Pub Date : 2023-04-07DOI: 10.1142/s0219622023410018
Hui Zheng, Jing He, Rozbeh Zarei, H. Lui, Yi Ji, Qi-Wei Kong, Mo-Zhengfu Liu, Peng Li, Hailong Yang, Baorui Du, Yong Shi
{"title":"Linear Step-adjusting Programming in Factor Space","authors":"Hui Zheng, Jing He, Rozbeh Zarei, H. Lui, Yi Ji, Qi-Wei Kong, Mo-Zhengfu Liu, Peng Li, Hailong Yang, Baorui Du, Yong Shi","doi":"10.1142/s0219622023410018","DOIUrl":"https://doi.org/10.1142/s0219622023410018","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"12 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114000763","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 : 2023-04-07DOI: 10.1142/s0219622023500426
Chia-Chi Chang, Chun-Jui Pai, Huai-Wei Lo
{"title":"Sustainable Development Evaluation of Cultural and Creative Industries Using a Neutrosophic–based DEMATEL-TOPSIS Approach","authors":"Chia-Chi Chang, Chun-Jui Pai, Huai-Wei Lo","doi":"10.1142/s0219622023500426","DOIUrl":"https://doi.org/10.1142/s0219622023500426","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113936703","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 : 2023-03-17DOI: 10.1142/s0219622023400035
Martyn Harris, M. Levene, Andrius Mudinas
In this paper, we investigate the dynamics of the social media response on Reddit to the COVID-19 pandemic during its first year (February 2020-2021). The emergence of region-specific subreddits allows us to compare the reactions of individuals posting their opinions on social media about the global pandemic from two perspectives - the UK and the US.In particular, we look at the volume of posts and comments on these two subreddits, and at the sentiment expressed in these posts and comments over time as a measure of the public level of engagement and response. Whilst an analysis of volume allows us to quantify how interested people are about the pandemic as it unfolds, sentiment analysis goes beyond this and informs us about how people respond towards the pandemic based on the textual content in the posts and comments. The research looks to develop a framework for analyzing the social response on Reddit to a large-scale event in terms of the level of engagement measured through post and comment volumes, and opinion measured through an analysis of sentiment applied to the post content. In order to compare the subreddits, we show the trend in the time series through the application of moving average methods. We also show how to identify the lag between time series and align them using cross-correlation. Moreover, once aligned, we apply moving correlations to the time series to measure their degree of correspondence to see if there is a similar response to the pandemic across the two groups (UK and US). The results indicate that both subreddits were posting in high volumes at specific points during the pandemic, and that, despite the generally negative sentiment in the posts and comments, a gradual decrease in negativity leading up to the start of 2021 is observed as measures are put in place by governments and organizations to contain the virus and provide necessary support the affected populations.
{"title":"Time series analysis of sentiment: A comparison of the US and UK Coronavirus subreddits","authors":"Martyn Harris, M. Levene, Andrius Mudinas","doi":"10.1142/s0219622023400035","DOIUrl":"https://doi.org/10.1142/s0219622023400035","url":null,"abstract":"In this paper, we investigate the dynamics of the social media response on Reddit to the COVID-19 pandemic during its first year (February 2020-2021). The emergence of region-specific subreddits allows us to compare the reactions of individuals posting their opinions on social media about the global pandemic from two perspectives - the UK and the US.In particular, we look at the volume of posts and comments on these two subreddits, and at the sentiment expressed in these posts and comments over time as a measure of the public level of engagement and response. Whilst an analysis of volume allows us to quantify how interested people are about the pandemic as it unfolds, sentiment analysis goes beyond this and informs us about how people respond towards the pandemic based on the textual content in the posts and comments. The research looks to develop a framework for analyzing the social response on Reddit to a large-scale event in terms of the level of engagement measured through post and comment volumes, and opinion measured through an analysis of sentiment applied to the post content. In order to compare the subreddits, we show the trend in the time series through the application of moving average methods. We also show how to identify the lag between time series and align them using cross-correlation. Moreover, once aligned, we apply moving correlations to the time series to measure their degree of correspondence to see if there is a similar response to the pandemic across the two groups (UK and US). The results indicate that both subreddits were posting in high volumes at specific points during the pandemic, and that, despite the generally negative sentiment in the posts and comments, a gradual decrease in negativity leading up to the start of 2021 is observed as measures are put in place by governments and organizations to contain the virus and provide necessary support the affected populations.","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128417148","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 : 2023-03-10DOI: 10.1142/s0219622023500402
D. Lv, Yingli Gong, Jianting Chen, Yang Xiang
{"title":"Recommendation Algorithm of Industry Stock Trading Model with TODIM","authors":"D. Lv, Yingli Gong, Jianting Chen, Yang Xiang","doi":"10.1142/s0219622023500402","DOIUrl":"https://doi.org/10.1142/s0219622023500402","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128966124","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 : 2023-03-10DOI: 10.1142/s0219622023500396
L. Quezada, Héctor A. López-Ospina, Miguel A. Gonzalez, A. Oddershede, P. Palominos
{"title":"Identifying Causal Relationships in a Strategy Map Using ANP and Multi-objective Integer Optimization Model","authors":"L. Quezada, Héctor A. López-Ospina, Miguel A. Gonzalez, A. Oddershede, P. Palominos","doi":"10.1142/s0219622023500396","DOIUrl":"https://doi.org/10.1142/s0219622023500396","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124747883","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 : 2023-03-09DOI: 10.1142/s0219622023500384
M. Colhon, Monica Tilea, A. González‐Marcos, A. Reşceanu, F. Smarandache, Fermin Navaridas-Naida
{"title":"A neutrosophic decision-making model for determining young people's active engagement","authors":"M. Colhon, Monica Tilea, A. González‐Marcos, A. Reşceanu, F. Smarandache, Fermin Navaridas-Naida","doi":"10.1142/s0219622023500384","DOIUrl":"https://doi.org/10.1142/s0219622023500384","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114378541","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 : 2023-03-09DOI: 10.1142/s0219622023500372
Elanur Adar Yazar, T. Adar, Elif Kilic-Delice
{"title":"Comprehensive evaluation of hazardous solid waste treatment and disposal technologies by a new integrated AHP&marcos approach","authors":"Elanur Adar Yazar, T. Adar, Elif Kilic-Delice","doi":"10.1142/s0219622023500372","DOIUrl":"https://doi.org/10.1142/s0219622023500372","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"5113 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131281783","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 : 2023-03-03DOI: 10.1142/s0219622023400023
Xiaoqian Zhu, Yinghui Wang, Yanpeng Chang, Rongda Chen, Jianping Li
The ongoing coronavirus disease 2019 (COVID-19) pandemic has brought unexpected economic downturns and accelerated digital transformation, leading to stronger financial fraud motives and more complicated fraud schemes. Although scholars, practitioners, and regulators have begun to focus on the new characteristics of financial fraud, a systematic and effective anti-fraud strategy during the pandemic still needs to be explored. This paper comprehensively analyzes the lessons of anti-fraud that we should learn from the COVID-19 pandemic. By exploring the complex motives and schemes of fraud, we summarize the characteristics of financial fraud activities and further analyze the regulatory challenges posed by financial fraud during the outbreak. To better cope with the fraudulent activities during the pandemic, policy proposals on how to improve the supervision of financial fraud activities are put forward. In particular, the panoramic data and graph-based techniques are powerful tools for future fraud detection.
{"title":"Anti-fraud analysis during the COVID-19 pandemic: A global perspective","authors":"Xiaoqian Zhu, Yinghui Wang, Yanpeng Chang, Rongda Chen, Jianping Li","doi":"10.1142/s0219622023400023","DOIUrl":"https://doi.org/10.1142/s0219622023400023","url":null,"abstract":"The ongoing coronavirus disease 2019 (COVID-19) pandemic has brought unexpected economic downturns and accelerated digital transformation, leading to stronger financial fraud motives and more complicated fraud schemes. Although scholars, practitioners, and regulators have begun to focus on the new characteristics of financial fraud, a systematic and effective anti-fraud strategy during the pandemic still needs to be explored. This paper comprehensively analyzes the lessons of anti-fraud that we should learn from the COVID-19 pandemic. By exploring the complex motives and schemes of fraud, we summarize the characteristics of financial fraud activities and further analyze the regulatory challenges posed by financial fraud during the outbreak. To better cope with the fraudulent activities during the pandemic, policy proposals on how to improve the supervision of financial fraud activities are put forward. In particular, the panoramic data and graph-based techniques are powerful tools for future fraud detection.","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392550","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 : 2023-03-03DOI: 10.1142/s0219622023500360
S. Narayanasamy, Maiga Chang
{"title":"An entity extraction and categorization technique on twitter streams","authors":"S. Narayanasamy, Maiga Chang","doi":"10.1142/s0219622023500360","DOIUrl":"https://doi.org/10.1142/s0219622023500360","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125935440","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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