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The purpose of this paper is a description of DITCI, its drop loads and sensors, the impact tools, the robot dynamic impact safety artifacts, data analysis, and modeling of test results. The dynamic impact testing and calibration instrument (DITCI) is a simple instrument with a significant data collection and analysis capability that is used for the testing and calibration of biosimulant human tissue artifacts. These artifacts may be used to measure the severity of injuries caused in the case of a robot impact with a human.

In this paper, we describe the DITCI adjustable impact and flexible foundation mechanism, which allows the selection of a variety of impact force levels and foundation stiffness. The instrument can accommodate arrays of a variety of sensors and impact tools, simulating both real manufacturing tools and the testing requirements of standards setting organizations.

A computer data acquisition system may collect a variety of impact motion, force and torque data, which are used to develop a variety of mathematical model representations of the artifacts. Finally, we describe the fabrication and testing of human abdomen soft tissue artifacts with embedded markers, used to display the severity of impact injury tissue deformation.

DITCI and the use of biosimulant human tissue artifacts will permit a better understanding of the severity of injury, which will be caused in the case of a robot impact with a human, without the use of expensive cadaver parts. The limitations are set by the ability to build artifacts with material properties similar to those of various parts of the human body.

This technology will be particularly useful for small manufacturing companies that cannot afford the use of expensive instrumentation and technical consultants.

Impact tests were performed at maximum impact force and average pressure levels that are below, at and above the levels recommended by a proposed International Organization for Standardization standard. These test results will be used to verify whether the adopted safety standards will protect interactive robots human operators for various robot tools and control modes.

Various research groups have used human subjects to collect data on pain induced by industrial robots. Unfortunately, human safety testing is not an option for human–robot collaboration in industrial applications every time there is a change of a tool or control program, so the use of biosimulant artifacts is expected to be a good alternative.

Due to the warming at the automotive market in the last years and consequently the growth of vehicle production has been moved and placed emphasis on the segment. In recent years, some have known, for example, as the earthquake that struck Japan in 2011 was able to disrupt the suppliers of the country. Due to these events, supply chain risk management has become essential to the supply chain operations success. The purpose of this paper is to evaluate the supplier’s systematic selection at the automotive industry compared with the identified models in the literature.

A case study applied at the automotive to propose a method for selecting suppliers considering the risk management.

These results indicate that the organization has established criteria for suppliers selection, this systematic aims to identify the potential risks in the supply chain before the supplier award the project but it’s also the current practice can be improved using as reference the comparative method as applied in this study.

The risk management, a few discussed topic but on the rise among researches, show that the companies, especially those inserted in the automotive segment has been used different techniques for selecting suppliers to focus in a better supply chain control. Establish criteria for selecting suppliers means identifying in advanced the potential risks that the suppliers may offer to the organization during the supply to avoid any interruptions to supply.

This paper analyses the efficiency of individual retail stores belonging to a Portuguese multi‐market hypermarket retailing chain, employing data envelopment analysis (DEA). The use of DEA for the analysis of intra‐chain comparative store efficiency can be of value in examining the competitiveness of the chain as a whole. Competitiveness should be based on benchmarking the retail outlets which compose the chain. We conclude from our research that some outlets are at the frontier of best practice, while others are inefficient. Managerial implications arising from the study are considered.

To analyze the role of technologies in digital transformation (DT) and innovative business models (IBMs) in the financial industry (FI) from the perspective of strategic stakeholders.

A systematic literature review (SLR) was conducted with articles written between 2008 and 2023, utilizing Scopus, Web of Science, ScienceDirect and Wiley databases.

The adoption of innovative technologies, digital platforms and automation was identified as the key outcome. The connection between stakeholder involvement and technologies in DT is emphasized. A theoretical framework integrating DT into organizational objectives is proposed.

The study presents limitations in the selection of databases and suggests a deeper exploration of stakeholder involvement.

This systematization resulted in the framework presented in figure 6, comprising strategic elements that can be used as a managerial tool by managers seeking to internalize the principles of DT.

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.

This study aims to analyse how Natura's practices of circular economy and sustainability overlap.

This study is descriptive and qualitative, based on a thematic content analysis, and it describes and compares the performance of Natura in several dimensions, including economic, environmental, social, human rights, society, product responsibility and stakeholder engagement. A longitudinal study was carried out on the basis of an analysis of all Natura sustainability reports; these reports are available for public consultation and cover the period from 2001 to 2016.

The main results show that there is symmetry between sustainability practices and the premises of the circular economy, with the ReSOLVE classification being met in most of the items.

Innovation is the essential element that facilitated the creation of a portfolio of products that meet consumer demand.

The aim of this chapter is to promote a reflection on how the smart mobs are established, despite the 2014 FIFA World Cup in Brazil, that took place in Brazil from June 12 to July 13, 2014, in comparison with the organizational model of the contemporary Brazilian public management, emphasizing that, in spite of “major reforms” carried out and of the progressive speeches, the focus continues to be the way to control the resources and the people, including the construction of Infrastructure for 2014 FIFA World Cup in Brazil, especially based on Principle 10 (Anti-Corruption) of UN Global Compact initiative.

This chapter draws both on primary and secondary qualitative data, especially the literature of smart mobs, as well as public management models in Brazil, mainly based on Guerreiro Ramos, which constitutes the theoretical framework for the analysis, as well as “deep interviews” with citizens, which was protesting against the FIFA World Cup, that was analyzed through an interpretative approach, the phenomenography, based mainly on “International business, corruption and bribery” topic to develop a cross line framework.

The chapter provides an analytical framework to reinforce the growing practice of social control that can improve the public management model in Brazil through the development of the societal administration (substantive rationality); presenting that to the extent that the Brazilian government organizational model was not intended to “interact” with society, it has contributed to generate an unsatisfied demand for democracy in Brazilian citizens, whom support the United Nations Global Compact initiative and do not support the current model of the Executive Branch.

Given the recent smart mobs in Brazil and the lack of clear analytical axes for the orientation of research in organizational studies regarding the Brazilian public administration, as well as fragmentation in their respective academic production, it is hoped that these theoretical reflections and empirical results can contribute to promote academic progress for the Public Management in Brazil, as well as for the Corporate Citizenship all over the world.

The chapter introduces a general reflection on the relations between these study objects, in order to foster new research. It is expected that this work will help to increase the debate about the importance of the Brazilian public management, in particular, but the international public administration too (mainly the United Nations [UN] members states), to include substantive rationality for managers, so they can better understand and respond more effectively to the needs of citizens, companies, and organizations.

This study analyzes the competencies toward sustainability in hotel facilities in order to identify the level of implementation of sustainability practices, as well as individual competencies for sustainability in the hospitality companies.

Interviews and a survey with hotel employees were conducted in two important touristic Brazilian cities, Florianopolis, and Rio de Janeiro, considering the TBL (triple bottom line) dimensions. The data were analyzed with content analysis and descriptive statistics and conjoint analysis.

Preventive competencies in the companies' management were identified. The research also revealed that competencies for sustainability are fairly present in the hospitality context yet, which demonstrates the urgency to discuss the theme in both academic and business practices.

The access to the hotel managers impaired the performing of a robust statistical analysis; the study provided new insights about the topics investigated and generated information for the theoretical framework about competencies for sustainability.

The research results emphasized the need for the hotel industry to invest in sustainable strategies to meet its target audience, but also to raise the level of its staff and reduce costs in the long term, offering benefits to society, the environment, and, to their businesses.

The research socially contributes through promoting discussion on sustainability, which is one of the most challenging and relevant issues for society. Besides, it can assist the diffusion of the competencies for sustainability in the hotel industry, as an attempt to decrease their negative externalities on the environment and primary audiences.

It was identified a distance between practice and the triple bottom line concept, which is linked only to environmental practices. Besides, it was found limited knowledge about the concepts of competencies in the companies.

The evolving digital transformations of organizational processes involve vast complexities. Factors such as labor resources at the individual and team levels that integrate and utilize information resources and evolving technologies to achieve collective intelligence are essential to this process. In order to better understand evolving demands of labor resources, existing research regarding worker/technology interactions for firm performance must be implemented and adapted to the changing market. This paper provides a conceptual research model enabling organizations to better understand the integration of worker/team attributes with collaboration modes, information resources and augmented technologies that yield effective collective intelligence for decision-making.

This manuscript includes a literature review on worker/team attributes interfacing with various technology platforms and the creation of collective intelligence. It then reviews complementary research including leadership elements for organizational outcomes and introduces more current work involving a digital transformation. The literature review provides the underpinnings for a conceptual model that incorporates essential elements for the creation of collective intelligence for decision-making and adds factors that are relevant for digital transformations. These elements include augmented technologies including cognitive technologies, collaborative platforms and worker attributes (skills, social sensitivity, leadership) all of which illustrate components of intellectual capital.

The paper summarizes key findings of existing research in worker/team interactions with technology platforms on organizational performance and provides an applied, conceptual research model incorporating these findings, along with new elements in the digital era for better identifying new worker requirements.

The value of this work is the introduction of an applied conceptual model based on established literature findings that includes new technologies (e.g. cognitive technologies), collaboration modes and worker/team attributes to address the requirements of the evolving knowledge worker in the digital era. It provides a framework to better understand more optimal resource allocations for the creation of collective intelligence and integrates the model components within an intellectual capital framework.