Pub Date : 2021-06-18DOI: 10.6007/ijarbss/v11-i6/10058
Isyaku Hassan, Usman Abubakar, Qaribu Yahaya Nasidi, Mohd Nazri Latiff Azmi, A. Shehu
New media technology influences almost all aspects of traditional media, including subscriptions, readership, circulation, and advertising revenue. In particular, the possibility to access information and receive instant updates via the internet has threatened the existence of traditional newspapers. Therefore, this paper aims to review the challenges facing newspapers in the age of digital communication and how publishers can utilize digital technology to expand readership and maximize subscription and advertising revenues. The outcomes of this review showed that challenges faced by newspapers include a general decline in reading culture, lack of interactivity, readers’ preference for free news, and the need to minimize the cost of production and distribution as well as provide timely updates. Nevertheless, by utilizing digital technology and maintaining print editions, publishers can provide credible news and information to expand their reach and attract advertisers. Technology has not been able to replicate the credibility and quality of newspaper content. This review was an attempt to provide useful information to newspaper publishers, journalists, advertisers, and readers on news delivery and consumption in the age of digital communication. This review is limited to newspapers, and hence further research may focus on broadcast media such as radio and television.
{"title":"Challenges and Opportunities for Newspapers in the Age of Digital Communication","authors":"Isyaku Hassan, Usman Abubakar, Qaribu Yahaya Nasidi, Mohd Nazri Latiff Azmi, A. Shehu","doi":"10.6007/ijarbss/v11-i6/10058","DOIUrl":"https://doi.org/10.6007/ijarbss/v11-i6/10058","url":null,"abstract":"New media technology influences almost all aspects of traditional media, including subscriptions, readership, circulation, and advertising revenue. In particular, the possibility to access information and receive instant updates via the internet has threatened the existence of traditional newspapers. Therefore, this paper aims to review the challenges facing newspapers in the age of digital communication and how publishers can utilize digital technology to expand readership and maximize subscription and advertising revenues. The outcomes of this review showed that challenges faced by newspapers include a general decline in reading culture, lack of interactivity, readers’ preference for free news, and the need to minimize the cost of production and distribution as well as provide timely updates. Nevertheless, by utilizing digital technology and maintaining print editions, publishers can provide credible news and information to expand their reach and attract advertisers. Technology has not been able to replicate the credibility and quality of newspaper content. This review was an attempt to provide useful information to newspaper publishers, journalists, advertisers, and readers on news delivery and consumption in the age of digital communication. This review is limited to newspapers, and hence further research may focus on broadcast media such as radio and television.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89615914","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}
We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the interactive media and services industry. We design a monetization methodology that allows us to calculate monetary impact estimates for key welfare effects of social media, including addiction, depression, connectivity, and misinformation, among other effects identified in social media literature. Our results indicate substantial differences in the impact that competitors have through their products. These differences demonstrate how impact reflects corporate strategy and informs decision-making on industry-specific areas.
{"title":"Accounting for Product Impact in the Interactive Media and Services Industry","authors":"DG Park, George Serafeim, Katie Trinh","doi":"10.2139/ssrn.3873440","DOIUrl":"https://doi.org/10.2139/ssrn.3873440","url":null,"abstract":"We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the interactive media and services industry. We design a monetization methodology that allows us to calculate monetary impact estimates for key welfare effects of social media, including addiction, depression, connectivity, and misinformation, among other effects identified in social media literature. Our results indicate substantial differences in the impact that competitors have through their products. These differences demonstrate how impact reflects corporate strategy and informs decision-making on industry-specific areas.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91263725","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 looked at accuracy in market price and real-time updates of chart through computer usage to the inclusive financial market world. It also examined the revolution in the advancement of technology based on the application of computer in the financial market world. The evolution of computer devices has created an open opportunity for more and more participants in the financial market. The profitability of investments in financial markets highly depends on the predictability of price movements. If a forecasting model or technique can precisely predict the direction of the market, investment risk and uncertainty can be minimized. Market execution are instant which now produces immerse gain to the traders, buying, selling and holding currencies in order to make a profit from favorable fluctuations in exchange rates. Trading The forex market is one of the most popular markets for speculation, due to its enormous size, liquidity, and tendency for currencies to move in strong trends.
{"title":"Accuracy in Market Price and Real-Time Updates of Chart Through Computer Usage to the Inclusive Financial Market World","authors":"Ribetan Dasel","doi":"10.2139/ssrn.3861316","DOIUrl":"https://doi.org/10.2139/ssrn.3861316","url":null,"abstract":"This paper looked at accuracy in market price and real-time updates of chart through computer usage to the inclusive financial market world. It also examined the revolution in the advancement of technology based on the application of computer in the financial market world. The evolution of computer devices has created an open opportunity for more and more participants in the financial market. The profitability of investments in financial markets highly depends on the predictability of price movements. If a forecasting model or technique can precisely predict the direction of the market, investment risk and uncertainty can be minimized. Market execution are instant which now produces immerse gain to the traders, buying, selling and holding currencies in order to make a profit from favorable fluctuations in exchange rates. Trading The forex market is one of the most popular markets for speculation, due to its enormous size, liquidity, and tendency for currencies to move in strong trends.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82655866","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}
Monika Kanojiya, Shivam Chothani, Neville Gosalia, Mansi Surve
The main aim of the paper is to introduce a online shopping app with integrated chatbot that saves the time of the user and help to resolve their query at a moment. Online shopping app consist of different functionalities and features such as proper categorization of the product , trending results, recent searched product etc. that will save the time of the customer and customer/user will have clear idea about the product and will have the benefit to choose the product wisely. The chatbot will give the reply to the customer query in the form of “voice message”, “chat support” and hence visually impaired people can use the app easily and will have the clear idea about the product. The chatbot will provide relevant information to the user as per their query. This application works in various types of browser as well as in various network.
{"title":"Ecommerce Chatbot (Online Shopping App)","authors":"Monika Kanojiya, Shivam Chothani, Neville Gosalia, Mansi Surve","doi":"10.2139/ssrn.3853533","DOIUrl":"https://doi.org/10.2139/ssrn.3853533","url":null,"abstract":"The main aim of the paper is to introduce a online shopping app with integrated chatbot that saves the time of the user and help to resolve their query at a moment. Online shopping app consist of different functionalities and features such as proper categorization of the product , trending results, recent searched product etc. that will save the time of the customer and customer/user will have clear idea about the product and will have the benefit to choose the product wisely. The chatbot will give the reply to the customer query in the form of “voice message”, “chat support” and hence visually impaired people can use the app easily and will have the clear idea about the product. The chatbot will provide relevant information to the user as per their query. This application works in various types of browser as well as in various network.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91175461","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}
While solutions of Distributionally Robust Optimization (DRO) problems can sometimes have a higher out-of-sample expected reward than the Sample Average Approximation (SAA), there is no guarantee. In this paper, we introduce the class of Distributionally Optimistic Optimization (DOO) models, and show that it is always possible to ``beat" SAA out-of-sample if we consider not just worst-case (DRO) models but also best-case (DOO) ones. We also show, however, that this comes at a cost: Optimistic solutions are more sensitive to model error than either worst-case or SAA optimizers, and hence are less robust.
{"title":"A data-driven approach to beating SAA out-of-sample","authors":"Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim","doi":"10.2139/ssrn.3853493","DOIUrl":"https://doi.org/10.2139/ssrn.3853493","url":null,"abstract":"While solutions of Distributionally Robust Optimization (DRO) problems can sometimes have a higher out-of-sample expected reward than the Sample Average Approximation (SAA), there is no guarantee. In this paper, we introduce the class of Distributionally Optimistic Optimization (DOO) models, and show that it is always possible to ``beat\" SAA out-of-sample if we consider not just worst-case (DRO) models but also best-case (DOO) ones. We also show, however, that this comes at a cost: Optimistic solutions are more sensitive to model error than either worst-case or SAA optimizers, and hence are less robust.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88197204","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 discussion paper outlines the findings of a qualitative news framing analysis of automated decision-making (ADM) technologies in the mainstream Australian press between 1997 and 2021. All articles including a reference to ADM in these media were identified using the Factiva news monitoring database. These articles, 40 in total, were then analysed for the ways ADM was framed, including paying attention to the headline, the broad and specific topics featured in each article, the news sources, whose interests received attention and the overall tenor of each article. For comparison purposes, I also conducted separate searches for each of the terms ‘artificial intelligence’, ‘algorithm/s, algorithmic’, robot/s/robotic’ and ‘face/facial recognition’. This analysis found a very low level of Australian news outlet reporting using the term ‘automated decision-making’. In some of the news stories, ADM was only briefly mentioned as part of broader discussions about software and big data. By contrast, other related digital technologies have been far more highly reported. The analysis also revealed that two news outlets (The Australian Financial Review and The Australian) and topics have dominated the very small corpus of Australian print news reporting specifically referring to ADM and that therefore, the vast majority of Australian news consumers would not have been exposed to such reports. The broad topics of services were most prevalent in the news reports. For the most part, rather than speculations about the futures of ADM employing techno-utopian or dystopian imaginaries, mundane services offered in the banking, financial, business or legal sectors offered by actually existing or near-future ADM received most attention. These ADM technologies were sometimes promoted positively in terms of benefits such as efficiencies and cost savings they could offer. However, they were far more frequently framed negatively in terms of actual or potential failures, mistakes, scandals or personal data privacy and security harms. Overall, ADM was positioned as untrustworthy and inferior to human decision-making, requiring close oversight by humans to ensure that Australians would not be disadvantaged or exploited by its irresponsible or thoughtless deployment by government or industry.
{"title":"'Flawed', 'Cruel' and 'Irresponsible': The Framing of Automated Decision-Making Technologies in the Australian Press","authors":"D. Lupton","doi":"10.2139/ssrn.3828952","DOIUrl":"https://doi.org/10.2139/ssrn.3828952","url":null,"abstract":"This discussion paper outlines the findings of a qualitative news framing analysis of automated decision-making (ADM) technologies in the mainstream Australian press between 1997 and 2021. All articles including a reference to ADM in these media were identified using the Factiva news monitoring database. These articles, 40 in total, were then analysed for the ways ADM was framed, including paying attention to the headline, the broad and specific topics featured in each article, the news sources, whose interests received attention and the overall tenor of each article. For comparison purposes, I also conducted separate searches for each of the terms ‘artificial intelligence’, ‘algorithm/s, algorithmic’, robot/s/robotic’ and ‘face/facial recognition’. This analysis found a very low level of Australian news outlet reporting using the term ‘automated decision-making’. In some of the news stories, ADM was only briefly mentioned as part of broader discussions about software and big data. By contrast, other related digital technologies have been far more highly reported. The analysis also revealed that two news outlets (The Australian Financial Review and The Australian) and topics have dominated the very small corpus of Australian print news reporting specifically referring to ADM and that therefore, the vast majority of Australian news consumers would not have been exposed to such reports. The broad topics of services were most prevalent in the news reports. For the most part, rather than speculations about the futures of ADM employing techno-utopian or dystopian imaginaries, mundane services offered in the banking, financial, business or legal sectors offered by actually existing or near-future ADM received most attention. These ADM technologies were sometimes promoted positively in terms of benefits such as efficiencies and cost savings they could offer. However, they were far more frequently framed negatively in terms of actual or potential failures, mistakes, scandals or personal data privacy and security harms. Overall, ADM was positioned as untrustworthy and inferior to human decision-making, requiring close oversight by humans to ensure that Australians would not be disadvantaged or exploited by its irresponsible or thoughtless deployment by government or industry.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85409609","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}
We start by considering some of the key reasons behind the academic and industry interest in robo-advisors. We discuss how robo-advice could potentially address some fundamental problems in investors’ decision making as well as in traditional financial advice. We then move on to some of the ongoing issues regarding the future of robo-advice. Firstly, the role Artificial Intelligence (AI) plays, and should play, in robo-advice. Secondly, how far should the personalisation of robo-advice recommendations go. Third, how trust in automated financial advice can be generated and maintained. Fourth, whether robots are perceived as complements or substitutes to human decision-making. Our conclusion outlines some thoughts on what the next generation of robo-advisors might look like. We highlight the importance of recent insights in Explainable AI and how new forms of AI applied to financial services would benefit from importing insights from economics and psychology to design effective human/robot interaction.
{"title":"Robo-Advising: Less AI and More XAI?","authors":"Milo Bianchi, M. Brière","doi":"10.2139/ssrn.3825110","DOIUrl":"https://doi.org/10.2139/ssrn.3825110","url":null,"abstract":"We start by considering some of the key reasons behind the academic and industry interest in robo-advisors. We discuss how robo-advice could potentially address some fundamental problems in investors’ decision making as well as in traditional financial advice. We then move on to some of the ongoing issues regarding the future of robo-advice. Firstly, the role Artificial Intelligence (AI) plays, and should play, in robo-advice. Secondly, how far should the personalisation of robo-advice recommendations go. Third, how trust in automated financial advice can be generated and maintained. Fourth, whether robots are perceived as complements or substitutes to human decision-making. Our conclusion outlines some thoughts on what the next generation of robo-advisors might look like. We highlight the importance of recent insights in Explainable AI and how new forms of AI applied to financial services would benefit from importing insights from economics and psychology to design effective human/robot interaction.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88440087","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}
When the Internet has entered into our daily life, the most dimensions of our life such as education, communication, business etc are transformed into this novel phenomenon. One of the important dimensions is to handle banking affairs through the internet. The recent studies show that banking through electronic channels have gained much popularity in recent years. This financial system delivers faster services to a wide range of customers in their hands. In this current business environment customer using the banking service products need a better choice where there is always a human touch in the customer services. The capability of the banking staff can be expected to directly affect the customer’s satisfaction. The preference and need of the customers can be tailor – made with better technologies in payment systems. This study empirically investigates E-commerce adoption of youngsters. This research purpose model is based on the TAM framework to understand E-commerce adoption along with the factors affecting the adoption. The study supports the implementation of strategies that encourage usage and adoption of E-Commerce services. The present study makes an attempt to investigate the adoption level of E-Commerce services among youngsters for the economic growth of the nation.
{"title":"Decision Making Model for Adoption of Digital Payments among Youngsters: An Exploration","authors":"S. Balamurugan, S. M","doi":"10.2139/ssrn.3825029","DOIUrl":"https://doi.org/10.2139/ssrn.3825029","url":null,"abstract":"When the Internet has entered into our daily life, the most dimensions of our life such as education, communication, business etc are transformed into this novel phenomenon. One of the important dimensions is to handle banking affairs through the internet. The recent studies show that banking through electronic channels have gained much popularity in recent years. This financial system delivers faster services to a wide range of customers in their hands. In this current business environment customer using the banking service products need a better choice where there is always a human touch in the customer services. The capability of the banking staff can be expected to directly affect the customer’s satisfaction. The preference and need of the customers can be tailor – made with better technologies in payment systems. This study empirically investigates E-commerce adoption of youngsters. This research purpose model is based on the TAM framework to understand E-commerce adoption along with the factors affecting the adoption. The study supports the implementation of strategies that encourage usage and adoption of E-Commerce services. The present study makes an attempt to investigate the adoption level of E-Commerce services among youngsters for the economic growth of the nation.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85786614","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 proposes a system of semiparametric time-varying models for predictive regressions, where a locally stationary process in the form of time-varying autoregression is introduced to model varying-persistent predictors, and parameter instability and embedded endogeneity have also been taken into account simultaneously. We employ a semiparametric profile likelihood approach to estimate both constant parameters and time-varying functional coefficients, and we further establish the asymptotic theory of the estimators in the system. Monte Carlo simulations show that the proposed estimation method works very well in finite samples. Empirically, we find that the popular predictors considered in the literature are well approximated by a time-varying first-order autoregressive process, those predictors generally contain significant and time-varying predictive content of future equity premium, and taking embedded endogeneity into account helps to identify the existence of return predictability.
{"title":"A System of Time-Varying Models for Predictive Regressions","authors":"Deshui Yu, Yayi Yan","doi":"10.2139/ssrn.3818009","DOIUrl":"https://doi.org/10.2139/ssrn.3818009","url":null,"abstract":"This paper proposes a system of semiparametric time-varying models for predictive regressions, where a locally stationary process in the form of time-varying autoregression is introduced to model varying-persistent predictors, and parameter instability and embedded endogeneity have also been taken into account simultaneously. We employ a semiparametric profile likelihood approach to<br>estimate both constant parameters and time-varying functional coefficients, and we further establish the asymptotic theory of the estimators in the system. Monte Carlo simulations show that the proposed estimation method works very well in finite samples. Empirically, we find that the popular predictors considered in the literature are well approximated by a time-varying first-order autoregressive process, those predictors generally contain significant and time-varying predictive content of future equity premium, and taking embedded endogeneity into account helps to identify the existence of return predictability.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85386374","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}
Nicole Gürtzgen, B. Lochner, L. Pohlan, Gerard J. van den Berg
Abstract This paper studies the effects of the high-speed internet expansion on the match quality of new hires. We combine data on internet availability at the local level with German individual register and vacancy data. Results show that internet availability has no major impact on the stability of new matches and their wages. We confirm these findings using vacancy data, by explicitly comparing match outcomes of online and non-online recruits. Further results show that online recruiting not only raises the number of applicants and the share of unsuitable candidates per vacancy, but also induces employers to post more vacancies.
{"title":"Does Online Search Improve the Match Quality of New Hires?","authors":"Nicole Gürtzgen, B. Lochner, L. Pohlan, Gerard J. van den Berg","doi":"10.2139/ssrn.3779129","DOIUrl":"https://doi.org/10.2139/ssrn.3779129","url":null,"abstract":"Abstract This paper studies the effects of the high-speed internet expansion on the match quality of new hires. We combine data on internet availability at the local level with German individual register and vacancy data. Results show that internet availability has no major impact on the stability of new matches and their wages. We confirm these findings using vacancy data, by explicitly comparing match outcomes of online and non-online recruits. Further results show that online recruiting not only raises the number of applicants and the share of unsuitable candidates per vacancy, but also induces employers to post more vacancies.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82245918","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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