Pub Date : 2021-10-01DOI: 10.4018/ijisss.2021100105
L. Tsai
The following research attempts to investigate the determinants influencing consumers' intention to adopt mobile payment (MP). The research model was adapted based on three constructs from the unified theory of acceptance and use of technology (UTAUT), including performance expectancy, effort expectancy, and facilitating conditions in the research model. In addition, usage experience was also added to the model to test for moderating effect. An online survey conducted through Taiwanese chat rooms resulted in 348 valid responses, which were analyzed using Smart PLS. Results indicated that (1) effort expectancy, performance expectancy, and facilitating conditions were three major factors influencing intention to use mobile payment; (2) facilitating conditions played a significant role in impacting effort expectancy and performance expectancy; (3) usage experience positively moderated the relationship between facilitating conditions and performance expectancy; and (4) usage experience also positively moderated the relationship between facilitating conditions and effort expectancy.
{"title":"Evaluating the Effects of Facilitating Conditions and Usage Experience on Mobile Payment","authors":"L. Tsai","doi":"10.4018/ijisss.2021100105","DOIUrl":"https://doi.org/10.4018/ijisss.2021100105","url":null,"abstract":"The following research attempts to investigate the determinants influencing consumers' intention to adopt mobile payment (MP). The research model was adapted based on three constructs from the unified theory of acceptance and use of technology (UTAUT), including performance expectancy, effort expectancy, and facilitating conditions in the research model. In addition, usage experience was also added to the model to test for moderating effect. An online survey conducted through Taiwanese chat rooms resulted in 348 valid responses, which were analyzed using Smart PLS. Results indicated that (1) effort expectancy, performance expectancy, and facilitating conditions were three major factors influencing intention to use mobile payment; (2) facilitating conditions played a significant role in impacting effort expectancy and performance expectancy; (3) usage experience positively moderated the relationship between facilitating conditions and performance expectancy; and (4) usage experience also positively moderated the relationship between facilitating conditions and effort expectancy.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129093224","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 : 2021-10-01DOI: 10.4018/ijisss.2021100104
A. Al-Dmour, R. Al-Dmour, H. Al-dmour, Eatadal Basheer Ahmadamin
This study aims to examine and validate the impact of big data analytical capabilities (individual, organizational, and technological) on bank performance via the mediating role of Fintech innovation in commercial banks operating in the United Arab Emirates (UAE). Based on a literature review, resource-based theory, and financial innovation theory, an integrated conceptual framework was developed to guide the study. A quantitative survey approach was used, and the data was collected from 236 banks' senior managers (IT, financial, and marketers). Amos 21 structural equation modeling (SEM) was used to analyze and verify the study variables. The main findings revealed that big data analytical capabilities had a significant positive influence on bank performance. Fintech innovation acted as partial mediators in this relationship.
{"title":"The Effect of Big Data Analytic Capabilities Upon Bank Performance via FinTech Innovation: UAE Evidence","authors":"A. Al-Dmour, R. Al-Dmour, H. Al-dmour, Eatadal Basheer Ahmadamin","doi":"10.4018/ijisss.2021100104","DOIUrl":"https://doi.org/10.4018/ijisss.2021100104","url":null,"abstract":"This study aims to examine and validate the impact of big data analytical capabilities (individual, organizational, and technological) on bank performance via the mediating role of Fintech innovation in commercial banks operating in the United Arab Emirates (UAE). Based on a literature review, resource-based theory, and financial innovation theory, an integrated conceptual framework was developed to guide the study. A quantitative survey approach was used, and the data was collected from 236 banks' senior managers (IT, financial, and marketers). Amos 21 structural equation modeling (SEM) was used to analyze and verify the study variables. The main findings revealed that big data analytical capabilities had a significant positive influence on bank performance. Fintech innovation acted as partial mediators in this relationship.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134316036","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 : 2021-10-01DOI: 10.4018/ijisss.2021100103
V. Sathiyamoorthi, T. Ravishankar, K. IlavarasiA., S. Udayakumar, Karthikeyan Harimoorthy, N. Jayapandian, V. Saravanan
Reviewing and buying the right goods from online websites is growing day by day in today's fast internet environment. Numerous goods in the same label are available to consumers. It is thus a difficult job for consumers to pick up the correct commodity at a decent price under different market conditions. Therefore, it is important for owners of online shopping websites to better understand their customers' needs and offer better services. For these reasons, the access log documented a vast amount of data related to user interactions with the websites. This access log therefore plays a key role in predicting user access trends and in recommending the best product to consumers. This research work therefore focuses on one such methodology for evaluating the pattern and behavioral analysis of users in e-commerce websites.
{"title":"Usage Data for Predicting User Trends and Behavioral Analysis in E-Commerce Applications","authors":"V. Sathiyamoorthi, T. Ravishankar, K. IlavarasiA., S. Udayakumar, Karthikeyan Harimoorthy, N. Jayapandian, V. Saravanan","doi":"10.4018/ijisss.2021100103","DOIUrl":"https://doi.org/10.4018/ijisss.2021100103","url":null,"abstract":"Reviewing and buying the right goods from online websites is growing day by day in today's fast internet environment. Numerous goods in the same label are available to consumers. It is thus a difficult job for consumers to pick up the correct commodity at a decent price under different market conditions. Therefore, it is important for owners of online shopping websites to better understand their customers' needs and offer better services. For these reasons, the access log documented a vast amount of data related to user interactions with the websites. This access log therefore plays a key role in predicting user access trends and in recommending the best product to consumers. This research work therefore focuses on one such methodology for evaluating the pattern and behavioral analysis of users in e-commerce websites.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332986","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 : 2021-10-01DOI: 10.4018/ijisss.2021100102
Yinglian Zhou, Jifeng Chen
Driven by experience and social impact of the new life, user preferences continue to change over time. In order to make up for the shortcomings of existing geographic social network models that often cannot obtain user dynamic preferences, a time-series geographic social network model was constructed to detect user dynamic preferences, a dynamic preference value model was built for user dynamic preference evaluation, and a dynamic preferences group query (DPG) was proposed in this paper . In order to optimize the efficiency of the DPG query algorithm, the UTC-tree index user timing check-in record is designed. UTC-tree avoids traversing all user check-in records in the query, accelerating user dynamic preference evaluation. Finally, the DPG query algorithm is used to implement a well-interacted DPG query system. Through a large number of comparative experiments, the validity of UTC-tree and the scalability of DPG query are verified.
{"title":"Time Series Geographic Social Network Dynamic Preference Group Query","authors":"Yinglian Zhou, Jifeng Chen","doi":"10.4018/ijisss.2021100102","DOIUrl":"https://doi.org/10.4018/ijisss.2021100102","url":null,"abstract":"Driven by experience and social impact of the new life, user preferences continue to change over time. In order to make up for the shortcomings of existing geographic social network models that often cannot obtain user dynamic preferences, a time-series geographic social network model was constructed to detect user dynamic preferences, a dynamic preference value model was built for user dynamic preference evaluation, and a dynamic preferences group query (DPG) was proposed in this paper . In order to optimize the efficiency of the DPG query algorithm, the UTC-tree index user timing check-in record is designed. UTC-tree avoids traversing all user check-in records in the query, accelerating user dynamic preference evaluation. Finally, the DPG query algorithm is used to implement a well-interacted DPG query system. Through a large number of comparative experiments, the validity of UTC-tree and the scalability of DPG query are verified.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130537315","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 : 2021-04-01DOI: 10.4018/IJISSS.2021040103
A. Amaro, J. Domingos, J. Carvalho
This paper studies the food waste problem in private and public collective catering units (CCU), served by a Portuguese catering company. The main objective is to develop data analysis and decision tools that may contribute to the waste control and to the operational planning of CCU. A set of novel key performance indicators (KPIs) are settled and evaluated to characterize food waste over time. For these indicators, several representations were studied, tested, and validated to create a dashboard intended to be clear and intuitive, regarding the food wastes. Operating practices require simple, objective, replicable, and ideally inexpensive data collection procedures. So, the proposed solution accounts for the trade-off between the details of the created data model and the associated data synthesis and visualization. The proposal (indicators and dashboard) was submitted to four weeks of tests, in six CCUs. The organizational validation achieved allows the conclusion about the interest of this contribution.
{"title":"Waste Control in a Catering Company: Data Analysis and Decision Interfaces","authors":"A. Amaro, J. Domingos, J. Carvalho","doi":"10.4018/IJISSS.2021040103","DOIUrl":"https://doi.org/10.4018/IJISSS.2021040103","url":null,"abstract":"This paper studies the food waste problem in private and public collective catering units (CCU), served by a Portuguese catering company. The main objective is to develop data analysis and decision tools that may contribute to the waste control and to the operational planning of CCU. A set of novel key performance indicators (KPIs) are settled and evaluated to characterize food waste over time. For these indicators, several representations were studied, tested, and validated to create a dashboard intended to be clear and intuitive, regarding the food wastes. Operating practices require simple, objective, replicable, and ideally inexpensive data collection procedures. So, the proposed solution accounts for the trade-off between the details of the created data model and the associated data synthesis and visualization. The proposal (indicators and dashboard) was submitted to four weeks of tests, in six CCUs. The organizational validation achieved allows the conclusion about the interest of this contribution.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129974890","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 : 2021-04-01DOI: 10.4018/IJISSS.2021040102
Mokhtar Abdulhakim Alsabahi, Ku Maisurah Ku Bahador, Rafeah Mat Saat
This study examines the skill development factors influencing Information Technology (IT) competency in respect of external auditors. It applies the human capital theory (HCT) as the underpinning theory to develop the research framework. A questionnaire is administered to 328 external auditors in public and private audit companies in Yemen. Data are analysed via the partial least square-structural equation modeling (PLS-SEM) approach to examine the posited research hypotheses. The PLS-SEM approach reveals that self-direct learning is the strongest factor that influences the IT competency of auditors. This is followed by accounting education that records a significant positive effect on IT competency. The originality of this study is the application of the quantitative method to investigate the factors that influence IT competency among external auditors in developing countries, such as Yemen, who are facing the issue of low level IT competency in doing their tasks. The results underpin new and extensive inputs into skills and enlarge the emergent literature related to skills and competency development in IT.
{"title":"Skills Development Factors of Information Technology Competency Among External Auditors","authors":"Mokhtar Abdulhakim Alsabahi, Ku Maisurah Ku Bahador, Rafeah Mat Saat","doi":"10.4018/IJISSS.2021040102","DOIUrl":"https://doi.org/10.4018/IJISSS.2021040102","url":null,"abstract":"This study examines the skill development factors influencing Information Technology (IT) competency in respect of external auditors. It applies the human capital theory (HCT) as the underpinning theory to develop the research framework. A questionnaire is administered to 328 external auditors in public and private audit companies in Yemen. Data are analysed via the partial least square-structural equation modeling (PLS-SEM) approach to examine the posited research hypotheses. The PLS-SEM approach reveals that self-direct learning is the strongest factor that influences the IT competency of auditors. This is followed by accounting education that records a significant positive effect on IT competency. The originality of this study is the application of the quantitative method to investigate the factors that influence IT competency among external auditors in developing countries, such as Yemen, who are facing the issue of low level IT competency in doing their tasks. The results underpin new and extensive inputs into skills and enlarge the emergent literature related to skills and competency development in IT.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128786426","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 : 2021-04-01DOI: 10.4018/IJISSS.2021040101
E. Daniel, S. Durga, M. Vijila
Cloud storage offers online storage services to back up data and enables easy access to real-time data at any time and on the fly. The primary issue of security arises as the data is outsourced to remote servers that cause data loss and modifications to occur. Data corruptions or misbehaviours in the cloud service providers (CSP) have to be detected at low cost and promptly. The data outsourced to CSP by the data owners might suffer from cloud service provider misbehaviour, in particular unauthorized deletion of data by CSP to save storage space towards attracting potential clients. Adapting continuous sampling of random blocks as batches reduce the computation workload on the servers, thus detecting the modifications or corruptions if any without time delays. The corrupted data blocks are located with continuous sampling methods and the probability of detection is high.
{"title":"A Continuous Sampling Method for Batch Data Auditing in Cloud Storage","authors":"E. Daniel, S. Durga, M. Vijila","doi":"10.4018/IJISSS.2021040101","DOIUrl":"https://doi.org/10.4018/IJISSS.2021040101","url":null,"abstract":"Cloud storage offers online storage services to back up data and enables easy access to real-time data at any time and on the fly. The primary issue of security arises as the data is outsourced to remote servers that cause data loss and modifications to occur. Data corruptions or misbehaviours in the cloud service providers (CSP) have to be detected at low cost and promptly. The data outsourced to CSP by the data owners might suffer from cloud service provider misbehaviour, in particular unauthorized deletion of data by CSP to save storage space towards attracting potential clients. Adapting continuous sampling of random blocks as batches reduce the computation workload on the servers, thus detecting the modifications or corruptions if any without time delays. The corrupted data blocks are located with continuous sampling methods and the probability of detection is high.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132243292","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 : 2021-04-01DOI: 10.4018/IJISSS.2021040104
Maksim Goman, S. Koch
Measuring total performance of prospective alternatives in decision making (DM) needs aggregation of their noncomparable properties which often have different scales of measure. In order to address this, scale transformations and normalization are applied, but problems of validation of such additive models and interpretation of the physical sense of the result arise. In this paper, a multiplicative performance aggregation of properties' values is suggested for DM. Application of the approach enables consistent and unambiguous ranking of the alternatives allowing values of all their properties of interest. A realistic example of DM related to audit activity planning is considered where several competing control areas should be selected into an audit plan. Beyond audit planning, the approach is generalizable to other DM problems in corporate management and governance where one needs to rank alternatives compared in multiple dimensions.
{"title":"Aggregating Multidimensional Criteria in Audit Decision Making","authors":"Maksim Goman, S. Koch","doi":"10.4018/IJISSS.2021040104","DOIUrl":"https://doi.org/10.4018/IJISSS.2021040104","url":null,"abstract":"Measuring total performance of prospective alternatives in decision making (DM) needs aggregation of their noncomparable properties which often have different scales of measure. In order to address this, scale transformations and normalization are applied, but problems of validation of such additive models and interpretation of the physical sense of the result arise. In this paper, a multiplicative performance aggregation of properties' values is suggested for DM. Application of the approach enables consistent and unambiguous ranking of the alternatives allowing values of all their properties of interest. A realistic example of DM related to audit activity planning is considered where several competing control areas should be selected into an audit plan. Beyond audit planning, the approach is generalizable to other DM problems in corporate management and governance where one needs to rank alternatives compared in multiple dimensions.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186688","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 : 2021-04-01DOI: 10.4018/IJISSS.2021040105
L. Smidt, L. Steenkamp, Aidi Ahmi, D. V. D. Nest, D. Lubbe
This article explores the purpose for which GAS, as a data analytics tool, is utilised by internal audit functions in Australia. A quantitative research method was applied, and the data was analysed using descriptive statistics. The total number of online questionnaires returned was 50 (i.e., a response rate of 15.53%) from the total research population of 322 chief audit executives of internal audit functions of organisations that are registered members with the IIA-Australia. The purpose of descriptive statistics is to describe what the data looks like and to compare variables numerically; therefore, no inferences or extrapolation of the data results were made. The results of the study can be used as a benchmark that may enable CAEs to identify whether they are staying abreast of current best practice in the area of technology-based tools and techniques for tests of controls.
{"title":"Assessment of the Purpose of the Use of GAS: A Perspective of Internal Audit Functions in Australia","authors":"L. Smidt, L. Steenkamp, Aidi Ahmi, D. V. D. Nest, D. Lubbe","doi":"10.4018/IJISSS.2021040105","DOIUrl":"https://doi.org/10.4018/IJISSS.2021040105","url":null,"abstract":"This article explores the purpose for which GAS, as a data analytics tool, is utilised by internal audit functions in Australia. A quantitative research method was applied, and the data was analysed using descriptive statistics. The total number of online questionnaires returned was 50 (i.e., a response rate of 15.53%) from the total research population of 322 chief audit executives of internal audit functions of organisations that are registered members with the IIA-Australia. The purpose of descriptive statistics is to describe what the data looks like and to compare variables numerically; therefore, no inferences or extrapolation of the data results were made. The results of the study can be used as a benchmark that may enable CAEs to identify whether they are staying abreast of current best practice in the area of technology-based tools and techniques for tests of controls.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030660","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 : 2020-10-01DOI: 10.4018/IJISSS.2020100103
Mugdha Shailendra Kulkarni, S. Bharathi
The purpose of this research is to study how intellectual capital impacts firm performance in information technology companies in India. Based on an extensive review of the existing literature, critical factors of intellectual capital (human capital, structural capital, and relational capital), and firm performance (financial performance and brand reputation) were defined to build a theoretical (causal) model. Senior executives of Indian IT companies (N=112) formed the sample for the empirical study. Using structural equation modeling, the study found human capital and structural capital impact brand reputation and financial performance. Interestingly, relational capital impacted financial performance and not brand reputation. The outcome of this research is significant in two ways: one, it explored the impact of intellectual capital on brand reputation and financial performance, which underpins research directions from the literature, and two, it contributed to the comparatively less-researched contextual relevance from an Indian information technology company perspective.
{"title":"Intellectual Capital in Information Technology Companies in India: An Impact Study on Firm Performance","authors":"Mugdha Shailendra Kulkarni, S. Bharathi","doi":"10.4018/IJISSS.2020100103","DOIUrl":"https://doi.org/10.4018/IJISSS.2020100103","url":null,"abstract":"The purpose of this research is to study how intellectual capital impacts firm performance in information technology companies in India. Based on an extensive review of the existing literature, critical factors of intellectual capital (human capital, structural capital, and relational capital), and firm performance (financial performance and brand reputation) were defined to build a theoretical (causal) model. Senior executives of Indian IT companies (N=112) formed the sample for the empirical study. Using structural equation modeling, the study found human capital and structural capital impact brand reputation and financial performance. Interestingly, relational capital impacted financial performance and not brand reputation. The outcome of this research is significant in two ways: one, it explored the impact of intellectual capital on brand reputation and financial performance, which underpins research directions from the literature, and two, it contributed to the comparatively less-researched contextual relevance from an Indian information technology company perspective.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116438732","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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