Mi Xuejiao, Zhang Huiying, Qu Fei
College of Management & Economics, Tianjin University, Tianjin 300072, China.
School of Management, Guilin University of Technology, Guilin 541004, China.
Behav Sci (Basel). 2024 Mar 6;14(3):210. doi: 10.3390/bs14030210.
In the realm of open innovation, users have emerged as a significant external source of innovation that enterprises cannot afford to overlook. Implemented ideas play a pivotal role in driving the iterative innovation of products within enterprises. However, the existing literature still lacks an exploration of specific impact mechanisms on contributions in idea implementation. This study presents a model that delineates the impact of user personality traits on idea implementation contributions, drawing upon theories such as personality trait theory, user engagement perspective, and trait activation theory. Empirical research was carried out by utilizing user data obtained from the Chinese high-tech company Xiaomi's MIUI community. Personality trait indicators were developed through the application of text mining and machine learning techniques. To evaluate the models, a negative binomial regression model, which is well-suited for handling discrete data, was employed. The findings of this study indicate that user openness and conscientiousness positively influence their idea implementation contribution, whereas neuroticism has a negative impact on implementation contribution. Additionally, it is observed that user engagement plays a partial mediating role in the relationship between openness, conscientiousness, neuroticism, and idea implementation contribution. Community incentives can positively moderate the impact of user engagement on the relationship between conscientious personality and idea implementation contribution. This study expands the analysis of the impact mechanism of user idea implementation contributions, which has important theoretical guidance and practical implications for accurately identifying leading users in open innovation communities and enhancing user innovation contributions.
在开放式创新领域，用户已成为企业不可忽视的重要外部创新源。已实施的想法在推动企业产品的迭代创新中发挥着关键作用。然而，现有文献仍缺乏对想法实施中贡献的具体影响机制的探讨。本研究提出了一个模型，该模型借鉴人格特质理论、用户参与视角和特质激活理论等，阐述了用户人格特质对想法实施贡献的影响。通过利用从中国高科技公司小米的MIUI社区获得的用户数据进行实证研究。通过应用文本挖掘和机器学习技术开发人格特质指标。为了评估模型，采用了适用于处理离散数据的负二项回归模型。本研究结果表明，用户的开放性和尽责性对其想法实施贡献有积极影响，而神经质对实施贡献有负面影响。此外，观察到用户参与在开放性、尽责性、神经质与想法实施贡献之间的关系中起部分中介作用。社区激励可以正向调节用户参与对尽责性人格与想法实施贡献之间关系的影响。本研究拓展了对用户想法实施贡献影响机制的分析，对准确识别开放式创新社区中的领先用户以及提高用户创新贡献具有重要的理论指导和实践意义。
