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大数据赋能下移动App个性化用户报告技术特征的维度探索与量表开发
臧维,崔宇晴,徐磊,郭婧
北京工业大学经济与管理学院
Dimension Exploration and Scale Development of Technical Features of Mobile App Personalized User Reporting Empowered by Big Data
ZANG Wei,CUI Yuqing,XU Lei,GUO Jing
Beijing University of Technology, Beijing, China

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摘要 基于需求-示能性-特征理论,厘清移动App个性化用户报告情境下用户与品牌间产生情感联结的心理机制。采用定性与定量相结合的研究范式,通过扎根理论对技术特征的结构维度展开探索性研究,在此基础上开发并检验了测量量表,还实证检验了技术特征对用户心理的预测效用。研究表明:该情境的技术特征包括镜像性、客观性、社会性、趣味性、安全性5个维度;技术特征的测量量表由5个因子、21个题项构成,且信度和效度均达到理想水平;技术特征能够通过自我展示示能性对心理所有权进行正向预测,满足用户心理需求并促进用户与品牌的关系。
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臧维
崔宇晴
徐磊
郭婧
关键词 大数据 移动App个性化用户报告 技术特征 维度探索 量表开发    
Abstract:Based on the theory of needs-affordances-features, this study aimed to clarify the psychological mechanism of emotional connection between users and brands in the context of Mobile App Personalized User Report. By using the research paradigm combining qualitative and quantitative research, an exploratory research with grounded theory on the structural dimensions of technical features was conducted. On this basis, the measurement scale was developed and tested, and the predictive utility of technical features on user psychology was empirically tested. The results showed that the technical features of this situation included five dimensions: Mirror-self, objective-self, sociality, fun and security. The measurement scale of technical features was composed of 5 factors and 21 items, and the reliability and validity all reached the ideal level. Technical features could positively predict the psychological ownership through the affordance of self-presentation and could also meet the psychological needs of users and promote the relationship between users and the brands.
Key wordsbig data technology    mobile App personalized user reports    technical feature    dimension exploration    scale development   
收稿日期: 2023-08-27     
基金资助:北京市自然科学基金资助青年科学基金项目(9174026)
通讯作者: 徐磊(1981~),女,安徽合肥人。北京工业大学(北京市100124)经济与管理学院副教授。研究方向为营销战略与品牌关系。     E-mail: rehneexu@bjut.edu.cn
引用本文:   
臧维,崔宇晴,徐磊,郭婧. 大数据赋能下移动App个性化用户报告技术特征的维度探索与量表开发[J]. 管理学报, 2024, 21(10): 1541-. ZANG Wei,CUI Yuqing,XU Lei,GUO Jing. Dimension Exploration and Scale Development of Technical Features of Mobile App Personalized User Reporting Empowered by Big Data. Chinese Journal of Management, 2024, 21(10): 1541-.
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