基于信号理论的开放式创新平台创意认可度研究

Research on the Idea Recognition of Open Innovation Platform Based on Signal Theory

产品用户在企业建立的开放式创新平台上发布创意,认可度表示创意是否受到欢迎,是衡量创意质量的重要指标。通过创意文本传达的信号,可以快速高效识别有价值的创意。本研究基于信号理论,从信息和情感两个方面提出五种语言信号,据此构建语言信号对创意认可度影响的理论模型,并采用Salesforce TrailBlazer Community的10818条创意验证模型和假设。结果表明,信息独特性、文本可读性和情感效价对创意认可度产生正向影响,主题多样性及情感主观性对创意认可度产生负向影响。本研究结论有助于开放式创新平台管理者加深对创意文本特征的认知,制定更为完善的运营策略。

Product users publish ideas on the open innovation platform established by the enterprise.The degree of recognition indicates whether the idea is welcomed or not,which is an important indicator to measure the quality of the idea.Through the signals conveyed by creative texts,valuable ideas can be quickly and efficiently identified.Based on the signal theory,we propose five language signals from the aspects of information and emotion,and build a theoretical model of the influence of language signals on idea recognition by 10818 ideas on Salesforce TrailBlazer Community.The results show that information uniqueness,text readability,and emotional valence signals have a positive impact on idea recognition,and subject diversity and emotional subjectivity have a negative impact on idea recognition.The conclusions of this research help open innovation platform managers to deepen their understanding of the characteristics of creative texts and formulate more complete operational strategies.