Social, economic and environmental factors contribute to the companies’ sustainable development. Social and financial dimensions have an important contribution to sustainable performance, through assurance of transparency in the information communication requested by stakeholders in order to substantiate their decisions. Social transparency is ensured by presenting organization’s actions in the field of social responsibility, and financial transparency takes into account the most accurate, complete and neutral presentation of information, both in the annual financial statements and in the audit reports. The present study aims to assess the influence of financial transparency and gender equality on the sustainable corporate performance, thus contributing to increasing SDGs awareness and achievement required by 2030 Agenda. Through a sample of 1133 observations (Romanian listed companies/years) to the period 2008–2020, the obtained research results emphasis that gender equality and absence/presence of transparency in financial reporting have a significant influence on corporate sustainable performance.

The study of organizational behaviour is essential for human resource managers to improve organizational efficiency, aiming to create a conducive working environment to stimulate employee engagement within the organization. By understanding the factors influencing behaviour in organizations, more effective strategies can be implemented for managing people and resources. The current research statistically models a system of individual-centred organizational behaviour [OB] in relation to influencing variables - online [MOn] and hybrid [MOh] relational environments. The systemic variable [OB] is analyzed from the perspective of three dimensions - the individual's relationship with the group they belong to [group-focused behaviour], the individual's relationship with themselves [individual-focused behaviour], and the relationship between the individual and the tasks they have to solve [task-focused behaviour]. This system is statistically modelled through the analysis of influencing factors in online and offline relationships. The current research includes an analysis of statistical modelling applied to two heterogeneous groups of students and the comparison of regression models on the two systems [OB]-[MOn] and [OB]-[MOh]. The research methodology includes the presentation of statistical data, formulation of working hypotheses, questionnaire component, application to the two groups of respondents, creation of systemic variables, analysis of variable distributions, correlational analysis, application of statistical regression, and formulation of conclusions and observations. The limitations of the research, the applicability and versatility of its methodology, and future research directions in this field are highlighted in the conclusion of the work.

The assessment of the link between the information system or the informational system, as some authors call it, refers to the information system, and the environmental dimension within the organization or, better said, environmental sustainability, which answers, through excellence, the question of how we propose to study this connection or interdependence between the information system and the environmental sustainability dimension. To proceed to an in-depth study of the link between the information system and a dimension of sustainability, we proposed to expand the search parameters to the following fields of reference in terms of sustainability: environmental sustainability along its component dimensions and information system along its component dimensions. By its purpose, the article tests a methodological framework developed to evaluate informational systems and environmental sustainability Соnsidеring thе novelty оf thе еnvirоnmеntal issuе, thе aсtiоn rеsеarсh apprоaсh соuld bе transfоrmеd intо a tооl tо hеlp prоvidе pоssiblе thеоrеtiсal and praсtiсal sоlutiоns fоr thе businеss еnvirоnmеnt in tеrms оf thе infоrmatiоn systеm.

In the current medical, social, and technological context, where cardiovascular diseases have a high incidence in mortality statistics, dynamic social life, and rapid technological advancements, computerized systems for monitoring personal health parameters, independent of the medical system, are in great demand. The current research aims to design a prototype of a computerized system for monitoring cardiac activity (ECG and PPG) and improve it through functional optimization using an incremental innovation method based on value engineering applied to the product. This paper presents the stages of physical prototyping, device design based on its primary functions, functional optimization through balancing the cost-effectiveness ratio for each function, selecting device redesign solutions, and implementing them in the final product. The novelty of this research lies in the physical realization of a cardiac activity monitoring prototype and the application of an incremental innovation methodology and device redesign. The research falls within the technical field -through the development of the ECG-PPG prototype - and the economic field -through the application of functional analysis to improve this device.

Emotional intelligence involves the ability to have an adaptive, flexible response in different contexts of the communication process. The paper presents a model about the influences of emotional intelligence in verbal communication contexts with the main objectives to identify and evaluate the possible differences between two groups (M/F) and to create a qualitative and quantitative pattern for Emotional Intelligence in formal groups. The authors used the questionnaire of H. A. Robbins as an instrument to evaluate the ability to efficiently communicate in an oral situation and the emotional intelligence questionnaire of David Whetten and Kim Cameron – which includes four dimensions: Emotional Awareness, Emotional Control (Balance), Emotional Diagnosis (Empathy), Emotional Response. For experimental research, the authors used statistical methods – analysis of the internal consistency of questionnaire scales, series normality tests, media equality tests on samples from independent populations, correlation tests and statistical regression models to reach relevant conclusions. The necessity of the research comes from the importance of Emotional Intelligence in the individual and group communication process and as part of a better understanding of the influence at the verbal level.

This paper presents a novel methodological framework designed to quantitatively assess the thematic overlap among three key fields—ecology, maintenance, and sustainability—through automated analysis of research articles. The central research question is: To what extent is it possible for a neural network to accurately quantify the amount of thematic overlap between these disciplines? To address this question, a representative sample of 20 research articles was collected, with an equal number for each discipline. The documents were preprocessed by converting the text to lower case, removing extraneous characters, and tokenizing into segments. The most important features were then selected using keyword frequency analysis and dimensionality reduction of data, thus keeping important linguistic patterns without relying solely on manually compiled keyword lists. These numerical representations were used as inputs to a feedforward neural network implemented in MATLAB. The net, with two hidden layers (using the tangent sigmoid activation function) and a linear output layer for the three domains, produces probability scores indicating the extent to which ecology, maintenance, and sustainability characteristics are exhibited by each article. Theme overlap is quantitatively measured by the so-obtained probabilities, revealing strong as well as subtle interrelations between the disciplines. A baseline comparison to standard classification techniques is given. In general, this system offers a replicable model of interdisciplinarity text analysis and suggests productive directions for future research and applied work.