Pub Date : 2024-06-07DOI: 10.5267/j.ijdns.2024.3.019
Hatem Alqudah, Mohamad Ahmad Saleem Khasawneh
This study employed quantitative methods to evaluate the influence of adaptive learning technology on the cognitive flexibility of students with special needs. Participants were recruited from special education schools using a purposive selection strategy. The Wisconsin Card Sorting Test (WCST) was utilized as a tool to assess cognitive flexibility. The data was analyzed using descriptive statistics, paired-samples t-test, correlation analysis, and regression analyses. The findings demonstrated a notable enhancement in WCST scores after the intervention, suggesting that adaptive learning technologies have a beneficial effect on cognitive flexibility. Regression studies revealed that various types of adaptive learning technologies had varied levels of efficacy, with Tech A showing the most significant beneficial impact. Surprisingly, demographic factors such as age, gender, and educational attainment demonstrated little and statistically insignificant associations with alterations in cognitive flexibility levels. The findings emphasize the potential of adaptive learning technologies as effective therapies for improving cognitive flexibility in kids with special needs. It underscores the significance of evaluating specific characteristics and design principles to maximize their efficacy.
本研究采用定量方法评估自适应学习技术对有特殊需要学生认知灵活性的影响。研究采用有目的的选择策略，从特殊教育学校招募参与者。威斯康星卡片分类测试（WCST）被用作评估认知灵活性的工具。数据分析采用了描述性统计、配对样本 t 检验、相关分析和回归分析。研究结果表明，干预后 WCST 分数明显提高，这表明自适应学习技术对认知灵活性产生了有益的影响。回归研究显示，各种类型的自适应学习技术具有不同程度的效果，其中技术 A 的效果最为显著。令人惊讶的是，年龄、性别和教育程度等人口统计学因素与认知灵活性水平的改变关系不大，在统计学上也不明显。研究结果强调了自适应学习技术作为有效疗法改善有特殊需要儿童认知灵活性的潜力。它强调了评估具体特征和设计原则以最大限度地发挥其功效的重要性。
{"title":"Assessing cognitive flexibility: Quantitative insights into the impact of adaptive learning technologies in special education","authors":"Hatem Alqudah, Mohamad Ahmad Saleem Khasawneh","doi":"10.5267/j.ijdns.2024.3.019","DOIUrl":"https://doi.org/10.5267/j.ijdns.2024.3.019","url":null,"abstract":"This study employed quantitative methods to evaluate the influence of adaptive learning technology on the cognitive flexibility of students with special needs. Participants were recruited from special education schools using a purposive selection strategy. The Wisconsin Card Sorting Test (WCST) was utilized as a tool to assess cognitive flexibility. The data was analyzed using descriptive statistics, paired-samples t-test, correlation analysis, and regression analyses. The findings demonstrated a notable enhancement in WCST scores after the intervention, suggesting that adaptive learning technologies have a beneficial effect on cognitive flexibility. Regression studies revealed that various types of adaptive learning technologies had varied levels of efficacy, with Tech A showing the most significant beneficial impact. Surprisingly, demographic factors such as age, gender, and educational attainment demonstrated little and statistically insignificant associations with alterations in cognitive flexibility levels. The findings emphasize the potential of adaptive learning technologies as effective therapies for improving cognitive flexibility in kids with special needs. It underscores the significance of evaluating specific characteristics and design principles to maximize their efficacy.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371418","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 : 2023-01-01DOI: 10.5267/j.ijdns.2022.11.003
R. Masa’deh, D. Almajali, Ala'aldin Alrowwad, Rami Suleiman Alkhawaldeh, Sufian M Khwaldeh, B. Obeidat
E-learning results from the integration of technology and education and has become an effective learning medium today. E-learning courses and systems with various services are on the rise owing to its importance. E-learning systems should be evaluated to assure successful delivery, effective usage, and positive impacts on learners. A holistic model that identifies various levels of success on a vast range of success determinants was proposed. The model was empirically validated using data obtained from 724 e-learning student users in Jordan. Structural Equation Modelling (SEM) was used in data analyses. Results showed that perceived usefulness of information systems, user training, system quality, and management support have positive effects on user’s behavioral intention; whereas perceived ease of use has not. Also, SEM displayed that user behavioral intention has a positive effect on information systems use, use on student satisfaction, and the latter on student loyalty. Machine Learning (ML) methods produce high correlation values reaching up to 80% in predicting Behavior Intention (BI) from the input factors, and student loyalty from student satisfaction factors. This indicates that the ML are promising techniques to forecast the future targets based on the input independent features.
{"title":"Evaluation of factors affecting university students' satisfaction with e-learning systems used dur-ing Covid-19 crisis: A field study in Jordanian higher education institutions","authors":"R. Masa’deh, D. Almajali, Ala'aldin Alrowwad, Rami Suleiman Alkhawaldeh, Sufian M Khwaldeh, B. Obeidat","doi":"10.5267/j.ijdns.2022.11.003","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.11.003","url":null,"abstract":"E-learning results from the integration of technology and education and has become an effective learning medium today. E-learning courses and systems with various services are on the rise owing to its importance. E-learning systems should be evaluated to assure successful delivery, effective usage, and positive impacts on learners. A holistic model that identifies various levels of success on a vast range of success determinants was proposed. The model was empirically validated using data obtained from 724 e-learning student users in Jordan. Structural Equation Modelling (SEM) was used in data analyses. Results showed that perceived usefulness of information systems, user training, system quality, and management support have positive effects on user’s behavioral intention; whereas perceived ease of use has not. Also, SEM displayed that user behavioral intention has a positive effect on information systems use, use on student satisfaction, and the latter on student loyalty. Machine Learning (ML) methods produce high correlation values reaching up to 80% in predicting Behavior Intention (BI) from the input factors, and student loyalty from student satisfaction factors. This indicates that the ML are promising techniques to forecast the future targets based on the input independent features.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70769940","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 : 2023-01-01DOI: 10.5267/j.ijdns.2022.10.005
Y. Yusriadi, Rusnaedi Rusnaedi, N. Siregar, Suci Megawati, Geminastiti Sakkir
In recent years, technology adoption in Indonesia has begun to use advances in artificial intelligence (AI) to improve services. This change has had a significant impact on several institutions. This article provides an overview of the many institutions in Indonesia that are leveraging AI. A comprehensive review of 35 papers from the Scopus database was used to develop our methodology. Education, health care, ICT, licensing, transportation, and economic services are all well-represented in the existing literature, which puts AI into practice in various disciplines. We provide a framework for organizing governance research that identifies gaps in the existing literature and suggests future directions for research utilizing technology.
{"title":"Implementation of artificial intelligence in Indonesia","authors":"Y. Yusriadi, Rusnaedi Rusnaedi, N. Siregar, Suci Megawati, Geminastiti Sakkir","doi":"10.5267/j.ijdns.2022.10.005","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.10.005","url":null,"abstract":"In recent years, technology adoption in Indonesia has begun to use advances in artificial intelligence (AI) to improve services. This change has had a significant impact on several institutions. This article provides an overview of the many institutions in Indonesia that are leveraging AI. A comprehensive review of 35 papers from the Scopus database was used to develop our methodology. Education, health care, ICT, licensing, transportation, and economic services are all well-represented in the existing literature, which puts AI into practice in various disciplines. We provide a framework for organizing governance research that identifies gaps in the existing literature and suggests future directions for research utilizing technology.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70770382","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 : 2023-01-01DOI: 10.5267/j.ijdns.2022.12.014
P. I. Setyoko, M. Faozanudin, W. Wahyuningrat, Bambang Tri Harsanto, Simin Simin, A. Isna, Abdul Rohman
The study investigates the effects of system quality and service quality on e-filing user satisfaction as well as the effect of information quality on e-filing user satisfaction through quantitative research. The variables in this study consist of the dependent variable, namely e-filing user satisfaction, while the independent variables are system quality, information quality, and service quality. The population in this study is the taxpayer. The sample in this study includes 340 taxpayer respondents in Indonesia who were calculated using the Slovin formula, with the research instrument in the form of a questionnaire measured using a Likert scale 1 to 7. The sample collection technique in this study uses the incidental sampling method, with the research instrument using an online questionnaire distributed via social media. The sample collection method in this study used incidental sampling. The data analysis technique in this study used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The results of this study indicate that system quality has a positive effect on e-filing user satisfaction. Information quality also has a positive effect on e-filing user satisfaction. Finally, service quality has a positive effect on e-filing user satisfaction.
{"title":"The role of e-billing and e-SPT implementation on user satisfaction of e-filing taxpayers","authors":"P. I. Setyoko, M. Faozanudin, W. Wahyuningrat, Bambang Tri Harsanto, Simin Simin, A. Isna, Abdul Rohman","doi":"10.5267/j.ijdns.2022.12.014","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.12.014","url":null,"abstract":"The study investigates the effects of system quality and service quality on e-filing user satisfaction as well as the effect of information quality on e-filing user satisfaction through quantitative research. The variables in this study consist of the dependent variable, namely e-filing user satisfaction, while the independent variables are system quality, information quality, and service quality. The population in this study is the taxpayer. The sample in this study includes 340 taxpayer respondents in Indonesia who were calculated using the Slovin formula, with the research instrument in the form of a questionnaire measured using a Likert scale 1 to 7. The sample collection technique in this study uses the incidental sampling method, with the research instrument using an online questionnaire distributed via social media. The sample collection method in this study used incidental sampling. The data analysis technique in this study used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The results of this study indicate that system quality has a positive effect on e-filing user satisfaction. Information quality also has a positive effect on e-filing user satisfaction. Finally, service quality has a positive effect on e-filing user satisfaction.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70770738","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 : 2023-01-01DOI: 10.5267/j.ijdns.2022.9.008
P. Prasetyo, A. Azwardi, N. R. Kistanti
This study aims to evaluate the roles of Gender Equity and Social Inclusion (GESI) and institutions, as drivers of green entrepreneurship and sustainable development goals (SDGs). A systematic and holistic integrated approach was used in encouraging the developmental processes, with both primary and secondary data qualitatively and quantitatively utilized. Mixed methods were also used through two phases, namely exploratory and explanatory design. The results showed that the role of GESI and community institutions encouraged the improvement of green entrepreneurship, whose role was one of the win-win solutions in mitigating the impact of global climate change and encouraging the achievement of the SDGs. Based on the limitations, the awareness of every individual was globally required on the importance of entrepreneurial trends. These results are expected to increase the knowledge and understanding of green entrepreneurship importance, as an alternative to contemporary global business.
{"title":"Gender equality and social inclusion (GESI) and institutions as key drivers of green entrepreneurship","authors":"P. Prasetyo, A. Azwardi, N. R. Kistanti","doi":"10.5267/j.ijdns.2022.9.008","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.9.008","url":null,"abstract":"This study aims to evaluate the roles of Gender Equity and Social Inclusion (GESI) and institutions, as drivers of green entrepreneurship and sustainable development goals (SDGs). A systematic and holistic integrated approach was used in encouraging the developmental processes, with both primary and secondary data qualitatively and quantitatively utilized. Mixed methods were also used through two phases, namely exploratory and explanatory design. The results showed that the role of GESI and community institutions encouraged the improvement of green entrepreneurship, whose role was one of the win-win solutions in mitigating the impact of global climate change and encouraging the achievement of the SDGs. Based on the limitations, the awareness of every individual was globally required on the importance of entrepreneurial trends. These results are expected to increase the knowledge and understanding of green entrepreneurship importance, as an alternative to contemporary global business.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70775365","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 : 2023-01-01DOI: 10.5267/j.ijdns.2023.1.010
Maher Al-khateeb, M. Al-Mousa, Ala’a Saeb Al-Sherideh, D. Almajali, Mahmoud Asassfeha, Hayel Khafajeh
Social Engineering (SE) Attacks against information systems continue to pose a potentially devastating impact. Security information systems are becoming increasingly significant as the number of SE incidents rapidly increased and became more aggressive than before. The World Wide Web (WWW) has evolved for information exchange and knowledge-sharing. It enables the sharing of information in a timely, effective, and transparent manner. Identity theft and identity misuse are two sides of cybercrime in which hackers and fraudulent users collect sensitive information from current legal users in order to perform fraud or deceit for financial gain. Malicious links are used as phishing methods, in which malicious links are planted beneath legitimate-looking links. As the number of web pages grows, the number of malicious web pages and the attacks of such become more complex. In this paper, we provide a method for identifying malicious web pages using a crawling and classification approach that helps to support the automatic discovery of the malicious links. The proposed approach can successfully complete the crawling session even if the page requires partial page refreshment and authentication credentials. The evaluation of the proposed approach shows a higher accuracy compared to an existing approach with an overall accuracy of 72% in three custom applications. Moreover, the proposed approach will calculate the significance and the impact severances of each link on the website and it better differentiates malicious web pages and normal links. The results of the proposed approach will also help in providing a set of recommendations which can increase the awareness level of the end-users, website administrators on how to better deal with these types of SE attacks.
{"title":"Awareness model for minimizing the effects of social engineering attacks in web applications","authors":"Maher Al-khateeb, M. Al-Mousa, Ala’a Saeb Al-Sherideh, D. Almajali, Mahmoud Asassfeha, Hayel Khafajeh","doi":"10.5267/j.ijdns.2023.1.010","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.1.010","url":null,"abstract":"Social Engineering (SE) Attacks against information systems continue to pose a potentially devastating impact. Security information systems are becoming increasingly significant as the number of SE incidents rapidly increased and became more aggressive than before. The World Wide Web (WWW) has evolved for information exchange and knowledge-sharing. It enables the sharing of information in a timely, effective, and transparent manner. Identity theft and identity misuse are two sides of cybercrime in which hackers and fraudulent users collect sensitive information from current legal users in order to perform fraud or deceit for financial gain. Malicious links are used as phishing methods, in which malicious links are planted beneath legitimate-looking links. As the number of web pages grows, the number of malicious web pages and the attacks of such become more complex. In this paper, we provide a method for identifying malicious web pages using a crawling and classification approach that helps to support the automatic discovery of the malicious links. The proposed approach can successfully complete the crawling session even if the page requires partial page refreshment and authentication credentials. The evaluation of the proposed approach shows a higher accuracy compared to an existing approach with an overall accuracy of 72% in three custom applications. Moreover, the proposed approach will calculate the significance and the impact severances of each link on the website and it better differentiates malicious web pages and normal links. The results of the proposed approach will also help in providing a set of recommendations which can increase the awareness level of the end-users, website administrators on how to better deal with these types of SE attacks.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70775551","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 : 2023-01-01DOI: 10.5267/j.ijdns.2023.2.003
Fayez Alazemi, A. Al-Mulla, M. Al-Akhras, Mohammed Alawairdhi, Marwah Al-Masri, Hani Omar, H. Alshareef
The Internet of Things (IoT) is one of the most evolving technologies, which has a major impact on our daily life. Almost all new devices will have a feature to be connected and controlled over the Internet. Several applications are utilizing IoT to enhance routine processes and actions efficiently. The Internet of Vehicles (IoV) evolved from IoT, where vehicles communicate with each other or with other objects to have a better transportation environment to reduce the number of accidents and save people’s lives. IoV is considered new fields that need security requirements including confidentiality, integrity, availability, authentication, and trust. Trust management technique is used to validate entities behaviors automatically against well-defined policies. The major categories of trust model in IoV are based on entity, data, or a combination of both. This paper proposes a trust model which is based on a combination of entity and data to define the trust of vehicles and utilize the public key infrastructure to distribute certificates to vehicles. Based on certificate validation, messages will be trusted and accepted. This model has been tested across different simulation scenarios which showed that the proposed model detected malicious vehicles and trusted vehicles did not accept their messages.
物联网(IoT)是发展最快的技术之一，它对我们的日常生活产生了重大影响。几乎所有的新设备都具有通过互联网连接和控制的功能。一些应用正在利用物联网来有效地增强日常流程和操作。车联网(Internet of Vehicles, IoV)是由物联网发展而来的，车辆之间或与其他物体之间进行通信，以获得更好的交通环境，以减少事故的发生，挽救人们的生命。车联网被认为是需要保密性、完整性、可用性、认证和信任等安全要求的新领域。信任管理技术用于根据定义良好的策略自动验证实体的行为。基于实体的信任模型、基于数据的信任模型以及基于实体和数据的信任模型。本文提出了一种基于实体和数据相结合的信任模型来定义车辆的信任，并利用公钥基础设施向车辆分发证书。基于证书验证，消息将被信任和接受。该模型已经在不同的仿真场景中进行了测试，结果表明该模型可以检测到恶意车辆和不接受其消息的可信车辆。
{"title":"A trust management model in internet of vehicles","authors":"Fayez Alazemi, A. Al-Mulla, M. Al-Akhras, Mohammed Alawairdhi, Marwah Al-Masri, Hani Omar, H. Alshareef","doi":"10.5267/j.ijdns.2023.2.003","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.2.003","url":null,"abstract":"The Internet of Things (IoT) is one of the most evolving technologies, which has a major impact on our daily life. Almost all new devices will have a feature to be connected and controlled over the Internet. Several applications are utilizing IoT to enhance routine processes and actions efficiently. The Internet of Vehicles (IoV) evolved from IoT, where vehicles communicate with each other or with other objects to have a better transportation environment to reduce the number of accidents and save people’s lives. IoV is considered new fields that need security requirements including confidentiality, integrity, availability, authentication, and trust. Trust management technique is used to validate entities behaviors automatically against well-defined policies. The major categories of trust model in IoV are based on entity, data, or a combination of both. This paper proposes a trust model which is based on a combination of entity and data to define the trust of vehicles and utilize the public key infrastructure to distribute certificates to vehicles. Based on certificate validation, messages will be trusted and accepted. This model has been tested across different simulation scenarios which showed that the proposed model detected malicious vehicles and trusted vehicles did not accept their messages.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70775900","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 : 2023-01-01DOI: 10.5267/j.ijdns.2023.3.005
A. Aburayya, S. Salloum, Khaled Younis Alderbashi, Fanar Shwedeh, Yara Shaalan, Raghad M. Alfaisal, Sawsan JM Malaka, K. Shaalan
The metaverse is an imaginary network of parallel universes. Using this technology might liven up dull lecture halls. By expanding synchronous communication into the "metaverse," many individuals may have meaningful conversations and exchange perspectives. This research focuses on finding out how medical students in the UAE feel about the metaverse system. The conceptual model incorporates elements from the Technology Acceptance Model (TAM), including perceived value and perceived ubiquity as adoption determinants. To test the validity of the suggested framework, a survey was developed and distributed to 369 full-time students at one of the universities in the United Arab Emirates (UAE). Machine learning (ML) and structural equation modeling using partial least squares (PLS-SEM) are used for data analysis. According to the results, the extent to which users saw value in and adoption of the metaverse system was a significant factor in whether or not they intended to participate. This study was helpful since it elucidated the relative significance of various healthcare components, allowing professionals to prioritize their efforts better.
{"title":"SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE","authors":"A. Aburayya, S. Salloum, Khaled Younis Alderbashi, Fanar Shwedeh, Yara Shaalan, Raghad M. Alfaisal, Sawsan JM Malaka, K. Shaalan","doi":"10.5267/j.ijdns.2023.3.005","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.3.005","url":null,"abstract":"The metaverse is an imaginary network of parallel universes. Using this technology might liven up dull lecture halls. By expanding synchronous communication into the \"metaverse,\" many individuals may have meaningful conversations and exchange perspectives. This research focuses on finding out how medical students in the UAE feel about the metaverse system. The conceptual model incorporates elements from the Technology Acceptance Model (TAM), including perceived value and perceived ubiquity as adoption determinants. To test the validity of the suggested framework, a survey was developed and distributed to 369 full-time students at one of the universities in the United Arab Emirates (UAE). Machine learning (ML) and structural equation modeling using partial least squares (PLS-SEM) are used for data analysis. According to the results, the extent to which users saw value in and adoption of the metaverse system was a significant factor in whether or not they intended to participate. This study was helpful since it elucidated the relative significance of various healthcare components, allowing professionals to prioritize their efforts better.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70776131","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 : 2023-01-01DOI: 10.5267/j.ijdns.2023.3.020
Asaad Alsakarneh, Bilal Eneizan, B. Fraihat, Hebah Zaki Makhamreh, S. AL-Gharaibeh, Khaled M. K. Alhyasat
An increased sense of job performance and better job satisfaction can be achieved by receiving social support. In order to fulfil this purpose, this study aimed to determine the relationship between social support on the one hand and job performance and job satisfaction on the other hand for the Jordanian insurance industry employees. Survey data were gathered from 269 employees from the Jordanian insurance industry. The PLS 3.0 software was used to process data using the structural equation modelling method. The study’s findings revealed that all social support factors were positively and significantly related to job performance and job satisfaction, including manager support, peer support, friends support, and others’ support. Hence, job performance and job satisfaction in the Jordanian insurance industry can be predicted by studying the existence of social support. The study’s findings concluded that the higher the social support, the higher the job performance and job satisfaction.
{"title":"An investigation into the effect of social support on job performance and job satisfaction in the Jordanian insurance industry","authors":"Asaad Alsakarneh, Bilal Eneizan, B. Fraihat, Hebah Zaki Makhamreh, S. AL-Gharaibeh, Khaled M. K. Alhyasat","doi":"10.5267/j.ijdns.2023.3.020","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.3.020","url":null,"abstract":"An increased sense of job performance and better job satisfaction can be achieved by receiving social support. In order to fulfil this purpose, this study aimed to determine the relationship between social support on the one hand and job performance and job satisfaction on the other hand for the Jordanian insurance industry employees. Survey data were gathered from 269 employees from the Jordanian insurance industry. The PLS 3.0 software was used to process data using the structural equation modelling method. The study’s findings revealed that all social support factors were positively and significantly related to job performance and job satisfaction, including manager support, peer support, friends support, and others’ support. Hence, job performance and job satisfaction in the Jordanian insurance industry can be predicted by studying the existence of social support. The study’s findings concluded that the higher the social support, the higher the job performance and job satisfaction.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70776358","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 : 2023-01-01DOI: 10.5267/j.ijdns.2023.3.024
Umul Hidayati, S. Sumarni, S. Suprapto, Lisa’diyah Ma’rifataini, Farida Hanun, O. Taufik, Warnis Warnis
The purpose of this study was to investigate how public sector workers in Indonesia use e-learning systems and how they can benefit from them. The researchers analyzed five variables that contribute to the effectiveness of e-learning: system reliability, information sharing, service quality, user satisfaction, and net benefit. Structural Equation Model analysis was used to analyze the data collected from 203 respondents who were public sector employees in Indonesia. The findings of this study revealed that information sharing, and service quality significantly impact user satisfaction, which in turn has a significant effect on net benefits. Additionally, system reliability was found to significantly impact user satisfaction. This theoretical implication suggests that there is a direct relationship between the level of information sharing and service quality provided by a public sector organization and the level of user satisfaction experienced by its usage of e-learning. The practical implication of the finding is that public sector organizations must prioritize the reliability of their e-learning systems. This includes investing in regular maintenance and updates, ensuring proper testing and quality control procedures, and addressing any issues or downtime quickly and effectively.
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