机构地区:[1]江西师范大学商学院,江西南昌330022 [2]武汉大学中国产学研合作问题研究中心,湖北武汉430072
出 处:《经济管理》2022年第5期189-208,共20页Business and Management Journal ( BMJ )
基 金:国家社会科学基金重点项目“数字化赋能人力资源服务企业的动态创新能力识别与培育机制研究”(21AGL018);国家社会科学基金重点项目“互联网赋能相对贫困识别与治理长效机制研究”(20AGL032);教育部人文社会科学研究青年基金项目“‘放水养鱼’还是‘放鱼养水’:众创空间与入孵创客共同成长的追踪研究”(19YJC630016)。
摘 要:工业互联网平台正在成为驱动企业数智化转型升级的新引擎。本文运用关键词共现和社会网络分析方法,阐释了工业互联网平台及其赋能内涵、演化过程与影响因素和对价值共创等的赋能机理,研究发现:(1)工业互联网平台及其赋能的本质是将工业场景资源全面数字化、模型化,并通过数字化连接物理世界与虚拟世界,促进异质分布数据资源的深度整合、优化与重构,驱动平台和用户生成个性化数据能力以释放数据价值,具有系统性、互动性和个性化特征。(2)从“IoT→IIoT→IIoT平台”演化过程受到技术、组织和环境三类因素影响,未来可能分化出政府主导型、市场主导型、政府与企业共建型三条成长路径,并将从独立分散形态向互融、互促、共生的联合生态体方向发展。(3)工业互联网平台驱动高质量发展、制造业服务化、价值共创、商业模式创新和智能制造,遵循“数据资源行动—数据能力生成—数据价值实现”的赋能逻辑。(4)影响工业互联网平台发展的组态条件、管理模式、组织平台化机制、主体间交互赋能机制、平台生态化治理机制等理论亟待建构。The industrial Internet of things platform(IIoT platform) is becoming a new engine driving the intelligent transformation of enterprises.This paper uses the method of keyword co-occurrence and social network analysis to describe the relationship between the IIoT platform and the underlying technology and its enabling results.The research results are shown that:(1) The essence of the IIoT platform and its enabling is to fully digitize and model industrial scene resources and connect the physical world and the virtual world through digitalization, promote the deep integration, optimization, and reconstruction of heterogeneous distributed data resources, and drive the platform and users to generate personalized data capabilities to release data value.(2) The theoretical perspectives of IIoT platform research include organizational behavior, platform, industry, economics, etc.,which are fragmented and mainly derived from mature theories.(3) The evolution process from “IoT→IIoT→IIoT platform” is affected by three factors: technology, organization, and environment.In the future, three growth paths may be divided into government-led, market-led, and government-enterprise co-construction.The IIoT platform will develop from an independent and decentralized form to a joint ecosystem of mutual integration, mutual promotion, and symbiosis.(4) The IIoT platform drives high-quality development, service-oriented manufacturing, value co-creation, business model innovation, and intelligent manufacturing, which follows the empowerment logic of “data resource action-data capability generation-data value realization”.Specifically, high-quality development focuses on the impact of changes in production materials on the production process, value co-creation focuses on intelligent collaboration between ecosystems, business models innovation focus on personalized customization and service development models, service-oriented manufacturing focuses on the integration of services at the transaction, product and user levels, and
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