摘要
大数据驱动的企业与用户互动创新已成为企业洞察市场和用户动态、提升创新敏捷性和适应性的重要模式,其关键因素和作用机制日益成为创新、营销和信息系统等领域的热点议题。结合系统性综述设计和关键词共现分析,梳理大数据情境下企业与用户互动创新的研究洞见。针对情境和工具如何影响领先用户与普通用户关系及二者的相互作用机制两个研究缺口,提出大数据驱动的企业与用户互动创新“条件—路径—绩效”理论框架。依据该理论框架,结合文献和案例证据,重点阐述在什么情境和工具条件下企业与领先用户、普通用户以何种互动创新路径影响创新产品和大数据合作资产,由此形成理论创新。分析结果表明,互动创新路径选择本质是在异质性情境和工具条件下,企业在创新新颖性—泛用性以及数据分析成本—收益之间的动态权衡;两类创新路径的动态变化由互动创新工具成熟度、创新主导权的变更所触发。最后,进一步提炼出大数据驱动的企业与用户互动创新理论研究的三类前沿课题,并讨论其理论和实践意义。
Big data-driven firm-user interactive innovation has become an important mode for firms to obtain market insight and user dynamics,and improve innovation agility and adaptability.Meanwhile,the key factors and mechanisms of such innovation mode have increasingly become hot topics in fields such as innovation,marketing,and information system.It combined systematic literature review design and keyword co-occurrence analysis to summarize research insights on firm-user interactive innovation in the context of big data.Aiming at the two research gaps of how context and tools affect the relationship between lead users and ordinary users,as well as the interaction mechanism between the two,a theoretical framework of “condition-path-performance” for big data-driven firm-user interactive innovation was proposed.Based on the framework,combined with literature and case evidence,it focused on the context and tool conditions in which firms interact with lead users and ordinary users to influence innovative products and big data cooperation assets,thus forming theoretical innovation.The analysis results indicate that the essence of interactive innovation path selection is the dynamic balance between innovation novelty-universality,as well as data analysis cost-benefit,under heterogeneous contexts and tool conditions.The dynamic changes in the two types of innovation paths are triggered by changes in the maturity of interactive innovation tools and innovation leadership.Finally,based on the research findings,three cutting-edge topics in the theoretical research of big data-driven firmuser interactive innovation were further refined,and their theoretical and practical significance was discussed.
作者
谢康
胡杨颂
肖静华
XIE Kang;HU Yang-song;XIAO Jing-hua(School of Business,Sun Yat-sen University,Guangzhou 510275,China)
出处
《研究与发展管理》
CSSCI
北大核心
2024年第1期147-161,共15页
R&D Management
基金
国家自然科学基金重点项目“互联网环境下大数据驱动的企业与用户互动创新理论、方法和应用研究”(71832014),“制造企业数字化转型与管理适应性变革研究”(72032009)。
关键词
产品创新
大数据驱动
企业与用户互动创新
大数据合作资产
product innovation
big data driven
firm-user interactive innovation
big data-based cooperative asset
