Pub Date : 2023-01-01DOI: 10.5267/j.ijdns.2022.8.007
N. Nurchayati, Tri Widayati, S. Sulistiyani, S. Suprapti
This study attempts to analyze the antecedents of e-commerce user behavior and their effect on future purchase intentions. Theoretical exploration shows that the antecedents used in the behavior of e-commerce users are perceived self-efficacy, perceived ease of use and perceived usefulness. The study uses the behavior of e-commerce users as a mediating variable. The study was also conducted using a quantitative method, by distributing questionnaires to 250 e-commerce users in Indonesia. The analysis technique used is Structural Equation Modeling (SEM) with SmartPLS software. The results show that perceived self-efficacy had a positive effect on perceived ease of use and perceived usefulness. These three antecedents in turn have a positive and significant effect on future e-commerce shopping interest by using mediation of user behavior. The results are theoretically useful for deepening Technology Acceptance Model exploration by estimating future buying behavior and interest. Practically, this study encourages e-commerce platform website developers to increase the ease and usefulness to increase the positive behavior of users in purchasing products.
{"title":"Antecedents of user attitude towards e-commerce and future purchase intention","authors":"N. Nurchayati, Tri Widayati, S. Sulistiyani, S. Suprapti","doi":"10.5267/j.ijdns.2022.8.007","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.8.007","url":null,"abstract":"This study attempts to analyze the antecedents of e-commerce user behavior and their effect on future purchase intentions. Theoretical exploration shows that the antecedents used in the behavior of e-commerce users are perceived self-efficacy, perceived ease of use and perceived usefulness. The study uses the behavior of e-commerce users as a mediating variable. The study was also conducted using a quantitative method, by distributing questionnaires to 250 e-commerce users in Indonesia. The analysis technique used is Structural Equation Modeling (SEM) with SmartPLS software. The results show that perceived self-efficacy had a positive effect on perceived ease of use and perceived usefulness. These three antecedents in turn have a positive and significant effect on future e-commerce shopping interest by using mediation of user behavior. The results are theoretically useful for deepening Technology Acceptance Model exploration by estimating future buying behavior and interest. Practically, this study encourages e-commerce platform website developers to increase the ease and usefulness to increase the positive behavior of users in purchasing products.","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":"70774538","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.2022.8.013
Khadija Alhumaid, Shamma Al Naqbi, D. Elsori, Maha Al Mansoori
Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export.
{"title":"The adoption of artificial intelligence applications in education","authors":"Khadija Alhumaid, Shamma Al Naqbi, D. Elsori, Maha Al Mansoori","doi":"10.5267/j.ijdns.2022.8.013","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.8.013","url":null,"abstract":"Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export.","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":"70774573","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}
Social Media is one of the digital marketing media that is widely used today and the presence of the brand ambassador phenomenon is one of the determinants of consumer purchasing decisions for a product advertised on social media. In today's advances in digital technology, whether consumers prefer to be a model for the product and also whether trust in consumers is also a factor in the consumer's decision to buy. The purpose of this study is to examine the effect of brand ambassador and trust variables on consumer decisions to shop online and also purchase decisions on repurchase. In this study the researchers used four variables, twelve dimensions where each dimension was represented by two indicators so that in this study there were twenty-four indicators which would later be changed in the form of questions to respondents. The population used is consumers who have shopped for fashion products using brand ambassadors. Given that the population is very large, the researchers used quota sampling to determine the number of samples. The study used 5 times the number of indicators so that there were 120 samples of respondents who were processed through Structural Equation Modeling analysis techniques with AMOS software. The results of data processing indicate that brand ambassadors and trust significantly influence consumer purchasing decisions. It was found that trust had the greatest influence on trust. Moreover, purchasing decisions have a significant effect on online consumer repurchase.
{"title":"The effects of brand ambassador and trust on purchase decisions through social media","authors":"Dede Suleman, Yohanes Totok Suyoto, R. Sjarief, Sabil Sabil, Sofyan Marwansyah, Popon Rabia Adawia, Aprilia Puspasari","doi":"10.5267/j.ijdns.2022.9.003","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.9.003","url":null,"abstract":"Social Media is one of the digital marketing media that is widely used today and the presence of the brand ambassador phenomenon is one of the determinants of consumer purchasing decisions for a product advertised on social media. In today's advances in digital technology, whether consumers prefer to be a model for the product and also whether trust in consumers is also a factor in the consumer's decision to buy. The purpose of this study is to examine the effect of brand ambassador and trust variables on consumer decisions to shop online and also purchase decisions on repurchase. In this study the researchers used four variables, twelve dimensions where each dimension was represented by two indicators so that in this study there were twenty-four indicators which would later be changed in the form of questions to respondents. The population used is consumers who have shopped for fashion products using brand ambassadors. Given that the population is very large, the researchers used quota sampling to determine the number of samples. The study used 5 times the number of indicators so that there were 120 samples of respondents who were processed through Structural Equation Modeling analysis techniques with AMOS software. The results of data processing indicate that brand ambassadors and trust significantly influence consumer purchasing decisions. It was found that trust had the greatest influence on trust. Moreover, purchasing decisions have a significant effect on online consumer repurchase.","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":"70774753","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.2022.9.011
Thi Dung Ngo, Thi Ngoc Lan Nguyen, Thanh Thuy Cu
This study was designed to analyze the factors influencing the utilization of an E-Learning system in training repatriated workers in Vietnam's urban regions in the new context. According to research findings, professional qualifications and education have a significant influence on the income and employment of repatriated workers in urban regions. E-Learning systems are employed as an effective channel to transfer information and skills to workers in urban areas to fulfill the improvement of professional certifications and professional abilities of workers. The analysis results also show that several factors have a significant impact on the usage of the E-Learning online training system for employees in Vietnam's urban regions, including the factor representing the ease of use of the E-learning system, Easy access to E-Learning system scale has the highest influence score with coefficient 0.932, the factor Learners feel useful, the scale of saving time getting to the study location has an influence coefficient of 0.965, and the element reflecting the joy of learning, the scale of getting more highly rated experiences have the greatest influence with a coefficient of 0.942. Data for the study were obtained from 188 repatriated laborers in urban regions of Vietnam. The multivariate regression analysis method and factor analysis were utilized to analyze the data in the study with the help of SPSS 20.0 software.
{"title":"E-learning applications in training for repatriated workers in Vietnamese urban regions in the post-covid19 context","authors":"Thi Dung Ngo, Thi Ngoc Lan Nguyen, Thanh Thuy Cu","doi":"10.5267/j.ijdns.2022.9.011","DOIUrl":"https://doi.org/10.5267/j.ijdns.2022.9.011","url":null,"abstract":"This study was designed to analyze the factors influencing the utilization of an E-Learning system in training repatriated workers in Vietnam's urban regions in the new context. According to research findings, professional qualifications and education have a significant influence on the income and employment of repatriated workers in urban regions. E-Learning systems are employed as an effective channel to transfer information and skills to workers in urban areas to fulfill the improvement of professional certifications and professional abilities of workers. The analysis results also show that several factors have a significant impact on the usage of the E-Learning online training system for employees in Vietnam's urban regions, including the factor representing the ease of use of the E-learning system, Easy access to E-Learning system scale has the highest influence score with coefficient 0.932, the factor Learners feel useful, the scale of saving time getting to the study location has an influence coefficient of 0.965, and the element reflecting the joy of learning, the scale of getting more highly rated experiences have the greatest influence with a coefficient of 0.942. Data for the study were obtained from 188 repatriated laborers in urban regions of Vietnam. The multivariate regression analysis method and factor analysis were utilized to analyze the data in the study with the help of SPSS 20.0 software.","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":"70774905","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.2023.1.001
Karto Iskandar, Bismo Asyura Widianto, Muhammad Alvito Kuntjoro, Rayhan Ardiya Dwantara, M. Herlina
This study begins with a literature review to observe current problems surrounding vehicle service centers and the use of the ARIMA method to resolve similar cases. Researchers then conduct the observation process by collecting user needs through surveys and questionnaires. Next, researchers use the Scrum methodology to develop a web-based application enriched with the ARIMA method. Afterward, researchers obtain user feedback using surveys and questionnaires to evaluate the user experience towards the application. Conclusively, based on the results of the questionnaires, the average respondent believes that the web-based application can simplify respondents in making vehicle service reservations with a score of 8.85 out of 10. In addition, the average respondent believes that the web-based application can assist respondents in planning vehicle service. They visit with shorter queue times through a crowded time prediction system on a web-based reservation application with the ARIMA model with a value of 8.9 out of 10.
{"title":"Vehicle service reservation system and crowd-prediction feature using ARIMA method","authors":"Karto Iskandar, Bismo Asyura Widianto, Muhammad Alvito Kuntjoro, Rayhan Ardiya Dwantara, M. Herlina","doi":"10.5267/j.ijdns.2023.1.001","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.1.001","url":null,"abstract":"This study begins with a literature review to observe current problems surrounding vehicle service centers and the use of the ARIMA method to resolve similar cases. Researchers then conduct the observation process by collecting user needs through surveys and questionnaires. Next, researchers use the Scrum methodology to develop a web-based application enriched with the ARIMA method. Afterward, researchers obtain user feedback using surveys and questionnaires to evaluate the user experience towards the application. Conclusively, based on the results of the questionnaires, the average respondent believes that the web-based application can simplify respondents in making vehicle service reservations with a score of 8.85 out of 10. In addition, the average respondent believes that the web-based application can assist respondents in planning vehicle service. They visit with shorter queue times through a crowded time prediction system on a web-based reservation application with the ARIMA model with a value of 8.9 out of 10.","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":"70775135","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.2023.2.006
Tahani Deeb Saad Alrabadi, Zunirah Mohd Talib, N. Abdullah
The current study aimed to shed light on the influence of quality 4.0 including Data, Analytics, Connectivity, Collaboration, App Development, Scalability, Management Systems, Compliance, Culture, Leadership, and Competency in supporting organizational efforts of digital transformation among Jordanian telecommunication organizations. A quantitative approach was adopted to achieve the previously mentioned aim. An online questionnaire was filled out by a convenient sample of 141 quality managers and employees within Jordanian telecommunication organizations: namely Zain, Umniah, and Orange. SPSS was used to screen and analyze primary data and AMOS version 23 was used to test the study hypotheses. The results of the study accepted the main hypothesis which indicated that quality 4.0 increases organizations seeking to accomplish digital transformation due to its ability to present better chances for the organization to develop and adhere to quality standards. The study recommended supporting organizational IT infrastructure to make a good environment for quality 4.0 adoption.
目前的研究旨在阐明质量4.0的影响，包括数据、分析、连接、协作、应用程序开发、可扩展性、管理系统、合规性、文化、领导力和能力，以支持约旦电信组织的数字化转型。为实现上述目标，采取了定量方法。一份在线问卷是由约旦电信组织(即Zain、Umniah和Orange)的141名质量经理和员工填写的。采用SPSS对原始数据进行筛选和分析，采用AMOS version 23对研究假设进行检验。该研究的结果接受了主要假设，即质量4.0增加了寻求完成数字化转型的组织，因为它能够为组织提供更好的机会来制定和坚持质量标准。该研究建议支持组织IT基础设施，为采用质量4.0创造良好的环境。
{"title":"The role of quality 4.0 in supporting digital transformation: Evidence from telecommunication industry","authors":"Tahani Deeb Saad Alrabadi, Zunirah Mohd Talib, N. Abdullah","doi":"10.5267/j.ijdns.2023.2.006","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.2.006","url":null,"abstract":"The current study aimed to shed light on the influence of quality 4.0 including Data, Analytics, Connectivity, Collaboration, App Development, Scalability, Management Systems, Compliance, Culture, Leadership, and Competency in supporting organizational efforts of digital transformation among Jordanian telecommunication organizations. A quantitative approach was adopted to achieve the previously mentioned aim. An online questionnaire was filled out by a convenient sample of 141 quality managers and employees within Jordanian telecommunication organizations: namely Zain, Umniah, and Orange. SPSS was used to screen and analyze primary data and AMOS version 23 was used to test the study hypotheses. The results of the study accepted the main hypothesis which indicated that quality 4.0 increases organizations seeking to accomplish digital transformation due to its ability to present better chances for the organization to develop and adhere to quality standards. The study recommended supporting organizational IT infrastructure to make a good environment for quality 4.0 adoption.","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":"70775575","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.2023.1.006
T. Suryanto, N. C. Wibowo, A. Faroqi, Achmad Afandi
The development of wearable technology opens the potential for its use in various sectors, one of which is the use of smartwatches in the sports sector. This paper examines soccer players' behavior's impact on using smartwatches as a training monitoring tool. This study uses a quantitative approach involving as many as 128 soccer players to complete a research questionnaire with face to face (offline). SEM-PLS is used as an analytical method to test the proposed inferential model. As a result, research shows that social influences, relative advantages, and enjoyment impact the use of smartwatches during training and daily use by soccer players.
{"title":"A survey on the behavior of Indonesian football players using smartwatch","authors":"T. Suryanto, N. C. Wibowo, A. Faroqi, Achmad Afandi","doi":"10.5267/j.ijdns.2023.1.006","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.1.006","url":null,"abstract":"The development of wearable technology opens the potential for its use in various sectors, one of which is the use of smartwatches in the sports sector. This paper examines soccer players' behavior's impact on using smartwatches as a training monitoring tool. This study uses a quantitative approach involving as many as 128 soccer players to complete a research questionnaire with face to face (offline). SEM-PLS is used as an analytical method to test the proposed inferential model. As a result, research shows that social influences, relative advantages, and enjoyment impact the use of smartwatches during training and daily use by soccer players.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70775693","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.2023.2.002
Ala Mughaid, Ibrahim Obaidat, A. Aljammal, Shadi Alzu'bi, Fatima M. Quiam, Dena Abu Laila, Aseel Al-zou’bi, L. Abualigah
Ad hoc networks, known as infrastructure-less networks, are composed of mobile nodes that connect without a centralized system controlling them. These networks have a wide range of potential applications, including emergency response, events, military operations, wireless access, and intelligent transportation. They can take on various forms, such as wireless sensor networks, wireless mesh networks, and mobile ad hoc networks. Because users in these networks can move around at any time, routing protocols must adapt to the constantly changing network layout. However, these networks are also susceptible to various security threats, including DDoS attacks. This paper aims to analyze the performance and impact of security attacks on the performance of reactive and proactive routing protocols in CBR connection patterns with different pause times. The analysis is provided in metrics such as throughput, packet loss, end-to-end delay, and load. The simulation results show that, on average, the OPNET Modeler simulator analyzed the performance results under DDoS attacks under voice and video traffic conditions. Furthermore, the paper explores the use of Honeypot intelligent agents as a solution to increase security by creating a dummy node to fool DDoS attackers. The results show that the OLSR protocol is most affected by DDoS attacks in terms of quality-of-service metrics such as packet loss, throughput, end-to-end delay, and load. The number of responses to the honeypot solutions differs for each protocol.
{"title":"Simulation and analysis performance of ad-hoc routing protocols under DDoS attack and proposed solution","authors":"Ala Mughaid, Ibrahim Obaidat, A. Aljammal, Shadi Alzu'bi, Fatima M. Quiam, Dena Abu Laila, Aseel Al-zou’bi, L. Abualigah","doi":"10.5267/j.ijdns.2023.2.002","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.2.002","url":null,"abstract":"Ad hoc networks, known as infrastructure-less networks, are composed of mobile nodes that connect without a centralized system controlling them. These networks have a wide range of potential applications, including emergency response, events, military operations, wireless access, and intelligent transportation. They can take on various forms, such as wireless sensor networks, wireless mesh networks, and mobile ad hoc networks. Because users in these networks can move around at any time, routing protocols must adapt to the constantly changing network layout. However, these networks are also susceptible to various security threats, including DDoS attacks. This paper aims to analyze the performance and impact of security attacks on the performance of reactive and proactive routing protocols in CBR connection patterns with different pause times. The analysis is provided in metrics such as throughput, packet loss, end-to-end delay, and load. The simulation results show that, on average, the OPNET Modeler simulator analyzed the performance results under DDoS attacks under voice and video traffic conditions. Furthermore, the paper explores the use of Honeypot intelligent agents as a solution to increase security by creating a dummy node to fool DDoS attackers. The results show that the OLSR protocol is most affected by DDoS attacks in terms of quality-of-service metrics such as packet loss, throughput, end-to-end delay, and load. The number of responses to the honeypot solutions differs for each protocol.","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":"70775877","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.2023.3.006
O. AlQudah, B. Jarah, A. Alshehadeh, Zeyad Almatarneh, M. Soda, Haneen A. Al-Khawaja
The aim of this study was to investigate and identify the influence of performance expectation, effort expectation, and perceived usefulness on the usage of electronic banking services by Jordanian bank customers. The study used a quantitative method, with questionnaires administered to Jordanian bank clients. The statistics support the association between performance expectation, effort expectation, perceived utility, and the usage of electronic banking services. This implies that these characteristics have a major influence on Jordanian bank customers' electronic banking services. The association between performance expectation and use of electronic banking services is the strongest, followed by effort expectation and use of electronic banking services, and the poorest between perceived usefulness and use of electronic banking services. Even the most tenuous association (perceived usefulness and use of electronic banking services) is statistically significant. These findings also imply that banks seeking to boost the usage of electronic banking services should concentrate on improving consumers' perceptions of performance and effort expectations, as well as perceived usefulness.
{"title":"Data processing related to the impact of performance expectation, effort expectation, and perceived usefulness on the use of electronic banking services for customers of Jordanian banks","authors":"O. AlQudah, B. Jarah, A. Alshehadeh, Zeyad Almatarneh, M. Soda, Haneen A. Al-Khawaja","doi":"10.5267/j.ijdns.2023.3.006","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.3.006","url":null,"abstract":"The aim of this study was to investigate and identify the influence of performance expectation, effort expectation, and perceived usefulness on the usage of electronic banking services by Jordanian bank customers. The study used a quantitative method, with questionnaires administered to Jordanian bank clients. The statistics support the association between performance expectation, effort expectation, perceived utility, and the usage of electronic banking services. This implies that these characteristics have a major influence on Jordanian bank customers' electronic banking services. The association between performance expectation and use of electronic banking services is the strongest, followed by effort expectation and use of electronic banking services, and the poorest between perceived usefulness and use of electronic banking services. Even the most tenuous association (perceived usefulness and use of electronic banking services) is statistically significant. These findings also imply that banks seeking to boost the usage of electronic banking services should concentrate on improving consumers' perceptions of performance and effort expectations, as well as perceived usefulness.","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":"70776175","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.2023.3.009
Ajeng Berliana Salsabila, Firdaniza Firdaniza, B. N. Ruchjana, A. S. Abdullah
Cocoa is a plantation commodity whose role is essential for the economy, so it is necessary to be aware of its health to maximize production. Cocoa plant disease data is a time series data because it is observed continuously. One of the time series forecasting models is the Fuzzy Time Series Markov Chain (FTS-MC), a combination of the Fuzzy Time Series (FTS) and Markov Chain models. The model uses the principle of fuzzy logic by transferring FTS data to fuzzy logic and using the obtained fuzzy logic groups to derive the Markov chain transition matrix. In this research, a Python script of the FTS-MC model was built in the Google Colaboratory to forecast the number of cocoa plant diseases in Bendungan District to simplify and speed up the data processing. Python was used in this research because of its easy-to-use, flexible, and open-source syntax. In building Python scripts, libraries and functions are needed by utilizing loop processes and if-else statements. Based on the processing results, forecasting with the FTS-MC model using Python only takes less than 1 minute.
{"title":"Python script fuzzy time series Markov chain model for forecasting the number of diseases cocoa plant in Bendungan district","authors":"Ajeng Berliana Salsabila, Firdaniza Firdaniza, B. N. Ruchjana, A. S. Abdullah","doi":"10.5267/j.ijdns.2023.3.009","DOIUrl":"https://doi.org/10.5267/j.ijdns.2023.3.009","url":null,"abstract":"Cocoa is a plantation commodity whose role is essential for the economy, so it is necessary to be aware of its health to maximize production. Cocoa plant disease data is a time series data because it is observed continuously. One of the time series forecasting models is the Fuzzy Time Series Markov Chain (FTS-MC), a combination of the Fuzzy Time Series (FTS) and Markov Chain models. The model uses the principle of fuzzy logic by transferring FTS data to fuzzy logic and using the obtained fuzzy logic groups to derive the Markov chain transition matrix. In this research, a Python script of the FTS-MC model was built in the Google Colaboratory to forecast the number of cocoa plant diseases in Bendungan District to simplify and speed up the data processing. Python was used in this research because of its easy-to-use, flexible, and open-source syntax. In building Python scripts, libraries and functions are needed by utilizing loop processes and if-else statements. Based on the processing results, forecasting with the FTS-MC model using Python only takes less than 1 minute.","PeriodicalId":36543,"journal":{"name":"International Journal of Data and Network Science","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70776245","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}
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