Digital inclusion (DI) is acknowledged not just as a foundation for economic advancement, but also as a noteworthy catalyst for societal development. This will lead to the reduction of the digital gap. Nevertheless, the pursuit of achieving DI has not undergone substantial scholarly examination. Through an in-depth analysis of the highly successful TaoBao Village in rural China, we propose a procedural framework illustrating the evolution of digital inclusion. This investigation highlights that the realization of digital inclusion relies on a self-determination mechanism, progressing through three distinct phases. Each phase, in turn, consists of three steps: Establishing motivational drivers, facilitating IS capabilities and extend of digital inclusion. Thus, this article constructs and presents a comprehensive process model of digital inclusion that vividly portrays the implementation of these three pivotal steps to bridge the digital divide.
{"title":"A Self-Determination Perspective of Digital Inclusion","authors":"Lin Yue, Lili Cui","doi":"10.4018/jgim.340942","DOIUrl":"https://doi.org/10.4018/jgim.340942","url":null,"abstract":"Digital inclusion (DI) is acknowledged not just as a foundation for economic advancement, but also as a noteworthy catalyst for societal development. This will lead to the reduction of the digital gap. Nevertheless, the pursuit of achieving DI has not undergone substantial scholarly examination. Through an in-depth analysis of the highly successful TaoBao Village in rural China, we propose a procedural framework illustrating the evolution of digital inclusion. This investigation highlights that the realization of digital inclusion relies on a self-determination mechanism, progressing through three distinct phases. Each phase, in turn, consists of three steps: Establishing motivational drivers, facilitating IS capabilities and extend of digital inclusion. Thus, this article constructs and presents a comprehensive process model of digital inclusion that vividly portrays the implementation of these three pivotal steps to bridge the digital divide.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Peijin Li, Xiutong Yi, Chonghui Zhang, Tomas Baležentis
Although shadow banking widely exists in the financial systems of various countries, their definitions vary significantly due to specific economic and financial characteristics. This paper classifies Chinese shadow banking into six categories: securities, trust, private lending, banking, fund, and insurance. The AR-GARCH-DCC model is used to measure systemic risk spillover through from an industrial and institutional perspective. The network topology index is employed to analyze risk contagion and further explore influencing factors. Firstly, based on the results of the AR-GARCH-DCC, the estimated dynamic volatility (σ) indicates that shadow banking risk spillover is time-varying, especially in trust and securities. Second, according to the static risk spillover analysis, various institutions play different roles and can transform between risk spillovers and overflowers. Thirdly, eigenvector centrality, leverage, assets, CPI, and macroeconomic prosperity significantly impact shadow banking systemic risk spillover.
{"title":"Indispensable Source of Risk Contagion With Big Data Analysis From a More Comprehensive View on Shadow Banking","authors":"Peijin Li, Xiutong Yi, Chonghui Zhang, Tomas Baležentis","doi":"10.4018/jgim.339190","DOIUrl":"https://doi.org/10.4018/jgim.339190","url":null,"abstract":"Although shadow banking widely exists in the financial systems of various countries, their definitions vary significantly due to specific economic and financial characteristics. This paper classifies Chinese shadow banking into six categories: securities, trust, private lending, banking, fund, and insurance. The AR-GARCH-DCC model is used to measure systemic risk spillover through from an industrial and institutional perspective. The network topology index is employed to analyze risk contagion and further explore influencing factors. Firstly, based on the results of the AR-GARCH-DCC, the estimated dynamic volatility (σ) indicates that shadow banking risk spillover is time-varying, especially in trust and securities. Second, according to the static risk spillover analysis, various institutions play different roles and can transform between risk spillovers and overflowers. Thirdly, eigenvector centrality, leverage, assets, CPI, and macroeconomic prosperity significantly impact shadow banking systemic risk spillover.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140263089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Given the significant growth potential in households' energy consumption in China, studying household consumption behavior becomes even more valuable. This study explores factors influencing the shift in households' energy-saving preferences from habitual energy-saving behavior to consumption-oriented energy-saving behavior, as well as to analyze the potential for using other green alternatives to traditional energy in energy consumption. Empirical results reveal an inverted U-shaped relationship between household income and energy consumption, occurring when energy-saving awareness (ESA) exceeds a critical threshold. Below this threshold, household income is positively correlated with energy consumption. Further analysis indicated that once income exceeds the turning point, households' higher ESA leads to reduced energy consumption, indicating potential for green alternatives in higher-income households. Overall, the study highlights how awareness and income interact to shape energy-saving choices, emphasizing the potential for sustainable energy options in affluent households.
鉴于中国家庭能源消费的巨大增长潜力，对家庭消费行为的研究变得更加有价值。本研究探讨了影响家庭节能偏好从习惯性节能行为向消费型节能行为转变的因素，并分析了在能源消费中使用其他绿色能源替代传统能源的潜力。实证结果显示，当节能意识（ESA）超过临界值时，家庭收入与能源消耗之间会出现倒 U 型关系。低于该临界值时，家庭收入与能源消耗呈正相关。进一步的分析表明，一旦收入超过转折点，家庭较高的节能意识会导致能源消耗的减少，这表明高收入家庭具有使用绿色替代品的潜力。总之，这项研究强调了意识和收入如何相互作用，形成节能选择，并强调了富裕家庭可持续能源选择的潜力。
{"title":"Management of Household Energy Saving and Its Green Alternatives","authors":"Qiao Qiao, Boqiang Lin","doi":"10.4018/jgim.338308","DOIUrl":"https://doi.org/10.4018/jgim.338308","url":null,"abstract":"Given the significant growth potential in households' energy consumption in China, studying household consumption behavior becomes even more valuable. This study explores factors influencing the shift in households' energy-saving preferences from habitual energy-saving behavior to consumption-oriented energy-saving behavior, as well as to analyze the potential for using other green alternatives to traditional energy in energy consumption. Empirical results reveal an inverted U-shaped relationship between household income and energy consumption, occurring when energy-saving awareness (ESA) exceeds a critical threshold. Below this threshold, household income is positively correlated with energy consumption. Further analysis indicated that once income exceeds the turning point, households' higher ESA leads to reduced energy consumption, indicating potential for green alternatives in higher-income households. Overall, the study highlights how awareness and income interact to shape energy-saving choices, emphasizing the potential for sustainable energy options in affluent households.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139958867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the emergency decision-making problem of major emergencies, this article proposes a large group emergency decision-making (LGEDM) approach with public opinions mining on hesitation fuzzy language term set (HFLTS). First, extract keywords that represent general preferences on events from the Weibo platform, classify keywords using the word similarity-based keyword clustering algorithm and identify decision attributes and their weights. Next, define the similarity measure and hesitation fuzzy entropy measure of HFLTS, quantify the decision risk of experts using the risk measurement model, and cluster all experts into several subgroups using the risk metric-based group clustering algorithm. Subsequently, assign clusters' weights on their risk value and size and obtain each cluster's preference matrix by the HIOWA operator. Finally, derive the ranking results of alternatives using the sorting process, and an example of “COVID-19” is presented to verify the rationality and effectiveness of the proposed method.
{"title":"A Large Group Emergency Decision-Making Approach on HFLTS With Public Preference Data Mining","authors":"Mengke Zhao, Ji Guo, Xianhua Wu","doi":"10.4018/jgim.337610","DOIUrl":"https://doi.org/10.4018/jgim.337610","url":null,"abstract":"Aiming at the emergency decision-making problem of major emergencies, this article proposes a large group emergency decision-making (LGEDM) approach with public opinions mining on hesitation fuzzy language term set (HFLTS). First, extract keywords that represent general preferences on events from the Weibo platform, classify keywords using the word similarity-based keyword clustering algorithm and identify decision attributes and their weights. Next, define the similarity measure and hesitation fuzzy entropy measure of HFLTS, quantify the decision risk of experts using the risk measurement model, and cluster all experts into several subgroups using the risk metric-based group clustering algorithm. Subsequently, assign clusters' weights on their risk value and size and obtain each cluster's preference matrix by the HIOWA operator. Finally, derive the ranking results of alternatives using the sorting process, and an example of “COVID-19” is presented to verify the rationality and effectiveness of the proposed method.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139856898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the emergency decision-making problem of major emergencies, this article proposes a large group emergency decision-making (LGEDM) approach with public opinions mining on hesitation fuzzy language term set (HFLTS). First, extract keywords that represent general preferences on events from the Weibo platform, classify keywords using the word similarity-based keyword clustering algorithm and identify decision attributes and their weights. Next, define the similarity measure and hesitation fuzzy entropy measure of HFLTS, quantify the decision risk of experts using the risk measurement model, and cluster all experts into several subgroups using the risk metric-based group clustering algorithm. Subsequently, assign clusters' weights on their risk value and size and obtain each cluster's preference matrix by the HIOWA operator. Finally, derive the ranking results of alternatives using the sorting process, and an example of “COVID-19” is presented to verify the rationality and effectiveness of the proposed method.
{"title":"A Large Group Emergency Decision-Making Approach on HFLTS With Public Preference Data Mining","authors":"Mengke Zhao, Ji Guo, Xianhua Wu","doi":"10.4018/jgim.337610","DOIUrl":"https://doi.org/10.4018/jgim.337610","url":null,"abstract":"Aiming at the emergency decision-making problem of major emergencies, this article proposes a large group emergency decision-making (LGEDM) approach with public opinions mining on hesitation fuzzy language term set (HFLTS). First, extract keywords that represent general preferences on events from the Weibo platform, classify keywords using the word similarity-based keyword clustering algorithm and identify decision attributes and their weights. Next, define the similarity measure and hesitation fuzzy entropy measure of HFLTS, quantify the decision risk of experts using the risk measurement model, and cluster all experts into several subgroups using the risk metric-based group clustering algorithm. Subsequently, assign clusters' weights on their risk value and size and obtain each cluster's preference matrix by the HIOWA operator. Finally, derive the ranking results of alternatives using the sorting process, and an example of “COVID-19” is presented to verify the rationality and effectiveness of the proposed method.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139797109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and approaches currently used to reuse, dispose of, recycle, and address this continues to vary widely in terms of availability, effectiveness, and value. The issues relating to e-waste management include those emanating from managerial, environmental, labor, and health perspectives. This article aims to present an overview of the key considerations related to the e-waste dilemma, and also proposes issues, challenges, and solutions to addressing the problem. A focus on the factors and variables affecting e-waste management, together with a global framework of e-waste management methods and strategies, are then followed by recommendations and viable areas for future research.
{"title":"E-Waste","authors":"Jeffrey Hsu, John Wang, Mel Stern","doi":"10.4018/jgim.337134","DOIUrl":"https://doi.org/10.4018/jgim.337134","url":null,"abstract":"E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and approaches currently used to reuse, dispose of, recycle, and address this continues to vary widely in terms of availability, effectiveness, and value. The issues relating to e-waste management include those emanating from managerial, environmental, labor, and health perspectives. This article aims to present an overview of the key considerations related to the e-waste dilemma, and also proposes issues, challenges, and solutions to addressing the problem. A focus on the factors and variables affecting e-waste management, together with a global framework of e-waste management methods and strategies, are then followed by recommendations and viable areas for future research.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and approaches currently used to reuse, dispose of, recycle, and address this continues to vary widely in terms of availability, effectiveness, and value. The issues relating to e-waste management include those emanating from managerial, environmental, labor, and health perspectives. This article aims to present an overview of the key considerations related to the e-waste dilemma, and also proposes issues, challenges, and solutions to addressing the problem. A focus on the factors and variables affecting e-waste management, together with a global framework of e-waste management methods and strategies, are then followed by recommendations and viable areas for future research.
{"title":"E-Waste","authors":"Jeffrey Hsu, John Wang, Mel Stern","doi":"10.4018/jgim.337134","DOIUrl":"https://doi.org/10.4018/jgim.337134","url":null,"abstract":"E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and approaches currently used to reuse, dispose of, recycle, and address this continues to vary widely in terms of availability, effectiveness, and value. The issues relating to e-waste management include those emanating from managerial, environmental, labor, and health perspectives. This article aims to present an overview of the key considerations related to the e-waste dilemma, and also proposes issues, challenges, and solutions to addressing the problem. A focus on the factors and variables affecting e-waste management, together with a global framework of e-waste management methods and strategies, are then followed by recommendations and viable areas for future research.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In today's dynamic business environment, numerous organizations are turning to cloud ERP implementation to enhance their operational efficiency and maintain uninterrupted business operations. Consequently, the literature has witnessed a surge in research at the intersection of cloud ERP and enterprise resilience (ER) over the past decade. This paper aims to present a systematic literature review (SLR) and the authors contribute to the existing literature by (1) exploring the connection between cloud ERP and ER, (2) analyzing how cloud ERP supports three key elements of ER—readiness, response, and recovery—and the intertwined mediators and moderators, and (3) proposing a conceptual framework at the nexus of cloud ERP and ER. The review concludes with suggestions for fruitful future research. Not only does this SLR carry several theoretical implications for the literature on cloud ERP and its impact on ER but also provides decision-makers with comprehensive insights into how cloud ERP reinforces ER, thereby ensuring the continuity of business operations in the turbulent business landscape.
{"title":"Bridging the Nexus Between Cloud ERP and Enterprise Resilience","authors":"Ngoc Dang Khoa Nguyen, Imran Ali, Shivam Gupta, Ruihong Chen, Bajjet Sylvester Naresho","doi":"10.4018/jgim.336556","DOIUrl":"https://doi.org/10.4018/jgim.336556","url":null,"abstract":"In today's dynamic business environment, numerous organizations are turning to cloud ERP implementation to enhance their operational efficiency and maintain uninterrupted business operations. Consequently, the literature has witnessed a surge in research at the intersection of cloud ERP and enterprise resilience (ER) over the past decade. This paper aims to present a systematic literature review (SLR) and the authors contribute to the existing literature by (1) exploring the connection between cloud ERP and ER, (2) analyzing how cloud ERP supports three key elements of ER—readiness, response, and recovery—and the intertwined mediators and moderators, and (3) proposing a conceptual framework at the nexus of cloud ERP and ER. The review concludes with suggestions for fruitful future research. Not only does this SLR carry several theoretical implications for the literature on cloud ERP and its impact on ER but also provides decision-makers with comprehensive insights into how cloud ERP reinforces ER, thereby ensuring the continuity of business operations in the turbulent business landscape.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139600515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Governments have embraced platform-based business models, increasingly used in companies, to enhance efficiency, standardize information, and deliver a broader range of information quickly and easily. The integration of platform-based e-information services is essential for innovative e-government policies, as it leads to improvements in administrative efficiency and better information quality. A theoretical review of success factors highlights the significance of service efficiency, user satisfaction, and the intention for continuous use. The authors conducted their own survey of Korean citizens using Government 24, an integrated platform for frontline e-services. Their analysis revealed that information and service quality boost user satisfaction, while system and service quality heighten perceived efficiency. Perceived efficiency and satisfaction in platform-based e-services play a crucial role in encouraging users to continue utilizing these services.
{"title":"Identifying the Determinants of Platform-Based E-Government Service Use","authors":"Hyundong Nam, Taewoo Nam, Songeun Kim","doi":"10.4018/jgim.336554","DOIUrl":"https://doi.org/10.4018/jgim.336554","url":null,"abstract":"Governments have embraced platform-based business models, increasingly used in companies, to enhance efficiency, standardize information, and deliver a broader range of information quickly and easily. The integration of platform-based e-information services is essential for innovative e-government policies, as it leads to improvements in administrative efficiency and better information quality. A theoretical review of success factors highlights the significance of service efficiency, user satisfaction, and the intention for continuous use. The authors conducted their own survey of Korean citizens using Government 24, an integrated platform for frontline e-services. Their analysis revealed that information and service quality boost user satisfaction, while system and service quality heighten perceived efficiency. Perceived efficiency and satisfaction in platform-based e-services play a crucial role in encouraging users to continue utilizing these services.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139605004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yongling Zhang, Huaqing Du, Tianyu Piao, Hongyu Shi, S. Tsai
As the global market continues to evolve and competition escalates, the business environment becomes increasingly competitive. How manufacturing companies improve their competitiveness has always been a topic of great concern. Service transformation and product innovation are key factors and are considered to be important ways for enterprises to stand out in the market. Traditional service transformation and product innovation processes often face complex problems, including the diversity of customer needs and fierce market competition. This makes it difficult for companies to accurately capture market opportunities, provide personalized solutions, and respond quickly to changes. At the same time, many companies also face problems with product quality control and production efficiency, which further weakens their competitiveness. It is against this background that the importance of computer vision technology has become increasingly prominent.
{"title":"How Manufacturing Companies Can Improve Their Competitiveness","authors":"Yongling Zhang, Huaqing Du, Tianyu Piao, Hongyu Shi, S. Tsai","doi":"10.4018/jgim.336485","DOIUrl":"https://doi.org/10.4018/jgim.336485","url":null,"abstract":"As the global market continues to evolve and competition escalates, the business environment becomes increasingly competitive. How manufacturing companies improve their competitiveness has always been a topic of great concern. Service transformation and product innovation are key factors and are considered to be important ways for enterprises to stand out in the market. Traditional service transformation and product innovation processes often face complex problems, including the diversity of customer needs and fierce market competition. This makes it difficult for companies to accurately capture market opportunities, provide personalized solutions, and respond quickly to changes. At the same time, many companies also face problems with product quality control and production efficiency, which further weakens their competitiveness. It is against this background that the importance of computer vision technology has become increasingly prominent.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139617764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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