Pub Date : 2023-01-01DOI: 10.1504/ijitm.2023.10055162
Xiao Hu, Li-Xue Wan
{"title":"Scheduling and monitoring on engineering vehicles based on IoT","authors":"Xiao Hu, Li-Xue Wan","doi":"10.1504/ijitm.2023.10055162","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10055162","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":"67210270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper focuses primarily on the need to monitor the risks arising from the dual-use of Artificial Intelligence (AI). Dual-use AI technology capability makes it applicable for defense systems and consequently may pose significant security risks, both intentional and unintentional, with the national and international scope of effects. While domestic use of AI remains the prerogative of individual countries, the unregulated and nonmonitored use of AI with international implications presents a specific concern. An international organization tasked with monitoring potential threats of AI activities could help defuse AI-associated risks and promote global cooperation in developing and deploying AI technology. The paper reviews factors involved in the international monitoring of AI activities, strategies of dual-use technologies regulation, challenges, and potential solutions.
{"title":"The Need for International AI Activities Monitoring","authors":"Parviz Partow-Navid, Ludwig Skusky","doi":"10.58729/1941-6679.1564","DOIUrl":"https://doi.org/10.58729/1941-6679.1564","url":null,"abstract":"This paper focuses primarily on the need to monitor the risks arising from the dual-use of Artificial Intelligence (AI). Dual-use AI technology capability makes it applicable for defense systems and consequently may pose significant security risks, both intentional and unintentional, with the national and international scope of effects. While domestic use of AI remains the prerogative of individual countries, the unregulated and nonmonitored use of AI with international implications presents a specific concern. An international organization tasked with monitoring potential threats of AI activities could help defuse AI-associated risks and promote global cooperation in developing and deploying AI technology. The paper reviews factors involved in the international monitoring of AI activities, strategies of dual-use technologies regulation, challenges, and potential solutions.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73870880","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}
Patient satisfaction is perceived as a significant benefit of hospitals’ investments in health information exchange (HIE). Successful implementation of HIE systems lead to increased organizational efficiency in hospitals and more likely to enable doctors and other staff members to better meet patient needs and expectations. This research draws upon system success theory to examine how HIE adoption affects patient satisfaction. In addition, this research investigates whether the relationship between HIE adoption and patient satisfaction is mediated by organizational efficiency. This is the first research study that draws upon system success theory to understand how HIE adoption affects patient satisfaction.
{"title":"Health Information Exchange Adoption and Patient Satisfaction: The Mediating Role of Organizational Efficiency","authors":"Hsun-Ming Lee, Peiqin Zhang, Jaymeen Shah","doi":"10.58729/1941-6679.1578","DOIUrl":"https://doi.org/10.58729/1941-6679.1578","url":null,"abstract":"Patient satisfaction is perceived as a significant benefit of hospitals’ investments in health information exchange (HIE). Successful implementation of HIE systems lead to increased organizational efficiency in hospitals and more likely to enable doctors and other staff members to better meet patient needs and expectations. This research draws upon system success theory to examine how HIE adoption affects patient satisfaction. In addition, this research investigates whether the relationship between HIE adoption and patient satisfaction is mediated by organizational efficiency. This is the first research study that draws upon system success theory to understand how HIE adoption affects patient satisfaction.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"24 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":"135058230","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.2023.10057265
Qixing Yin, Xiaosi Xu, Yinghui Liu
{"title":"Research on fast mining of enterprise marketing investment data based on improved association rules","authors":"Qixing Yin, Xiaosi Xu, Yinghui Liu","doi":"10.1504/ijitm.2023.10057265","DOIUrl":"https://doi.org/10.1504/ijitm.2023.10057265","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":"67211549","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}
{"title":"Evolution and Diffusion of ICTs in the Indian Railways: A Historical Analysis","authors":"R. Subramanian","doi":"10.58729/1941-6679.1498","DOIUrl":"https://doi.org/10.58729/1941-6679.1498","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"291 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75374777","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 : 2022-01-01DOI: 10.1504/ijitm.2022.10051755
Zhanlei Shang, Li Si
{"title":"Performance evaluation method of human resource management based on Chaotic Algorithm.","authors":"Zhanlei Shang, Li Si","doi":"10.1504/ijitm.2022.10051755","DOIUrl":"https://doi.org/10.1504/ijitm.2022.10051755","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67210055","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 : 2022-01-01DOI: 10.1504/ijitm.2022.10052230
Miao Ma
{"title":"Research on digital English teaching materials recommendation based on improved machine learning","authors":"Miao Ma","doi":"10.1504/ijitm.2022.10052230","DOIUrl":"https://doi.org/10.1504/ijitm.2022.10052230","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67210501","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 : 2022-01-01DOI: 10.1504/ijitm.2022.10052258
Xiaoyun Li N.A.
{"title":"The personalized classification of brand promotion information based on K-means algorithm","authors":"Xiaoyun Li N.A.","doi":"10.1504/ijitm.2022.10052258","DOIUrl":"https://doi.org/10.1504/ijitm.2022.10052258","url":null,"abstract":"","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67210660","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}
Digital transformation has evolved as the main issue for higher education institutions (HEIs) across the globe due to the Covid-19 outbreak. The purpose of this study is to investigate the performance impacts of digital transformation for instructors of HEIs during the pandemic. The technology-to-performance chain (TPC) model pursues to predict the influence of an information system on the performance of an individual user. Hence, TPC model is used to evaluate the performance of instructors due to digital transformation in the institutions during the Covid-19 pandemic. The data is collected from instructors of higher educational institutions. Recently, partial least squares path modeling (PLS-PM) has found extensive application for causal information systems (IS) research. Hence, Smart-PLS is used to analyze the data. Five constructs (task-technology fit, social norms, facilitating conditions, utilization, and performance impacts) are used to develop the model. The results showed that task technology fit (TTF) has a significant effect on performance impacts whereas utilization does not have an influence on performance impacts. Facilitating conditions and TTF are found to have an influence on the utilization whereas subjective norms do not have influence. This study contributes to the knowledge on the factors that matter to instructors of HEI in improving their teaching productivity, communication, and co-ordination during the Covid-19 pandemic.
{"title":"Assessing Performance Impact of Digital Transformation for Instructors in the Covid-19 Era","authors":"Shailja Tripathi, Shubhangi Urkude","doi":"10.58729/1941-6679.1542","DOIUrl":"https://doi.org/10.58729/1941-6679.1542","url":null,"abstract":"Digital transformation has evolved as the main issue for higher education institutions (HEIs) across the globe due to the Covid-19 outbreak. The purpose of this study is to investigate the performance impacts of digital transformation for instructors of HEIs during the pandemic. The technology-to-performance chain (TPC) model pursues to predict the influence of an information system on the performance of an individual user. Hence, TPC model is used to evaluate the performance of instructors due to digital transformation in the institutions during the Covid-19 pandemic. The data is collected from instructors of higher educational institutions. Recently, partial least squares path modeling (PLS-PM) has found extensive application for causal information systems (IS) research. Hence, Smart-PLS is used to analyze the data. Five constructs (task-technology fit, social norms, facilitating conditions, utilization, and performance impacts) are used to develop the model. The results showed that task technology fit (TTF) has a significant effect on performance impacts whereas utilization does not have an influence on performance impacts. Facilitating conditions and TTF are found to have an influence on the utilization whereas subjective norms do not have influence. This study contributes to the knowledge on the factors that matter to instructors of HEI in improving their teaching productivity, communication, and co-ordination during the Covid-19 pandemic.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89761288","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 medical field is becoming bigger and more complex in the 21st century, diseases both emergent and re-emergent are on the rise and are costing lives around the world. Evolution of many diseases has made people find a reason to seek medical care in healthcare centers. This has led to increased development of health care facilities as peoples’ urge to get quality diagnosis and treatment rises. However, in the past patients ended up waiting a long time in their efforts to obtain these services. These wait times were due to the lack of proper documentation and recording of the personal information. Hospitals and health centers had to hire an increased numbers of health practitioners to handle the paper work as patient populations increased. Due to the massive amount of issues experienced and the patient agony, healthcare professionals were prompted to develop fast, reliable and efficient methods of handling large amounts of data within a short time. The rise of digital technologies enables the Electronic Medical Records (EMR) system to be utilized in the healthcare setting. This tool has revolutionized the whole spectrum of capturing and recording medical health data. Today, health care agencies and organizations can retrieve and store a patient’s personal health information where physicians can readily access this information from their offices. Therefore, EMR is the real time solution to the health information management problem and through it there will be an improved patient experience in terms of wait time, diagnosis, and treatment. However, there are some challenges that come with the system that should be addressed to ensure efficiency. After a systemic review of the literature, we have used a systemigram approach and modeled the current challenges of EMR implementation and the related solutions to EMR system adoption.
{"title":"Understanding Challenges and Solutions with Systemigrams: Application to Electronic Medical Record Systems","authors":"Amit Malhan, L. L. Johnson, R. Pavur","doi":"10.58729/1941-6679.1503","DOIUrl":"https://doi.org/10.58729/1941-6679.1503","url":null,"abstract":"The medical field is becoming bigger and more complex in the 21st century, diseases both emergent and re-emergent are on the rise and are costing lives around the world. Evolution of many diseases has made people find a reason to seek medical care in healthcare centers. This has led to increased development of health care facilities as peoples’ urge to get quality diagnosis and treatment rises. However, in the past patients ended up waiting a long time in their efforts to obtain these services. These wait times were due to the lack of proper documentation and recording of the personal information. Hospitals and health centers had to hire an increased numbers of health practitioners to handle the paper work as patient populations increased. Due to the massive amount of issues experienced and the patient agony, healthcare professionals were prompted to develop fast, reliable and efficient methods of handling large amounts of data within a short time. The rise of digital technologies enables the Electronic Medical Records (EMR) system to be utilized in the healthcare setting. This tool has revolutionized the whole spectrum of capturing and recording medical health data. Today, health care agencies and organizations can retrieve and store a patient’s personal health information where physicians can readily access this information from their offices. Therefore, EMR is the real time solution to the health information management problem and through it there will be an improved patient experience in terms of wait time, diagnosis, and treatment. However, there are some challenges that come with the system that should be addressed to ensure efficiency. After a systemic review of the literature, we have used a systemigram approach and modeled the current challenges of EMR implementation and the related solutions to EMR system adoption.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73070541","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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