Recognizing the importance of competition analysis in telecommunications markets is essential to improve conditions for users and companies. Several indices in the literature assess competition in these markets, mainly through company concentration. Artificial Intelligence (AI) emerges as an effective solution to process large volumes of data and manually detect patterns that are difficult to identify. This article presents an AI model based on the LINDA indicator to predict whether oligopolies exist. The objective is to offer a valuable tool for analysts and professionals in the sector. The model uses the traffic produced, the reported revenues, and the number of users as input variables. As output parameters of the model, the LINDA index is obtained according to the information reported by the operators, the prediction using Long-Short Term Memory (LSTM) for the input variables, and finally, the prediction of the LINDA index according to the prediction obtained by the LSTM model. The obtained Mean Absolute Percentage Error (MAPE) levels indicate that the proposed strategy can be an effective tool for forecasting the dynamic fluctuations of the communications market.

This article measures the performance of listed commercial banks in Vietnam and identifies factors influencing their efficiency. The study follows a two-stage approach: (i) In the first stage, scale efficiency scores from 2016 to 2022 are assessed using the Data Envelopment Analysis (DEA) method; (ii) In the second stage, Tobit regression analyzes internal factors, macroeconomic conditions, and the impact of Covid-19. Key findings show that internal factors such as return on assets positively affect efficiency, while the ratio of equity to total capital has a negative and statistically significant impact. Bank size positively influences efficiency scores. Macroeconomic factors, including economic growth and inflation, were statistically insignificant. However, the Covid-19 pandemic had a significant negative effect on bank efficiency.

Through the combination of the geographic information systems (GIS) and the integrated information model, the stability of regional bank slope was comprehensively evaluated. First, a regional bank slope stability evaluation index system was established through studying seven selected factors (slope grade, slope direction, mountain shadow, elevation, stratigraphic lithology, geological structure and river action) that have an impact on the stability of the slope. Then, each factor was rasterized by GIS. According to the integrated information model, the evaluation index distribution map based on rasterized factors was obtained to evaluate the stability of the regional bank slope. Through the analysis of an actual project, it was concluded that the geological structure and stratigraphic lithology have a significant impact on the evaluation results. Most of the research areas were in the relatively low stable areas. The low and the relatively low stable areas accounted for 15.2% and 51.5% of the total study area respectively. The accuracy of slope evaluation results in the study area reached 95.41%.

Military leadership is currently an extremely popular and important aspect of managing human resources in difficult, changeable, and unpredictable conditions. The solutions used in modernly managed, well-organized, subsidized, and ethically militarized systems become a point of reference and a model for organizations that encounter perturbations in the management of the organization’s human resources. The most important of them are certainly the sense of trust of subordinates in their superiors and the leaders’ responsibility for the level of staff development. The aim of the research undertaken was to verify the thesis that can be formulated in this affirmative sentence: “A modern commander should be honorable, self-confident, and have the ability to influence his subordinates and shape friendly interpersonal contacts in the group he reports.” The literature search in the field of leadership and questionnaire research were aimed at answering the main research question: “What mental properties and behavioural features should characterize a responsible leader in military organizations?”. The work uses the diagnostic survey method, and the interview was conducted using a multi-factor survey questionnaire on a 30-person study group consisting of professional soldiers aged 25–40. The adopted age range of the study group corresponds to the period of active military service, from the age of graduation to the year of termination of active military service. The Multifactor Leadership Questionnaire is composed of two scales, creating a total of 37 randomly ordered statements in the form of single-choice questions. To analyze the distribution of answers, ranks were used to assess the degree of their compliance with the respondents’ beliefs. Based on the conclusions from the conducted research, we have grounds to believe that professional soldiers expect their leader to be helpful to their subordinates and to ensure that the soldiers are motivated to act and perform their tasks. An important behavior that is expected from the commander is the desire to have a common mission in achieving the goal. Based on the research results, it was found that an undesirable feature is the inconsistency of commanders when pointing out the mistakes of their subordinates, who do not devote interest and time to learning how to avoid mistakes and to improve the competence of their subordinates.