【摘要】 产业集群是实体经济发展的重要形态，量大面广的集群中小企业如何推进数字化转型是现实难点。已有研究指出借助大平台赋能是推进集群中小企业数字化转型的重要路径，但需要追问的是产业集群赋能平台从何而来？对此，本文理论抽样物产中大化工集团进入浙江海宁经编产业集群，构建“经编产业集成服务平台”的案例开展研究，归纳出一条集群外部企业联合集群企业和区域政府共同构建平台的路径。研究发现：产业集群赋能平台构建是功能开发行为与信任构建行为的共演，推动平台螺旋式成长的过程。具体包括“统一平台价值认知”“沉淀平台数据资源”和“挖掘平台数据价值”3个阶段。首先，平台构建以“统一平台价值认知”为起点，通过“平台用户痛点挖掘”和“数据价值主张形成”的功能开发行为，指引推进“制度信任构建”，吸引天使用户加入共创，获取价值反馈；其次，推进“沉淀平台数据资源”，通过“平台数据获取”和“平台数据汇聚”的功能开发行为，形成数字工具，服务“关系信任构建”，进而促进平台与用户共创、强化数据获取的深度；最后，发力“挖掘平台数据价值”，通过“数据驱动效率提升”和“数据驱动业务创新”的功能开发行为，支撑“计算信任构建”，快速提升用户数据规模，进而服务平台功能的持续升级。本文为产业平台构建研究贡献了“功能开发与信任构建共演”的新视角，并且在数字平台情境下深化了多维度信任及其动态性的研究。更多还原

【Abstract】 Industrial cluster is a significant form of economic development, but achieving digital transformation for small and mediumsized enterprises(SMEs) in clusters is challenging. Previous research has highlighted the critical role of industrial platforms in enabling SMEs to conduct digital transformation. However, the issue of where the industrial cluster enabling platform comes from remains to be further studied. In this regard, this paper theoretically samples the case of the Warp Knitting Industry Integration Service Platform, explores a way for outside enterprises of the cluster to jointly develop the platform with cluster enterprises and local governments. The study found that the construction of an industrial cluster enabling platform is essentially the co-evolution of functional development behavior and trust construction behavior, which promotes the spiral growth of the platform. Specifically, the construction process includes three stages: "unifying platform value cognition", "accumulating platform data resource" and "mining platform data value". Firstly, instead of exploiting a data aggregation platform, industrial cluster enabling platform construction begins with the identification of industry needs and the unification of the platform value. The industrial platform construction takes "unified platform value recognition" as the primary, and "institutional trust construction" is guided by functional development behaviors of "platform user pain point mining" and "data value proposition formation",which helps attract angel users to join in and obtain value feedback. Secondly, at the stage of "accumulating platform data resources", digital tools are developed to support "relationship trust construction" via the functional development behaviors of "platform data acquisition" and "platform data aggregation", which encourages the platform and users to co-create and deepen data acquisition. Thirdly, at the "mining platform data value" stage, the functional development behaviors of "data-driven efficiency improvement" and "data-driven business innovation" support "calculative trust construction", which helps rapidly improve the scale of user data, and then continuously upgrade the functions of the platform. This study provides a new perspective on the "co-evolution of functional development and trust construction" in industrial platform research, and extends the understanding of multidimensional trust and its dynamics in the context of digital platforms.更多还原