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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 22 Documents
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Search results for , issue "Vol 7, No 5 (2023): October" : 22 Documents clear
The Effect of Organizational Cultures on Relationships between IT Governance and Individual Behavior Pedro Fernandes; Rúben Pereira; Guilherme Wiedenhöft
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-010

Abstract

Background: Organizations allocate substantial resources to Information Technology (IT) to ensure its long-term success. Hence, effective IT Governance (ITG) is crucial for business/IT alignment. However, factors like employee behavior and Organizational Culture (OC) play vital roles in applying ITG but remain underexplored. Objectives: This study aims to bridge this gap by examining the relationship between ITG and Organizational Citizenship Behavior (OCB). Additionally, it investigates the moderating effect of different cultures in the Organizational Culture Assessment Instrument (OCAI) on the ITG-OCB relationship. Methods/Analysis: A survey was conducted involving 513 employees from over 150 companies worldwide. The data were analyzed using partial least-squares structural equation modeling (PLS-SEM). Findings: This study confirms that institutionalizing ITG enhances OCB. Furthermore, a moderating effect was observed in most relationships, highlighting the influence of different OC types. Market and hierarchy cultures exhibited the most significant moderating effect. Novelty: This research contributes to the understanding of ITG's impact on employee behavior, extending the investigation to new dimensions of OCB and confirming the moderating role of OC. The practical implications of this study enable organizations to foster a culture that promotes ITG and cultivates employees' OCB, leading to improved business-IT alignment, enhanced IT-enabled value, and, ultimately, enhanced organizational effectiveness. Doi: 10.28991/ESJ-2023-07-05-010 Full Text: PDF
Program-Target Mechanisms to Ensure the Fiscal Balance of the Federal Constituent Alan K. Karaev; Oksana S. Gorlova; Vadim V. Ponkratov; Margarita L. Vasyunina; Andrey I. Masterov; Marina L. Sedova
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-05

Abstract

The purpose of this research is to study the possible impact of program costs associated with the development of the real sector of the regional economy on the fiscal balances of the constituent entities of the Russian Federation based on the wavelet analysis method. To achieve this purpose, we conducted a correlation analysis of the time-frequency dependence between the variables of the empirical model: the shares of program costs, the shares of non-repayable receipts, and the share of business taxes in the revenues of the consolidated budgets of constituent entities of the Russian Federation such as the Republic of Mordovia, the Udmurt Republic, Trans-Baikal Territory, and Kaliningrad Region for the period from 2001 to 2021. The research results indicate a significant impact exerted by the program costs of the regional budgets on the development of the real sector to ensure fiscal balance in the Republic of Mordovia, the Udmurt Republic, and the Trans-Baikal Territory on certain time scales. The novelty of this research lies in demonstrating the wavelet analysis effectiveness applied when conducting correlation analysis in cases where the relationships between the analyzed variables follow different patterns at different time horizons, and precisely wavelet analysis makes it possible to reveal the most significant characteristics of the relationship of variables. Earlier studies based on traditional methods ignored the time-frequency dependence between the variables of the empirical model. The practical significance of the research results lies in the fact that they determine the time scale on which the most effective measures and budgetary policy instruments applied within the framework of program-target mechanisms are provided to ensure fiscal balances in the regions. Doi: 10.28991/ESJ-2023-07-05-05 Full Text: PDF
Assessing the Impact of Workplace Harassment on Turnover Intention: Evidence from the Banking Industry José Moleiro Martins; Muhammad Farrukh Shahzad; Iqra Javed
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-016

Abstract

Workplace harassment is considered one of the main issues in the banking sector, which is subject to major human and labor rights violations. In the current global situation, harassed employees are prone to high turnover and become less productive due to undue stress and unstable mental health. Thus, this study aims to measure the influence of workplace harassment on the turnover intentions of employees in Pakistan's banking industry. This study assessed how workplace harassment affects employees' silence, mental stress, turnover intention, and the moderating role of psychological contract breaches. The study advises significant measures to prevent assault by retaining and empowering workers to work effectively. The data were collected through an adopted questionnaire from 416 respondents from the banking sector in Lahore, Pakistan. Variance-based structural equation modeling (PLS-SEM) was used. The results reveal that workplace harassment significantly and positively impacts turnover intention. Additionally, employee silence and mental stress have significantly mediated the relationship between workplace harassment and turnover intention. However, psychological contract breaches have significantly moderated the relationship between employee silence and workplace harassment. This study aims to promote equal employment opportunities where they can raise their voices about misconduct and lower the employee turnover ratio. Doi: 10.28991/ESJ-2023-07-05-016 Full Text: PDF
The Eye: A Light Weight Mobile Application for Visually Challenged People Using Improved YOLOv5l Algorithm Kalaiarasi Sonai Muthu Anbananthen; Sridevi Subbiah; Subiksha Gayathri Baskar; Ratchana Selvaraj; Jayakumar Krishnan; Subarmaniam Kannan; Deisy Chelliah
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-011

Abstract

The eye is an essential sensory organ that allows us to perceive our surroundings at a glance. Losing this sense can result in numerous challenges in daily life. However, society is designed for the majority, which can create even more difficulties for visually impaired individuals. Therefore, empowering them and promoting self-reliance are crucial. To address this need, we propose a new Android application called “The Eye” that utilizes Machine Learning (ML)-based object detection techniques to recognize objects in real-time using a smartphone camera or a camera attached to a stick. The article proposed an improved YOLOv5l algorithm to improve object detection in visual applications. YOLOv5l has a larger model size and captures more complex features and details, leading to enhanced object detection accuracy compared to smaller variants like YOLOv5s and YOLOv5m. The primary enhancement in the improved YOLOv5l algorithm is integrating L1 and L2 regularization techniques. These techniques prevent overfitting and improve generalization by adding a regularization term to the loss function during training. Our approach combines image processing and text-to-speech conversion modules to produce reliable results. The Android text-to-speech module is then used to convert the object recognition results into an audio output. According to the experimental results, the improved YOLOv5l has higher detection accuracy than the original YOLOv5 and can detect small, multiple, and overlapped targets with higher accuracy. This study contributes to the advancement of technology to help visually impaired individuals become more self-sufficient and confident. Doi: 10.28991/ESJ-2023-07-05-011 Full Text: PDF
Accounting Information Security Control and Satisfaction of Accountants Regarding Accounting Information Systems Vuong Thi Thanh Nhan; Nguyen Ngoc Khanh Dung; Tran Phuoc
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-06

Abstract

This study analyzes the factors affecting accountants’ satisfaction with the accounting information system in Vietnamese enterprises. The research results of this study show that the factors affecting user satisfaction with the accounting information system are directly influenced by four factors: the quality of the accounting workforce, perception of usefulness, system quality, and information quality. The quality of the accounting workforce is the factor that has the greatest direct impact on the accountant’s satisfaction. The second is the perceived usefulness factor. The third is the system quality factor, and the last is the information quality factor. In particular, the results of this study indicate that humans are an important factor. Knowledge of accounting information security control is directly proportional to accountants’ satisfaction with the accounting information system. The results can be used to recommend enterprises improve accountants’ satisfaction, helping to increase work efficiency. Objectives: The main objectives of this study include: (1) Identifying the factors influencing the satisfaction of accountants with the accounting information system in enterprises in Vietnam. (2) Determining the relationship between accounting information security and the satisfaction of accountants with the accounting information system. (3) Providing recommendations to enhance the satisfaction of accountants with the accounting information system in enterprises in Vietnam. Methods: This study uses qualitative and quantitative research. During the qualitative process, this study analyzed related works. Group discussions are used to provide initial assessments of measurement scales, concepts, and research hypotheses and to adjust, supplement, and explore influencing factors. The questionnaire and the research model are reviewed by the experts. Quantitative research involved data collection through survey investigations based on a designed questionnaire via Google Forms. The formal research survey was conducted using a stratified sampling method, encompassing businesses from various sectors. The quantitative research employed the Cronbach Alpha reliability test for the measurement scales, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and the use of structural equation modeling (SEM) to assess the structural relationships. Descriptive statistics and tests of significance were also utilized. Findings: The results of the study on the factors affecting user satisfaction with an accounting information system are directly influenced by four factors: system quality, information quality, quality of accountants, and perceived usefulness. The quality of the accounting workforce has the greatest direct impact on the accountant’s satisfaction, followed by perceived usefulness, system quality, and information quality factors. Novelty:This study discovered a relationship between knowledge of accounting information security and the level of satisfaction among accountants regarding information technology systems in enterprises in Vietnam. This finding can assist enterprises in implementing strategies to provide more training on accounting information security for their employees. Doi: 10.28991/ESJ-2023-07-05-06 Full Text: PDF
Modeling Plasmonics and Electronics in Semiconducting Graphene Nanostrips Talia Tene; Marco Guevara; Gabriel Moreano; Edisson Calderón; Nataly Bonilla García; Cristian Vacacela Gomez; Stefano Bellucci
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-01

Abstract

In recent decades, both academia and industry have shown noteworthy interest in investigating the semiconducting properties of graphene. Nevertheless, the lack of a suitable bandgap in graphene has restricted its practical applications in the current semiconductor industry. To overcome this limitation, graphene micro/nano-strips have been actively explored. The focus of the present study centers on modeling the electronic and plasmonic characteristics of graphene strips with varying widths: 2.7, 100, 135 nm, and 4 m. This analysis is conducted at ultralow energies (0.3 eV, or ~73 THz). We employ conventional density functional computations to estimate the Fermi velocity of graphene, refining the results via the GW approximation. Utilizing the accurate Fermi velocity, we employ a semi-analytical model to explore the ground state and plasmon properties (frequency and dispersion) of these graphene strips. Notably, this approach effectively replicates the density of states observed in narrow experimental graphene nano-strips (2.7 nm) grown on Ge(001) and, similarly, reproduces the plasmon spectrum found in synthesized graphene microstrips (4 μm) on Si/SiO2. Interestingly, our study also offers insights into the potential application of this approach in comprehending the plasmon frequency and plasmon dispersion of graphene nano-strips (~135 nm) acquired through liquid-phase exfoliation. The outcomes of this investigation present compelling evidence that the properties of graphene-based strips can be customized to fulfill specific requirements and applications. These findings hold significant promise for advancing graphene-based technologies, bridging the gap between fundamental research and tangible applications. Doi: 10.28991/ESJ-2023-07-05-01 Full Text: PDF
Analysis of Service Quality Factors of the Regional Planning Agency of Aceh T. Aznal Zahri; Abdul Rahman Lubis; Muslim A. Djalil; . Syafruddin
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-017

Abstract

Objective: This study examines how collaborative public innovation, transformational leadership, knowledge acquisition, employee competencies, innovative climate, and organizational performance affect service quality at the Regional Planning Agency of Aceh. Methods/Analysis: The study used quantitative analysis, qualitative interviews, and surveys. The data were analyzed using the SERVQUAL model and scatter analysis approaches. The correlation between variables was analyzed by Spearman rho correlation, while Kruskal-Wallis analyzed the significance between variables. Finding: The SERVQUAL model shows the Regional Planning Agency of Aceh provides good quality services; 98% of respondents gave an excellent rating, and 12% were good. Scatter analysis shows that the agency consistently meets expectations. Spearman rho correlation analysis shows that all determinant factor variables have a strong relationship with improving service quality and are also significant between variables (p<0.05). Novelty/Improvement: Improving the quality of the organization (Regional Planning Agency of Aceh) is primarily determined by the knowledge acquisition factor, which is followed by collaborative public innovation, transformational leadership, employee competencies, and an innovative climate. Doi: 10.28991/ESJ-2023-07-05-017 Full Text: PDF
A Socio-Legal Study on Vaccine Tourism in the Context of Covid-19 Travel Restrictions Mohammad Owais Farooqui; Shadi A. Alshdaifat; Mohd Imran Siddiquei
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-012

Abstract

The COVID-19 pandemic has affected the tourism industry harshly. The most effective way to steer clear of the virus is global vaccination. A novel concept of vaccine tourism arises from vaccine manufacturing corporations' limited stock and production capacity. The current paper aims to demystify the socio-legal and ethical underpinnings of vaccine tourism as well as analyze the restrictions on international travel imposed by major countries. The research critically examines key issues considering the literature's current arguments and integrates the current developments and challenges in the field of vaccine tourism. The paper addresses the fact that, in the current circumstances of travel restrictions, insufficiency of raw materials, ambiguous policies, vaccine passport authenticity, skewed distribution, and scarcity of vaccines around the world, the implementation of vaccine tourism is a big challenge. The study tries to understand the emerging concept of vaccine tourism and the major challenges to its growth. Vaccine tourism may be an instrument to revive the tourism sector post-COVID; therefore, understanding the current emerging issues around it would be significant for tourism literature. Doi: 10.28991/ESJ-2023-07-05-012 Full Text: PDF
Factors Influencing Consumer Acceptance of Mobile Payment during the COVID-19 Pandemic & Usage Continuance Intent: A Quantitative Study Syed Faizan Hussain Zaidi; Omar Ali; Marsela Thanasi-Boçe
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-07

Abstract

The presence of COVID-19 has transformed the business sector’s paradigm and prompted a speedy consumption of mobile payment software systems of diverse ranges. Corporate sectors and businesses across the globe brought a shift to offer mobile payment methods; consequently, consumers were urged to maximize the use of mobile payment throughout the pandemic. The present research aims to investigate the factors that might influence consumers' intent to accept mobile payments and their relationships during COVID-19. The technology adoption model and the unified theory of acceptance and use of technology were employed in this proposed mobile payment adoption framework. A quantitative research approach was identified as a suitable method for this research. An online survey was administered, and 304 participants responded to the questionnaire. The results of the data analysis revealed statistically significant relationships and a positive impact of the factors perceived performance, social influence, consumers’ satisfaction, and perceived usefulness on consumers’ usage continuation intention. However, the results identified that factors such as transaction risk didn’t affect perceived usefulness, and financial transaction transparency didn’t affect consumers’ usage intention. This study makes a substantial contribution to the consumers’ technology acceptance literature in terms of validating a proposed theoretical framework that highlights the factors that influence consumers’ mobile payment usage intentions. As this study was conducted at a later stage of the COVID-19 pandemic, it adds value to the existing literature by providing insights to business managers on the factors influencing mobile payment usage. Considering the practical perspective, this study offers evidence of the essential elements that mobile payment service designers and marketers should consider. Doi: 10.28991/ESJ-2023-07-05-07 Full Text: PDF
Interval Estimation of the Dependence Parameter in Bivariate Clayton Copulas Unyamanee Kummaraka; Patchanok Srisuradetchai
Emerging Science Journal Vol 7, No 5 (2023): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-05-02

Abstract

In various disciplines, discerning dependencies between variables remains a crucial undertaking. While correlation measures like Pearson, Spearman, and Kendall provide insight into the degree of two-variable relationships, they fall short of revealing the intricate structure of dependencies between these variables. The Clayton copula, known for its flexible attributes, becomes instrumental in unveiling this dependency structure. This paper aims to advance knowledge by providing an explicit formula for creating Wald confidence intervals (CIs) for the dependence parameter in a bivariate Clayton copula, along with a mathematical derivation of the observed Fisher information. In comparison, we also propose likelihood CIs, whose performance we examine in simulation studies using both coverage probability and average length of CIs as performance indicators. Our findings reveal that in scenarios characterized by small sample sizes, likelihood-based CIs, despite their slightly more complex computational requirements, outperform Wald CIs, yielding a coverage probability more proximate to the nominal confidence level of 0.95. However, in situations involving large samples and a dependence parameter distant from zero, both Wald and likelihood-based CIs demonstrate comparable utility. For real-world data applications, the daily closing prices of two cryptocurrencies are analyzed using the proposed CIs. Doi: 10.28991/ESJ-2023-07-05-02 Full Text: PDF

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