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The impact of dependence on self-care on people’s lives is very significant, with consequences for the person and their caregivers. The purpose of this study is to map the evidence on the factors that influence the empowerment of the person dependent on self-care on returning home.

Scoping review according to the criteria proposed by the Joanna Briggs Institute: population (people with a dependence on self-care), concept (factors that influence training) and context (return home after hospitalization in a medical-surgical context). The research was carried out from March 1 to April 30, 2022, in the databases CINAHL and MEDLINE (via EBSCO), Scielo, LILACS, Cuiden and MedicLatina; Gray literature searched RCAAP, DART-Europe and OpenGrey. Studies published in Portuguese, Spanish and English were included, with no time limit.

One hundred and eighty-one articles were obtained, which, after analysis according to the criteria, resulted in seven studies included for review, ranging from 2007 to 2021, with a level of evidence between 2. c and 4. a (according to Joanna Briggs Institute), and two thematic areas/four categories emerging.

The need for information and training, the relationship and proximity with the health-care team, the design of nursing care targeted at the person’s level of dependence, education, gender, type of surgical intervention and postoperative period, physical space and lack of privacy and audiovisual media.

The perception of these factors proves to be important in the person’s training process, with the nurse’s role being highlighted due to their emphasis on the transition home.

The purpose of this paper is to propose a predictive model that could replace lawyers’ annual performance rankings and inform talent management (TM) in law firms.

Eight years of performance rankings of a sample of 140 lawyers from one law firm are used. Artificial neural networks (ANNs) are used to model and simulate performance rankings over time. Multivariate regression analysis is used to compare with the non-linear networks.

With a lag of one year, performance ranking changes are predicted by the networks with an accuracy of 71 percent, over performing regression analysis by 15 percent. With a lag of two years, accuracy is reduced by 4 percent.

This study contributes to the literature of TM in law firms and to predictive research. Generalizability would require replication with broader samples.

Neural networks enable extended intervals for performance rankings. Reducing the time and effort spent benefits partners and lawyers alike, who can instead devote time to in-depth feedback. Strategic planning, early identification of the most talented and avenues for tailored careers become open.

This study pioneers the use of ANNs in law firm TM. The method surpasses traditional static study of performance through its use of non-linear simulation and prediction modeling.

This study assesses the effects of junior enterprises (JEs) on the entrepreneurial attitudes and intentions of engineering higher education students, compared to a group of social sciences students.

This research analyses a sample of 132 students enrolled in engineering higher education courses in Portugal and Brazil, while 83 of the respondents being involved in a JE and 49 not. The authors compare this group to another group of 176 social sciences students from several higher education courses, while 93 being enrolled in JE and 83 not.

The results show that students enrolled in JEs show higher levels of entrepreneurial intention (EI), as well as their antecedents such as attitude towards the behaviour (ATB), perceived behavioural control (PBC) and social norms (SN) , and the impact of this extracurricular activity is higher on engineering students than on social sciences students. Also, country and gender differences were found in some variables.

Further studies are needed to confirm the results in a broader population and in other countries. Also, the study addressed attitudes and intentions but not actual behaviour due to the time lag problem. There is also the risk of self-reported bias on the answers due to social desirability bias, for example. Finally, because JEs have their own recruitment process, there is a possible “self-selection problem” of students who might have previously developed some of entrepreneurial attitudes and skills assessed by the questionnaire.

The results have important implications for engineering higher education institutions. Despite many of them provide entrepreneurship training courses, they should also encourage students to join extracurricular activities or even create their own at their institution to complement their skills' development. Also, teachers should be encouraged to integrate these activities into their subjects, avoiding a major barrier to the participation in extracurricular activities which is the students' time constraints. Finally, participation in extracurricular activities can be promoted by institutions in many ways, such as allowing students to obtain academic credits or through supporting financially or logistically the organisations that promote these activities.

This study contributes to the discussion on how to promote the development of entrepreneurial competences in young people that soon will enter the labour market.

This study contributes to the discussions on the value of extracurricular activities, such as the enrolment in JEs, to the development of entrepreneurial attitudes and intention on the training of the next generation of engineers capable of facing future worlds' challenges.

This study aims to identify how the sustainability of Brazilian Federal Institutes of Education, Science and Technology is implemented.

The research is descriptive and quantitative, and questionnaires were used to collect data, which were applied to the campuses and deans of the 38 IFs. The sample selection resulted from a sampling calculation for a finite population, which considered the five Brazilian regions, reaching 248 respondents. To analyze the collected data, descriptive statistics were used to demonstrate the mean, standard deviation (σ) and coefficient of variation of each of the seven axes of the questionnaire and also of the axes and regions jointly; and the sustainability indicator was defined.

A majority of the analyzed FIs were considered to be medium or highly sustainable. The classifications achieved by the FIs demonstrate that sustainability practices are reasonably present in a significant number of campi and Principals’ Offices.

This study contributes by creating a data collection instrument to measure the sustainability practice, not only in educational institutions but also in any type of institution; and the sustainability indicators created, which make it possible to classify organs and entities in accordance with sustainable initiatives implemented by them.

This study’s authors can highlight the mapping of sustainability implementation in the Brazilian Federal Institutes analyzed, which, owing to the sample used, allows for the verification of similarities and differences in these practices between the five Brazilian regions, in addition to making comparisons possible.

A literature review was conducted in order to establish a detailed definition of a knowledge-intensive process (KiP). Moreover, relevant theories from humanities – especially the fields of linguistics and philosophy – were thoroughly researched and adapted for establishing descriptive and analytical foundations for the phenomena involved. Finally, a cognitive business process management (BPM) theory was proposed in order to assess how sufficient are its respective explanatory and predictive powers. This study aims to discuss the aforementioned objective.

This study proposes a novel theory for KiPs that describe the process flow based on the participants' interactions and their beliefs, desires and intentions as the main drivers of the process enactment and execution.

The proposal puts forth a comprehensive definition of a KiP, depicting knowledge intensity, participant interaction and decision-making. The inner dynamics of each of these two elements (as well as other associated elements) are described as an information systems (IS) theory that enables the study of KiPs in detail, going beyond the typical techniques of the BPM field and common obstacles.

A theory proposal for KiP that applies concepts from speech act theory and intentional states as the main drivers for understanding the process dynamics are, to the best of the authors' knowledge, not present at the literature. Being an original proposal, the real-world scenario discussed brings up the explanatory and predictive powers of the theory as well as its innovative value for research in the field.

The purpose of this paper is to present a new hybrid approach based on criticality analysis and optimisation to deal with spare parts inventory management in the initial provisioning phase in the mining industry. Spare parts represent a significant part of mining companies' expenditures, so it is important to develop new approaches to reduce the total inventory value of these items.

This hybrid approach combines qualitative and quantitative methods based on VED (vital, essential and desirable) analysis, analytical hierarchical process (AHP), and e-constraint optimisation method to obtain the spare parts to be stocked. The study was applied to a large mining company. The mineral sector was chosen due to the great importance to the emerging Brazilian economy and the lack of researches in this sector. In addition, the spare parts have a relevant weight on the total inventory cost.

Present a novel approach combining multi-objective optimisation and multi-criteria evaluation approaches to tackle the inventory decision in spare parts management. This work also defines and classifies relevant criteria for spare parts management in the mineral sector validated by specialists. The proposed approach achieves an average increase of 20.2% in the criticality and 16.6% in the number of items to be stocked compared to the historical data of the surveyed company.

This paper applies the proposed approach to a mining company in Brazil. Future research in other companies or regions should analyse the adequacy of the criticality criteria, hierarchy and weights adopted in this paper.

The proposed approach is useful for mining industries that deal with a large variety of resource constraints as it helps in formulating appropriate spare part strategies to rationalise financial resources at both tactical and strategic levels.

The paper presents a new hybrid method combining the AHP a multi-criteria decision making (MCDM) approach coupled with e-constraint optimisation to deal with spare parts inventory management allowing for a better spare parts inventory analysis in the initial provisioning phase and providing managers with a systematic tool to analyse the trade-off between spare parts criticality and total inventory value.

This research explores the paradigm of coopetition and the different theories that contribute to its evolution. The variation of cooperation and competition in a relationship depends on the resource flows identified in the literature. However, this research focusses on coopetition behaviours in the business world. Coopetition, simultaneous collaboration, and competition between firms, has emerged as a pivotal factor influencing organisational success in today's dynamic business environment. Based on game theory, the different types of competitive relationships between adversaries will also be presented in this chapter, where the interdependencies between the players and their choices to co-operate or compete are explored. Another perspective presented is how companies use game theory to achieve gains in both zero-sum and non-zero-sum games by changing the players, the perceptions of risk, the associated returns, and the rules and scope of the game. This chapter also will show the prisoner's dilemma applied to business practices. Finally, we present the ‘tit-for-tat’ theory of strategy. The conclusion underscores the need for organisations to navigate a delicate balance between collaboration and competition to thrive in a complex and interconnected tourism global marketplace.

The purpose of this paper is to propose a new approach to talent management that consists of averaging performance appraisal and assessment center ratings for in-depth identification of lawyers’ talents.

The approach’s adjustment was examined using a 61 senior-lawyer sample from a Portuguese law firm. Comparisons between assessment center and performance appraisal ratings were analyzed using paired-sample t-tests and a kernel density function, and predictive validity was assessed with Pearson correlations. Evidence of both a general performance factor and two additional factors was verified using principal component analysis. Varimax rotation was used to verify three broad factors with job profile’s three broad areas.

Results suggest support for the assessment center’s predictive validity. Its lower and more variable ratings overcome performance appraisal rating bias. Adjustment of the new approach to lawyers’ overall talent identification (the general factor) and each lawyer’s relative talents (three broad factors) was observed.

This study contributes to the body of knowledge regarding the substantive existence of a general performance factor, and adds to empirical research concerning talent management, which is lacking. However, generalizability requires broader samples and replication.

The approach is a methodology that informs career management, high-flyers’ identification, talent mapping, development, succession planning, team composition, and diversity analysis. For lawyers, objective feedback allows benchmarking talent and managing one’s career.

This study pioneers empirical research that develops methods for identifying talent in law firms, vital for firm sustainability.

The purpose of this paper is to analyze the dynamics of the triple helix model in less favoured regions, examining the role of three spheres: universities, firms, and government. The paper identifies profiles of behavior in terms of triple helix model performance from the firm's perspective and recognizes key factors for successful innovation dynamics in a less favored region of Portugal.

A brief bibliographic revision regarding development of the triple helix model in the innovation process is followed by a description of the role of the helixes and the presentation of a model, after which the hypotheses are defined for testing. The methodology consists of a survey involving companies in a less favored region of Portugal and the application of multivariate statistical analysis “k‐means clusters” to detect behavioral patterns in terms of performance and dynamics of the triple helix model from the firm's viewpoint. In order to verify the hypotheses, tests of multiple average differences are used to assess the unique characteristics of each cluster and the independent test of Chi‐square.

The results point to the existence of a positive relationship between the dynamics of the triple helix model in terms of different types and objectives to innovate, namely, in regards to introducing new products as well as ecological innovation and their efforts to improve communications relative to the obstacles to innovate – explicitly, the lack of information and geographical location, the companies' innovation performance, and the level of cooperation and interaction with the university producing benefits for them in obtaining additional financial resources and prestige for the researcher, as well as by obtaining information for the education process.

The paper contributes to a greater theoretical understanding of the variables influencing implementation of the triple helix model in less favoured regions. It reveals conditions associated with a more active and proactive stance and consequently better innovation dynamics and regional attractiveness.

This paper aims to determine whether the implementation of knowledge management (KM) is linked to e‐business performance and to identify the nature of the relationship existing in the different components of knowledge‐sharing and application and internet‐based KM.

This paper establishes a new model of the practices and results of the KM which has been tested in European companies. For that purpose, a structural equation modelling analysis was used.

The results show that product innovation and external employees’ access to databases have a strong positive effect on the maximization of internet‐based KM and that internet‐based KM has also a positive impact on e‐business performance.

Limitations of this study include the need for more research into the KM cycle. This paper contributes to the research on this topic with new evidence in a broad sample.

These results point to KM's usefulness in improving every day e‐business processes. Therefore managers should be aware of these benefits.

The present study advances knowledge on the nature of the relative importance of different components of internet‐based KM as drivers of e‐business performance.