A. Butt, Syed Hamad Hassan Shah, S. Noor, Muhammad Ali
Knowledge management has been the subject of much research in buyer-supplier relationship literature. Many of these studies outline the benefits attributed to buying and supplying firms as a result of knowledge sharing between its managers. However, it is important to note managers across firms can also deliberately hide knowledge from each other during their business interaction. This study fills this important gap. The analysis of this study is based on a pilot study comprising six semi-structured interviews with the managers of buying and supplying firms. The findings suggest that managers of buying and supplying firms experience five different types of antecedents during their business interaction. This paper provides theoretical contribution to supply chain knowledge management literature by proposing five antecedents of knowledge hiding in a buyer-supplier relationship. The findings of this study also have practical implications. Specifically, firms can use initial findings from this study to understand what compels their management to engage in knowledge hiding.
{"title":"Knowledge Hiding in a Buyer-Supplier Relationship: Present and Future Scope","authors":"A. Butt, Syed Hamad Hassan Shah, S. Noor, Muhammad Ali","doi":"10.4018/ijkm.2020040102","DOIUrl":"https://doi.org/10.4018/ijkm.2020040102","url":null,"abstract":"Knowledge management has been the subject of much research in buyer-supplier relationship literature. Many of these studies outline the benefits attributed to buying and supplying firms as a result of knowledge sharing between its managers. However, it is important to note managers across firms can also deliberately hide knowledge from each other during their business interaction. This study fills this important gap. The analysis of this study is based on a pilot study comprising six semi-structured interviews with the managers of buying and supplying firms. The findings suggest that managers of buying and supplying firms experience five different types of antecedents during their business interaction. This paper provides theoretical contribution to supply chain knowledge management literature by proposing five antecedents of knowledge hiding in a buyer-supplier relationship. The findings of this study also have practical implications. Specifically, firms can use initial findings from this study to understand what compels their management to engage in knowledge hiding.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125582660","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 study examined the mediating role of social capital on the relationship between organizational culture and knowledge management. Data were obtained from bank employees in Iran. After a screening process, the data from a sample of 127 employees was used to test the mediation model using structural equation modeling (SEM). The results indicated that organizational culture had a significant positive effect on knowledge management and social capital. Furthermore, social capital had a significant positive effect on knowledge management confirming the mediating role of social capital. The current research contributes to the knowledge management literature by exploring a plausible explanation for the strong relationships between organizational culture and knowledge management. This study encourages practitioners to develop social capital and mutual trust among employees to promote effective knowledge management practices.
{"title":"Organizational Culture, Social Capital, and Knowledge Management: An Integrated Model","authors":"Leila Afshari, Ali Hadian Nasab, G. Dickson","doi":"10.4018/ijkm.2020040104","DOIUrl":"https://doi.org/10.4018/ijkm.2020040104","url":null,"abstract":"This study examined the mediating role of social capital on the relationship between organizational culture and knowledge management. Data were obtained from bank employees in Iran. After a screening process, the data from a sample of 127 employees was used to test the mediation model using structural equation modeling (SEM). The results indicated that organizational culture had a significant positive effect on knowledge management and social capital. Furthermore, social capital had a significant positive effect on knowledge management confirming the mediating role of social capital. The current research contributes to the knowledge management literature by exploring a plausible explanation for the strong relationships between organizational culture and knowledge management. This study encourages practitioners to develop social capital and mutual trust among employees to promote effective knowledge management practices.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530418","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 describes how to accumulate knowledge during solving complex engineering problems for novice engineers. The purpose of this study is to find important factors that have significant influence on knowledge accumulation (KA) behavior of novice engineers in solving complex problems. This study uses data from a sample of 185 novice engineers in Chinese manufacturing firms and employs structural equation modelling approach to test the proposed hypotheses. The findings of this study indicate that knowledge accumulation rely more on the features of problem solver and context factors. Contrary to expectation, complex problem characteristics do not make a significant and direct contribution to motivate knowledge accumulation. These variables collectively would help to explain the novice engineers' knowledge accumulation in solving complex engineering problems. Implications, limitations, and future scope of the study have also been discussed.
{"title":"Personal or Scenarios Factors?: Research on Knowledge Accumulation of Novice Engineers","authors":"Huan Xu, Shuqiang Cheng, Lijun Liu","doi":"10.4018/ijkm.2020040105","DOIUrl":"https://doi.org/10.4018/ijkm.2020040105","url":null,"abstract":"This paper describes how to accumulate knowledge during solving complex engineering problems for novice engineers. The purpose of this study is to find important factors that have significant influence on knowledge accumulation (KA) behavior of novice engineers in solving complex problems. This study uses data from a sample of 185 novice engineers in Chinese manufacturing firms and employs structural equation modelling approach to test the proposed hypotheses. The findings of this study indicate that knowledge accumulation rely more on the features of problem solver and context factors. Contrary to expectation, complex problem characteristics do not make a significant and direct contribution to motivate knowledge accumulation. These variables collectively would help to explain the novice engineers' knowledge accumulation in solving complex engineering problems. Implications, limitations, and future scope of the study have also been discussed.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127894480","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}
M. Chanda, Neelotpaul Banerjee, Gautam Bandyopadhyay
Agriculture is an important sector of the Indian economy. In the present paper an attempt has been made to theoretically explore the development of an agricultural knowledge management system (KMS) in respect of various micro irrigation techniques for agriculture, as well as relevant crop-/region-specific agricultural practices in different regions of the country, as the same has been observed to be very much necessary for the overall benefits of wider cross section of farmers, agricultural scientists, economists, and other stakeholders in the domain. It is further observed that artificial neural networks (ANNs), which are a part of soft computing techniques, can be used as a KMS tool for effective management of various sub sectors of agriculture. In this context, it has been shown that use of ANNs as a KMS tool can improve the effectiveness of applications of the above mentioned agricultural KMS by accurately forecasting the year-wise estimated yield of food grains of India with the help of past data of various relevant parameters.
{"title":"Using Artificial Neural Networks (ANNs) to Improve Agricultural Knowledge Management System (KMS)","authors":"M. Chanda, Neelotpaul Banerjee, Gautam Bandyopadhyay","doi":"10.4018/ijkm.2020040106","DOIUrl":"https://doi.org/10.4018/ijkm.2020040106","url":null,"abstract":"Agriculture is an important sector of the Indian economy. In the present paper an attempt has been made to theoretically explore the development of an agricultural knowledge management system (KMS) in respect of various micro irrigation techniques for agriculture, as well as relevant crop-/region-specific agricultural practices in different regions of the country, as the same has been observed to be very much necessary for the overall benefits of wider cross section of farmers, agricultural scientists, economists, and other stakeholders in the domain. It is further observed that artificial neural networks (ANNs), which are a part of soft computing techniques, can be used as a KMS tool for effective management of various sub sectors of agriculture. In this context, it has been shown that use of ANNs as a KMS tool can improve the effectiveness of applications of the above mentioned agricultural KMS by accurately forecasting the year-wise estimated yield of food grains of India with the help of past data of various relevant parameters.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115328810","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}
Specialised knowledge is a key component of success in an organisational context that resides in the expertise of the organisation's personnel. To explore this situation, an ethnographic case study was chosen in which data was collected from a software development project. Extempore verbal exchanges occur through the interplay of project team members in weekly meetings, as the software was tested, analyzed, and altered in accordance with the customer's needs. Utilizing tacit knowledge from the project members as well as the group, new tacit knowledge surfaces and spirals, which allows it to build over time. Five extempore triggers surfaced during the research generated through explicit stimuli, allowing project members to share and create new knowledge. Through the use of ideas developed by Husserl and Heidegger, this study has cast some light on verbal exchanges that, through their interjection, allow significant learning to take place. The theoretical development places these learning triggers in an interpretive framework, which can add value to other software development projects.
{"title":"Expert Group Knowledge Triggers: When Knowledge Surfaces","authors":"Hanna Dreyer, G. Bown, M. Wynn","doi":"10.4018/IJKM.2020040101","DOIUrl":"https://doi.org/10.4018/IJKM.2020040101","url":null,"abstract":"Specialised knowledge is a key component of success in an organisational context that resides in the expertise of the organisation's personnel. To explore this situation, an ethnographic case study was chosen in which data was collected from a software development project. Extempore verbal exchanges occur through the interplay of project team members in weekly meetings, as the software was tested, analyzed, and altered in accordance with the customer's needs. Utilizing tacit knowledge from the project members as well as the group, new tacit knowledge surfaces and spirals, which allows it to build over time. Five extempore triggers surfaced during the research generated through explicit stimuli, allowing project members to share and create new knowledge. Through the use of ideas developed by Husserl and Heidegger, this study has cast some light on verbal exchanges that, through their interjection, allow significant learning to take place. The theoretical development places these learning triggers in an interpretive framework, which can add value to other software development projects.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121667194","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 article is based on the intellectual capital (IC) literature and identifies factors that can influence the total number of citations from articles related to this subject. Seven hundred seventy-seven empirical articles about IC published between 1960 and 2016 from ISI Web of Science, Scopus, and Google Scholar were validated and used. Through logistic regression, the results reveal that: number of authors (p < 0.05); use of the triad of human, structural (organizational or process), and relational (social or customer) capital (p < 0.05); and the ISI impact factor (p < 0.001) are the factors with greatest influence on the total number of ISI citations from scientific articles on IC. The content analysis also provides insightful implications in the sense that articles with more citations use established conceptualizations of both human and social (or relational) capital, as well as addressing the still unexplored relationships between intellectual capital and organizations' economic or innovative performance.
本文基于智力资本(IC)文献，并确定了可能影响与此主题相关的文章引用总数的因素。1960年至2016年间，ISI Web of Science、Scopus和Google Scholar上发表了777篇关于IC的实证文章，并进行了验证和使用。经logistic回归分析，结果显示:作者数量(p < 0.05);人力资本、结构资本(组织资本或流程资本)和关系资本(社会资本或顾客资本)三元组合的使用(p < 0.05);和ISI影响因子(p < 0.001)是对IC科学文章ISI引用总数影响最大的因素。内容分析还提供了深刻的启示，因为引用次数更多的文章使用了人力资本和社会(或关系)资本的既定概念，以及解决了智力资本与组织经济或创新绩效之间尚未探索的关系。
{"title":"Assessing the Citations of Articles on Intellectual Capital: What Are the \"Influencers\"?","authors":"E. Pedro, H. Alves, J. Leitão","doi":"10.4018/ijkm.2020040103","DOIUrl":"https://doi.org/10.4018/ijkm.2020040103","url":null,"abstract":"This article is based on the intellectual capital (IC) literature and identifies factors that can influence the total number of citations from articles related to this subject. Seven hundred seventy-seven empirical articles about IC published between 1960 and 2016 from ISI Web of Science, Scopus, and Google Scholar were validated and used. Through logistic regression, the results reveal that: number of authors (p < 0.05); use of the triad of human, structural (organizational or process), and relational (social or customer) capital (p < 0.05); and the ISI impact factor (p < 0.001) are the factors with greatest influence on the total number of ISI citations from scientific articles on IC. The content analysis also provides insightful implications in the sense that articles with more citations use established conceptualizations of both human and social (or relational) capital, as well as addressing the still unexplored relationships between intellectual capital and organizations' economic or innovative performance.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114281323","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}
To compete in today's web-based society, virtually every university offers an option for distance e-learning. Universities have developed and maintain up-to-date electronic resources and materials. It is important that these resources are examined and tested from the point of view of the end-users, and to be in accordance with the relevant regulatory requirements and documents. The realization of a well-functioning university knowledge management system includes various software tools for assisting the decision-making process for the four main activities of the universities. In this article, a generic teaching knowledge management module structure, including the full-time and part-time type of learning, and the distance type of e-learning, is proposed. The main goal of the article is the presentation of an expert system concerning learning resources as a part of the university knowledge management system that can be used as a decision support tool for the achievement of competitiveness and sustainable development in some processes related to distance е-learning at the university.
{"title":"A University Knowledge Management Tool for the Evaluation of the Efficiency and Quality of Learning Resources in Distance e-Learning","authors":"I. Atanasova","doi":"10.4018/IJKM.2019100103","DOIUrl":"https://doi.org/10.4018/IJKM.2019100103","url":null,"abstract":"To compete in today's web-based society, virtually every university offers an option for distance e-learning. Universities have developed and maintain up-to-date electronic resources and materials. It is important that these resources are examined and tested from the point of view of the end-users, and to be in accordance with the relevant regulatory requirements and documents. The realization of a well-functioning university knowledge management system includes various software tools for assisting the decision-making process for the four main activities of the universities. In this article, a generic teaching knowledge management module structure, including the full-time and part-time type of learning, and the distance type of e-learning, is proposed. The main goal of the article is the presentation of an expert system concerning learning resources as a part of the university knowledge management system that can be used as a decision support tool for the achievement of competitiveness and sustainable development in some processes related to distance е-learning at the university.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123746548","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}
Prior research studies on knowledge management (KM) offer inconsistent support that it enhances firm performance. A majority of them discuss KM without incorporating the valuation of KM efforts. This article proposes a conceptual model comprised of six KM and two performance constructs. Performance is classified as financial and non-financial. Survey data from 313 Indian respondents is used to examine the influence of KM on firm performance. The results show that there is a strong, positive and significant link between the six KM constructs and organizational performance. Further, it is found that the influence of KM constructs on financial performance is indirect, that is, their influence is accomplished through the mediating variable organizational performance. The study provides evidence, firstly, through identifying important KM constructs and secondly by examining its influence on performance. It contributes to managerial practice by proposing an empirically validated KM model, which can guide KM practitioners in developing capabilities for enhancing organizational performance.
{"title":"How Knowledge Management Influences Performance?: Evidences from Indian Manufacturing and Services Firms","authors":"Himanshu Joshi, Deepak Chawla","doi":"10.4018/IJKM.2019100104","DOIUrl":"https://doi.org/10.4018/IJKM.2019100104","url":null,"abstract":"Prior research studies on knowledge management (KM) offer inconsistent support that it enhances firm performance. A majority of them discuss KM without incorporating the valuation of KM efforts. This article proposes a conceptual model comprised of six KM and two performance constructs. Performance is classified as financial and non-financial. Survey data from 313 Indian respondents is used to examine the influence of KM on firm performance. The results show that there is a strong, positive and significant link between the six KM constructs and organizational performance. Further, it is found that the influence of KM constructs on financial performance is indirect, that is, their influence is accomplished through the mediating variable organizational performance. The study provides evidence, firstly, through identifying important KM constructs and secondly by examining its influence on performance. It contributes to managerial practice by proposing an empirically validated KM model, which can guide KM practitioners in developing capabilities for enhancing organizational performance.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125612444","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 article explores whether organisations that have received the Most Admired Knowledge Enterprises (MAKE) award boast better business performance relative to those that have not received or participated in the award. This quantitative study is based on 59 MAKE award winners in 2009, along with 59 counterparts. Financial data were collected from publicly available annual reports for the period 2009-2016. Applying the Value Added Intellectual Coefficient (VAIC) methodology, regression models were developed to examine the associations and connections between MAKE and non-MAKE companies' Intellectual Capitals and their financial performance indicators. Based on correlation and linear multiple regression analysis, the VAIC components (HCE, SCE and CEE) have no statistical predictive trend for market value (MB). However, HCE, SCE and CEE were significant predictors of three corporate financial performance indicators (ROA, ATO and ROE). The group of non-MAKE companies demonstrates a higher VAIC value. There is no statistical significance between the two groups' business performance.
{"title":"Achieving Business Performance Via Implementation of Knowledge Management: A Comparative Study of MAKE and non-MAKE Companies","authors":"Trevor Tin Shing Lui, Zhicheng Li, S. Chu","doi":"10.4018/IJKM.2019100101","DOIUrl":"https://doi.org/10.4018/IJKM.2019100101","url":null,"abstract":"This article explores whether organisations that have received the Most Admired Knowledge Enterprises (MAKE) award boast better business performance relative to those that have not received or participated in the award. This quantitative study is based on 59 MAKE award winners in 2009, along with 59 counterparts. Financial data were collected from publicly available annual reports for the period 2009-2016. Applying the Value Added Intellectual Coefficient (VAIC) methodology, regression models were developed to examine the associations and connections between MAKE and non-MAKE companies' Intellectual Capitals and their financial performance indicators. Based on correlation and linear multiple regression analysis, the VAIC components (HCE, SCE and CEE) have no statistical predictive trend for market value (MB). However, HCE, SCE and CEE were significant predictors of three corporate financial performance indicators (ROA, ATO and ROE). The group of non-MAKE companies demonstrates a higher VAIC value. There is no statistical significance between the two groups' business performance.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129642262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this study is to explore whether the leadership change consequently imposes further changes in knowledge management (KM) practices, as well as to reveal which KM practices are affected by this strategic change. Namely, a theorized ten-fold conceptualization of KM practices has been tested on a sample of 101 Serbian companies employing more than 100 employees each. The main findings demonstrate that leadership changes affect some elements of KM leadership, HRM practices in recruitment, training and development, and compensation. Furthermore, findings depict that leadership changes have a profound influence on knowledge-friendly organizational culture and knowledge sharing between mid-level management and employees. Finally, the results show that the leadership change in Serbian companies affects sales growth rate. The companies that experienced this change had negative sales growth rate contrary to the companies without this strategic change.
{"title":"Do Leaders Really Matter in Knowledge Management Practices? Case of Serbian Companies","authors":"Sladjana Cabrilo, Rosanna Leung","doi":"10.4018/IJKM.2019100106","DOIUrl":"https://doi.org/10.4018/IJKM.2019100106","url":null,"abstract":"The purpose of this study is to explore whether the leadership change consequently imposes further changes in knowledge management (KM) practices, as well as to reveal which KM practices are affected by this strategic change. Namely, a theorized ten-fold conceptualization of KM practices has been tested on a sample of 101 Serbian companies employing more than 100 employees each. The main findings demonstrate that leadership changes affect some elements of KM leadership, HRM practices in recruitment, training and development, and compensation. Furthermore, findings depict that leadership changes have a profound influence on knowledge-friendly organizational culture and knowledge sharing between mid-level management and employees. Finally, the results show that the leadership change in Serbian companies affects sales growth rate. The companies that experienced this change had negative sales growth rate contrary to the companies without this strategic change.","PeriodicalId":196147,"journal":{"name":"Int. J. Knowl. Manag.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123018675","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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