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The purpose of this paper is to investigate the extent to which the organizational commitment and job satisfaction influence intent to turnover.

Following a quantitative approach regarding methodological aspects of this research, a case study was carried out in a company of information technology and communication located in Porto Digital, in the Northeast of Brazil. A data collection technique with 172 forms, a self-administered form with 18 closed questions with a Likert-type scale and an open questionnaire were used. In this analysis, Statistical Package for the Social Sciences (SPSS) software was used as the technique; besides the descriptive statistics, a correlation was made between dependent variables (intention of rotation) and independent variables (affective, normative, instrumental and work satisfaction). The level of organizational commitment in its three dimensions (affective, normative and instrumental), the job satisfaction in its five dimensions (satisfaction with nature of the task, with leadership, with colleagues, with salary and promotions) and the level of intent to turnover from the respondents were investigated.

The results suggest that affective and normative commitments and satisfaction with pay, satisfaction with promotions and satisfaction with the nature of the work are correlated with the intention of negative turnover significantly. Among the demographic factors, only the age showed a negative correlation with intent to turnover. By performing multiple regression analysis, we identified that the variables that most impacted the turnover intention are affective commitment, satisfaction with salary and normative commitment. The qualitative portion of this study was accomplished through a content analysis of the open question of the form. Finally, one of the main considerations is the findings that revealed variables other than those adopted in the study, which influence the permanence of the respondents.

Among the limitations of the research a single case study is highlighted that replicates the experience in other ICT companies to verify if the results found are similar in other organizations and in other segments. The findings direct the construction and validation of new scales, the creation of qualitative protocols to identify the variables that influence the retention of a specific group of individuals to serve as a guide for the elaboration of a questionnaire, as well as creation of surveys of longitudinal nature to correlate the data of intention of rotation with the effective turnover.

Based on the results, organizations can reduce voluntary evasion by adjusting actions, policies and practices, directing those responsible for People Management to attract and retain good employees. It should be emphasized that voluntary turnover should be treated as one of the management indicators of greater relevance by organizations, representing a thermometer of all human capital management.

The monitoring of employment and unemployment levels is part of the public policy agenda for generating employment and income in Brazil. For organizations, employee turnover can and should be managed and monitored so that appropriate levels are found and their consequences are minimized through effective solutions. The results are important both for technology-based organizations and for all stakeholders interested in the subject as the public power.

Although in the international literature turnover is a topic of study for many years, in the Brazilian context, there is a shortage of research on the subject, specifically in the sector of advanced technology where there is a great lack of skilled labor, a fierce competition and where to keep employees standard high becomes a survival factor. This study may contribute to the exploration in the local literature, as it will help locate the academy on the Brazilian reality and open the doors to new research works on turnover and its possible correlations with other variables besides organizational commitment and job satisfaction.

This chapter delves into the significant role Higher Education Institutions (HEIs) play in advancing the Sustainable Development Goals (SDGs) aim of strengthening and refocusing institutional efforts toward the 2030 Agenda and beyond. Acknowledging the limited progress made toward the 2030 Agenda, the chapter discusses the extent to which universities are meeting their social and ethical responsibilities in fostering sustainable development and human rights. Through an examination of the relationship between universities and the SDGs (including criticism of their role in reinforcing urban inequalities), the chapter articulates a vision for HEIs to embrace transformative partnerships, interdisciplinary approaches, and community engagement to rebuild public trust and reinforce their place as pivotal actors in driving social and economic progress. Three essential tasks for HEIs are identified: fostering SDG synergies, establishing trust and collaboration with local communities, and advancing a data-informed progress assessment that provides a roadmap for how to use the SDGs to further new agendas.

Focusing on the Brazilian equity mutual fund industry, this study analyzes whether including the investor sentiment index in asset pricing models is important for explaining fund alpha.

The investor sentiment index and risk factors in the Fama and French (1993) and Carhart (1997) models were estimated, the risk-adjusted performance of a sample of equity mutual funds in Brazil was evaluated, and a United States (US) sample was included for a complementary perspective. The sample period spans 2010–2019 for Brazil and 2010–2018 for the US.

The results contrasted with those evidenced in the US, where the sentiment index was an important factor in explaining the probability of alpha occurrence, especially in the case of winner funds, defined as those exhibiting a positive and statistically significant alpha at the 5% level. Overall, the findings suggest that, in the Brazilian market, pricing models incorporating investor sentiment as an additional factor fail to adequately capture the outperformance probability of equity mutual funds. These results suggest that the factors influencing fund performance may differ between the two countries and highlight the relevance of developing more suitable investor sentiment indicators for emerging markets.

This study examines the impact of the sentiment index on the performance of equity mutual funds in Brazil, specifically its influence on alpha generation.

The purpose of this study is to understand the effect of governance structure alignment, property rights protection, and reputation in generating efficiency in dairy agro-industrial system in Paraná, Brazil, and Midi-Pyrénées, France.

Descriptive qualitative research, comprising semi-structured interviews with producers, processors and key agents of the dairy agrindustrial system in Brazil and France, in 2016/2017.

As a result, it was identified that measurement generates information about transacted dimensions and when it is shared can generate affect reputation in transactions that leads to system improvement. It was also observed that, in the dairy agro-industrial system, reputation acquired does not reduce all the measurement costs, as the product requires measurement in each all collection, regardless of the reputation created.

As a limitation of the study, there is a difference in the moments when the interviews were done. In 2016, in France, the context was low prices, while in 2017, in Brazil, there was a rise in prices. This difference could have influenced some responses to the interviews, mainly about efficiency by producers.

Reputation, protecion of property rights by measurement and information sharing allows reduction costs (transaction, measurement and negotiation costs). This efficiency implies improvement to the system, in cases of milk producers and processors.

Improvements in the dairy system can have repercussions on several other improvements such as better distribution of income among agents in the chain; better-paid producers, which implies the improving quality of lives of these people; better products offered to consumers.

From a complementary perspective of transaction cost economics and measurement cost economics, reputation and protection of property rights are discussed with a focus on efficiency. Empirically, the paper contains heterogeneous data collected from two countries: Brasil and France.

The purpose of this study was to create an air movement operations planning model to rapidly generate air mission request (AMR) assignment and routing courses of action (COA) in order to minimize unsupported AMRs, aircraft utilization and routing cost.

In this paper, the US Army Aviation air movement operations planning problem is modeled as a mixed integer linear program (MILP) as an extension of the dial-a-ride problem (DARP). The paper also introduces a heuristic as an extension of a single-vehicle DARP demand insertion algorithm to generate feasible solutions in a tactically useful time period.

The MILP model generates optimal solutions for small problems (low numbers of AMRs and small helicopter fleets). The heuristic generates near-optimal feasible solutions for problems of various sizes (up to 100 AMRs and 10 helicopter team fleet size) in near real time.

Due to the inability of the MILP to produce optimal solutions for mid- and large-sized problems, this research is limited in commenting on the heuristic solution quality beyond the numerical experimentation. Additionally, the authors make several simplifying assumptions to generalize the average performance and capabilities of aircraft throughout a flight.

This research is the first to solve the US Army Aviation air movement operations planning problem via a single formulation that incorporates multiple refuel nodes, minimization of unsupported demand by priority level, demand time windows, aircraft team utilization penalties, aircraft team time windows and maximum duration and passenger ride time limits.

The purpose of this paper is to improve the air movement operations planning heuristic in the literature to generate better solutions in a shorter time period.

Through a rigorous design of experiments (DOEs), we make significant heuristic improvements by evaluating alternative modular methodologies and tuning heuristic parameters for two scenarios. This includes a new approach to considering refueling operations.

We find the fine-tuned heuristic averages a 33% objective improvement and 70% reduction in computation time over the heuristic with original parameters for one of the scenarios. Additionally, we analyze the heuristic's quality of solution over time.

Further analysis is required to generalize heuristic settings, which would require significant access to operational data or a portfolio of scenarios of interest.

Tuned heuristic parameters reduce the computation time from hours to minutes. This also makes it practically feasible to adjust parameters in the objective function to generate multiple courses of action (COAs) for a given instance.

This research provides novel vehicle assignment and routing heuristic improvement alternatives and demonstrates a DOEs-based heuristic tuning procedure.