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论文编号：	16159
作者编号：	2120243876
上传时间：	2026/6/10 10:18:05
中文题目：	数智转型背景下企业档案数据场景化 服务模型构建研究
英文题目：	Research on the Construction of Scenario-Based Enterprise Archives Data Service Model in the Context of Digital-Intelligent Transformation
指导老师：	冯湘君
中文关键字：	数智转型；企业档案数据；场景化服务；扎根理论；服务模型
英文关键字：	Digital and intelligent transformation；Corporate archival data；Scenario?based services；Grounded theory；Service model
中文摘要：	数智转型背景下，企业数智转型是企业自身发展的需要。企业档案数据是 企业核心业务记录和战略性数据资源，其价值释放和服务模式升级是企业数智 转型的重要部分。然而，现有研究对企业档案数据场景化服务的生成机制与运 行逻辑阐释不足，这制约了企业档案数据价值的释放。因此，本研究构建数智 转型背景下企业档案数据场景化服务模型，揭示企业档案数据场景化服务的构 成要素、要素间关系、内在运行机理及实现机制，为企业档案工作提供理论支 撑与实践指引。 研究采用扎根理论的方法，对不同行业的 13 位企业档案相关从业者进行深 度访谈，获得约 12 万字的访谈资料。经过三级编码，在 286 条有效的原始语句 基础上提取出了 61 个初始概念、18 个初始范畴以及 5 个主范畴，从而确定了以 档案数据场景化服务为核心范畴，最终形成了包含外部环境、价值感知、用户 需求、组织支持、服务场景的企业档案数据场景化服务理论模型。 该模型呈现“外部驱动内部循环”的整体结构。外层为外部环境驱动层， 包含国家政策导向和行业生态环境两个主范畴，共同构成系统运行的驱动与约 束力量；内层由价值感知、用户需求、组织支持、服务场景四个主范畴构成， 形成“价值感知→需求表达→资源投入→场景落地→价值反馈”的循环链。其 中，价值感知是动力起点，涵盖服务主体认知、服务对象认知和企业领导认知 三个层面；用户需求与服务场景呈现层级对应关系，基础利用需求对应基础保 障场景，业务协同需求对应业务协同场景，智能知识需求对应智能应用场景； 组织支持是基础保障，涵盖数据资源、人力资源、制度支持、技术支持、组织 结构、资金支持和领导支持。 研究进一步揭示了主范畴间的直接作用机理和中介作用机理，并将该模型 与服务场景理论进行比较分析，明确了本研究对服务场景理论从物理场景到数 字场景的适用性拓展贡献。最后，从重构价值认知体系、搭建组织与资源支撑 体系、强化全生命周期档案数据资产治理、推动需求牵引的场景化服务分层落 地、构建闭环动态迭代机制五个方面提出了模型的实现机制，为企业档案工作 从资源管理走向业务赋能提供了理论支撑与实践指引。
英文摘要：	Against the backdrop of digital and intelligent transformation, such transformation has become a necessity for the development of enterprises. Corporate archival data constitutes the core business records and strategic data resources of an enterprise; unlocking its value and upgrading service models are integral components of this transformation. However, existing research has not sufficiently elucidated the mechanisms and operational logic underlying the provision of context-based services for corporate archival data, which has hindered the full realization of the value of such data. Therefore, this study constructs a scenario-based service model for corporate archival data in the context of digital and intelligent transformation. It identifies the key components of scenario-based services for corporate archival data, the relationships among these components, their underlying operational mechanisms, and implementation strategies, thereby providing theoretical support and practical guidance for corporate archival management. The study employs a grounded theory approach, conducting in-depth interviews with 13 corporate archival professionals across different industries, yielding approximately 120,000 words of primary data. Through a three-tiered coding processopen coding, axial coding, and selective coding61 initial concepts, 18 initial categories, and 5 main categories were extracted from 286 valid original statements. This established “scenario-based archival data services” as the core research category. This ultimately led to the development of a theoretical model for scenario-based enterprise archival data services in the context of digital and intelligent transformation, encompassing five key dimensions: external environment, value perception, user needs, organizational support, and service scenarios. This model presents an overall structure of “external drive-internal cycle.” The outer layer is the external environment drive layer, comprising two main categories: national policy orientation and industry ecosystem, which together constitute the driving and constraining forces for the system’s operation; the inner layer consists of four main categoriesvalue perception, user needs, organizational support, and service scenarios-forming a dynamic cycle chain of “value perception → demand expression → resource investment → scenario implementation → value feedback.” Among these, value perception serves as the starting point of the driving force, encompassing three levels: the service provider’s perception, the service recipient’s perception, and the corporate leadership’s perception. User needs and service scenarios exhibit a hierarchical correspondence: basic utilization needs correspond to basic support scenarios; business collaboration needs correspond to business collaboration scenarios; and intelligent knowledge needs correspond to intelligent application scenarios. Organizational support serves as the foundational guarantee, covering data resources, human resources, institutional support, technical support, organizational structure, financial support, and leadership support. The study further reveals the direct and mediating mechanisms of interaction among the main categories and conducts a comparative analysis of this model with service scenario theory, clarifying the contribution of this research to the paradigm expansion of service scenario theory from physical scenarios to digital scenarios. Finally, the study proposes implementation mechanisms for the model across five dimensions: reconstructing the value recognition system, establishing an organizational and resource support system, strengthening full-lifecycle governance of archival data assets, promoting the tiered implementation of demand-driven scenario-based services, and constructing a closed-loop dynamic iteration mechanism. These provide theoretical support and practical guidance for corporate archival work to transition from resource management to business empowerment.
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