Pub Date : 2022-07-01DOI: 10.1016/j.im.2022.103679
S. Collignon, Salman Nazir, N. Surendra
{"title":"Agile systems development: Privacy theoretical lens to challenge the full information disclosure paradigm","authors":"S. Collignon, Salman Nazir, N. Surendra","doi":"10.1016/j.im.2022.103679","DOIUrl":"https://doi.org/10.1016/j.im.2022.103679","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"34 1","pages":"103679"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88369606","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}
Through in-depth analysis of the definition and connotation of new urbanization quality, a new urbanization indicator system with typical representativeness and quantification is established, and a spatio-temporal coupling coordination model is constructed based on this indicator system, and model input is obtained through urban statistical yearbooks and relevant government year reports Data, complete the temporal-spatial coupling coordination analysis of new urbanization and economic development. Taking a province as an example, it has been experimentally verified that the quality of new urbanization in the province has developed rapidly from 2010 to 2014, and the quality of new urbanization has stagnated from 2014 to 2015. In 2018, the quality of new urbanization in the province has rapidly increased its comprehensive value.
{"title":"Research on the Coordination of Time and Space Coupling Between New Urbanization and Economic Development Based on Cloud Computing","authors":"Xiangjun Xu","doi":"10.4018/irmj.304450","DOIUrl":"https://doi.org/10.4018/irmj.304450","url":null,"abstract":"Through in-depth analysis of the definition and connotation of new urbanization quality, a new urbanization indicator system with typical representativeness and quantification is established, and a spatio-temporal coupling coordination model is constructed based on this indicator system, and model input is obtained through urban statistical yearbooks and relevant government year reports Data, complete the temporal-spatial coupling coordination analysis of new urbanization and economic development. Taking a province as an example, it has been experimentally verified that the quality of new urbanization in the province has developed rapidly from 2010 to 2014, and the quality of new urbanization has stagnated from 2014 to 2015. In 2018, the quality of new urbanization in the province has rapidly increased its comprehensive value.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"28 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87747761","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}
Teacher-training schools, community colleges, and technological institutes are examples of higher education. Teachers utilize various skills and techniques collectively referred to as Teaching Management to keep their students engaged, on task, and academically productive throughout the class. Higher education's greatest difficulty is resisting hard values and assumptions. Hence this paper Machine learning assisted teaching performance evaluation model for supply chain management (ML-TPEM) to help teachers grow personally and professionally, improve teaching and learning, and help schools improve and raise levels of achievement. Faculty employ a machine learning model to identify efficient classroom delivery strategies depending on the students' learning styles. A custom dataset is used to train the model on different styles. As a result, any educational system's effectiveness depends on an effective mechanism for managing deep learning to teach. The system's performance ratio is 90.3 %, its interactivity ratio is 95.1 %, its accessibility ratio is 96 %, its security ratio is 96.9 %.
{"title":"Deep Learning-Assisted Performance Evaluation System for Teaching SCM in the Higher Education System: Performance Evaluation of Teaching Management","authors":"Lianghuan Zhong, Chao Qi, Yuhao Gao","doi":"10.4018/irmj.304454","DOIUrl":"https://doi.org/10.4018/irmj.304454","url":null,"abstract":"Teacher-training schools, community colleges, and technological institutes are examples of higher education. Teachers utilize various skills and techniques collectively referred to as Teaching Management to keep their students engaged, on task, and academically productive throughout the class. Higher education's greatest difficulty is resisting hard values and assumptions. Hence this paper Machine learning assisted teaching performance evaluation model for supply chain management (ML-TPEM) to help teachers grow personally and professionally, improve teaching and learning, and help schools improve and raise levels of achievement. Faculty employ a machine learning model to identify efficient classroom delivery strategies depending on the students' learning styles. A custom dataset is used to train the model on different styles. As a result, any educational system's effectiveness depends on an effective mechanism for managing deep learning to teach. The system's performance ratio is 90.3 %, its interactivity ratio is 95.1 %, its accessibility ratio is 96 %, its security ratio is 96.9 %.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"96 1","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79462168","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 belt and road initiative development strategy proposed by Secretary General Xi Jinping is currently being carried out. The world economy will work more closely together, and the logistics industry will advance to higher level of development. In this paper, to help realize improved world-wide logistics, a decision-making platform based on global manufacturing was built from a survey and an analysis of the overall competitiveness of the logistics industry in terms of demand for logistics services and logistics service capabilities. The platform was found to offer good performance and meet the application requirements.
{"title":"Design and Implementation of a Logistics Decision Support Platform Based on Global Manufacturing From the Perspective of the Belt and Road Initiative","authors":"Fang Ma","doi":"10.4018/irmj.304447","DOIUrl":"https://doi.org/10.4018/irmj.304447","url":null,"abstract":"The belt and road initiative development strategy proposed by Secretary General Xi Jinping is currently being carried out. The world economy will work more closely together, and the logistics industry will advance to higher level of development. In this paper, to help realize improved world-wide logistics, a decision-making platform based on global manufacturing was built from a survey and an analysis of the overall competitiveness of the logistics industry in terms of demand for logistics services and logistics service capabilities. The platform was found to offer good performance and meet the application requirements.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"55 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75186159","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 : 2022-07-01DOI: 10.1016/j.im.2022.103689
Lixu Li, Yang Tong, Longji Wei, Shui-Hua Yang
{"title":"Digital technology-enabled dynamic capabilities and their impacts on firm performance: Evidence from the COVID-19 pandemic","authors":"Lixu Li, Yang Tong, Longji Wei, Shui-Hua Yang","doi":"10.1016/j.im.2022.103689","DOIUrl":"https://doi.org/10.1016/j.im.2022.103689","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"15 1","pages":"103689"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81799797","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}
After the implementation, the online and offline teaching modes are compared and analyzed. In the special social environment, in order to ensure the normal teaching order, the university public sports online course is constructed. The construction research mainly includes the necessity of online physical education course, the design of teaching scheme, teaching objectives, teaching mode, extracurricular sports activities, assessment methods, the connection and comparison of online and offline courses, etc. The purpose is to build a set of practical online course system of university public physical education, make up for the deficiency of offline course teaching, and realize the sharing of educational resources among students in different regions at the same time In order to provide reference for the normal development of physical education in special environment such as epidemic situation.
{"title":"Research on Online Course Teaching of Public Physical Education in Universities Under the Pandemic Situation","authors":"Wei Shen, Jian Liang, Shibiao Xu, Y. Wei","doi":"10.4018/irmj.304451","DOIUrl":"https://doi.org/10.4018/irmj.304451","url":null,"abstract":"After the implementation, the online and offline teaching modes are compared and analyzed. In the special social environment, in order to ensure the normal teaching order, the university public sports online course is constructed. The construction research mainly includes the necessity of online physical education course, the design of teaching scheme, teaching objectives, teaching mode, extracurricular sports activities, assessment methods, the connection and comparison of online and offline courses, etc. The purpose is to build a set of practical online course system of university public physical education, make up for the deficiency of offline course teaching, and realize the sharing of educational resources among students in different regions at the same time In order to provide reference for the normal development of physical education in special environment such as epidemic situation.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"26 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82220973","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}
According to the characteristics of consumption of coke, the article utilized combination semi-parametric regression method rather than usual regression analysis to forecast the coke's price. Coke' price was divided into two parts. Parameter part was analyzed through error correction model and BP artificial neural network. Nonlinear part was fitted by core function. Nonparametric sector was described by coke yield. The article utilized cross validation method to select optimum bandwidth, choosing the Parabola kernel for the kernel function. The least squares estimation was selected in new model estimation. The estimation results of real case demonstrate that error correction-semi-parametric regression model and BP artificial neural network-semi-parametric regression model not only reduced boundary estimation error but also strengthen economical interpretation. It is an effective method to forecast coke's price, which can largely raise the estimation precision of coke's price.
{"title":"Forecasting Coke's Price by Combination Semi-Parametric Regression Model","authors":"Jiaojiao Li, Linfeng Zhao","doi":"10.4018/irmj.308302","DOIUrl":"https://doi.org/10.4018/irmj.308302","url":null,"abstract":"According to the characteristics of consumption of coke, the article utilized combination semi-parametric regression method rather than usual regression analysis to forecast the coke's price. Coke' price was divided into two parts. Parameter part was analyzed through error correction model and BP artificial neural network. Nonlinear part was fitted by core function. Nonparametric sector was described by coke yield. The article utilized cross validation method to select optimum bandwidth, choosing the Parabola kernel for the kernel function. The least squares estimation was selected in new model estimation. The estimation results of real case demonstrate that error correction-semi-parametric regression model and BP artificial neural network-semi-parametric regression model not only reduced boundary estimation error but also strengthen economical interpretation. It is an effective method to forecast coke's price, which can largely raise the estimation precision of coke's price.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"46 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77481259","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 : 2022-07-01DOI: 10.1016/j.im.2022.103687
Hyoung-Yong Choi, M. Keil, Aaron M. Baird
{"title":"Intention to use smartwatch health applications: A regulatory fit and locus of control perspective","authors":"Hyoung-Yong Choi, M. Keil, Aaron M. Baird","doi":"10.1016/j.im.2022.103687","DOIUrl":"https://doi.org/10.1016/j.im.2022.103687","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"6 1","pages":"103687"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89464227","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 : 2022-06-01DOI: 10.1016/j.im.2022.103675
Xuecong Lu, Jinglu Jiang, Milena M. Head, Junyi Yang
{"title":"The Impact of Linguistic Complexity on Leadership in Online Q&A communities: Comparing Knowledge Shaping and Knowledge Adding","authors":"Xuecong Lu, Jinglu Jiang, Milena M. Head, Junyi Yang","doi":"10.1016/j.im.2022.103675","DOIUrl":"https://doi.org/10.1016/j.im.2022.103675","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":"19 1","pages":"103675"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72963160","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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