.

The authors conducted two case studies with Brazilian enterprises certified by ISO 14001, by conducting interviews, document analysis and direct observation. Implications for a research agenda on big data are also presented.

As results, the authors present the identification of the main contributions of IS for the evolution of environmental management in the studied cases. The authors found that advanced stage regarding IS may be considered a factor that implies a more effective environmental management.

The main contribution of this research consists of the presentation of a framework that identifies the support of IS for corporate environmental practices. By confirming the relation between IS and maturity levels of environmental management, the authors highlight that application of big data has the potential of boosting the relation between IS and corporate environmental management.

This paper aims to investigate the main associations between research regarding innovation and green supply chain management (GSCM).

For this the study sought to (1) present the most cited authors in the area; (2) demonstrate the main localities that develop research with this focus; (3) list the main journals with the published research on the themes. The methodology used was a bibliometric survey using the Scopus database as the data source. The VOSviewer® software was used to perform the analysis of the database from the respective DOI® of each article.

As results of the research, it is possible to demonstrate the existence of an agglomeration of countries that are interrelated in the development of research on these themes, especially China, the United States and the United Kingdom as the main foundations of this center.

This paper evidences the direction of scientific research within the analyzed area, demonstrating where there is convergence for innovation in actions related to GSCM. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research or check gaps to be filled by the development of new processes.

The purpose of this paper is to present an overview of the conceptual framework related to the Lean and Green practices, paradigms, future prospects and problems, indicating points of convergence and divergence between them.

Based on this premise, through vast literature systematization, the authors sought to categorize studies in order to consolidate constructs, reinforcing aspects regarding the positive and negative approaches and pointing out the gaps in the current state of the art. Broad literature systematization was carried out; the authors found 107 articles published between 2014 and 2018, separated into 10 categories.

The main constructs confirmed are the positive approximation of the Lean and Green union, evidenced by studies premised on the independent variable category demonstrating that their union influences other environmental performance variables.

The present research is a systematization of the literature, so its results have to be confirmed by other studies.

The study supports the Lean and Green theme, confirming converging issues between the two areas and launching new topics for future research.

The study contributed to the environmental theme by confirming synergies of the Lean and Green union and presenting new research themes.

To assert that Lean and Green systems union is sustainable, with regard to the tripod of sustainability, more studies on the social category are necessary.

In this paper, the authors aim to explore the relationship between the concepts of Industry 4.0 and circular economy (CE) as a contribution to the management decision on emerging countries. By analyzing the trends of scientific production to ascertain the interface of both constructs, the purpose of this paper is to identify limitations for Industry 4.0 and CE implementation in Brazil, as well to present an original framework and strategic pathways to overcome limitations for emerging countries.

Supported in the Brazilian case, the authors draw a framework using the structuralism approach to indicate pathways for the strategic positioning of emerging economies that consider their limitation and potential for competitive advantage. By understanding country-related limitations such as social and economic contingencies, the authors conceive a structure of implications for Brazil’s capacity to develop CE in the digital era.

Results show that Brazil has a reasonable, institutional and stable environment, as well as strong regulatory policies for solid waste that can stimulate CE in the country. However, it requires more communication between actors, especially public and private institutions, performing long-range relationships. Also, the country requires consolidation of industrial policies and investments in the remanufacturing process in the supply chain. Likewise, despite Brazil’s ability to take advantage of CE’s benefits, the country presents a huge lack of qualification to fulfill the competences that the digitization process demands. Economically, Brazil has been fighting against an economic crisis since 2014 that has limited general investments, especially in the industrial sector. Industry presents low performance and decreasing GDP participation, which leads to constant overseas production transfer as a consequence of the workforce’s high costs.

The authors can affirm that Brazil is far behind developed countries in searching for the capacity to provide CE through technological industrial change. The main problems are related to the lack of articulation of public and private spheres to promote new digital business models. Therefore, the structured framework enables managers and public agents to provide solutions and to properly address supply chain bottlenecks in emerging economies.

Exploring the relationship between the concepts of Industry 4.0 and CE through the specific lens of the structuralist method, this work can contribute to the management decision on emerging countries, looking into four important perspectives: political, economic, social and technological.

This paper aims to analyze green human resource management's (GHRM’s) relationships with corporate social responsibility (CSR) and customer relationship management in Brazilian companies.

A sample of 142 companies – from the electro-electronics, mechanical metals, packaging, footwear and plastics industries – was examined using the partial least squares method.

The results reveal that GHRM practices positively influence CSR practices, which act as a moderating construct to positively influence customer relationship management.

The results cannot be generalized due to the non-probabilistic sampling used; however, the results meet the requirements of the statistical methodology.

These findings contribute to business managers' decision-making, as they demonstrate that organizations must develop a consistent culture focused on social and environmental issues. This also reveals that the human resources field can contribute to developing a socially correct company, with the subsequent possibility of satisfying customers to retain and create customer loyalty.

The results show that for a company to be sustainable from an economic, social, and environmental perspective, the involvement of human resource management is fundamental.

This paper contributes to academia by presenting a new theoretical model, tested using a sample of Brazilian companies, which illuminates GHRM as an area still under development.

In the past, simply fulfilling economic performance alone was critical to ensuring the success of companies and their shareholders, but this traditional perspective is not compatible with society's current demands, as there is increasing social pressure on organizations to become more sustainable and reduce impacts on the environment, promoting sustainable results in their business processes. In this context, the specialized literature states that human resources management (HRM) is considered a central aspect for building sustainable organizations, in particular, the area of green human resources management (GHRM). Thus, this study analyzes the relationship between GHRM and corporate social responsibility (CSR) in Brazilian companies. Company's age, size, ISO 9001 and 14001 certifications are the control variables.

The authors adopted a quantitative approach in conducting the survey. Four waves of email were sent to HR and CSR managers from 853 Brazilian companies from the metallurgical, automotive and chemical industries. In total, 79 questionnaires were fully answered, higher than the minimum sample calculated by the G*Power 3.1 software, which corresponds to a return rate of 9.26%. For the analysis of the results, the partial least squares method was used.

This research identifies that GHRM practices, in fact, positively influence CSR practices. The findings evidence that practices of performance evaluation, teamwork and recruitment and selection are the most important for a better CSR performance. The research results indicate that the “ISO 9001 certification” control variable also has a positive and significant effect on CSR and that the size of the company, the age of the company and the ISO 14001 certification, in the analyzed sample, were not relevant (as control variables) for CSR.

Current literature highlights the gap between GHRM and CSR. This relationship is not explored in Brazil. The study uses a new theoretical model, and it fills the gap identified in the literature. This paper brings important theoretical and managerial contributions. It is the first in the literature to show, in an empirical way, the positive relationship between GHRM and CSR, contributing in an original way to the state of the art of the GHRM and CSR theme. In addition, this research adds empirical evidence on GHRM and CSR in Latin America/South America/Brazil.

The purpose of this paper is to carry out a systematic review of the state of the art of the environmental training theme and to propose a research agenda to shed light on this subject by suggesting new research in the area.

This is a systematic review of the state of the art of the environmental training theme.

The authors’ main contribution is the proposal of a research agenda with 11 recommendations for future research, such as conducting research in developed countries; research focusing only on environmental training; qualitative research using case studies; research that explores the co-evolution of environmental training practices with environmental management practices and with the maturity stage of environmental management in organizations; and research that addresses all aspects of environmental training phases proposed by ISO 10015: 2001.

This is the most recent research which conducts a systematic review of the state of the art on environmental training and proposes a research agenda with several suggestions that can guide researchers in human resources, environmental management, sustainability and supply chain management.

The purpose of this paper is to address the potential impacts of Industry 4.0 on human resource management (HRM) – with a particular focus on employment, job profile and qualification and skill requirements in the workforce – which can have implications for supply chain management (SCM). Consequently, exploratory relationships among Industry 4.0, HRM and SCM are presented based on a systematic review.

To explore Industry 4.0 literature and its impact on employment, the authors used a systematic literature review to identify, classify and analyze current knowledge, flagging trends and proposing recommendations for future research in this area. Using the Web of Science database, the authors utilized co-citation software to visualize the networks which emerged from recurrent terms and which were then used to develop the categories of analysis.

The authors can affirm that the literature in this field is in a transition process, from the early studies of German academics to the current development of new impacts worldwide. Industry 4.0 is the central theme of the literature analyzed and is accomplished through the development of employment, qualifications, skills and learning frameworks. The results reveal that most papers are conceptual, with quantitative studies still lacking. Developed countries have a leading role in terms of research production, while Latin America and Asia are far behind. Clustering reveals four dominant themes (educational changes, employment scenario, work infrastructure resources and work meaning and proposal). The first refers to labor changes around working conditions, the work environment and new skills which are required. The second main theme concerns the potentially unstable shift in the labor market has toward a high-level context. The third is about the technical interface of humans and machines, and finally, the fourth understands the German industry as a starting point for global industrial improvements and work proposal changes. Furthermore, socio-technical systems cover the implications of HRM for SCM in three different dimensions: qualification and education (human competences), collaboration and integration of SCM (organizational competences) and data and information management (technical competences).

An original research agenda for further development of the topic. Additionally, the implications of the findings for SCM practitioners are presented.

SCM managers can benefit from the results of this paper by developing adjusted polices for organizational and human aspects. Specially about training programs to improve technology skills and education programs for cyber-human new plataforms.

So far, Industry 4.0, HRM-related topics and implications for SCM have generally been considered separately. This paper elucidates the few important studies on the impacts of Industry 4.0 on human-related topics, such as the labor market, building a research framework using the main contributions highlighted in the literature. An original research agenda is presented, as well as potential implications for SCM.

This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the subject. Facing the growing interest in carrying out studies directed at sustainability, to the detriment of more prescient environmental and social impacts and the need to consolidate the concepts present in the literature regarding the SSCM, an absence of similar studies in the current literature was found. The authors have selected articles to compose a database that allows users to analyze and classify publications on MMs in SSCM, being those subdivided into 7 categories: focus, methodology, analyzed sector, sustainable practices, dimensions of sustainable development, type of MM and model/framework validation method.

To achieve this purpose, a literature systematization was conducted by searching publications using defined keywords in two databases and following a process of classification. The systematic process has five steps, from the selection of databases to the filtering of publications, review of information and analysis of the sample.

The topic under study is promising, with a few publications dealing with it, mainly in Brazil, and there is a trend to exploit more of the area in future research.

This research provides a detailed analysis of an emerging theme, divided into seven thematic categories. Results demonstrate that the topic is still underexplored, indicating an important research gap to be filled.

The purpose of this paper is to evaluate the predictive capacity of market risk estimation models in times of financial crises.

For this, value-at-risk (VaR) valuation models applied to the daily returns of portfolios composed of stock indexes of developed and emerging countries were tested. The Historical Simulation VaR model, multivariate ARCH models (BEKK, VECH and constant conditional correlation), artificial neural networks and copula functions were tested. The data sample refers to the periods of two international financial crises, the Asian Crisis of 1997, and the US Sub Prime Crisis of 2008.

The results pointed out that the multivariate ARCH models (VECH and BEKK) and Copula-Clayton had similar performance, with good adjustments in 100 percent of the tests. It was not possible to perceive significant differences between the adjustments for developed and emerging countries and of the crisis and normal periods, which was different to what was expected.

Previous studies focus on the estimation of VaR by a group of models. One of the contributions of this paper is to use several forms of estimation.