cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
INDONESIA
Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 874 Documents
 83   84   85   86   87 
Job Characteristics, Affective Commitment, and Turnover Intentions: A Dual-Theory Examination of Generation Z Mac, Yen Thi Hai; Tran, Cuong Thi
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-016

Abstract

This study investigates the extent to which core job characteristics—autonomy, task identity, task significance, and skill variety—influence affective commitment and turnover intentions among Generation Z employees in Vietnam. Based on the Job Demands–Resources (JD-R) and Conservation of Resources (COR) theoretical frameworks, the study seeks to elucidate how early-career employees interpret job resources within a collectivist, hierarchical, and resource-constrained environment. A structured quantitative design was employed, drawing on survey data from 312 Gen Z respondents across diverse organizational settings. Measurement validity and reliability were established via Confirmatory Factor Analysis and Cronbach’s Alpha, while hypotheses were tested using Structural Equation Modeling (SEM). Empirical findings reveal that task identity exerts a negative influence on affective commitment, whereas autonomy, task identity, and skill variety are positively associated with turnover intentions. Task significance demonstrates no significant effect on either outcome. Conversely, affective commitment emerges as a strong inverse predictor of turnover intentions, underscoring its role as a stabilizing psychological resource. This research contributes to the existing literature by integrating JD-R and COR theories to challenge the presumed universality of job resource effects. It underscores the contextual sensitivity of job design, particularly for younger cohorts in emerging markets. The findings offer practical implications for designing culturally and generationally responsive retention strategies.
Time-Varying Impacts of Robust Determinants on Greenhouse Gas Emissions: Panel Data Evidence Nguyen, Tho M.; Pankwaen, Kansuda; Pastpipatkul, Pathairat; Saijai, Worrawat
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-010

Abstract

Understanding the key drivers of greenhouse gas (GHG) emissions is crucial for designing effective and adaptable climate policies, particularly given the complex interplay among structural, institutional, and energy-related factors. This study examines the time-varying impacts of key determinants of GHG emissions across 29 countries from 1993 to 2018, with an emphasis on the shadow economy, energy security risks, and geopolitical volatility. The analysis follows a four-step framework: countries are classified using principal component analysis (PCA) and K-means clustering, robust covariates are selected via Bayesian Model Averaging (BMA), and their impacts are estimated with time-varying coefficient panel models. Model robustness is evaluated through grouped cross-validation, confirming the superior performance of the time-varying random effects (tvRE) specification. The results reveal that the shadow economy and energy security risk exert more dynamic and substantial impacts in the Higher-income group, while their effects are comparatively muted in the Lower-income group. Geopolitical risk, however, shows limited explanatory power for emissions in both contexts. This study provides a novel empirical framework for capturing the dynamic influences of emissions drivers and contributes actionable insights toward achieving sustainable development goals.
Unveiling the Power of Intellectual Capital in Driving Financial Performance: A Deep Dive into the IT Sector Dsouza, Suzan; Kallach, Layal; Demiraj, Rezart; Zaidi, Syed Faizan Hussain
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-08

Abstract

This study aims to theoretically and empirically investigate the relationship between intellectual capital (IC) and the financial performance of firms in the U.S. information technology (IT) sector, with a particular focus on Return on Assets (ROA) as a key performance indicator. Data were collected from 345 publicly listed IT companies over the period 2011–2022, yielding 1,792 firm-year observations. The research employed descriptive statistics, correlation matrices, box plot analyses, and multiple regression models to examine the effects of IC and its components, human capital efficiency, structural capital efficiency, and capital employed efficiency on financial outcomes. The analysis revealed that, contrary to conventional expectations and prior literature, IC exhibited a negative and statistically significant association with financial performance, highlighting potential inefficiencies in the utilization of intangible assets within the IT industry. These findings underscore the complexity of translating investments in IC into measurable financial gains, suggesting that firms may be overinvesting or misallocating resources in areas that do not yield immediate profitability. The novelty of this research lies in uncovering an unexpected inverse IC-performance link in a knowledge-intensive sector, thereby offering executives and policymakers new insights into how IC strategies should be re-evaluated and aligned with long-term value creation.
A Model for Enhancing Academic Competence Among Lecturers in Police Training Centers Wiwithkhunakorn, Wiboon; Krivart, Kittachet; Sookhom, Arpaporn; Champeephan, Mahdee; Pathak, Shubham
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-025

Abstract

This research aims to investigate the level and factors of academic competence among lecturers at the Police Training Center, Region 1-9, Royal Thai Police. This research aims to develop and validate a model for enhancing the academic competence of lecturers. This research employed a mixed-methods quantitative and qualitative approach. The data were collected and analyzed using descriptive statistics, mean, percentage, standard deviation, and structural equation model (SEM). The findings include that the lecturers' level of academic competence was high. Factors affecting lecturers' academic competence include personal, organizational, and environmental factors. Development of Academic Competence of Lecturers: 1) Personal Factors. Lecturers should develop expertise in the field they teach, skills in knowledge transfer, research, and data analysis, as well as enhance their ethics and adherence to codes of conduct. 2) Organizational factors. The organization should improve its structure and policies to support effective teaching and learning, develop personnel management systems and incentive measures, provide up-to-date learning materials, and foster networks. Academic cooperation: 3) Factors related to the working environment should include developing infrastructure and facilities, creating a good atmosphere, reducing stress, and promoting teamwork. Confirming that the academic competency development model for teachers at the Police Training Center, Region 1-9.
The Leadership Attributes and Commercial Bank Financial Performance: The Mediating Role of Capital Adequacy Ratio Nguyen, Hien Thu Thi
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-011

Abstract

This paper aims to explore how factors such as age, gender, professional qualifications, and experience of the Chairman of the Board of Directors (COB) and Chief Executive Officer (CEO) influence the financial performance of Vietnamese commercial banks. Data are collected from 28 listed banks in Vietnam from 2013 to 2023. The study employs regression methods including OLS, FEM, REM, and FGLS. To ensure robustness and address potential model limitations, SGMM regression is also utilized. The results indicate that banks led by female COBs and CEOs tend to achieve better financial performance. Additionally, older COBs are associated with lower bank performance. The findings also highlight the significant impact of bank leaders' expertise and educational background on financial performance. To the author's knowledge, this is the first study to analyze the combined effect of bank leadership attributes on the profitability of Vietnamese commercial banks within an emerging economy. It is also among the first to examine the mediating role of the capital adequacy ratio (CAR). The results provide a solid basis for stakeholders to make informed decisions related to the recruitment, appointment, training, and development of bank leaders to enhance financial performance.
Perception of Distance Learning: Results of Surveys of Students and Faculty Temerbulatova, Zhansaya; Kondybayeva, Saltanat; Boluspayev, Shalkar; Kaliyeva, Assem; Salibekova, Perizat
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-024

Abstract

The study aims to evaluate the impact of distance learning on the quality of higher education from the perspectives of students and faculty, focusing on satisfaction, academic performance, and perceptions of digital education. To achieve this, quantitative data were collected through two online surveys of students and faculty from 25 universities across Kazakhstan. Statistical methods, including the Mann–Whitney U Test, ANOVA, Correlation Analysis, Chi-Square Test, and Descriptive Statistics, were applied to test nine hypotheses. The results revealed that graduate students generally perceive distance learning more positively than undergraduates, while both groups identified technical difficulties and reduced personal interaction as the main barriers. A moderate positive correlation was found between student satisfaction and academic performance, indicating that interactive and well-structured online environments enhance learning outcomes. Faculty members reported increased stress and workload, highlighting the need for better institutional support and digital infrastructure. The novelty of this study lies in its comprehensive comparative assessment of both students’ and teachers’ experiences in the context of Kazakhstan’s higher education system, offering valuable practical recommendations for improving hybrid and online learning models and ensuring their long-term effectiveness in post-pandemic conditions.
Structure-Aware Chunking for Complex Tables in Retrieval-Augmented Generation Systems Koay, Xin-Kuang; Ong, Lee-Yeng; Goh, Pey-Yun
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-09

Abstract

Retrieval-Augmented Generation (RAG) is a hybrid method that combines information retrieval with large language models to generate context-aware, factually grounded responses. However, the RAG system relies heavily on well-structured input data to generate accurate and contextually relevant responses. Documents with complex table layouts pose significant challenges, as most chunking strategies are text-centric and often overlook table-rich documents containing multi-column and multi-row structures. Hence, this study proposes a customized structure-aware chunking framework specifically designed for university course documents containing multi-column, multi-row tables with nested headers. The framework employs Camelot for high-fidelity table extraction, followed by customized logic that constructs semantically coherent chunks by preserving academic term, subject name, credit hour, and category. This prevents semantic fragmentation during retrieval. The proposed method is evaluated using the RAGAS framework and compared against several baselines using standard parsing and chunking techniques. Results show that the proposed approach achieves the highest answer accuracy of 0.73 and substantially improves retrieval relevance and contextual precision. These findings demonstrate the framework’s effectiveness in handling structure-dependent academic queries. This study highlights that ensuring both parsing quality and chunking strategy is essential to retain semantic relationships in table-rich documents, offering a practical improvement for RAG systems in structurally complex scenarios.
Debt by Design: Exploring Market Forces Behind Leverage in Two Economies Habibniya, Houshang; Dsouza, Suzan; Tripathy, Naliniprava
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-013

Abstract

Abstract This study investigates the determinants of capital structure by comparing firms listed on two prominent global stock indices: the S&P 500 (United States) and the NSE CNX 500 (India). Specifically, it examines how firm-specific factors—such as liquidity, asset tangibility, and sustainability practices—influence leverage decisions within differing economic and institutional contexts. Drawing on a comprehensive dataset of 3,575 firm-year observations from 406 S&P 500 companies and 4,180 observations from 419 NSE CNX 500 firms between 2011 and 2021, the analysis employs Two-Stage Least Squares (2SLS) regression, the Generalized Method of Moments (GMM), and a series of diagnostic tests addressing heteroskedasticity and model robustness. The empirical results indicate that liquidity, tangibility, and sustainability performance significantly affect firms’ capital structure decisions. Moreover, growth opportunities and profitability also play key roles. Cross-country differences highlight the influence of macroeconomic conditions and financial system structures on leverage behavior. This research enriches the capital structure literature by offering a comparative, cross-national perspective and provides actionable insights for corporate managers, investors, and policymakers seeking to optimize capital structure in diverse financial environments
Does Board Diversity Influence Green Revenue and Firm Value? Evidence From an Emerging Market Alshawadfy Aladwey, Laila Mohamed
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-025

Abstract

This study investigates the effect of board diversity on green revenue among Saudi-listed firms. It places particular emphasis on the moderating role of shareholder value. To achieve this objective, the study constructs a composite board diversity index using principal component analysis (PCA). It employs random-effects panel regression models on firm-level data covering the period 2020–2024. Robustness is ensured through alternative model specifications and Generalized Method of Moments (GMM) estimations. The findings reveal that board diversity is positively associated with green revenue. In contrast, higher shareholder value, as measured by market valuation, is negatively associated with green revenue. Importantly, board diversity significantly mitigates this negative relationship. This indicates that diverse boards encourage stronger engagement in sustainable activities, even in highly valued firms. The study contributes to the literature by integrating board diversity, green revenue, and shareholder value within a single empirical framework in an emerging market context. The results offer novel evidence that board diversity serves as an effective governance mechanism for aligning sustainability objectives with value-driven corporate strategies. From both theoretical and policy perspectives, the findings support agency and resource-dependence theories. They highlight the importance of inclusive board structures in embedding sustainability into corporate decision-making.
Relationship Between Intellectual Capital and University Social Responsibility in Institutional Strengthening of Universities Ticona-Machaca, Alejandro; Cano-Ccoa, Dominga M.; Gutiérrez-Castillo, Félix H.; Marín-Cahuana , Rosalin M.; Zirena-Cano , Marisol G.; Charaja-Fernandez , Litzbel; Simbrón-Espejo , Shirley F.; Anibal-Rivero, Rafael A.; Rivero-Lazo , Mélida S.; Oscco-Solorzano , Rolando
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-026

Abstract

Universities face global challenges that require the integration of intellectual capital management and social responsibility. This study aims to analyze how the articulation between intellectual capital and social responsibility contributes to institutional strengthening in universities. A mixed-method approach was applied, combining bibliometric analysis and systematic literature review following the PRISMA protocol, covering 62 relevant studies from 2019 to 2024. Academic databases, lexicometric techniques, and technological tools were used to ensure methodological rigor and thematic coherence. The bibliometric analysis shows that 96.77% of studies were concentrated mainly in the field of Sustainability, led by universities in the global North with multidisciplinary approaches. The findings reveal that intellectual capital management and university social responsibility reinforce academic quality, stimulate innovation, and foster social commitment, thereby significantly contributing to institutional strengthening. As a novelty, the study highlights that the articulation of these dimensions drives sustainable development, promotes ethical organizational cultures, and strengthens collaborative networks. It also suggests the need for coherent public policies to ensure a lasting impact on universities and society. This comprehensive perspective offers new insights for higher education institutions seeking to integrate these elements strategically to address global challenges and improve their contribution to sustainable development.

Page 85 of 88 | Total Record : 874

 83   84   85   86   87 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol. 10 No. 1 (2026): February Vol. 9 No. 6 (2025): December Vol. 9 No. 5 (2025): October Vol. 9 No. 4 (2025): August Vol. 9 No. 3 (2025): June Vol 9, No 1 (2025): February Vol. 9 No. 1 (2025): February Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education" Vol 8, No 6 (2024): December Vol. 8 No. 5 (2024): October Vol 8, No 5 (2024): October Vol 8, No 4 (2024): August Vol 8, No 3 (2024): June Vol 8, No 2 (2024): April Vol 8, No 1 (2024): February Vol 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol 7 (2023): Special Issue "COVID-19: Emerging Research" Vol 7, No 6 (2023): December Vol 7, No 5 (2023): October Vol 7, No 4 (2023): August Vol 7, No 3 (2023): June Vol 7, No 2 (2023): April Vol 7, No 1 (2023): February Vol 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol 6 (2022): Special Issue "COVID-19: Emerging Research" Vol 6, No 6 (2022): December Vol 6, No 5 (2022): October Vol 6, No 4 (2022): August Vol 6, No 3 (2022): June Vol 6, No 2 (2022): April Vol 6, No 1 (2022): February Vol 6 (2022): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol 5 (2021): Special Issue "COVID-19: Emerging Research" Vol 5, No 6 (2021): December Vol 5, No 5 (2021): October Vol 5, No 4 (2021): August Vol 5, No 3 (2021): June Vol 5, No 2 (2021): April Vol 5, No 1 (2021): February Vol 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021) Vol 4, No 6 (2020): December Vol 4, No 5 (2020): October Vol 4, No 4 (2020): August Vol 4, No 3 (2020): June Vol 4, No 2 (2020): April Vol 4, No 1 (2020): February Vol 3, No 6 (2019): December Vol 3, No 5 (2019): October Vol 3, No 4 (2019): August Vol 3, No 3 (2019): June Vol 3, No 2 (2019): April Vol 3, No 1 (2019): February Vol 2, No 6 (2018): December Vol 2, No 5 (2018): October Vol 2, No 4 (2018): August Vol 2, No 3 (2018): June Vol 2, No 2 (2018): April Vol 2, No 1 (2018): February Vol 1, No 4 (2017): December Vol 1, No 3 (2017): October Vol 1, No 2 (2017): August Vol 1, No 1 (2017): June More Issue