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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 837 Documents
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Policy Recommendations for Enhancing the Green Banking and Sustainable Development Dien Vy, Phan; Tam, Phan Thanh
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-011

Abstract

This study examines the key factors influencing green banking and sustainable development in Vietnam to provide evidence-based policy recommendations to promote the integration of sustainability within financial institutions. A mixed-method approach combining qualitative and quantitative analyses was adopted. The research process began with focus group discussions with 30 banking experts, followed by in-depth interviews with senior managers to refine measurement scales. Subsequently, a structured survey was conducted among 900 commercial bank managers in the Southeast region, and the collected data (n = 845 valid responses) were analyzed using exploratory factor analysis, confirmatory factor analysis, and structural equation modeling (SEM). The findings reveal seven knowledge-driven factors that significantly affect green banking and sustainable development: the legal framework and supporting policies, awareness and trends in sustainable consumption, financial technology, leadership commitment and corporate culture, pressure from investors and international organizations, climate change and environmental risk management, and public-private partnerships. Among them, the legal framework and supporting policies emerged as the most influential drivers. Green banking practices are also shown to directly contribute to sustainable development by financing environmentally friendly projects and integrating ESG principles. The study’s novelty lies in its knowledge-based economy perspective, demonstrating how policy knowledge, financial technology, and organizational learning interact to enhance sustainability. Practical implications highlight the need for regulatory reform, technology adoption, and cross-sectoral collaboration to accelerate Vietnam’s transition to a green economy.
The Use of Eye-Tracking Technology in Mathematics Education: A Mapping Study with Bibliometric Analysis Farman; Siswono, Tatag Y. E.; Lukito, Agung; Dewi, Ratna Sari; Hali , Fitriyani; Herlina
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-029

Abstract

This study aims to identify trends, domains, and research topics of eye-tracking methodology in mathematics education published in Scopus-indexed journals. A systematic mapping study with bibliometric was employed to investigate the field. The analysis identified 119 eye-tracking studies in mathematics education published between 2013 and 2023, reflecting fluctuating publication trends. In this period, 333 authors, 78 sources, 156 organizations, and 38 countries contributed to the field. Schindler authored the most documents, while Germany and the United States recorded the highest output. The most cited work was by Cortina et al., and the International Journal of Science and Mathematics Education was the most frequently cited journal. Collaborations analysis identified Brockmole and Hannula as the most collaborative authors, and the University of Helsinki as the most active institution. Topic and domain analysis showed that the studies primarily focused on numbers and arithmetic, problem-solving, reasoning, individual differences, mathematical anxiety, creativity, mathematical representation, multimedia in learning, embodied cognition, mathematics learning, learning difficulties, geometry, and preschool mathematics. The findings suggest that several mathematical domains remain underexplored, offering opportunities for further eye-tracking research in mathematics education.
Evaluating Digital Transformation Risks in Logistics and Supply Chain Management with PLS-SEM-ANN-fsQCA Nguyen, H. T. M.; Dang, H. B.; Nguyen, A. V. T.; Nguyen, H. Ngoc; Nguyen, P. V.
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-023

Abstract

This study investigates the risks associated with digital transformation (DT) implementation in Vietnam’s logistics and supply chain management (SCM) sector, utilizing a hybrid PLS-SEM-ANN-fsQCA methodology to analyze data from 243 valid questionnaires. Anchored in the Technology-Organization-Environment framework augmented with human factors (TOE+H), the research aims to examine how technological, organizational, environmental, and human factors influence DT adoption and associated risks, including financial, operational, cybersecurity, and reputational risks, while exploring the moderating roles of firm size and digital literacy. Findings reveal that TOE+H factors significantly drive DT implementation, but misalignment, ineffective management, market volatility, and limited digital literacy amplify risks, particularly cybersecurity vulnerabilities. Moderation analyses indicate that high digital literacy, larger firm size, and regulatory compliance mitigate these risks. Artificial neural network (ANN) analysis highlights non-linear relationships, emphasizing technological and human factors as key drivers, while fuzzy-set qualitative comparative analysis (fsQCA) identifies configurations, such as strong technological-human factor alignment, linked to successful DT outcomes. Importance-Performance Map Analysis (IPMA) prioritizes technological and human factors for resource allocation to enhance sustainability. This study advances the TOE+H framework by integrating a hybrid methodology, offering novel insights into DT risk dynamics and practical strategies for sustainable logistics in Vietnam’s SCM sector.
Linking Psychological Safety Climate to Dual Innovation Through AI-Enabled Dynamic Capabilities Tao, Ke; Tan, Chai Ching
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-022

Abstract

Objective: This study develops and empirically validates an integrated model that explains how the psychological safety climate influences dual innovation through AI-enabled dynamic capabilities in Chinese design organizations. Methods: A cross-sectional survey was conducted among 281 designers from industry design firms and departments. Data analysis employed partial least squares-structural equation modeling, including mediation bootstrapping analysis, importance-performance map analysis, necessary condition analysis, and quadratic effect analysis. Findings: All hypotheses received strong empirical support. The psychological safety climate has a significant influence on AI-enabled dynamic capabilities, with a path coefficient of 0.452 at p <0.001, and on dual innovation, with a coefficient of 0.383 at p < 0.001. AI-enabled dynamic capabilities have a positive impact on dual innovation, with a coefficient of 0.384 at p < 0.001, and significant mediation effects, indicating an indirect effect of 0.174 at p < 0.001. The model explains 42.7% of the variance in dual innovation. Importance-performance analysis reveals a psychological safety climate as highly important but moderately performing, indicating strategic opportunities for improvement for organizations. Necessary condition analysis confirms both constructs as essential requirements for innovation outcomes. The findings demonstrate that psychological safety climate, as a higher-order cultural resource, enables lower-order AI-enabled dynamic capabilities, supporting socio-technical systems structure for dual innovation. Organizations should prioritize investments in psychological safety while maintaining their AI capabilities. Novelty: This research introduces AI-enabled dynamic capabilities as a second-order formative construct and establishes the meta-capability role of psychological safety climate in AI-enabled dynamic capabilities and dual innovation, thereby extending the resource-based view and dynamic capabilities theories through micro-foundational perspectives.
Exploring Contextual and Behavioral Determinants of Environmental Auditing Adoption Thu Hoai, Nguyen
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-06

Abstract

This study's primary objective is to identify the determinants of environmental auditing (EA) adoption intention in environmentally sensitive industries. Its novelty lies in developing and testing an integrated model that extends the Theory of Planned Behavior (TPB) by incorporating four contextual factors: Coercive Pressure, Stakeholder Pressure, Internal Resources, and Corporate Culture. For its methodology, the research analyzed survey data from 336 senior managers using Structural Equation Modeling (SEM). The findings confirm that the three core TPB constructs - Attitude, Subjective Norms, and Perceived Behavioral Control - are all direct, positive, and significant predictors of EA intention, with Attitude emerging as the strongest. Crucially, the study finds that the four contextual factors only influence intention indirectly, as their effects are fully mediated by the TPB constructs; Corporate Culture and Internal Resources exhibited the greatest total indirect effects. This research provides a significant improvement over existing models by empirically demonstrating this dual-pathway mechanism, suggesting that efforts to promote EA in Vietnam must focus not only on external pressures but also on cultivating positive managerial attitudes and enhancing internal organizational capabilities.
Credit Allocation to Private Sector and Growth: An ARDL Analysis for a Transitional Economy Nguyen, Tran Phuc
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-019

Abstract

This study examines the role of credit allocation to the private sector in driving economic growth in Vietnam’s transitional economy. The primary objective is to evaluate whether bank credit allocation fosters sustainable output expansion or, conversely, produces diminishing returns when it surpasses optimal levels. Employing the Autoregressive Distributed Lag (ARDL) bounds testing framework, the analysis uses annual data for 1990–2024 and compares three specifications: credit to the private sector, aggregate credit to the economy, and credit to the state sector. Findings indicate a robust long-run cointegration between credit and output, but with a clear nonlinear pattern: private credit enhances growth up to a threshold of roughly 91% of GDP, beyond which its marginal effect declines. While capital formation and moderate inflation consistently support long-term growth, foreign direct investment exerts mainly short-term benefits, and state-directed credit shows no significant contribution. The novelty of this paper lies in extending previous studies through a longer time horizon, updated post-GDP-revision data, and explicit disaggregation between private and state credit. By highlighting threshold effects and sectoral inefficiencies, this research improves understanding of the credit–growth nexus in transitional economies and underscores the need to prioritize credit quality, efficiency, and SME access in credit policy. JEL Classification: E51, G21, O47, P27.
Rateless Polar Codes Exploiting Repetition Coding Principle with EXIT Analysis for Broadband Transmissions Siti Rohmah, Yuyun; Iskandar; Khoirul Anwar; Sigit Arifianto, M.
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-020

Abstract

This paper proposes a novel design of polar codes for rateless transmissions employing extended parity (EP) to enhance performance under broadband channel conditions. The idea of the proposed design is to achieve diversity across all samples by employing simple butterfly XOR operations, which inherently support rateless broadband transmissions. In particular, the design exploits the principle of repetition, where simple XOR operations do not only contribute to error protection but also strengthen the polarization effect and reinforce the rateless property of polar codes. The proposed codes are evaluated over Rayleigh fading, fully interleaved, and additive white Gaussian noise (AWGN) channels. The results show that the proposed codes achieve significant performance improvements, particularly in AWGN and fully interleaved environments, thereby confirming that the use of XOR operations effectively enhances transmission reliability. Furthermore, the proposed codes are investigated through extrinsic information transfer (EXIT) analysis using closed-form expressions. The analysis reveals that the decoding process exhibits faster convergence when EP is employed. In addition, computational complexity analysis shows that the additional overhead introduced by EP remains minimal. Importantly, the proposed structure preserves the standard polar transform and decoding graph, ensuring scalability similar to conventional polar codes. Hence, the proposed design balances performance and computational efficiency, making it a compelling solution for broadband scenarios and dynamic channel environments.
The Performance Impact of Management Control Systems: Assessing the Mediating Role of Organizational Culture Lyu, Chunchun; Swatdikun, Trairong; Lakkanawanit, Pankaewta; Issayeva, Gulmira
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-010

Abstract

This research examines the dual-pathway impact of Management Control Systems (MCS) on Company Performance (CP) in China’s liquor industry, with a focus on the mediating role of Organizational Culture (OC). The research aims to address gaps in understanding how MCS enhances both financial and non-financial performance through cultural mechanisms, a critical yet underexplored dynamic in heritage-based industries. Employing a mixed-methods approach, the research analyzes survey data from 497 firms using Structural Equation Modeling (SEM) and mediation analysis to test three hypotheses: (1) MCS directly improves CP, (2) MCS fosters OC, and (3) OC mediates the MCS-CP relationship. Key findings reveal that MCS significantly boosts CP (β=0.438, p<0.001), while OC partially mediates this relationship (indirect effect β=0.249, p<0.001). The novelty lies in demonstrating how MCS transcends operational efficiency to shape cultural assets, which in turn drive competitive advantage. This research advances contingency theory by highlighting sector-specific adaptations, such as digital MCS tools balancing tradition with market responsiveness, and offers practical insights for integrating control systems with cultural stewardship in traditional industries.
The Impact of Climate-Smart Technology Adoption on Agricultural Productivity and Environmental Sustainability Karakulov, Farkhod; Menglikulov, Bakhtiyor; Mamasadikov, Abror; Kholbutaeva, Shaknoza; Mukhtorov, Abdukholik; Abdulkhaeva, Gulshan; Gafurova, Dilshoda; Ruziyev, Sodik; Ablatdinov, Sultanbek; Durmanov, Akmal
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-012

Abstract

This study provides an empirical assessment of emerging opportunities and offers a conceptual framework for understanding the potential impacts of climate-smart agriculture (CSA) adoption on agricultural productivity and environmental sustainability. Focusing on Uzbekistan, the research employs quantitative analysis of farm-level data, adoption gradient modeling, and return-on-investment (ROI) estimation to examine how CSA technologies influence key farm-level outcomes, including yields, income, resource-use efficiency (RUE), soil erosion, and water quality under world constraints. In cotton-wheat systems, the usage of six or more CSA is associated with a 71% increase in farm income, a 43% rise in crop yields, and a 48% improvement in resource-use efficiency (RUE), compared to farms with low levels of CSA usage. Fertilizer micro-dosing is associated with an average increase in cotton yields of 245.8 kg ha⁻¹ yr⁻¹ and delivers a ROI of 456%. Multivariate regression models account for 57.3% of the variation in yield and 61.8% in farm income, underscoring the explanatory power of CSA adoption patterns. Comparative analyses demonstrate that organic matter-based practices consistently outperform capital-intensive alternatives in both economic and environmental terms. The methodological approach integrates monitoring, reporting, and verification (MRV) indicators, payback period estimations, and threshold analyses tailored to risk-sensitive smallholder contexts. The findings provide robust empirical support for evidence-informed CSA policy formulation, including the design of targeted subsidies, extension services, and investment strategies in Uzbekistan. By reconciling global CSA implementation paradigms with localized constraints, the study generates scalable and empirically validated approaches, offering methodological relevance for analogous agroecological and institutional contexts.
Artificial Intelligence in Recruitment: A Multivocal Review of Benefits, Challenges, and Strategies Trovão, Hugo; S. Mamede, Henrique; Trigo, Paulo; Santos, Vitor
Emerging Science Journal Vol. 9 No. 6 (2025): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-06-030

Abstract

This study investigates the role of artificial intelligence (AI) in recruitment, with a specific emphasis on small and medium enterprises (SMEs) and cultural diversity, two dimensions frequently underrepresented in existing research. The objective is to evaluate the benefits, challenges, and strategies for the responsible adoption of AI in recruitment. To achieve this, a Multivocal Literature Review (MLR) was conducted, systematically synthesising peer-reviewed studies and grey literature published from 2018 onwards. Following Kitchenham’s systematic review guidelines and Garousi’s multivocal extensions, academic and practitioner perspectives were analysed to capture both theoretical insights and real-world practices. The findings indicate that AI can streamline recruitment processes, improve decision-making accuracy, and enhance candidate experience through tools such as résumé screening, predictive analytics, and generative AI applications. However, issues of algorithmic bias, limited transparency, data quality, regulatory compliance, and workforce scepticism persist, particularly in SMEs that face resource constraints. Although much of the available evidence reflects Western contexts, this review broadens the scope by integrating global perspectives and highlighting how cultural and regional factors influence AI acceptance. The novelty of this study lies in combining academic and industry evidence to propose actionable strategies—such as bias audits, explainable AI frameworks, and human-in-the-loop approaches—for more inclusive, sustainable, and globally relevant adoption of AI in recruitment.

Page 83 of 84 | Total Record : 837

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