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    A Real-Time Associative Feature-Based Customer Relationship Management and Enterprise Resource Planning Integration Model for Small- and Medium-Sized Enterprises

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 012::page 121004-1
    Author:
    Sun, Yiding
    ,
    Li, Xinming
    ,
    Ma, Yongsheng
    DOI: 10.1115/1.4066802
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Customer relationship management (CRM) and enterprise resource planning (ERP) have been extensively discussed in the research literature respectively. However, existing studies do not reach a complete agreement on the CRM/ERP integration method, especially for small- and medium-sized enterprises (SMEs). Generally, this work proposed a novel method for CRM/ERP integration approach via associative feature technology. A new feature type, Real-time Data Link Board (RDLB), is developed and detailed as a generic information carrier solution for multisystem integration between CRM and ERP packages. Valuable data elements are mapped into such data boards dynamically and synchronized across different data sources, structures, and databases. The contribution of this work is to present a well-defined and generically reusable data carrier definition, alongside related methods for ensuring consistent data modeling during the system integration phase across various digitalization engineering implementation projects. With this approach, the consistent management of data integration across intricate systems is achievable throughout application lifecycles, supported by the object-oriented software engineering foundation.
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      A Real-Time Associative Feature-Based Customer Relationship Management and Enterprise Resource Planning Integration Model for Small- and Medium-Sized Enterprises

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4308016
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    • Journal of Computing and Information Science in Engineering

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    contributor authorSun, Yiding
    contributor authorLi, Xinming
    contributor authorMa, Yongsheng
    date accessioned2025-08-20T09:16:41Z
    date available2025-08-20T09:16:41Z
    date copyright11/5/2024 12:00:00 AM
    date issued2024
    identifier issn1530-9827
    identifier otherjcise_24_12_121004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4308016
    description abstractCustomer relationship management (CRM) and enterprise resource planning (ERP) have been extensively discussed in the research literature respectively. However, existing studies do not reach a complete agreement on the CRM/ERP integration method, especially for small- and medium-sized enterprises (SMEs). Generally, this work proposed a novel method for CRM/ERP integration approach via associative feature technology. A new feature type, Real-time Data Link Board (RDLB), is developed and detailed as a generic information carrier solution for multisystem integration between CRM and ERP packages. Valuable data elements are mapped into such data boards dynamically and synchronized across different data sources, structures, and databases. The contribution of this work is to present a well-defined and generically reusable data carrier definition, alongside related methods for ensuring consistent data modeling during the system integration phase across various digitalization engineering implementation projects. With this approach, the consistent management of data integration across intricate systems is achievable throughout application lifecycles, supported by the object-oriented software engineering foundation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Real-Time Associative Feature-Based Customer Relationship Management and Enterprise Resource Planning Integration Model for Small- and Medium-Sized Enterprises
    typeJournal Paper
    journal volume24
    journal issue12
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4066802
    journal fristpage121004-1
    journal lastpage121004-12
    page12
    treeJournal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 012
    contenttypeFulltext
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