大数据资源与新服务开发绩效:人工智能能力调节作用的跨国实证  

A Cross-National Empirical Study of Big Data and New Service DevelopmentPerformance:Moderating Effect of Artificial Intelligence Capability

作　　者：张晓棠[1] Michael Song 张海丽[1] 王宇凡[1] Zhang Xiaotang;Michael Song;Zhang Haili;Wang Yufan(School of Economics and Management,Xi'an Technological University,Xi'an 710021,China)

机构地区：[1]西安工业大学经济管理学院,陕西西安710021

出　　处：《中国科技论坛》2023年第8期169-179,共11页Forum on Science and Technology in China

基　　金：国家自然科学基金项目“数字化产品创新过程视角下新兴技术能力对创新绩效作用机制的跨国研究”(72002162)。

摘　　要：人工智能能力影响企业能否利用大数据资源来提升新服务开发绩效,但影响机理及结果有待理论论证与实证检验。基于信息处理理论,构建以人工智能能力为调节变量的大数据资源与新服务开发绩效模型;收集477个美国与632个中国新服务开发项目数据,经回归分析发现:人工智能能力很低时,大数据资源负向影响新服务开发绩效;人工智能能力较低时,大数据资源不影响新服务开发绩效;人工智能能力达到中等及以上水平时,大数据资源正向影响新服务开发绩效;人工智能能力会强化大数据资源对新服务开发绩效的正向影响,但该强化效应在美国较高且逐年递增,在中国则较低且未逐年递增。Artificial intelligence capability(AIC)affects whether firms can use big data to improve their new service development(NSD)performance.Yet the specific role and effect of AIC in big data-driven NSD need further theoretical deduction and empirical examination.Based on information processing theory,this study builds a theoretical model of big data resources and NSD performance with AIC as the moderating variable.Using data collected from 477 U.S.and 632 Chinese NSD projects over three years,this study employed regression analysis to examine the theoretical model and make cross-national comparison.The results show that when AIC is lowest,big data decreases,not increases,the positive effects of big data on NSD performance.When AIC is lower,the positive effects of big data on NSD performance become insignificant.When AIC reaches medium or above level,big data has a positive impact on NSD performance,and increasing AIC increases the positive effects of big data on NSD performance.For U.S.projects,the positive moderating effect of AIC is stronger and increasing year by year.In contrast,for Chinese projects,the positive moderating effect of AIC is weaker and not increasing year by year.

关 键 词：大数据资源 人工智能能力 信息处理 新服务开发 绩效 

分 类 号：F272.3[经济管理—企业管理]