Pub Date : 2023-01-01DOI: 10.1504/ijitm.2023.10055177
Yu-xin Zhang, Xinghua Sun, Kai Sun, Naidi Liu
{"title":"Design and implementation of big data analysis and visualisation platform for the smart city","authors":"Yu-xin Zhang, Xinghua Sun, Kai Sun, Naidi Liu","doi":"10.1504/ijitm.2023.10055177","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10055177","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","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":"67210337","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}
The interdependent learning process is regarded as a crucial part of e-learning success, but it has been largely ignored in e-learning empirical research. Grounded in constructivist and social constructivist theory, we present and test an e-learning success model consisting of eight e-learning critical success factors (CSF) derived from constructivist and social constructivist models. Three hundred seventy-two on-line students from a Midwestern university in the United States participated in the survey. The data collected from the survey was used to examine the partial least squares structural equation model. The results highlight the importance of self-regulated learning and dialogical processes to explain and predict perceived learning outcomes and student satisfaction.
{"title":"Learning Outcomes and Learner Satisfaction: The Mediating Roles of Self-regulated Learning and Dialogues","authors":"Sean Eom, Nicholas Jeremy Ashill","doi":"10.58729/1941-6679.1557","DOIUrl":"https://doi.org/10.58729/1941-6679.1557","url":null,"abstract":"The interdependent learning process is regarded as a crucial part of e-learning success, but it has been largely ignored in e-learning empirical research. Grounded in constructivist and social constructivist theory, we present and test an e-learning success model consisting of eight e-learning critical success factors (CSF) derived from constructivist and social constructivist models. Three hundred seventy-two on-line students from a Midwestern university in the United States participated in the survey. The data collected from the survey was used to examine the partial least squares structural equation model. The results highlight the importance of self-regulated learning and dialogical processes to explain and predict perceived learning outcomes and student satisfaction.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135754297","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: 10.1504/ijitm.2023.10055326
Jinxin Wang, Mingli Sun
{"title":"Online allocation of teaching resources for ideological and political courses in colleges and universities based on differential search algorithm","authors":"Jinxin Wang, Mingli Sun","doi":"10.1504/ijitm.2023.10055326","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10055326","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","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":"67210946","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}
Artificial intelligence (AI) has emerged as the defining technology of the 21 st century and has far-reaching impacts on project management (PM). This study assesses the applications of AI in managing project processes and targets through a systematic analysis of publications from 2017 to 2021. The analysis has revealed interesting insights, trends, gaps, and issues. This study informs the researchers and practitioners of the status of AI applications in the management of project processes and targets. It helps stimulate research efforts that can lead to more advances in applying AI to augment PM practices.
{"title":"The Applications of Artificial Intelligence in Managing Project Processes and Targets: A Systematic Analysis","authors":"C. Noteboom, Martinson Q. Ofori, Zixing Shen","doi":"10.58729/1941-6679.1558","DOIUrl":"https://doi.org/10.58729/1941-6679.1558","url":null,"abstract":"Artificial intelligence (AI) has emerged as the defining technology of the 21 st century and has far-reaching impacts on project management (PM). This study assesses the applications of AI in managing project processes and targets through a systematic analysis of publications from 2017 to 2021. The analysis has revealed interesting insights, trends, gaps, and issues. This study informs the researchers and practitioners of the status of AI applications in the management of project processes and targets. It helps stimulate research efforts that can lead to more advances in applying AI to augment PM practices.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75834578","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}
Juan M Gómez, Omar H Fares, Myuri Mohan, Seung Hwan (Mark) Lee
This study provides a systematic literature review of blockchain technology in the food industry with a supply chain lens. We identify primary and sub-themes, discuss implications and applications in terms of delivering value and propose literature-informed future research directions. This review uncovered three primary themes: a) Value Creation; b) Supply Chain Digitization; and c) Transformation. It demonstrates that digitalizing food networks with blockchain technology may benefit from increased stakeholder involvement and data visibility to gain competitive advantage. Beyond the theoretical contributions, this research provides a methodological contribution by demonstrating the uses of machine learning techniques to perform systematic literature reviews.
{"title":"Blockchain in the Food Industry: Integrating Machine Learning in a Systematic Literature Review","authors":"Juan M Gómez, Omar H Fares, Myuri Mohan, Seung Hwan (Mark) Lee","doi":"10.58729/1941-6679.1569","DOIUrl":"https://doi.org/10.58729/1941-6679.1569","url":null,"abstract":"This study provides a systematic literature review of blockchain technology in the food industry with a supply chain lens. We identify primary and sub-themes, discuss implications and applications in terms of delivering value and propose literature-informed future research directions. This review uncovered three primary themes: a) Value Creation; b) Supply Chain Digitization; and c) Transformation. It demonstrates that digitalizing food networks with blockchain technology may benefit from increased stakeholder involvement and data visibility to gain competitive advantage. Beyond the theoretical contributions, this research provides a methodological contribution by demonstrating the uses of machine learning techniques to perform systematic literature reviews.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135754305","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}
Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other methods using various imputation techniques and classifiers. Our method achieves the best performance among the methods.
{"title":"Short-term prediction of ICU admission for COVID-19 inpatients","authors":"Yoon Sang Lee, R. Sikora","doi":"10.58729/1941-6679.1541","DOIUrl":"https://doi.org/10.58729/1941-6679.1541","url":null,"abstract":"Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other methods using various imputation techniques and classifiers. Our method achieves the best performance among the methods.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86191965","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: 10.1504/ijitm.2023.10055226
Xin Liu
{"title":"Study on marketing strategy innovation of mobile payment service under internet environment","authors":"Xin Liu","doi":"10.1504/ijitm.2023.10055226","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10055226","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","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":"67210882","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: 10.1504/ijitm.2023.10055227
Liu Xiangyuan
{"title":"A Data Mining Method Based on Label Mapping for Long-term and Short-term Browsing Behavior of Network Users","authors":"Liu Xiangyuan","doi":"10.1504/ijitm.2023.10055227","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10055227","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","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":"67210902","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: 10.1504/ijitm.2023.10055321
Hua Wang
{"title":"Quantitative evaluation method of ideological and political teaching achievements based on collaborative filtering algorithm","authors":"Hua Wang","doi":"10.1504/ijitm.2023.10055321","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10055321","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67211041","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: 10.1504/ijitm.2023.10055231
G. Li
{"title":"Students classroom behavior recognition method based on abstract Hidden Markov model","authors":"G. Li","doi":"10.1504/ijitm.2023.10055231","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10055231","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","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":"67211156","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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