| 石丽雯,郭伟,张静,刘金剑.群智项目创新潜力的影响因素研究[J].包装工程,2021,42(24):13-21, 72. |
| 群智项目创新潜力的影响因素研究 |
| Factors Impacting Innovation Potential in Crowd Intelligence Project |
| 投稿时间：2021-07-09 |
| DOI：10.19554/j.cnki.1001-3563.2021.24.002 |
| 中文关键词: 群智创新 项目创新潜力 类RFM模型分类 回归分析 |
| 英文关键词: crowd intelligence design project innovation potential improved RFM model classification regression analysis |
| 基金项目:国家重点研发计划资助项目(2018YFB1700800) |
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| 中文摘要: |
| 目的 在群智协同设计背景下，对自组织项目创新潜力的影响因素进行了梳理和分析。方法 基于创新扩散理论和信息接收模型，从用户及项目特征的数量和质量两个维度选取参数去研究其对项目持续创新的影响。结合典型群智协同创新社区——LaunchForth平台，采用数据挖掘和改进RFM项目识别方法对项目创新潜力类型进行划分，结合572项个人项目的创新成功率，分别对高创新成功率、中创新成功率和低创新成功率3类项目进行创新潜力影响因素回归分析、对比及研究。结果 得出群智项目创新潜力影响因素回归模型和群智涌现过程中对不同项目创新成功率的影响指标。结论 提出激发自组织群智项目创新潜力的管理策略——用户存量为王，量变决定质变，对保持自组织项目创新潜力有重要参考价值。且提出一种快速识别项目创新潜力水平的方法，对提升群智协同创新平台初期孵化项目的成功比例有一定指导意义。 |
| 英文摘要: |
| Under the background of crowd intelligence collaborative design, the influencing factors of innovation potential in self-organizing projects are analyzed. Based on diffusion of innovation theory and information adoption model, parameters are chosen from the quantity and quality dimensions of users and project characteristics to study their impact on the sustainable innovation of projects. Combined with the LaunchForth platform, a typical crowd intelligence collaborative innovation community, data mining and improved RFM project identification methods are used to classify project innovation potential types. Combined with the innovation success rate of 572 individual projects, the regression analysis, comparison and research on the influencing factors of innovation potential of three kinds of projects with the high success rate, medium success rate and low success rate of innovation are conducted. The regression model of influencing factors of innovation potential of crowd intelligence projects and the index of influencing factors of innovation success rate of different projects during the emergence of crowd intelligence is obtained. This paper puts forward a management strategy to stimulate the innovation potential of self-organizing crowd intelligence projects:the quantity of users is most important, and qualitative change is determined by the quantitative change, which has important reference value for maintaining the innovation potential of self-organizing crowd intelligence projects. In addition, a method to quickly identify the innovation potential level of projects is proposed, which has certain guiding significance for improving the success ratio of initial incubation projects in the crowd intelligence collaborative innovation platform. |
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