Decisions are an integral part of organizational life. But whereas operational business processes have received ample attention, the systematic and reflective coordination and cultivation of organizational decision processes have scarcely been addressed to date. The paper argues that integrative conceptual models can provide valuable support for the multidisciplinary activities related to organizational decision making. Requirements are substantiated, based on which a selection of existing tools is reviewed and found insufficient. The outline of a modeling language to describe, analyze, and reassess decision processes in the organizational context is presented and discussed.
{"title":"Beyond Narrow Decision Models: Toward Integrative Models of Organizational Decision Processes","authors":"Alexander C. Bock","doi":"10.1109/CBI.2015.34","DOIUrl":"https://doi.org/10.1109/CBI.2015.34","url":null,"abstract":"Decisions are an integral part of organizational life. But whereas operational business processes have received ample attention, the systematic and reflective coordination and cultivation of organizational decision processes have scarcely been addressed to date. The paper argues that integrative conceptual models can provide valuable support for the multidisciplinary activities related to organizational decision making. Requirements are substantiated, based on which a selection of existing tools is reviewed and found insufficient. The outline of a modeling language to describe, analyze, and reassess decision processes in the organizational context is presented and discussed.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"71 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120842861","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}
Johannes Kunze von Bischhoffshausen, Markus Paatsch, Melanie Reuter-Oppermann, G. Satzger, H. Fromm
Many companies have transformed their businesses from selling products in isolated transactions to selling solutions in long-term relationships. This transformation poses new requirements for designing the sales force structure: solution selling companies often approach the customer with sales teams, composed of different sales roles with specific responsibilities and skills. However, little attention is given to this challenge in sales force analytics, especially from an information systems research perspective. In particular, there is still a lack of decision support with regard to assigning sales reps to customer accounts in a solution selling setting. This work addresses this research gap by proposing an information system for planning sales force assignments utilizing predictive and prescriptive analytics. The information system integrates a predictive component which applies mining of historical sales data in order to predict the sales impact for any particular assignment of sales teams to customer accounts. Furthermore, the information system integrates a prescriptive component which utilizes a linear programming model to compute the optimal assignment that maximizes revenue. This work presents the prototypical implementation of this approach and, thus, develops an artifact that integrates predictive and prescriptive analytics into an information system. The derived solution offers a promising approach for increasing the sales effectiveness of solution selling firms.
{"title":"An Information System for Sales Team Assignments Utilizing Predictive and Prescriptive Analytics","authors":"Johannes Kunze von Bischhoffshausen, Markus Paatsch, Melanie Reuter-Oppermann, G. Satzger, H. Fromm","doi":"10.1109/CBI.2015.38","DOIUrl":"https://doi.org/10.1109/CBI.2015.38","url":null,"abstract":"Many companies have transformed their businesses from selling products in isolated transactions to selling solutions in long-term relationships. This transformation poses new requirements for designing the sales force structure: solution selling companies often approach the customer with sales teams, composed of different sales roles with specific responsibilities and skills. However, little attention is given to this challenge in sales force analytics, especially from an information systems research perspective. In particular, there is still a lack of decision support with regard to assigning sales reps to customer accounts in a solution selling setting. This work addresses this research gap by proposing an information system for planning sales force assignments utilizing predictive and prescriptive analytics. The information system integrates a predictive component which applies mining of historical sales data in order to predict the sales impact for any particular assignment of sales teams to customer accounts. Furthermore, the information system integrates a prescriptive component which utilizes a linear programming model to compute the optimal assignment that maximizes revenue. This work presents the prototypical implementation of this approach and, thus, develops an artifact that integrates predictive and prescriptive analytics into an information system. The derived solution offers a promising approach for increasing the sales effectiveness of solution selling firms.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117319359","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}
Increasing mobility of stakeholders and variability of resources trigger the design and runtime of today's business applications. Tasks need to be accomplished in a seamless way despite disparate services, and devices. In order to ensure interoperability between these resources we present a representation scheme for federated system support. It facilitates designing autonomous while tightly coupled systems for business operation. Their features, e.g., Handling blog entries containing customer needs, can be arranged dynamically by means of bigraphs. Bigraphs encode structure and behavior relations and thus, enable the context-sensitive specification of features. Rules allow checking their interoperability and changing the context of resource use. In the contribution initial evidence of the effectiveness of the approach is provided. We exemplify Customer Knowledge Management dynamically intertwining content management and social media interaction.
{"title":"Context Control of Interoperable Interactive Systems","authors":"C. Stary, Dominik Wachholder","doi":"10.1109/CBI.2015.40","DOIUrl":"https://doi.org/10.1109/CBI.2015.40","url":null,"abstract":"Increasing mobility of stakeholders and variability of resources trigger the design and runtime of today's business applications. Tasks need to be accomplished in a seamless way despite disparate services, and devices. In order to ensure interoperability between these resources we present a representation scheme for federated system support. It facilitates designing autonomous while tightly coupled systems for business operation. Their features, e.g., Handling blog entries containing customer needs, can be arranged dynamically by means of bigraphs. Bigraphs encode structure and behavior relations and thus, enable the context-sensitive specification of features. Rules allow checking their interoperability and changing the context of resource use. In the contribution initial evidence of the effectiveness of the approach is provided. We exemplify Customer Knowledge Management dynamically intertwining content management and social media interaction.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133615416","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}
A. Caetano, Gonçalo Antunes, Marzieh Bakhshandeh, J. Borbinha, M. Silva
Enterprise models contribute to the understanding, communication and analysis of how business processes are performed, the goals they achieve, the information they use, as well as the applications that support the business, and the underlying technological infrastructure. The analysis of these different domains requires combining different enterprise models, often described with different domain specific modelling languages. This paper explores the application of computational semantic techniques to specify, integrate and analyse multiple enterprise models. The models are individually specified and federated using ontological schemas, and analysed using computational inference and graph analysis. The paper describes (1) how to specify enterprise models as ontological schemas, (2) how to integrate the ontological schemas using transformation maps, and (3) how to analyse the integrated models. This solution is demonstrated through the specification, integration and analysis of a business model landscape comprising three enterprise modelling languages: the Business Model Canvas, e3value, and Archi Mate.
企业模型有助于理解、交流和分析业务流程是如何执行的、它们实现的目标、它们使用的信息，以及支持业务的应用程序和底层技术基础设施。对这些不同领域的分析需要结合不同的企业模型，这些模型通常用不同领域特定的建模语言来描述。本文探讨了计算语义技术在指定、集成和分析多个企业模型中的应用。使用本体模式单独指定和联合模型，并使用计算推理和图分析对模型进行分析。本文描述了(1)如何将企业模型指定为本体模式，(2)如何使用转换映射集成本体模式，以及(3)如何分析集成的模型。该解决方案通过对包含三种企业建模语言(business model Canvas、e3value和Archi Mate)的业务模型环境进行规范、集成和分析来演示。
{"title":"Analysis of Federated Business Models: An Application to the Business Model Canvas, ArchiMate, and e3value","authors":"A. Caetano, Gonçalo Antunes, Marzieh Bakhshandeh, J. Borbinha, M. Silva","doi":"10.1109/CBI.2015.48","DOIUrl":"https://doi.org/10.1109/CBI.2015.48","url":null,"abstract":"Enterprise models contribute to the understanding, communication and analysis of how business processes are performed, the goals they achieve, the information they use, as well as the applications that support the business, and the underlying technological infrastructure. The analysis of these different domains requires combining different enterprise models, often described with different domain specific modelling languages. This paper explores the application of computational semantic techniques to specify, integrate and analyse multiple enterprise models. The models are individually specified and federated using ontological schemas, and analysed using computational inference and graph analysis. The paper describes (1) how to specify enterprise models as ontological schemas, (2) how to integrate the ontological schemas using transformation maps, and (3) how to analyse the integrated models. This solution is demonstrated through the specification, integration and analysis of a business model landscape comprising three enterprise modelling languages: the Business Model Canvas, e3value, and Archi Mate.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123280142","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}
Collaboration among enterprises is aimed at strengthening competitiveness of collaborating partners. Although potential benefits resulting out of collaboration are high, a large number of collaborative enterprises fail. The studies report that collaborations' Critical Success Factors (CSFs) relate to aspects such as trust, similarities and complementarities between partners, transparency of rights, duties and undertaken actions. The application of enterprise modeling is expected to contribute to addressing some of these CSFs and thus, support the success of collaborative enterprises. In this paper, based on the conducted analysis, high-level requirements towards an enterprise modeling method for collaborative enterprises are elicited and used to discuss existing modeling approaches, with the aim to identify future directions of research.
{"title":"Modeling of Collaborative Enterprises -- CSFs-Driven High-Level Requirements","authors":"Barbara Livieri, M. Kaczmarek","doi":"10.1109/CBI.2015.45","DOIUrl":"https://doi.org/10.1109/CBI.2015.45","url":null,"abstract":"Collaboration among enterprises is aimed at strengthening competitiveness of collaborating partners. Although potential benefits resulting out of collaboration are high, a large number of collaborative enterprises fail. The studies report that collaborations' Critical Success Factors (CSFs) relate to aspects such as trust, similarities and complementarities between partners, transparency of rights, duties and undertaken actions. The application of enterprise modeling is expected to contribute to addressing some of these CSFs and thus, support the success of collaborative enterprises. In this paper, based on the conducted analysis, high-level requirements towards an enterprise modeling method for collaborative enterprises are elicited and used to discuss existing modeling approaches, with the aim to identify future directions of research.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121622743","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}
Business models play a pivotal role in organizations, building bridges and enabling dialogue between business and technological worlds. Also, goals and rules associate with processes to compose its base structure, driving and supporting the organization's strategy. Additionally, as balanced scorecards are the reference in strategy management, a combination of these three dimensions can lead to a stronger, more strategy-oriented, business model, aggregating functional, nonfunctional and strategy dimensions. Following our proposal for the specification of a three-dimensional business model, covering the elicitation of business goals and rules from process level use cases, and their connection to balanced scorecard, we now aim to explore it with a practical application scenario. Taking advantage of a cube structure and a method definition within a SPEM approach, which is adaptable to model variations, our proposal allows for the use of different viewpoints to perform diverse business model transformations. In this paper we apply our proposal twice by revisiting a project of a two-step elicitation and generation of a business model canvas.
{"title":"Exploring a Three-Dimensional, Requirements-Based, Balanced Scorecard Business Model: On the Elicitation and Generation of a Business Model Canvas","authors":"Carlos E. Salgado, R. J. Machado, R. Maciel","doi":"10.1109/CBI.2015.28","DOIUrl":"https://doi.org/10.1109/CBI.2015.28","url":null,"abstract":"Business models play a pivotal role in organizations, building bridges and enabling dialogue between business and technological worlds. Also, goals and rules associate with processes to compose its base structure, driving and supporting the organization's strategy. Additionally, as balanced scorecards are the reference in strategy management, a combination of these three dimensions can lead to a stronger, more strategy-oriented, business model, aggregating functional, nonfunctional and strategy dimensions. Following our proposal for the specification of a three-dimensional business model, covering the elicitation of business goals and rules from process level use cases, and their connection to balanced scorecard, we now aim to explore it with a practical application scenario. Taking advantage of a cube structure and a method definition within a SPEM approach, which is adaptable to model variations, our proposal allows for the use of different viewpoints to perform diverse business model transformations. In this paper we apply our proposal twice by revisiting a project of a two-step elicitation and generation of a business model canvas.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115239018","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}
Business Transformation Management Methodology (BTM2) is a recent methodology aimed at dealing with growing complexity, globalization and uncertainty organizations are faced with due to continuous change processes. Meta Management is the foundation of this methodology and is focused on providing a framework that helps to manage the complexity of business transformation. The difficulty lies on the different ways you can apply Meta Management and how far you can go. In fact, the way this layer of management will be conducted is decisive for the effectiveness and efficiency of the transformation process. A maturity model for Meta Management helps leaders and managers derive and prioritize improvement measures, as well as control progress, by providing them with the as-is assessment. In our research we applied the proposed Meta Management Maturity Model to the Portuguese eProcurement Interoperability project, a complex and critical national challenge. According to the practitioners, this is an important step for the success of the project.
{"title":"A Maturity Model for Business Transformation Management","authors":"Isabel da Rosa, M. Silva","doi":"10.1109/CBI.2015.30","DOIUrl":"https://doi.org/10.1109/CBI.2015.30","url":null,"abstract":"Business Transformation Management Methodology (BTM2) is a recent methodology aimed at dealing with growing complexity, globalization and uncertainty organizations are faced with due to continuous change processes. Meta Management is the foundation of this methodology and is focused on providing a framework that helps to manage the complexity of business transformation. The difficulty lies on the different ways you can apply Meta Management and how far you can go. In fact, the way this layer of management will be conducted is decisive for the effectiveness and efficiency of the transformation process. A maturity model for Meta Management helps leaders and managers derive and prioritize improvement measures, as well as control progress, by providing them with the as-is assessment. In our research we applied the proposed Meta Management Maturity Model to the Portuguese eProcurement Interoperability project, a complex and critical national challenge. According to the practitioners, this is an important step for the success of the project.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129223211","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 contributes to the enterprise architecture (EA) methodologies by suggesting a method for eliciting architecture requirements: gathering both the current architecture information, and the development needs and requirements for the business architecture (BA) dimension in EA planning. Most of all EA dimensions, the developing of the BA requires collaboration with various non-IT stakeholders. It presents thus challenges to the IT department, or the consultancy involved in EA related efforts. The contribution of the various stakeholder groups as informants is, however, crucial to well founded EA design decisions. The suggested method takes related IS development fields as starting points. Collaborative approaches are well established in the fields of requirements engineering and business process design. However, EA specific issues remain to be explicated and incorporated to the collaboration. A BA information elicitation method (IEM) is not only a tool of the IT professional for a sound foundation for defining of the EA baseline, and developing of the requirements, but also an organizational change management vehicle. Involving stakeholders in a planned, consistent and balanced manner, it supports the establishing of collaboration routines of the IT and business stakeholder groups. The observations in a 12 month EA initiation project in a public organization are a basis for this constructive effort, where a BA elicitation method for the enterprise architecting is created. The constructed method is enhanced by evaluative comments of seven EA-experienced IT professionals.
{"title":"Collaborative EA Information Elicitation Method: The IEM for Business Architecture","authors":"M. Pulkkinen, Lassi Kapraali","doi":"10.1109/CBI.2015.33","DOIUrl":"https://doi.org/10.1109/CBI.2015.33","url":null,"abstract":"This study contributes to the enterprise architecture (EA) methodologies by suggesting a method for eliciting architecture requirements: gathering both the current architecture information, and the development needs and requirements for the business architecture (BA) dimension in EA planning. Most of all EA dimensions, the developing of the BA requires collaboration with various non-IT stakeholders. It presents thus challenges to the IT department, or the consultancy involved in EA related efforts. The contribution of the various stakeholder groups as informants is, however, crucial to well founded EA design decisions. The suggested method takes related IS development fields as starting points. Collaborative approaches are well established in the fields of requirements engineering and business process design. However, EA specific issues remain to be explicated and incorporated to the collaboration. A BA information elicitation method (IEM) is not only a tool of the IT professional for a sound foundation for defining of the EA baseline, and developing of the requirements, but also an organizational change management vehicle. Involving stakeholders in a planned, consistent and balanced manner, it supports the establishing of collaboration routines of the IT and business stakeholder groups. The observations in a 12 month EA initiation project in a public organization are a basis for this constructive effort, where a BA elicitation method for the enterprise architecting is created. The constructed method is enhanced by evaluative comments of seven EA-experienced IT professionals.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132236155","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}
Current research related to the subject matter of business informatics reflects divergent orientations that are fundamentally about representing, analyzing, and designing services or processes or work systems or enterprises. After summarizing those four orientations and citing typical exemplars, this paper identifies a variety of paths toward greater integration between different orientations within business informatics. It identifies central topics for each orientation along with areas in which each orientation provides ideas that complement other orientations and reveal possible synergies. Both the approach for identifying potential synergies and the proposed synergies themselves could encourage greater integration within business informatics.
{"title":"How Should Business Informatics Integrate Service, Process, Work System, and Enterprise Orientations?","authors":"Steven L. Alter","doi":"10.1109/CBI.2015.9","DOIUrl":"https://doi.org/10.1109/CBI.2015.9","url":null,"abstract":"Current research related to the subject matter of business informatics reflects divergent orientations that are fundamentally about representing, analyzing, and designing services or processes or work systems or enterprises. After summarizing those four orientations and citing typical exemplars, this paper identifies a variety of paths toward greater integration between different orientations within business informatics. It identifies central topics for each orientation along with areas in which each orientation provides ideas that complement other orientations and reveal possible synergies. Both the approach for identifying potential synergies and the proposed synergies themselves could encourage greater integration within business informatics.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123438160","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}
Governance of production support engagements entails handling complex and volatile scenarios that occur in production support environment. It deals with managing numerous policies and implementing the optimal ones to achieve best results for both client and the vendor. Understanding these policies is critical to provide better governance of these increasingly large and complex projects. This paper presents a three layered typological classification of the strategies and policies commonly employed in a typical project. Such a classification, as has been demonstrated in the paper, will be useful in planning and executing projects by making policy interventions to keep the projects on track easier.
{"title":"IT Service Management: A Typological Classification of Policies for Governance","authors":"V. K. Rai, A. Jha, Abhinay Puvvala","doi":"10.1109/CBI.2015.15","DOIUrl":"https://doi.org/10.1109/CBI.2015.15","url":null,"abstract":"Governance of production support engagements entails handling complex and volatile scenarios that occur in production support environment. It deals with managing numerous policies and implementing the optimal ones to achieve best results for both client and the vendor. Understanding these policies is critical to provide better governance of these increasingly large and complex projects. This paper presents a three layered typological classification of the strategies and policies commonly employed in a typical project. Such a classification, as has been demonstrated in the paper, will be useful in planning and executing projects by making policy interventions to keep the projects on track easier.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127577140","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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