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
{"title":"Factors Influencing Consumer Acceptance of Mobile Payment during the COVID-19 Pandemic & Usage Continuance Intent: A Quantitative Study","authors":"Syed Faizan Hussain Zaidi, Omar Ali, Marsela Thanasi-Boçe","doi":"10.28991/esj-2023-07-05-07","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-07","url":null,"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","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135849845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.28991/esj-2023-07-05-01
Talia Tene, Marco Guevara, Gabriel Moreano, Edisson Calderón, Nataly Bonilla García, Cristian Vacacela Gomez, Stefano Bellucci
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
{"title":"Modeling Plasmonics and Electronics in Semiconducting Graphene Nanostrips","authors":"Talia Tene, Marco Guevara, Gabriel Moreano, Edisson Calderón, Nataly Bonilla García, Cristian Vacacela Gomez, Stefano Bellucci","doi":"10.28991/esj-2023-07-05-01","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-01","url":null,"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","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135849850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.28991/esj-2023-07-05-010
Pedro Fernandes, Rúben Pereira, Guilherme Wiedenhöft
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
{"title":"The Effect of Organizational Cultures on Relationships between IT Governance and Individual Behavior","authors":"Pedro Fernandes, Rúben Pereira, Guilherme Wiedenhöft","doi":"10.28991/esj-2023-07-05-010","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-010","url":null,"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","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135850325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.28991/esj-2023-07-05-013
Ahmed Abo Eisheh, Moza Al-Ghaithi, Faris M. AL-Oqla
Administrative empowerment aims to enhance teamwork spirit and expand the scope of supervision by giving workers the necessary powers and ability to make decisions towards sustainable management and decentralization. This study aims to determine the effect of the administrative empowerment context on developing the leadership skills of the second-level leaders in the Council of Administrative Affairs for the Judiciary in the Sultanate of Oman towards a more sustainable modern environment in this sector. Analysis of variances (ANOVA) method was utilized to investigate the effect of several related factors, including delegation of authority, task forces, effective communication, and training. Results have revealed that the current level of administrative empowerment was found medium in the council. However, the level of leadership skills of the second-level leaders was found to be high, but with insignificant utilization. It was also found that there were statistically significant effects for all the dimensions of administrative empowerment on developing the leadership skills of the second-level leaders. The novel results of the impact of delegation of authority on the environment of the judiciary in Oman have several consequences in the field. It can practically change the delegation of authority in the council to enhance administrative empowerment and the skill development of second-level leaders in the judiciary sector. Doi: 10.28991/ESJ-2023-07-05-013 Full Text: PDF
{"title":"Administrative Empowerment Impact on Enhancing the Leadership Skills for Modern Environment of Judiciary","authors":"Ahmed Abo Eisheh, Moza Al-Ghaithi, Faris M. AL-Oqla","doi":"10.28991/esj-2023-07-05-013","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-013","url":null,"abstract":"Administrative empowerment aims to enhance teamwork spirit and expand the scope of supervision by giving workers the necessary powers and ability to make decisions towards sustainable management and decentralization. This study aims to determine the effect of the administrative empowerment context on developing the leadership skills of the second-level leaders in the Council of Administrative Affairs for the Judiciary in the Sultanate of Oman towards a more sustainable modern environment in this sector. Analysis of variances (ANOVA) method was utilized to investigate the effect of several related factors, including delegation of authority, task forces, effective communication, and training. Results have revealed that the current level of administrative empowerment was found medium in the council. However, the level of leadership skills of the second-level leaders was found to be high, but with insignificant utilization. It was also found that there were statistically significant effects for all the dimensions of administrative empowerment on developing the leadership skills of the second-level leaders. The novel results of the impact of delegation of authority on the environment of the judiciary in Oman have several consequences in the field. It can practically change the delegation of authority in the council to enhance administrative empowerment and the skill development of second-level leaders in the judiciary sector. Doi: 10.28991/ESJ-2023-07-05-013 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135849685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.28991/esj-2023-07-05-04
Lilis Yuningsih, Gede Angga Pradipta, Dadang Hermawan, Putu Desiana Wulaning Ayu, Dandy Pramana Hostiadi, Roy Rudolf Huizen
Imbalanced learning problems are a challenge faced by classifiers when data samples have an unbalanced distribution among classes. The Synthetic Minority Over-Sampling Technique (SMOTE) is one of the most well-known data pre-processing methods. Problems that arise when oversampling with SMOTE are the phenomenon of noise, small disjunct samples, and overfitting due to a high imbalance ratio in a dataset. A high level of imbalance ratio and low variance conditions cause the results of synthetic data generation to be collected in narrow areas and conflicting regions among classes and make them susceptible to overfitting during the learning process by machine learning methods. Therefore, this research proposes a combination between Radius-SMOTE and Bagging Algorithm called the IRS-BAG Model. For each sub-sample generated by bootstrapping, oversampling was done using Radius SMOTE. Oversampling on the sub-sample was likely to overcome overfitting problems that might occur. Experiments were carried out by comparing the performance of the IRS-BAG model with various previous oversampling methods using the imbalanced public dataset. The experiment results using three different classifiers proved that all classifiers had gained a notable improvement when combined with the proposed IRS-BAG model compared with the previous state-of-the-art oversampling methods. Doi: 10.28991/ESJ-2023-07-05-04 Full Text: PDF
{"title":"IRS-BAG-Integrated Radius-SMOTE Algorithm with Bagging Ensemble Learning Model for Imbalanced Data Set Classification","authors":"Lilis Yuningsih, Gede Angga Pradipta, Dadang Hermawan, Putu Desiana Wulaning Ayu, Dandy Pramana Hostiadi, Roy Rudolf Huizen","doi":"10.28991/esj-2023-07-05-04","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-04","url":null,"abstract":"Imbalanced learning problems are a challenge faced by classifiers when data samples have an unbalanced distribution among classes. The Synthetic Minority Over-Sampling Technique (SMOTE) is one of the most well-known data pre-processing methods. Problems that arise when oversampling with SMOTE are the phenomenon of noise, small disjunct samples, and overfitting due to a high imbalance ratio in a dataset. A high level of imbalance ratio and low variance conditions cause the results of synthetic data generation to be collected in narrow areas and conflicting regions among classes and make them susceptible to overfitting during the learning process by machine learning methods. Therefore, this research proposes a combination between Radius-SMOTE and Bagging Algorithm called the IRS-BAG Model. For each sub-sample generated by bootstrapping, oversampling was done using Radius SMOTE. Oversampling on the sub-sample was likely to overcome overfitting problems that might occur. Experiments were carried out by comparing the performance of the IRS-BAG model with various previous oversampling methods using the imbalanced public dataset. The experiment results using three different classifiers proved that all classifiers had gained a notable improvement when combined with the proposed IRS-BAG model compared with the previous state-of-the-art oversampling methods. Doi: 10.28991/ESJ-2023-07-05-04 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135849839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.28991/esj-2023-07-05-019
Abdulmalik Shehu Yaro, Filip Malý, Karel Malý
Fingerprint database clustering is one of the methods used to reduce localization time and improve localization accuracy in a fingerprint-based localization system. However, optimal selection of initial hyperparameters, higher computation complexity, and interpretation difficulty are among the performance-limiting factors of these clustering algorithms. This paper aims to improve localization time and accuracy by proposing a clustering algorithm that is extremely efficient and accurate at clustering fingerprint databases without requiring the selection of optimal initial hyperparameters, is computationally light, and is easily interpreted. The two closest wireless access points (APs) to the reference location where the fingerprint is generated, as well as the labels of the two APs in vector form, are used by the proposed algorithm to cluster fingerprints. The simulation result shows that the proposed clustering algorithm has a localization time that is at least 45% faster and a localization accuracy that is at least 25% higher than the k-means, fuzzy c-means, and lightweight maximum received signal strength clustering algorithms. The findings of this paper further demonstrate the real-time applicability of the proposed clustering algorithm in the context of indoor wireless localization, as low localization time and higher localization accuracy are the main objectives of any localization system. Doi: 10.28991/ESJ-2023-07-05-019 Full Text: PDF
{"title":"A Two-Nearest Wireless Access Point-Based Fingerprint Clustering Algorithm for Improved Indoor Wireless Localization","authors":"Abdulmalik Shehu Yaro, Filip Malý, Karel Malý","doi":"10.28991/esj-2023-07-05-019","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-019","url":null,"abstract":"Fingerprint database clustering is one of the methods used to reduce localization time and improve localization accuracy in a fingerprint-based localization system. However, optimal selection of initial hyperparameters, higher computation complexity, and interpretation difficulty are among the performance-limiting factors of these clustering algorithms. This paper aims to improve localization time and accuracy by proposing a clustering algorithm that is extremely efficient and accurate at clustering fingerprint databases without requiring the selection of optimal initial hyperparameters, is computationally light, and is easily interpreted. The two closest wireless access points (APs) to the reference location where the fingerprint is generated, as well as the labels of the two APs in vector form, are used by the proposed algorithm to cluster fingerprints. The simulation result shows that the proposed clustering algorithm has a localization time that is at least 45% faster and a localization accuracy that is at least 25% higher than the k-means, fuzzy c-means, and lightweight maximum received signal strength clustering algorithms. The findings of this paper further demonstrate the real-time applicability of the proposed clustering algorithm in the context of indoor wireless localization, as low localization time and higher localization accuracy are the main objectives of any localization system. Doi: 10.28991/ESJ-2023-07-05-019 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135850473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocular IPL therapy has recently been widely used for MGD, especially for patients not showing improvement with traditional therapies (warm compresses and lid scrubs) to clean debris and reduce bacterial overgrowth. Insights on the ocular microbiome and quantitative microbiome in MGD after a course of IPL could provide useful data on bacterial community monitoring and associated mechanisms linked with IPL. Ocular swabs were obtained from a severe MGD patient and age-sex matched healthy for metagenomics, followed by 16S rRNA gene sequencing and qPCR. Of 10 samples, including left and right eyes (el, er) of severe MGD females before (Db) and after 2-4 IPLs (Da2, Da3, and Da4) and the matched non-MGD females (H), both of ~40 years Using 16S rRNA gene sequencing as microbiota and combined 16S rRNA gene qPCR as quantitative microbiota revealed significant disperse in the microbiome structures of Db compared with Da and H (HOMOVA, p<0.001). Bacterial Propionibacterium acnes and unclassified taxa in the family Propionibacteriaceae and order Actinomycetales represented the core Db microbiota and were reduced after 2-4 IPLs in Da, making the Da microbiome and clinical (mucocutaneous junction, corneal, and conjunctival fluorescein score) closer to H (NMDS with Pearson’s correlation, p<0.05). The recovery of the Da microbiome also allowed Da metabolic potentials to be closer to H. Our findings first demonstrated the ocular microbiome dysbiosis in severe MGD, dispersed from Da and H, in Thai subjects, correlated with bacterial quantity and clinical MGD, including the mucocutaneous junction process. The results additionally provided taxa representing Db vs. Da and H and preliminarily underlie the idea that IPL could improve dysbiosis in the MGD microbiome. Doi: 10.28991/ESJ-2023-07-05-015 Full Text: PDF
{"title":"Ocular Microbiota of Severe Meibomian Gland Dysfunction (Chronic Dry Eyes) after Intense Pulsed Light (IPL)","authors":"Lampet Wongsaroj, Krit Pongpirul, Attawut Watthanathirakawi, Nattawut Wanumkarng, Anchana Iam-a-non, Deborah Dean, Naraporn Somboonna","doi":"10.28991/esj-2023-07-05-015","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-015","url":null,"abstract":"Ocular IPL therapy has recently been widely used for MGD, especially for patients not showing improvement with traditional therapies (warm compresses and lid scrubs) to clean debris and reduce bacterial overgrowth. Insights on the ocular microbiome and quantitative microbiome in MGD after a course of IPL could provide useful data on bacterial community monitoring and associated mechanisms linked with IPL. Ocular swabs were obtained from a severe MGD patient and age-sex matched healthy for metagenomics, followed by 16S rRNA gene sequencing and qPCR. Of 10 samples, including left and right eyes (el, er) of severe MGD females before (Db) and after 2-4 IPLs (Da2, Da3, and Da4) and the matched non-MGD females (H), both of ~40 years Using 16S rRNA gene sequencing as microbiota and combined 16S rRNA gene qPCR as quantitative microbiota revealed significant disperse in the microbiome structures of Db compared with Da and H (HOMOVA, p<0.001). Bacterial Propionibacterium acnes and unclassified taxa in the family Propionibacteriaceae and order Actinomycetales represented the core Db microbiota and were reduced after 2-4 IPLs in Da, making the Da microbiome and clinical (mucocutaneous junction, corneal, and conjunctival fluorescein score) closer to H (NMDS with Pearson’s correlation, p<0.05). The recovery of the Da microbiome also allowed Da metabolic potentials to be closer to H. Our findings first demonstrated the ocular microbiome dysbiosis in severe MGD, dispersed from Da and H, in Thai subjects, correlated with bacterial quantity and clinical MGD, including the mucocutaneous junction process. The results additionally provided taxa representing Db vs. Da and H and preliminarily underlie the idea that IPL could improve dysbiosis in the MGD microbiome. Doi: 10.28991/ESJ-2023-07-05-015 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135849684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.28991/esj-2023-07-05-016
José Moleiro Martins, Muhammad Farrukh Shahzad, Iqra Javed
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
{"title":"Assessing the Impact of Workplace Harassment on Turnover Intention: Evidence from the Banking Industry","authors":"José Moleiro Martins, Muhammad Farrukh Shahzad, Iqra Javed","doi":"10.28991/esj-2023-07-05-016","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-016","url":null,"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","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135849842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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 lev
{"title":"Accounting Information Security Control and Satisfaction of Accountants Regarding Accounting Information Systems","authors":"Vuong Thi Thanh Nhan, Nguyen Ngoc Khanh Dung, Tran Phuoc","doi":"10.28991/esj-2023-07-05-06","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-06","url":null,"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 lev","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135850326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.28991/esj-2023-07-05-020
Yadpirun Supharakonsakun, Yupaporn Areepong
The double exponentially weighted moving average (DEWMA) control chart, an extension of the EWMA control chart, is a useful statistical process control tool for detecting small shift sizes in the mean of processes with either independent or autocorrelated observations. In this study, we derived explicit formulas to compute the average run length (ARL) for a moving average of order q (MA(q)) process with exponential white noise running on a DEWMA control chart and verified their accuracy by comparison with the numerical integral equation (NIE) method. The results for both were in good agreement with the actual ARL. To investigate the efficiency of the proposed procedure on the DEWMA control chart, a performance comparison between it and the standard and modified EWMA control charts was also conducted to determine which provided the smallest out-of-control ARL value for several scenarios involving MA(q) processes. It was found that the DEWMA control chart provided the lowest out-of-control ARL for all cases of varying the exponential smoothing parameter and shift size values. To illustrate the efficacy of the proposed methodology, the presented approach was applied to datasets of the prices of several major industrial commodities in Thailand. The findings show that the DEWMA procedure performed well in almost all of the scenarios tested. Doi: 10.28991/ESJ-2023-07-05-020 Full Text: PDF
{"title":"ARL Evaluation of a DEWMA Control Chart for Autocorrelated Data: A Case Study on Prices of Major Industrial Commodities","authors":"Yadpirun Supharakonsakun, Yupaporn Areepong","doi":"10.28991/esj-2023-07-05-020","DOIUrl":"https://doi.org/10.28991/esj-2023-07-05-020","url":null,"abstract":"The double exponentially weighted moving average (DEWMA) control chart, an extension of the EWMA control chart, is a useful statistical process control tool for detecting small shift sizes in the mean of processes with either independent or autocorrelated observations. In this study, we derived explicit formulas to compute the average run length (ARL) for a moving average of order q (MA(q)) process with exponential white noise running on a DEWMA control chart and verified their accuracy by comparison with the numerical integral equation (NIE) method. The results for both were in good agreement with the actual ARL. To investigate the efficiency of the proposed procedure on the DEWMA control chart, a performance comparison between it and the standard and modified EWMA control charts was also conducted to determine which provided the smallest out-of-control ARL value for several scenarios involving MA(q) processes. It was found that the DEWMA control chart provided the lowest out-of-control ARL for all cases of varying the exponential smoothing parameter and shift size values. To illustrate the efficacy of the proposed methodology, the presented approach was applied to datasets of the prices of several major industrial commodities in Thailand. The findings show that the DEWMA procedure performed well in almost all of the scenarios tested. Doi: 10.28991/ESJ-2023-07-05-020 Full Text: PDF","PeriodicalId":11586,"journal":{"name":"Emerging Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135850466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：