Pub Date : 2021-01-01DOI: 10.1177/18479790211055057
Sakonphot Sukathong, P. Suksawang, Thanakron Naenna
The adoption of new technologies is the most important phase for integrating new technologies into the traditional processes of an organization. This study aims to assess the importance of critical success factors by developing a critical success factor framework, relationship, and subfactors that influence the adoption of advanced manufacturing technologies (AMTs) in small- and medium-sized enterprises (SMEs). The framework was developed based on previous studies that were grouped into five critical success factors, namely, strategy, organization, top management, environment, and technology. We then applied structural equation modeling (SEM). A total of 212 samples were gathered and grouped. The results indicate that strategy is the most important critical success factor, followed by organization, top management, technology, and environment.
{"title":"Correction notice to “Analyzing the importance of critical success factors for the adoption of advanced manufacturing technologies”","authors":"Sakonphot Sukathong, P. Suksawang, Thanakron Naenna","doi":"10.1177/18479790211055057","DOIUrl":"https://doi.org/10.1177/18479790211055057","url":null,"abstract":"The adoption of new technologies is the most important phase for integrating new technologies into the traditional processes of an organization. This study aims to assess the importance of critical success factors by developing a critical success factor framework, relationship, and subfactors that influence the adoption of advanced manufacturing technologies (AMTs) in small- and medium-sized enterprises (SMEs). The framework was developed based on previous studies that were grouped into five critical success factors, namely, strategy, organization, top management, environment, and technology. We then applied structural equation modeling (SEM). A total of 212 samples were gathered and grouped. The results indicate that strategy is the most important critical success factor, followed by organization, top management, technology, and environment.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"13 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89025827","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 : 2021-01-01DOI: 10.1177/18479790211016273
Abdelouahab Errida, Bouchra Lotfi
The main purpose of this study is identifying the various factors affecting change management success, as well as examine their relevance in the case of a Moroccan construction company. A combination of a literature review and research action was employed to this end. Specifically, an in-depth review of 37 organizational change management models was conducted to identify the factors that affect change management success. Additionally, a research action approach validated the identified factors. Several factors that affect organizational change management success were identified and categorized into 12 categories relevant to the successful implementation of organizational change initiatives within the case company. While further research is needed to explore the relevance of the identified factors in other organizations and sectors, this study provides an integrated understanding of change management success based on the analysis of various organizational change models. Understanding success factors can help managers implement change initiatives in their organizations effectively.
{"title":"The determinants of organizational change management success: Literature review and case study","authors":"Abdelouahab Errida, Bouchra Lotfi","doi":"10.1177/18479790211016273","DOIUrl":"https://doi.org/10.1177/18479790211016273","url":null,"abstract":"The main purpose of this study is identifying the various factors affecting change management success, as well as examine their relevance in the case of a Moroccan construction company. A combination of a literature review and research action was employed to this end. Specifically, an in-depth review of 37 organizational change management models was conducted to identify the factors that affect change management success. Additionally, a research action approach validated the identified factors. Several factors that affect organizational change management success were identified and categorized into 12 categories relevant to the successful implementation of organizational change initiatives within the case company. While further research is needed to explore the relevance of the identified factors in other organizations and sectors, this study provides an integrated understanding of change management success based on the analysis of various organizational change models. Understanding success factors can help managers implement change initiatives in their organizations effectively.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"100 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85945225","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 : 2021-01-01DOI: 10.1177/18479790211008812
Yung-Yu Lin, Y. Nagai, Tzu-Hang Chiang, Hua-Ko Chiang
The existing studies of Enterprise Resource Planning (ERP) are primarily focusing on the adoption and implementation stages, the post-implementation stage has received less attention in comparison. However, most enterprises have been struggling under the post-implementation stage. This work aims to review the state-of-the-art issues of ERP in the post-implementation stage, including communication, legacy system, collaboration, and the manager is hard to monitor the performance. Based on the Design Science (DS) method, we highlight how to offset the lack of an ERP system and ECS according to the guidelines of DS, and show the exhaustive steps for implementing the artifact-SuccERP. Our research is rigorous and interpretive by considering the steps of the DS and the functions of Software Engineering. Further, we explore multiple ERP systems to summarize the difference in authentication, initial data, and specific procedures aspects, after that, we consider the two most popular procedures (order creation and bill of purchase creation) as examples to demonstrate and evaluate the proposed artifact—SuccERP in the result. We propose the complete and practical research for solving the issues from previous theoretical results of an ERP, and to show experimentally that the proposed SuccERP is easy to maintain by applying the Cyclomatic Complexity and the Maintainability Index as metrics. This study is a milestone that allows ERP research to move from the theoretical stage to integrating, creating things that serve a human purpose, and dealing with the issues presented by previous works practically.
{"title":"SuccERP: The design science based integration of ECS and ERP in post-implementation stage","authors":"Yung-Yu Lin, Y. Nagai, Tzu-Hang Chiang, Hua-Ko Chiang","doi":"10.1177/18479790211008812","DOIUrl":"https://doi.org/10.1177/18479790211008812","url":null,"abstract":"The existing studies of Enterprise Resource Planning (ERP) are primarily focusing on the adoption and implementation stages, the post-implementation stage has received less attention in comparison. However, most enterprises have been struggling under the post-implementation stage. This work aims to review the state-of-the-art issues of ERP in the post-implementation stage, including communication, legacy system, collaboration, and the manager is hard to monitor the performance. Based on the Design Science (DS) method, we highlight how to offset the lack of an ERP system and ECS according to the guidelines of DS, and show the exhaustive steps for implementing the artifact-SuccERP. Our research is rigorous and interpretive by considering the steps of the DS and the functions of Software Engineering. Further, we explore multiple ERP systems to summarize the difference in authentication, initial data, and specific procedures aspects, after that, we consider the two most popular procedures (order creation and bill of purchase creation) as examples to demonstrate and evaluate the proposed artifact—SuccERP in the result. We propose the complete and practical research for solving the issues from previous theoretical results of an ERP, and to show experimentally that the proposed SuccERP is easy to maintain by applying the Cyclomatic Complexity and the Maintainability Index as metrics. This study is a milestone that allows ERP research to move from the theoretical stage to integrating, creating things that serve a human purpose, and dealing with the issues presented by previous works practically.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"30 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83350343","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 : 2021-01-01DOI: 10.20472/bm.2021.9.2.003
K. Motamedi
: Zealous social systems prosper and effectively respond in dynamic complex environments and crises. Z-factor is an essential competence in managing crises. Zeal and Z-factor are comprised of three mutually synergic processes of willfulness, adaptability, and copability (cope-ability). Will determines the drive and the commitment to achieve the overarching purposes. Adaptability is the capability to understand and make necessary adjustments to address requisite external factors. Copability is the internal processes that help maintain a sense of well-being and wholeness. In dynamic and complex environments, zealous social systems strive to achieve their will through adapting and coping. Those with feeble zeal are less capable of adopting the will for adapting to their external conditions or sustaining their internal wholeness. When facing complexity and change, the zealous willfully strives to build and maintain external relevance to adapt and sustain internal efficacy and coherence. The zeal to succeed is driven by the purposeful will and synergy of adapting and coping for responding to externally induced changes while assuring a well-functioning system internally. This article explores zeal and Z-factor as a requisite determinant of social systems’ effectiveness, well-being, and revitalization in dynamic complex environments.
{"title":"ZEAL AND Z-FACTOR: WILL, ADAPTABILITY AND COPABILITY IN DYNAMIC COMPLEX ENVIRONMENTS","authors":"K. Motamedi","doi":"10.20472/bm.2021.9.2.003","DOIUrl":"https://doi.org/10.20472/bm.2021.9.2.003","url":null,"abstract":": Zealous social systems prosper and effectively respond in dynamic complex environments and crises. Z-factor is an essential competence in managing crises. Zeal and Z-factor are comprised of three mutually synergic processes of willfulness, adaptability, and copability (cope-ability). Will determines the drive and the commitment to achieve the overarching purposes. Adaptability is the capability to understand and make necessary adjustments to address requisite external factors. Copability is the internal processes that help maintain a sense of well-being and wholeness. In dynamic and complex environments, zealous social systems strive to achieve their will through adapting and coping. Those with feeble zeal are less capable of adopting the will for adapting to their external conditions or sustaining their internal wholeness. When facing complexity and change, the zealous willfully strives to build and maintain external relevance to adapt and sustain internal efficacy and coherence. The zeal to succeed is driven by the purposeful will and synergy of adapting and coping for responding to externally induced changes while assuring a well-functioning system internally. This article explores zeal and Z-factor as a requisite determinant of social systems’ effectiveness, well-being, and revitalization in dynamic complex environments.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"9 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74166319","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}
{"title":"Application of Statistical Process Control Chart in Food Manufacturing Industry","authors":"Noora Shrestha","doi":"10.22161/IJEBM.4.5.2","DOIUrl":"https://doi.org/10.22161/IJEBM.4.5.2","url":null,"abstract":"","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"27 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73117025","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 : 2021-01-01DOI: 10.1177/18479790211031461
CW Kwong, SL Mak, CH Li
China is the largest exporter of toys. Small- and medium-sized toy factories usually face various challenges when they deal with quality aspects and toy safety requirements. After a literature review and pilot study, a conceptual framework to improve factories’ capabilities in dealing with European and US toy safety requirements through Toy safety assessment, Cost and resources optimization, Industry 4.0, ISO 19600:2014 (which has become ISO 37301:2021), and Web-based product compliance platforms, is proposed. In mid-2020, a questionnaire was designed, and an internet questionnaire survey empirical study was conducted. The statistical results from 107 responses suggested that Toy Safety Assessment, ISO 19600:2014 (ISO 37301), and Industry 4.0 have made positive and significant contributions to factories’ capability to respond to European and US toy safety requirements. The study identifies and prioritizes the factors to improve toy factories’ capabilities in dealing with European and US requirements.
中国是最大的玩具出口国。中小型玩具厂在处理质量方面和玩具安全要求时，通常面临各种挑战。经过文献综述和试点研究，提出了一个概念性框架，通过玩具安全评估、成本和资源优化、工业4.0、ISO 19600:2014(已成为ISO 37301:2021)和基于web的产品合规平台来提高工厂处理欧美玩具安全要求的能力。2020年年中，设计了一份调查问卷，并进行了网络问卷调查实证研究。107份回复的统计结果表明，玩具安全评估、ISO 19600:2014 (ISO 37301)和工业4.0对工厂响应欧美玩具安全要求的能力做出了积极而重要的贡献。该研究确定并优先考虑提高玩具厂处理欧洲和美国要求的能力的因素。
{"title":"Evaluation of the tactics for small- and medium-sized toy factories in China to deal with European and US toy safety requirements","authors":"CW Kwong, SL Mak, CH Li","doi":"10.1177/18479790211031461","DOIUrl":"https://doi.org/10.1177/18479790211031461","url":null,"abstract":"China is the largest exporter of toys. Small- and medium-sized toy factories usually face various challenges when they deal with quality aspects and toy safety requirements. After a literature review and pilot study, a conceptual framework to improve factories’ capabilities in dealing with European and US toy safety requirements through Toy safety assessment, Cost and resources optimization, Industry 4.0, ISO 19600:2014 (which has become ISO 37301:2021), and Web-based product compliance platforms, is proposed. In mid-2020, a questionnaire was designed, and an internet questionnaire survey empirical study was conducted. The statistical results from 107 responses suggested that Toy Safety Assessment, ISO 19600:2014 (ISO 37301), and Industry 4.0 have made positive and significant contributions to factories’ capability to respond to European and US toy safety requirements. The study identifies and prioritizes the factors to improve toy factories’ capabilities in dealing with European and US requirements.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"36 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88510438","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}
{"title":"Financial Geographies of Real Estate and Housing","authors":"Brduman Waisi Abbas, Muhammad Suliman Aziz","doi":"10.22161/IJEBM.5.1.2","DOIUrl":"https://doi.org/10.22161/IJEBM.5.1.2","url":null,"abstract":"","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"43 1","pages":"10-16"},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75138139","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 : 2021-01-01DOI: 10.1177/18479790211032920
Meryem Meliani, A. E. Barkany, I. E. Abbassi, A. Darcherif, M. Mahmoudi
Integration of distributed generations that fluctuate widely (such as Photovoltaic panels, Wind power, Electric Vehicles and Energy Storage Systems), poses a chance to the stability of power technology and distribution structures. However, the primary reason is that the electricity ratio between supply and demand may not be balanced. An extra or scarcity inside the production or intake of electricity can disrupt the system and cause critical problems which include a drop/rise in voltage and, under difficult conditions, power outages. The use of Energy Management Systems can effectively increase the balance between supply and demand and decrease peak load throughout unplanned durations. The energy management system is capable of not only sharing or exchanging energy between the different energy resources available, but also of economically supplying loads in a reliable, safe and effective manner under all conditions necessary for the operation of the power grid. This work outlines the structure, goals, benefits and defies of the energy control system via an in-intensity analysis of the distinctive stakeholders and participants engaged on this system. A detailed essential analysis of the functioning of distinct programs which includes Demand Response, Demand Management and Energy Quality Management implemented inside the electricity management gadget is presented in this review. It also summarizes quantifications of the various strategies of uncertainty. It includes as well a comparative and an important assessment of the primary optimization techniques which are used to obtain the extraordinary goals of energy management structures while at the same time meeting a wide range of requirements.
{"title":"Energy management in the smart grid: State-of-the-art and future trends","authors":"Meryem Meliani, A. E. Barkany, I. E. Abbassi, A. Darcherif, M. Mahmoudi","doi":"10.1177/18479790211032920","DOIUrl":"https://doi.org/10.1177/18479790211032920","url":null,"abstract":"Integration of distributed generations that fluctuate widely (such as Photovoltaic panels, Wind power, Electric Vehicles and Energy Storage Systems), poses a chance to the stability of power technology and distribution structures. However, the primary reason is that the electricity ratio between supply and demand may not be balanced. An extra or scarcity inside the production or intake of electricity can disrupt the system and cause critical problems which include a drop/rise in voltage and, under difficult conditions, power outages. The use of Energy Management Systems can effectively increase the balance between supply and demand and decrease peak load throughout unplanned durations. The energy management system is capable of not only sharing or exchanging energy between the different energy resources available, but also of economically supplying loads in a reliable, safe and effective manner under all conditions necessary for the operation of the power grid. This work outlines the structure, goals, benefits and defies of the energy control system via an in-intensity analysis of the distinctive stakeholders and participants engaged on this system. A detailed essential analysis of the functioning of distinct programs which includes Demand Response, Demand Management and Energy Quality Management implemented inside the electricity management gadget is presented in this review. It also summarizes quantifications of the various strategies of uncertainty. It includes as well a comparative and an important assessment of the primary optimization techniques which are used to obtain the extraordinary goals of energy management structures while at the same time meeting a wide range of requirements.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"35 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74779353","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 : 2021-01-01DOI: 10.1177/18479790211033697
Helena Ebel, T. Riedelsheimer, R. Stark
A significant challenge of managing successful engineering projects is to know their status at any time. This paper describes a concept of automated project progress measurement based on data flow models, digital twins, and machine learning (ML) algorithms. The approach integrates information from previous projects by considering historical data using ML algorithms and current unfinished artifacts to determine the degree of completion. The information required to measure the progress of engineering activities is extracted from engineering artifacts and subsequently analyzed and interpreted according to the project’s progress. Data flow models of the engineering process help understand the context of the analyzed artifacts. The use of digital twins makes it possible to connect plan data with actual data during the completion of the engineering project.
{"title":"Enabling automated engineering’s project progress measurement by using data flow models and digital twins","authors":"Helena Ebel, T. Riedelsheimer, R. Stark","doi":"10.1177/18479790211033697","DOIUrl":"https://doi.org/10.1177/18479790211033697","url":null,"abstract":"A significant challenge of managing successful engineering projects is to know their status at any time. This paper describes a concept of automated project progress measurement based on data flow models, digital twins, and machine learning (ML) algorithms. The approach integrates information from previous projects by considering historical data using ML algorithms and current unfinished artifacts to determine the degree of completion. The information required to measure the progress of engineering activities is extracted from engineering artifacts and subsequently analyzed and interpreted according to the project’s progress. Data flow models of the engineering process help understand the context of the analyzed artifacts. The use of digital twins makes it possible to connect plan data with actual data during the completion of the engineering project.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"18 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75176993","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 : 2021-01-01DOI: 10.1177/1847979021990523
M. Salama, H. Kader, A. Abdelwahab
The use of social media networks is becoming a current phenomenon in the world today where people are sharing posts and tweets, connect with different groups, and share their opinions about things. This data is extremely heterogeneous and so it is hard to analyze and derive information from this data that is considered an indispensable source for decision-makers. New techniques are therefore needed to handle these huge amounts of data to find the hidden information thus improve the results of the analysis. We are developing a framework for the analysis of heterogeneous data using machine learning (ML) techniques. In contrast to most of the literature frameworks that focus on a specific type of heterogeneous data for evaluating the proposed framework, we have analyzed 15k tweets data from six American airlines. These tweets are collected from the open stream of Twitter, also predict, classify each tweet as a negative or positive review, and test the ability of deep learning (DL) algorithms by comparing it with traditional ML algorithms. The findings confirmed the validity of the proposed framework and helped to achieve the study objective by providing excellent analysis performance and provide insights into additional aspects of information extraction from heterogeneous data.
{"title":"An analytic framework for enhancing the performance of big heterogeneous data analysis","authors":"M. Salama, H. Kader, A. Abdelwahab","doi":"10.1177/1847979021990523","DOIUrl":"https://doi.org/10.1177/1847979021990523","url":null,"abstract":"The use of social media networks is becoming a current phenomenon in the world today where people are sharing posts and tweets, connect with different groups, and share their opinions about things. This data is extremely heterogeneous and so it is hard to analyze and derive information from this data that is considered an indispensable source for decision-makers. New techniques are therefore needed to handle these huge amounts of data to find the hidden information thus improve the results of the analysis. We are developing a framework for the analysis of heterogeneous data using machine learning (ML) techniques. In contrast to most of the literature frameworks that focus on a specific type of heterogeneous data for evaluating the proposed framework, we have analyzed 15k tweets data from six American airlines. These tweets are collected from the open stream of Twitter, also predict, classify each tweet as a negative or positive review, and test the ability of deep learning (DL) algorithms by comparing it with traditional ML algorithms. The findings confirmed the validity of the proposed framework and helped to achieve the study objective by providing excellent analysis performance and provide insights into additional aspects of information extraction from heterogeneous data.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"51 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73852356","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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