大数据
业务
产品(数学)
过程(计算)
生产力
分析
资源(消歧)
中国
全球化
测量数据收集
基于资源的视图
产业组织
知识管理
营销
数据科学
计算机科学
经济
数据挖掘
政治学
统计
操作系统
宏观经济学
市场经济
数学
计算机网络
法学
几何学
竞争优势
作者
Hamza Saleem,Yongjun Li,Zulqurnain Ali,Aqsa Mehreen,Muhammad Salman Mansoor
标识
DOI:10.1080/13602381.2020.1759300
摘要
Globalization and a keen interest in big data have directed the firms to develop and utilize big data analytics (BDA) to bring technological innovation (TI) and enhance firm productivity. Using resource-based view theory (RBVT), we intend to predict TI and SMEs' performance through BDA. Therefore, we recruited 312 Chinese SMEs' officials using survey methods. The proposed model and structural associations were examined in AMOS. The findings suggest that BDA (predictive-and-prescriptive) is positively related to TI (product-and-process) and SMEs' performance. Moreover, TI (product-and-process) mediates the relationship between BDA and SMEs performance. Finally, the study discussion and implications are recorded.
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