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
 63   64   65   66   67 
New Model of Inclusive Higher Education Practices in Megacities’ Universities Lantsova, Irina; Kutsuri, Georgiy; Shcherbatykh, Lyudmila; Gladysheva, Marina; Grebennikova, Veronica; Morán, Próspero; Kosov, Mikhail; Singer, Nermeen; Muda, Iskandar; Dudnik, Olesya
Emerging Science Journal Vol 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-SIED1-03

Abstract

This study analyzes the problem of higher professional education for people with disabilities in multinational megacities from different countries. The aim of this paper is to investigate the emerging changes and perspectives of educational inclusion in the universities of Moscow, Jakarta, Barcelona, and Cairo and to develop a new model of inclusive educational practice for universities based on an inclusive ideology of understanding the position of people with disabilities in the education system and society overall. To perform this study and verify the new model proposed by the authors, participants were selected from ten universities that indicated parameters such as accessibility, participation, quality, students’ education results, and government funding. The survey aimed to collect participants’ perspectives and experiences from diverse elements of the higher education community in the aforementioned locations. 751 participants were selected for the survey with a balanced gender distribution: 48.6% men and 51.4% women. Age distribution was rather diverse: the age group of 18–24 years was 25,7%, the age group of 25–34 years was 27,3%, the age group of 35–44 years was 25,6%, and the age group of 45 years 21,4%. Another distribution was people without disabilities (N=250) and with disabilities (N=551). The reliability of the research was achieved using several methods, including ANOVA. The results of this research show similarities and differences in implementing inclusive education practices across selected locations, providing a detailed picture of the current state and future perspectives of higher inclusive education. The scientific novelty of this research lies in the theoretical-methodological rationale of the new model of inclusive higher education practices in universities of major megacities and in forming the propositions on this model’s implementation in higher education institutions. Doi: 10.28991/ESJ-2024-SIED1-03 Full Text: PDF
Multi-Sensory Marketing and Impulsive Buying Behavior: The Role of Impulsive Buying Traits Le, Nguyen; Mai, Ngoc Thi Bich; Nguyen, Nhu Y Thi; Vu, Huyen Ngoc Thi
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-05

Abstract

The rapid growth of the retail market, coupled with increased consumer income, has led to a surge in impulsive and unplanned shopping. This study aims to examine the relationships between multi-sensory marketing, customers' moods, impulsive buying traits, and impulsive buying behavior, using the Stimulus-Organism-Response (S-O-R) model. Customers' mood acts as a mediator and impulsive buying traits as a moderator. The researchers surveyed 450 consumers in Vietnam using the method of non-probability sampling and analyzed the data using SPSS and Smart PLS 4.0. The results show that customers' moods and impulsive buying traits positively influence impulsive buying behavior, with impulsive buying traits also significantly moderating the relationship between mood and impulsive buying. Additionally, customers' moods mediate the relationship between multi-sensory marketing and impulsive buying behavior. This research fills gaps in previous research by incorporating multi-sensory marketing and impulsive buying traits as variables and provides managerial implications for businesses and retailers to develop effective marketing strategies to encourage impulsive purchases and increase sales. Academically, the research reaffirms the relevance of the S-O-R model in the retail context and paves the way for future investigations into consumers' impulsive buying behavior. Doi: 10.28991/ESJ-2024-08-05-05 Full Text: PDF
Adaptive Strategies: Algorithmic Analysis of Pre- and Post-Pandemic Manager-Frontline Employee Communication Model in Restaurants Gutiérrez, María D. Lozano; Rojas López, Franco; Ochoa, Guadalupe Rovira
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-021

Abstract

The aim of this study is to determine the impact of the COVID-19 pandemic on an independent restaurant chain in Puebla, Mexico, through longitudinal censuses with employees who had direct contact with diner guests (frontline employees) in 2019 and 2023. The survey data was analyzed through the algorithm Synthetic Minority Over-sampling Technique (SMOTE) to balance sample sizes and Information Gain to determine the dependence between the study variables. The results revealed the health crisis has led to changes in pivotal factors that drove better performance from frontline employees and managers in restaurants in Mexico. After the pandemic, frontline employees began to favor standard compliance due to the reinforcement of hygiene protocols. However, there are implications for the structure of teams and work styles on account of the decline in the number of frontline employees and the creation of multifunctional positions. Regarding the manager's factors, Linear Communication, which consists of providing clear and timely information, has become more relevant. While, there has been a decrease in Dynamic Communication oriented towards dialogue and Productive Communication focused on participation and the achievement of objectives. COVID-19 has accentuated the vulnerability of female frontline employees, who, since the pandemic, occupy multifunctional positions; the number of employees has decreased in greater proportion than the number of restaurants that have closed, impacting team dynamics; the most affected restaurants are located in automotive industrial parks, while restaurants in tourist or commercial areas have managed to maintain their workforce. The selected independent restaurant chain has focused on the functional aspects of the restaurant, as denoted by their current transactional leadership style and hierarchical organizational culture. However, there is an important theoretical implication related to the post-pandemic context, characterized by the presence of multifunctional roles and the pressure to meet customer service standards. Frontline employees have adopted individualistic behaviors, negatively impacting collaborative teamwork. These finding challenges existing literature that often emphasizes the positive aspects of employee empowerment and multifunctionality; it suggests that, under certain conditions, these factors may inadvertently hinder team cohesion and collaborative efforts. This study highlights the need to capitalize on Mexican restaurants by not only valuing the strategies from senior management but also by incorporating interpersonal perspectives from frontline employees to improve the organization in procedural and relational terms to adapt to future crises. Doi: 10.28991/ESJ-2024-08-05-021 Full Text: PDF
Development of a Cloud Service for Comprehensive Research of Polymer Synthesis Processes Miftakhov, Eldar; Mustafina, Sofya; Kashnikova, Anastasiya; Akimov, Andrey
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-023

Abstract

The issue of digitalization in chemical technology production is currently quite pressing, and the available computational infrastructure is insufficient for assessing the technological properties of the products obtained through mathematical modeling tools. This problem is particularly relevant for polymer synthesis processes, where standard empirical evaluations require enormous computational resources, and existing methods and algorithms prove ineffective when organizing multiple computational trials to select optimal production scenarios. The aim of this study is to develop a cloud-based digital service that enables comprehensive research into complex physicochemical processes occurring via polymerization mechanisms. The implementation of all algorithms is based on the use of kinetic and statistical approaches to modeling, and the embedded calculation methods are adapted to the specifics of polymerization processes. The conceptual framework of the developed cloud service is represented by a three-tier network architecture, and the established mechanism of network interaction allows the service to operate in a 24-hour multi-user mode. Task execution in the remote environment and the distribution of computational resources are handled using Docker containerization technology, which provides software-level virtualization within the operating system. The storage subsystem is managed by the MongoDB database management system, which supports distributed information storage functions. The organization of test computational experiments in evaluating the detailed properties of polymer products allowed for the assessment of the system’s core logic in web interface mode and the adequacy of the obtained calculation results. Doi: 10.28991/ESJ-2024-08-06-023 Full Text: PDF
Optimizing STEM Education via e-Learning: Addressing Challenges and Strategic Planning for Graduate Employment Outcomes Al Shamsi, Ibrahim Rashid
Emerging Science Journal Vol 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-SIED1-014

Abstract

This study fills a significant vacuum in the literature and offers insightful information, especially pertinent to the Arabic and Gulf areas. In support of the socioeconomic development and diversification initiatives in these areas, it encourages the creation of educational policies and practices that can improve student job chances. Educators and policymakers play a crucial role in implementing these recommendations, ensuring that effective STEM education equips future generations with the knowledge and skills to navigate and secure digital environments, mitigating risks posed by cyber threats. By preparing students to excel in STEM disciplines, they ensure that the future workforce is ready to contribute to and shape a safer, more innovative future. Today's STEM workforce requires continuous education to stay abreast of advancements in STEM fields. Online delivery of STEM courses enables higher education institutions to collaborate effectively with industry partners, minimizing disruptions to productivity. This study aims to evaluate the enhancement of students' STEM knowledge and skills through e-learning platforms using Structural Equation Modeling (SEM). The dataset comprises 212 participants and 15 indicators, analyzed using measurement and structural models. Results indicate significant findings supporting hypotheses: E-Learning (E.L.) improving Student employment opportunities (SEO) (B=0.539, t=8.884, p=0.000) and E.L. improving STEM (B=0.465, t=8.849, p=0.000), validating H1 and H2, respectively. H3 explores how possessing STEM knowledge mediates E-Learning's impact on SEO, revealing a notable indirect relationship (B=0.082, t=2.303, p=0.021). Integrating E-Learning with STEM fosters a robust digital infrastructure, addressing talent shortages and improving human resource management amidst global technological advances. Online STEM courses are increasingly recognized as a viable solution to national STEM challenges, overcoming traditional adoption barriers. Doi: 10.28991/ESJ-2024-SIED1-014 Full Text: PDF
A New Vision for Enhancing Women’s Leadership Role in Higher Education Decision-Making Tlepina, Sholpan; Sarsembayev, Marat; Abaideldinov, Yerbol; Balmagambetova, Venera; Zhunusbekova, Aigerim
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-016

Abstract

Legal issues of gender equality and the principle of inadmissibility of discrimination against women in all spheres of life are becoming relevant worldwide, including in the Republic of Kazakhstan. This study aims to show ways to enhance the role of women in the higher education system, which is necessary to implement the principle of real equality in relationships with men, the principle of fair distribution of managerial positions without gender discrimination, and the implementation of leadership activities by women due to their managerial potential. To achieve this goal, the authors have researched this topic in a comparative legal format, comparing the practice and legal peculiarities of Kazakhstan and some developed countries. We used logical analysis, comparative legislative analysis, legal analysis, and legal forecasting. Kazakh legislative acts that promote the expansion of women’s rights while enhancing the role of women in higher education were analyzed. The practical results of the study consist in the formulation and justification of organizational and legal ways to increase the leadership role of women in higher education in the Republic. The scientific novelty lies in the previously unexplored topic of gender equality in the higher education system of Kazakhstan from a legal viewpoint. The conclusion about gender asymmetry should encourage other researchers to study this problem on a larger scale and deepen the understanding that only clearly, competently, and equally selected leaders of both sexes can positively influence the accelerated development of the higher education system and ensure the actual competitiveness of Kazakhstani universities and their graduates. Doi: 10.28991/ESJ-2024-08-05-016 Full Text: PDF
Managerial Recommendations for Enhancing Green Consumption Behavior and Sustainable Consumption Nga, Lu Phi; Tam, Phan Thanh
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-07

Abstract

The green consumerism movement is gaining steam in emerging nations with middle-income or higher populations, such as Vietnam, and is particularly well-liked in affluent countries. In addition, the importance of green consumerism is gaining significant traction, alongside efforts to promote ecologically friendly production and consumption. As the economy progressed, people's living standards improved, leading to a growing need for high-quality, safe products and services. This is particularly true for items that directly serve people and contribute to their everyday lives. Therefore, the article aims to evaluate the factors affecting green consumer behavior and sustainable consumption based on the structural equation model with the least squares method to test their hypotheses. The data were applied in the study through a survey of 360 consumers in 04 big cities in Vietnam. Research results showed that seven factors impact green consumption behavior, including (1) environmental awareness, (2) green product characteristics, (3) green marketing, (4) perceptions about green product prices, (5) social influence, (6) environmental policy, and (7) green consumption policy with significance 0.01. The finding explores green consumption behavior influencing sustainable consumption with a significance of 0.01. The practical implication helps managers, policymakers, and manufacturers consider applications to improve humanity and behavior green consumption in the global context of moving towards sustainable green development. The theory implication is to change behavior to improve greening production, reduce pollution and greenhouse emissions, and move towards sustainable development, bringing many practical economic and social benefits and intangible value for businesses. Simultaneously, the novelty of the study aids enterprises in staying abreast of this trend, enabling them to seize possibilities for fast growth, extend their market presence, and capitalize on governmental backing for businesses. Doi: 10.28991/ESJ-2024-08-06-07 Full Text: PDF
Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift Kuklin, Vladimir Zh.; Ivanov, Naur Z.; Muranov, Alexander N.; Alexandrov, Islam A.; Linskaya, Elena Yu.
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-018

Abstract

Modern complexes providing biometric identification face several problems, such as information drift caused by the variability of facial patterns, voice timbres, and current states. Information drift can characteristically exhibit short-term (subjects' states have changed) or long-term changes. Simultaneously, the developed trusted systems should not have the properties of explainable AI to prevent the possibility of intruders, based on understanding the system behavior to perform actions to hack the system. This paper's objective is to improve the reliability of biometric authentication by increasing the informativity of the classified images by transforming the correlations between the information features using the Bayes-Minkowski measure. The paper puts forth the proposition of employing neuroimmune models that are founded upon the principles of both acquired and innate immunity, with an analogy to the natural immune system. In addition, the authors propose to analyze correlations between information features instead of the features themselves. To reduce the influence of data drift, the authors suggest using adaptive learning with a teacher and reinforcement, which helps to work even with small and unrepresentative data samples. The proposed algorithm demonstrates a high degree of accuracy, as evidenced by its equal error rate (EER), and is particularly well-suited to feature recognition tasks due to its adaptive model. The test results have shown that the proposed solutions increase the level of security of personal data and improve the reliability of biometric authentication against fraudulent actions of intruders, including approaches based on adversarial algorithms. The integration of the immune structure into the authentication system enables the algorithm to remain stable even when presented with a limited number of samples. The proposed algorithm mitigates the impact of data drift on the authentication outcome. Doi: 10.28991/ESJ-2024-08-06-018 Full Text: PDF
Gender Differences in Academic Staff Performance: An Advanced Analysis Using PLS-SEM in Higher Education Taufiq Hail, Ghilan Al-Madhagy; Yusof, Shafiz Affendi Mohd; Shakir, Mohanaad; Al Farsi, Maryam Juma; Al-Shamsi, Ibrahim R.; Sarea, Adel
Emerging Science Journal Vol 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-SIED1-09

Abstract

This study aims to comprehensively explore the intricate dynamics among positive and negative emotions, self-efficacy, and task performance within the unique context of the Covid-19 pandemic in Bahrain, specifically placing emphasis on potential gender-related distinctions within the proposed relationships. The ongoing pandemic accentuates the need to investigate the interplay between emotional states, self-efficacy beliefs, and task performance in academic and teaching domains, especially considering potential gender variations within the framework of a society promoting gender equality. Employing a quantitative survey instrument and rigorous statistical techniques, the study validates its proposed model through indicators such as the coefficient of determination (R²) and predictive relevance (Q²). The diverse sample comprises academic and teaching staff of both genders from Bahrain. Advanced statistical methodologies, including Measurement Invariance (MICOM) and Multigroup Analysis (MGA) facilitated by SmartPLS PLS-SEM, provide deeper insights into gender disparities. Significantly contributing to existing knowledge, this paper elucidates the complex relationships among emotions, self-efficacy, and task performance amid a crisis, with a distinctive focus on meticulously investigating gender differences. The study underscores the consistent positive impact of positive emotions on task performance across genders in Bahrain. Recommendations advocate for prioritizing support for academic and teaching staff during crises, emphasizing the positive impact on academic outcomes. Future research should explore demographic intricacies and potential mediating or moderating factors, deepening the comprehension of these complex dynamics. Highlighting the cascading impact of prioritizing the well-being and morale of academic and teaching staff, the study envisions a positive transformation resonating across various facets of society, extending beyond the confines of academia. Doi: 10.28991/ESJ-2024-SIED1-09 Full Text: PDF
How Do Transformational Leadership and Affective Trust Enhance Creativity? Huynh Thi Thu, Suong; Pham, Minh
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-011

Abstract

The pressure of competitive higher education has affected most universities, and whether the utilization of human capital as a resource to foster creativity, increase motivation, and boost innovation is an important topic to investigate. This study aims to explore the relationship between the elements of transformational leadership, affective trust, and intrinsic motivation and their impact on creativity to increase the performance of lecturers at Vietnamese universities, where most of them are also creators. Quantitative research is applied with data collected from full-time lecturers at Vietnamese universities from December 2023 to January 2024. The hypothesized correlations were investigated using structural equation modeling on a sample of 311 participants in Vietnam. The findings reveal substantial causal correlations between transformational leadership, affective trust, intrinsic motivation's determinants, and the creativity to improve performance and positive behavior from the lecturers' perspective. These results imply that leaders should focus on the prefix role of transformational leadership, which is the origin of affective trust, intrinsic motivation, and creativity, to raise the standard of higher education. In particular, affective trust needs more attention because it has the most vital mediating role in enhancing the impact of transformational leadership on lecturers' creativity. Doi: 10.28991/ESJ-2024-08-05-011 Full Text: PDF

Page 65 of 88 | Total Record : 874

 63   64   65   66   67 

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