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中国管理科学 ›› 2023, Vol. 31 ›› Issue (3): 186-195.doi: 10.16381/j.cnki.issn1003-207x.2022.0244

• 论文 • 上一篇    

数字追溯对食品企业创新行为的影响——知识整合的中介效应和环境动态性的调节效应

周雄勇1, 朱庆华1, 许志端2   

  1. 1.上海交通大学安泰经济与管理学院 上海200030; 2.厦门大学管理学院,福建 厦门361005
  • 收稿日期:2022-02-09 修回日期:2023-02-03 发布日期:2023-04-03
  • 通讯作者: 朱庆华(1970-),女(汉族),江苏太仓人,上海交通大学安泰经济与管理学院,特聘教授,博士,研究方向:绿色供应链、食品供应链,Email:qhzhu@sjtu.edu.cn. E-mail:qhzhu@sjtu.edu.cn
  • 基金资助:
    国家自然科学基金资助创新群体项目(72221001);国家自然科学基金资助重大项目(72192833,72192830)

The Effect of Digital Traceability on Innovation Behaviors of Food Firms: An Analysis of Mediation Effect of Knowledge Integration and Moderation Effect of Environmental Dynamism

ZHOU Xiong-yong1, ZHU Qing-hua1, XU Zhi-duan2   

  1. 1. Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China; 2. School of Management, Xiamen University, Xiamen 361005, China
  • Received:2022-02-09 Revised:2023-02-03 Published:2023-04-03
  • Contact: 朱庆华 E-mail:qhzhu@sjtu.edu.cn

摘要: 创新是企业发展的生命力,而蓬勃发展的数字技术能否以及如何催生和促进食品企业的创新行为受到社会各界的广泛关注。基于扩展的知识基础观,以知识整合为中介变量和环境动态性为调节变量,本文构建了一种重要的新兴信息技术——数字追溯对促进企业创新行为(产品创新、流程创新、管理创新)影响的理论模型。采用四个可追溯体系建设示范地区中305家在数字追溯方面已经具备一定基础的食品企业的问卷调查数据,运用层级回归和调节中介模型检验方法,剖析数字追溯对促进企业创新行为作用机制和边界条件。实证结果表明:(1)数字追溯对食品企业三种创新行为具有显著的正向影响;(2)知识整合在数字追溯与创新行为之间起到中介作用,其中数字追溯对流程创新和管理创新的影响存在部分中介效应,对产品创新的影响存在完全中介效应;(3)环境动态性在数字追溯促进创新行为的直接路径中没有调节作用,但在中介效应的前半段(数字追溯—知识整合)和后半段(知识整合—流程创新、知识整合—管理创新)中起调节作用。

关键词: 数字追溯;创新行为;知识整合;环境动态性

Abstract: Innovation is the vitality of the firm development, and whether and how the booming digital technology can lead and even promote innovation behaviors by food firms has attracted extensive attention from academia and practitioners. Drawing on the extended knowledge-based view (KBV), a conceptual model is developed and the impact of an important emerging information technology, digital traceability, on promoting firms’ innovation behaviors (product innovation, process innovation, and management innovation) is explored, examining the mediating role of knowledge integration as well as the moderating effect exerted by environmental dynamism. A questionnaire survey method is used to investigate 305 food firms that have already established a certain foundation in digital traceability in four traceability system construction demonstration areas, including Shangdong, Shanghai, Ningxia, and Fujian in China. Hierarchical regression with moderated mediation test methods is used to verify the impact mechanism and boundary conditions of digital traceability in promoting firms’ innovation behaviors. The empirical results show that: (1) Digital traceability has a significant positive impact on the three innovation behaviors among food firms. Specifically, when food firms implement digital traceability practices, the positive promotion of process innovation is most significant, followed by management and product innovation. (2) Knowledge integration mediates the relationship between digital traceability and innovation behaviors; moreover, digital traceability has partial mediation effects on both process innovation and management innovation while it has a full mediation effect on product innovation. Knowledge integration, as a powerful means of transforming resources into performance, provides the necessary conditions for firm innovation. (3) Environmental dynamism does not play a moderating role in the direct path between digital traceability and innovation behaviors, whereas it plays a moderating role in the first half path (digital traceability-knowledge integration) and the second half path (knowledge integration-process innovation, knowledge integration-management innovation) of the mediation effects. One significant theoretical contribution to the supply chain traceability literature of this study is that it develops a theoretical model, building on the extended KBV, to explore the digital traceability practices-innovation behaviors link by explicating the effects of knowledge integration and environmental dynamism in the food sector. This study highlights the value of digital traceability practices for innovation behaviors and examines the mediating roles of knowledge integration, consequently uncovering the black box of the traceability-innovation relationship. Most importantly, this study also broadens the application of the extended KBV by substantiating the theoretical claim that the linkage between digital traceability practices and innovation behaviors is contingent on environmental dynamism. To sum up, statistical empirical results provide practical implications for food firms on how practitioners identify ways for promoting innovation behaviors through digital traceability practices with the association of knowledge integration strategies in a dynamic environment.

Key words: digital traceability; innovation behavior; knowledge integration; environmental dynamism

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