Influence of teachers’ emotional intelligence on students’ motivation for academic learning: an empirical study on university students of Bangladesh

Cogent Education, Год журнала: 2024, Номер 11(1)

Опубликована: Март 18, 2024

Excellent teachers produce quality students who resembles their teachers. Teaching is a very challenging and stressful job that create emotional distress for have significant impact on students. Bandura's Social Cognitive Theory of Motivation inspired this study, which focused Emotional Intelligence. This study attempts to measure the influences Bangladeshi teachers' intelligence (EI) students' motivation academic learning. research incorporates Daniel Goleman's five EI dimensions: self-awareness (SA), self-regulation (SR), self-motivation (SM), empathy (EM) social skills (SS). The survey includes 14 private public universities from Bangladesh. A 31-item structured questionnaire was designed collect data (N = 415) respondents using five-point Likert scale, structural equation modeling (PLS-SEM) employed reliability, validity, test hypotheses. Results revealed learning directly influenced by study's findings indicate positively intelligence. Consequently, contributes body knowledge offering implications in higher education.

Язык: Английский

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Emotional intelligence and ethical behaviour in mining executives: the mediating effect of trust-building

Cogent Business & Management, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 16, 2025

Executives in the mining industry are faced with complex ethical challenges involving responsible management of resources, environmental impacts, and community relations. As such, it is crucial to understand develop strategies enhance behaviour industry. However, empirical evidence on among executives this remains limited. This study attempts address research gap by analysing mediating effect trust-building relationship between emotional intelligence executives. Partial least squares structural equation modelling (PLS-SEM) was used a sample 115 at Peru's largest projects, finding that has partial behaviour. Besides adding existing academic literature, results will be useful executives, possibly other extractive industries, focus their efforts enhancing have larger projects. Furthermore, these may help when managing relations different stakeholders, defining implementing concrete reinforce industry, probably paying more attention boosting top middle-managers workplace.

Язык: Английский

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Main factors and causes that are influencing the digital competences of human resources

ADMINISTRATIE SI MANAGEMENT PUBLIC, Год журнала: 2023, Номер 41, С. 26 - 53

Опубликована: Ноя. 28, 2023

The integration of digital technologies in public administration is influenced by the competences human resources. objectives this research are to identify main factors and causes that influence resources’ level find out correlations between factors, causes, competences. survey was conducted within National Agency Civil Servants (NACS) responsible for management civil servants from Romanian administration. 25 variables were selected grouped three categories. instruments used were: SPSS Principal Component Analysis. According results, influencing social extrinsic motivation administrative managerial factors. with a relevant impact on competence development data security privacy risks, dynamic technologies, lack continuity ICT organization activities, excessive bureaucracy. All model have positive correlations. results useful interesting both scholars governmental institutions. them discussed first time specialized literature raising up key elements should be taken into account an efficient transformation

Язык: Английский

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Relational factors play the most important role in the environment of Slovak and Czech SMEs

Cogent Business & Management, Год журнала: 2025, Номер 12(1)

Опубликована: Март 6, 2025

Язык: Английский

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Generative artificial intelligence, present and perspectives in public administration

ADMINISTRATIE SI MANAGEMENT PUBLIC, Год журнала: 2024, Номер 43(43), С. 105 - 119

Опубликована: Дек. 1, 2024

Artificial Intelligence (AI) is playing an increasingly important role in public administration, offering innovative solutions for efficiency and better services. The application of AI administration aims to modernise streamline the services offered citizens. contains advanced algorithms, neural networks, machine learning techniques improve performance over time. Smart responsibly implemented, could help governments enhance service delivery strengthen citizen engagement local, city, regional, national administrations around world. Governments some states have discreetly launched pilot programs test developing applications, demonstrating enthusiasm technology at least as great that private sector. By utilising AI, can automate repetitive processes, optimize resource usage, interaction with public. purpose research show extent scope tools integrated into organisations almost all areas sectors general, state particular. objectives were: analyse dynamics investments tools; discover main be performed using AI; risks; highlight perspective development integration a few European states. based on comparative analysis implementation across fields, components, regions level mainly, but also Romania. period 2021-2030. results continuously increasing trend ever-faster rate assimilation field number from most developed worldwide.

Язык: Английский

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Dynamic Regimes for Corporate Human Capital Development Used Reinforcement Learning Methods

Mathematics, Год журнала: 2023, Номер 11(18), С. 3916 - 3916

Опубликована: Сен. 14, 2023

Corporate human capital is a critical driver of sustainable economic growth, which becoming increasingly important in the changing nature work. Due to expansion various areas activity, employee’s profile becomes multifaceted. Therefore, problem management based on individual trajectories professional development, aimed at increasing labor efficiency and contributing growth corporate operational efficiency, relevant, timely, socially, economically significant. The paper proposes methodology for dynamic regimes development (DRHC) design reinforcement learning methods. DRHC develops an optimal regime as set programs developing employee field, taking into account their characteristics (health quality, major interdisciplinary competencies, motivation, social capital). architecture consists environment—an model—as Markov decision-making process agent—decision-making center company. uses DDQN, SARSA, PRO algorithms maximize agent’s utility function. implementation proposed policy would improve quality capital, increase resource ensure productivity companies.

Язык: Английский

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Exploring the link between motivation and procrastination in the workplace: a case study of SMEs in Slovakia

Journal of Entrepreneurship and Sustainability Issues, Год журнала: 2024, Номер 11(3), С. 163 - 175

Опубликована: Март 20, 2024

This article presents a qualitative study conducted among office workers in small and medium enterprises (SMEs) Slovakia, aimed at enhancing work motivation preventing procrastination.The was with sample size of 253 employees, utilising the Work Engagement Intrinsic Motivation Scale (WEIMS) Procrastination At (PAWS) standardised questionnaires.The objective this research to explore link between procrastination tendencies SMEs identify effective strategies for specific context.The methodology employed allowed in-depth exploration understanding experiences, perceptions, challenges employees face relation procrastination.Based on results, practical recommendations are provided enhance prevent settings within SMEs.This contributes existing body knowledge by providing insights into enhancement prevention specifically tailored context Slovakia.

Язык: Английский

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The Effects of Selected Financial Ratios on Net Profit – The Case of Enterprises of V4 Countries

Acta Polytechnica Hungarica, Год журнала: 2024, Номер 21(8), С. 227 - 242

Опубликована: Янв. 1, 2024

The aim of the research was to assess effects selected financial ratios (such as Current Ratio, Debt Assets Ratio and Gross Profit Margin) on Net Profit.The conducted among big enterprises operating in V4 countries (Czechia, Hungary, Poland Slovak Republic).The also aimed compare economic results companies before during Covid-19 (from 2017Covid-19 2021)).Based best knowledge researchers, no previous had addressed issue pandemic Covid-19.The data 200 were collected with help Orbis database published by Bureau van Dijk.The middle April 2023.The last available from 2021.The did not contain final year 2022.Three hypotheses formulated along nulland alternative hypotheses.Linear regression used for testing.According Margin have significant impact profit.The can be treated a pilot study since more confirmatory examinations are needed.

Язык: Английский

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Generation Z's perception of privacy on social media: Examining the impact of personalized advertising, interpersonal relationships, reference group dynamics, social isolation, and anxiety on self-disclosure willingness

Oeconomia Copernicana, Год журнала: 2024, Номер 15(1), С. 229 - 266

Опубликована: Март 30, 2024

Research background: Consumers frequently exchange personal data for limited benefits from digital services, despite privacy concerns. This enables providers to tailor content and enhance marketing communication, services' effectiveness efficiency. Purpose of the article: Utilizing principles calculus theory, this study aims identify how attitudes towards advertising (ATT), perception credibility (CRE), consumer susceptibility interpersonal (II) reference group influence (RGI), social isolation (SI) anxiety (SA) willingness Generation Z disclose information on media derived concerns (PC) develop a prediction model such behavior. Methods: Data was gathered using an online self-administered questionnaire sample 451 individuals. A non-random convenient sampling technique binary logistic regression were used quantify selected independent variables dispersion values in dependent variable under investigation. Findings & value added: The results highlight that Z's self-disclosure is significantly influenced by toward influence. effect also close required level statistical significance. It means positive high groups probability disclosure. Being one few studies address factors media, stands out its holistic approach. Thus, combining various interconnected elements provides fresh perspective comprehend intricate dynamics relationship with media.

Язык: Английский

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Crisis Management, in Family Enterprises, from a Personnel Management Perspective

Acta Polytechnica Hungarica, Год журнала: 2024, Номер 21(6), С. 285 - 301

Опубликована: Янв. 1, 2024

This study examines the impact of crisis, on family businesses, caused by global financial crisis 2008 and COVID-19 pandemic.The measures economy management businesses is being examined, with a focus preparation implementation related to enterprises during this period.The subject our research was find out what kind personnel were implemented in order mitigate negative situations retaining employees working for businesses.The attention addressed taken COVID-19.The based relevant data empirical surveys above-mentioned crises had entrepreneurial activity these types enterprises.The first phase conducted January-May 2018 (306 responses obtained), while second concluded February-June 2022, where we obtained 289 from software "Statistica" used evaluate results.In addition classical statistical methods, I also applied method categorization, descriptive statistics.Spearmen Cramer's correlation coefficient case ordinal data.The metrics calculated using Pearson's coefficient.The result provided information about economic business.It has become clear introduced measures.Family forced implement changes organization management, remuneration system, work requirements, employment policy, as well employee motivation.Further important findings differences detected examined periods terms degree measured influence enterprises.

Язык: Английский

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