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Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
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 20 Documents
Search results for , issue "Vol 6, No 6 (2022): December" : 20 Documents clear
Corporate Social Responsibility and Bank’s Performance under the Mediating Role of Customer Satisfaction and Bank Reputation Kim Quoc Trung Nguyen
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-012

Abstract

This paper aims to examine the indirect linkage between corporate social responsibility (CSR) and firm performance via the effects of customer satisfaction and bank reputation. The study applies Structural Equation Modelling (SEM) to a sample of top managers, finance managers, chief accountants, and employees in Vietnamese state-owned commercial banks. The findings explore the statistically significant effect of CSR on bank performance under the mediating role of customer satisfaction and bank reputation, which are not concerned by previous studies. Because CSR activities assist banks in maintaining their reputation by complying with a long-term commitment to stakeholders' interests and providing valuable customer benefits to increase their satisfaction. So, the research results show that customer satisfaction and the bank's reputation promote a positive relationship between CSR and bank performance. Doi: 10.28991/ESJ-2022-06-06-012 Full Text: PDF
Design of Formative-Summative Evaluation Model Based on Tri Pramana-Weighted Product I Putu Wisna Ariawan; Wayan Sugandini; I Made Ardana; I Made Suwastika Dharma Arta; Dewa Gede Hendra Divayana
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-016

Abstract

Quality in the implementation of e-learning in health universities can be measured both during the learning process and after the learning ends. Measurement can be performed through evaluation activities. The evaluation model needed was an innovative evaluation model that can look for the dominant aspects that determined the quality of e-learning implementation. One breakthrough evaluation model produced in this research to answer this need was the Formative-Summative evaluation model based on the Tri Pramana-Weighted Product. The main objective of this research was to show the quality of the Formative-Summative evaluation model design based on the Tri Pramana-Weighted Product. This research approach was based on the Borg & Gall development model, which focused on the design development stage. The subjects involved in conducting trials of the evaluation model design were 34 respondents. The technique for determining the subject was carried out using a purposive sampling technique. In addition, the tool used to conduct the trial was a questionnaire. The location for filling out the questionnaire was in health universities and colleges in the province of Bali. The technique used to analyze the data from the test results was descriptive quantitative by comparing the average percentage of the quality of the test results with the percentage of quality that refers to the five-scale categorization. The results showed that the percentage of the design quality of the Formative-Summative evaluation model based on the Tri Pramana-Weighted Productof 88.02%. This means that the quality of the evaluation model design was included in the good category. The impact of the results of this research on the field of education was to present an innovation in evaluation activities that made it easier for educational evaluators to measure the quality of e-learning, especially in health universities and colleges. Doi: 10.28991/ESJ-2022-06-06-016 Full Text: PDF
Discovering Future Earnings Patterns through FP-Growth and ECLAT Algorithms with Optimized Discretization Putthiporn Thanathamathee; Siriporn Sawangarreerak
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-07

Abstract

Future earnings indicate whether the trend of earnings is increasing or decreasing in the future of a business. It is beneficial to investors and users in the analysis and planning of investments. Consequently, this study aimed to identify future earnings patterns from financial statements on the Stock Exchange of Thailand. We proposed a novel approach based on FP-Growth and ECLAT algorithms with optimized discretization to identify associated future earnings patterns. The patterns are easy to use and interpret for the co-occurrence of associated future earnings patterns that differ from other studies that have only predicted earnings or analyzed the earnings factor from accounting descriptors. We found four strongly associated increases in earnings patterns and nine strongly associated decreases. Moreover, we also established ten accounting descriptors related to earnings: 1) %∆ in long-term debt, 2) %∆ in debt-to-equity ratio, 3) %∆ in depreciation/plant assets, 4) %∆ in operating income/total assets, 5) %∆ in working capital/total assets, 6) debt-to-equity ratio, 7) issuance of long-term debt as a percentage of total long-term debt, 8) long-term debt to equity, 9) repayment of long-term debt as a percentage of total long-term debt, and 10) return on closing equity. Doi: 10.28991/ESJ-2022-06-06-07 Full Text: PDF
The Benefits of Automated Machine Learning in Hospitality: A Step-By-Step Guide and AutoML Tool Mauro Castelli; Diego Costa Pinto; Saleh Shuqair; Davide Montali; Leonardo Vanneschi
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-02

Abstract

The manuscript presents a tool to estimate and predict data accuracy in hospitality by means of automated machine learning (AutoML). It uses a tree-based pipeline optimization tool (TPOT) as a methodological framework. The TPOT is an AutoML framework based on genetic programming, and it is particularly useful to generate classification models, for regression analysis, and to determine the most accurate algorithms and hyperparameters in hospitality. To demonstrate the presented tool’s real usefulness, we show that the TPOT findings provide further improvement, using a real-world dataset to convert key hospitality variables (customer satisfaction, loyalty) to revenue, with up to 93% prediction accuracy on unseen data. Doi: 10.28991/ESJ-2022-06-06-02 Full Text: PDF
The Effect of Remote Learning, Family Condition, and Mental Resilience on Depression Symptoms of Early Childhood I Wayan Karta; Ni Wayan Rasmini; I Wayan Widiana; Putu Rahayu Ujianti
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-013

Abstract

The Covid-19 pandemic that attacked Indonesia and other countries of the world has changed human’ way of life. The Covid-19 pandemic greatly influences the field of education, where all learning activities turn to online mode, which results in students’ depression symptoms due to their unpreparedness. This study aims to analyze the impact of remote learning, family conditions, and mental resilience on depression symptoms in early childhood. This study used ex-post facto research (measurement after the event) because the research data for both independent variables and dependent variables occurred before this study was held. The study population was 80 children. The data collection method used was a questionnaire developed from the indicators of each variable. The analysis method used multiple regression. The data analysis used correlation and regression techniques, with regression analysis of three predictors and one criterion. The research findings showed that depression symptoms of early childhood are jointly influenced by remote learning, family condition, and mental resilience. However, two variables that do not affect the depression symptoms of early childhood are remote learning and mental resilience. It can be recommended that parents and parties involved in early childhood education give more attention to children. Doi: 10.28991/ESJ-2022-06-06-013 Full Text: PDF
Are New Residential Areas Cooler than Older Ones? Ryoichi Doi
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-08

Abstract

This study was conducted to investigate if passive cooling technologies have been implemented in commercially supplied new residential areas in Bangkok and to observe if there were significant differences in the land surface temperature (LST) compared to old residential areas. Values of LST were compared among 62 residential areas that differed in completion year. The mean LST for the most recent residential areas completed in 2013 or later was significantly less than that for the other older categories, suggesting that passive cooling effects were significantly better functioning in the new residential areas. A roof treatment on old buildings in a public housing project was still quantitatively effective after 8 years. This suggested the possibility of a deteriorated cooling function in the older categories among the residential areas. The possibility of deterioration was quantitatively investigated. The results stressed the importance of the periodic maintenance of passive cooling functions. As an extension of precise basic studies, this is the first study to quantify the passive cooling effects on commercially supplied residential areas. In terms of spatial extent, this residential area–scale study bridges precise analyses of single buildings/materials and regional observations, mainly relying on satellite data. The study results can aid in the mitigation and prevention of the urban heat island phenomenon. Doi: 10.28991/ESJ-2022-06-06-08 Full Text: PDF
Understanding and Predicting the Determinants of Consumers’ Acceptance and Usage of M-commerce Application: Hybrid SEM and Neural Network Approach Odai Enaizan; Ashraf Saleh; Bilal Eneizan; Mohammad Almaaitah; Asaad Alsakarneh
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-018

Abstract

In m-commerce, privacy and security are major concerns. Existing research has examined the privacy and relationship, security, and intention to use. However, the determinants of privacy and security in mobile commerce remain largely unexplored. A study based on UTAUT2 and trust examines the factors that influence mobile commerce privacy and security. By using the approach of hybrid SEM/ANN analysis, it is possible to detect non-linear and non-compensatory relationships. According to linear and compensatory models, the absence of one determinant can be compensated for by another. The decision-making process of consumers is actually quite complex, and non-compensatory or linear models tend to simplify it. The sample is collected by using a mobile commerce application in order to gather 890 datasets on mobile commerce consumers. Findings: (1) Two determinants of M-commerce acceptance and use had an explicit and significant positive effect. Security and individual are two of these factors. (2) Privacy concerns have a severe negative impact on M-commerce acceptance and use. (3) Trust is found to partially mediate the effect on behavioral intentions of Security Factors (SCF), Privacy Factors (PRF), and Individual Factors (INF) on m-commerce in Jordan (INTENTION). According to the integrated model, m-commerce offers 71% privacy, security, and trust. Doi: 10.28991/ESJ-2022-06-06-018 Full Text: PDF
Russia’s Pivot to Asia and Russia-Vietnam Economic Relations in the Early 21st Century Bui Thi Huyen; Luu Van Quyet
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-017

Abstract

Russia began to refocus its attention on the Asia-Pacific region in 1994, but the policy of pivoting toward Asia was implemented dramatically in the second decade of the 21st century. Adjustments made by Russia to its foreign policy and practical activities carried out by Russia in the region have impacted Russia-Vietnam relations generally and their economic ties in particular. Based on a qualitative approach and analysis of secondary data collected from previously conducted research works, this paper focuses on the following issues: (1) Adjustments made by Russia to its foreign policy towards Asia-Pacific over the first two decades of the 21st century; (2) Position of Vietnam in Russia’s foreign policy towards Asia–Pacific; and (3) Impacts of Russia’s new foreign policy on the economic ties between Russia and Vietnam over the first two decades of the 21st century. Based on the results of the analysis and evaluation, Russia's Asia-Pacific policy has been adjusted, particularly in the second decade of the 21stcentury, when the country turned its attention to Southeast Asia. Due to the importance of this region, Russia is implementing a comprehensive Asia policy and promoting Russia's interests in this region. The Russian Federation considers Vietnam an important partner in its "Look to the East" policy and plays a leading role because Vietnam is a country with an important geostrategic position to connect both land and sea between Northeast Asia and Southeast Asia. This is reflected in the Russian Federation's upgrading of its strategic partnership with Vietnam from 2001 to a comprehensive strategic partnership in 2012. The adjustment of the Asia-Pacific policy of the Russian Federation has positively affected the relationship between Vietnam and Russia in the economic fields (trade and investment). Doi: 10.28991/ESJ-2022-06-06-017 Full Text: PDF
Professional Development of Rural Teachers Based on Digital Literacy Hadi Soekamto; Irina Nikolaeva; Abbas Abd Ali Abbood; Denis Grachev; Mikhail Kosov; Alexey Yumashev; Evgeniy Kostyrin; Natalia Lazareva; Angelina Kvitkovskaja; Natalya Nikitina
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-019

Abstract

This research focuses on the professional development of teachers in rural areas based on digital literacy. It aims to measure the existing digital literacy and competence of rural teachers in Indonesia, Russia, and the Middle East and to assess the extent of digital literacy training provided to rural teachers for their professional development in these regions. In pursuit of this objective, a quantitative research method was incorporated into the study. The survey was conducted specifically for the research, and SPSS was used for statistical analysis. The report reflected the challenges that digitalization faces in rural areas and the differences in the provision of digital literacy training in Indonesia, Russia, and the Middle East. Various limitations are identified as hampering the integration of digital literacy in underdeveloped areas, such as the lack of proper digital infrastructure. However, the situation was found to be somewhat better in the case of Russia, with the teachers reporting the provision of adequate hardware and infrastructure, which were lacking in the cases of Indonesia and the Middle East. The same pattern was found in the case of the provision of digital literacy training opportunities in Indonesia and the Middle East, which lag behind Russia. All in all, it is imperative to develop introductory courses for using the internet and their general application for teachers in rural areas. Doi: 10.28991/ESJ-2022-06-06-019 Full Text: PDF
The Role of Optic Flow and Gaze Direction on Postural Control Milena Raffi; Michela Persiani; Alessandro Piras
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-020

Abstract

Objective: The observers use the optic flow to control self-motion. However, the current state of knowledge indicates that it is difficult to understand how optic flow is used by the visual system without a direct measurement of the changes in the flow patterns caused by eye movements during natural behaviour. The purpose of this literature review is to highlight the importance of the integration between optic flow and eye movements for postural control. Methods: A literature review of the electronic papers through July 2022 was independently performed by three investigators. The selection of the studies was made by a search on PubMed, Scopus, and Google Scholar with two groups of selected keywords. We excluded papers performed on subjects with pathologies, children, and the elderly. Results: The results of this literature analysis highlight that eye movements are required to drive visual motion processing and heading perception in both static and dynamic contexts. Conclusion: Although we now know many neural mechanisms that process heading direction from the optic flow field, a consideration of optic flow patterns relative to gaze direction provides more detailed information on how the retinal flow field is used to control body balance. Doi: 10.28991/ESJ-2022-06-06-020 Full Text: PDF

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