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The purpose of this paper is to identify the determining factors in the performance of integrated vocational education schools, in addition to management characteristics and specificities.

By means of a descriptive study with a qualitative approach, a case study was conducted in two schools located in the cities of Cotia and São Roque.

The following factors were identified: engagement and commitment of teachers; motivation and focus of teachers and students; team of professionals; commitment and focus of students; family involvement; leadership and climate and selection of students. The following characteristics were observed: participative leadership associated with the use of management tools; pedagogical leadership in partnership with the school community; monitoring of student performance; performance assessment and training of teachers related to career plan; selection of students and actions along the community.

The results reflect the vision of the schools' managers and teachers and not that of the managing institution. There is no intention whatsoever to obtain generalization to other ETECs but rather inferences that could shed light on future studies.

This research ratifies what has already been proven in the literature, showing that there are no isolated factors that interfere with performance, but an interrelationship among them, given the characteristics and peculiarities of each school.

This study is expected to contribute to guiding school managers and teachers in the search for quality education, whether vocational or regular basic education.

Although credit unions are nonprofit organizations, their objectives depend on the efficient management of their resources and credit risk aligned with the principles of the cooperative doctrine. This paper aims to propose the combined use of credit scoring and profit scoring to increase the effectiveness of the loan-granting process in credit unions.

This sample is composed by the data of personal loans transactions of a Brazilian credit union.

The analysis reveals that the use of statistical methods improves significantly the predictability of default when compared to the use of subjective techniques and the superiority of the random forests model in estimating credit scoring and profit scoring when compared to logit and ordinary least squares method (OLS) regression. The study also illustrates how both analyses can be used jointly for more effective decision-making.

Replacing subjective analysis with objective credit analysis using deterministic models will benefit Brazilian credit unions. The credit decision will be based on the input variables and on clear criteria, turning the decision-making process impartial. The joint use of credit scoring and profit scoring allows granting credit for the clients with the highest potential to pay debt obligation and, at the same time, to certify that the transaction profitability meets the goals of the organization: to be sustainable and to provide loans and investment opportunities at attractive rates to members.

The challenges facing 21st-century society are becoming increasingly complex, requiring the development of new citizen competencies. This study aims to validate an educational model focused on developing complex thinking in higher education students. Current educational models lack future-ready competencies, necessitating the emergence of new models to guide future generations toward the common good.

This was an adaptation of the causal-layered analysis (CLA) applied to 415 participants from higher education institutions in Mexico, Panama and Spain. Sessions were designed to present the proposed educational model and explore participants’ perceptions of its significance and contributions to future education.

Key findings include the following: participants perceived complexity as difficult and challenging; causes of problems were linked to outdated educational models requiring replacement by those that develop students’ competencies; participants envisioned changes that would develop individuals capable of understanding and transforming society; and participants recognized the model’s transformative potential, offering a novel proposal for 21st-century education.

This research sought to gather opinions from different stakeholders using the CLA methodology, providing a deep understanding of participants’ perspectives on the proposed solution.

This empirical and exploratory study analyzed the role of interaction with the innovation environment and of the organizational learning capacity (OLC) development stage in startups in Northeast Brazil based on the perception of managers of these companies.

This was a quantitative study. Questionnaires were sent electronically to the managers of startups in the nine states of Northeast Brazil. A total of 54 managers participated, composing a non-probabilistic sample. The data collected were analyzed by multiple linear regressions.

The results obtained seek to evidence whether the interaction of startups in Northeast Brazil with the startup ecosystem and the development stage in which these companies are found are associated with OLC. The results confirmed the hypothesis that higher startup development stages are positively associated with higher levels of OLC in the sample. A negative association was identified between the manufacturing startup type and the OLC level, and the level of interaction with the innovation environment was still infrequent.

This study contributes to the literature on the determinants of organizational learning and to startup managers who wish to more effectively promote this learning. Implications of the findings are discussed.

This study contributes to the literature on the determinants of organizational learning and to startup managers who wish to more effectively promote this learning. Implications of the findings are discussed.

Studies on Brazilian startups are still relatively scarce, especially studies that focus on learning capacity. No other studies addressing the hypotheses tested here were found.

The purpose of this paper is to investigate the contribution of a project management approach to develop a tool to support the management of Brazilian stricto sensu graduate programs (SS-GP). The Adaptive approach was chosen by applying the Project Management Life Cycle (PMLC) method.

The study corresponds to the concept of applied research. The qualitative approach was used. The research strategy was the action research, where participants cooperate to understand their environment, identify problems and seek a solution, simultaneously producing and using the knowledge produced.

The results showed one possible way to apply a contingency project management approach to develop the tool. In addition, indicated that its application facilitated the project work, especially when finding a solution for the project’s development and when dealing with the changes inherent to the uncertainties about the problem.

The lack of more updated information and the limitation of time and resources led to the reduction of the environment scope and of the number of functionalities developed.

To contribute to the generation of knowledge and expertise to support the management of SS-GP in activities such as providing information to the CAPES evaluation system, academic production analysis, collaborative researcher network analysis and post-graduation program monitoring and evaluation.

To fill a gap pointed out by several studies, that it is not possible to automatically generate input lists to be processed by ScriptSucupira tool, based on filtered criteria, comprising the entire universe of the Brazilian SS-PG. The creators of ScriptSucupira also declared to ignore the existence of an artifact similar to that.

Business intelligence (BI) is a combination of computer systems and managerial processes to support decision-making. The balanced scorecard is a kind of business intelligence tool for performance measurement and management control aimed at balancing financial and non-financial as well as short- and long-term measures. The sustainable balanced scorecard is a modification of the original balanced scorecard developed to expressly consider governance, social, environmental and ethical issues, and therefore to allow sustainability concepts to be included within the strategy and the management of the organization. However, although the sustainable balanced scorecard is one of the most suitable tools for integrating sustainability within management, there are few examples of how to develop and implement it which can be used as reference models. To help solve this problem, this paper proposes a methodology for the development of a sustainable balanced scorecard, considering different phases such as planification, analysis, design or computer tool implementation, and describes the findings of three case studies.

The research was conducted using the qualitative multiple-case study method. This made it possible to establish the methodological issues regarding the performance and reporting of this study. Therefore, the research method for the conceptualization and execution of the case studies was divided into seven phases: definition of research goals and questions; proposed theoretical model; identification of units of analysis; case selection; definition of research methods and resources; fieldwork; data collection, classification of information and triangulation; formulation of the enhanced theory, model or methodology; and verification of the rigour and quality of the study.

Paper shows a methodology organized in phases, activities and tasks that allow a sustainable balanced scorecard to be planned, designed, built, computerized and controlled in order to integrate sustainability within the management systems of organizations.

This study contributes to the currently emerging sustainable balanced scorecard literature and practice and, more generally, to research on sustainability measurement and management. The methodology for sustainable balanced scorecard development and implementation showed in this paper contributes to the management and information systems theory because it makes it possible to overcome the shortcomings identified to date: it considers all the sustainability dimensions; it describes all the project life-cycle activities; it encourages stakeholders' participation; and it has been proved to work in real situations.

The purpose of this study is to analyze the robot trends of the next generation.

This paper is divided into two sections: the key modern technology on which Europe's robotics industry has built its foundation is described. Then, the next key megatrends were analyzed.

Artificial intelligence (AI) and robotics are technologies of major importance for the development of humanity. This time is mature for the evolution of industrial and service robots. The perception of robot use has changed from threading to aiding. The cost of mass production of technological devices is decreasing, while a rich set of enabling technologies is under development. Soft mechanisms, 5G and AI have enabled us to address a wide range of new problems. Ethics should guide human behavior in addressing this newly available powerful technology in the right direction.

The paper describes the impact of new technology, such as AI and soft robotics. The world of work must react quickly to these epochal changes to enjoy their full benefits.