数智技术赋能可持续制造和循环经济的效应研究

Research on the Enabling Effect of Digital Intelligence Technology on Sustainable Manufacturing and Circular Economy

以大数据分析和人工智能(BDA-AI)为核心的数智技术具有全面赋能可持续制造(SM)和循环经济(CE)的独特潜力,其协同发展是当前全球生产系统发展的重要趋势。然而,目前BDA-AI研究仍集中于技术层面,实证研究匮乏,且极少关注其对于SM和CE的赋能效应。基于制度论、资源观、组织文化和动态能力观等理论视角,构建BDA-AI赋能SM和CE的跨领域研究模型;收集中国装备制造业中231家企业的一手数据,采用PLS-SEM方法进行实证检验。结果显示,外部制度压力(强制压力、规范压力和模仿压力)通过影响企业内部资源(有形资源和劳动力技能)配置,推动BDA-AI采用;BDA-AI对于SM和CE具有显著的赋能效应;大数据文化、环境动态性和组织灵活性在模型路径中发挥显著的调节作用。

Digital intelligence technology with big data analytics and artificial intelligence(BDA-AI)as its core has the unique potential of comprehensively enabling sustainable manufacturing(SM)and circular economy(CE).The synergetic development of BDA-AI is an important trend in the current development of global production systems.However,the existing researches on BDA-AI are still focused on the technical level,lacking empirical researches and little attention is paid to its enabling effect on SM and CE.Based on institutional theory,resource-based view,organizational culture and dynamic capability view,a cross domain research model of BDA-AI enabling SM and CE is developed;the primary data of 231 enterprises in China’s equipment manufacturing industry are collected,and the PLS-SEM method is used for empirical test.The results show that external institutional pressures(coercive pressures,normative pressures and mimetic pressures)promote the adoption of BDA-AI by influencing the allocation of internal organizational resources(tangible resources and workforce skills);BDA-AI has a significant enabling effect on SM and CE;big data culture,environmental dynamism and organizational flexibility play significant moderating effects in the model paths.