Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies

被引:1
|
作者
Ma, Dechao [1 ]
Wu, Weiwei [1 ]
机构
[1] Harbin Inst Technol, Sch Management, Harbin 150000, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial intelligence; Technology convergence; Digital orientation; RESOURCE-BASED VIEW; STRATEGIC ORIENTATIONS; INNOVATION; PERFORMANCE; EXAMPLES; INDUSTRY; IMPACT;
D O I
10.1016/j.techsoc.2024.102715
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
With the rapid rise of artificial intelligence (AI), seemingly unrelated technological domains have become closely interconnected, creating favorable conditions for achieving deep convergence between technologies. This study, drawing on the resource-based view theory, investigates the relationship between AI applications and technology convergence, while analyzing the moderating role of digital orientation. We chose Chinese A-share listed manufacturing companies from 2015 to 2022 as our research sample to validate our hypotheses. Empirical results indicate that the application of AI has a positive impact on both novel and reinforced technology convergence. Furthermore, firms with a high level of digital orientation enhance the positive effects of AI applications on novel and reinforced technology convergence. The research findings contribute empirically to the field of AI and technology convergence, offering valuable insights for firms on how to leverage AI to drive technology convergence.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Artificial intelligence of robotics and green transformation: evidence from Chinese manufacturing firms
    Sun, Lei
    Wang, Jing
    Wang, Shanyong
    Li, Haidong
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2025,
  • [2] Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
    Liu, Jun
    Qian, Yu
    Yang, Yuanjun
    Yang, Zhidan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (04)
  • [3] Artificial Intelligence Software Adoption in Manufacturing Companies
    Kovic, Klemen
    Tominc, Polona
    Prester, Jasna
    Palcic, Iztok
    APPLIED SCIENCES-BASEL, 2024, 14 (16):
  • [4] Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms
    Xie, Mengmeng
    Ding, Lin
    Xia, Yan
    Guo, Jianfeng
    Pan, Jiaofeng
    Wang, Huijuan
    ECONOMIC MODELLING, 2021, 96 : 295 - 309
  • [5] The impact of artificial intelligence application on company environmental investment in Chinese manufacturing companies
    Dong, Zhenlin
    Xin, Zijun
    Liu, Dewen
    Yu, Fangkun
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 95
  • [6] Technology mining: Artificial intelligence in manufacturing
    Zeba, Gordana
    Dabic, Marina
    Cicak, Mirjana
    Daim, Tugrul
    Yalcin, Haydar
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 171
  • [7] Has Artificial Intelligence Promoted Manufacturing Servitization: Evidence from Chinese Enterprises
    Chen, Daxing
    Xu, Helian
    Zhou, Guangya
    SUSTAINABILITY, 2024, 16 (06)
  • [8] Can enterprise green technology innovation performance achieve "corner overtaking" by using artificial intelligence?-Evidence from Chinese manufacturing enterprises
    Tian, Hongna
    Zhao, Liyan
    Li, Yunfang
    Wang, Wei
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 194
  • [9] Does artificial intelligence promote common prosperity within enterprises? -Evidence from Chinese-listed companies in the service industry
    Chen, Kaiming
    Chen, Xiaoqian
    Wang, Zhan-ao
    Zvarych, Roman
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 200
  • [10] Does Artificial Intelligence Improve Export Technical Complexity Upgrade of Manufacturing Enterprises? Evidence from China
    Lin, Changqing
    Xiao, Shengpeng
    Tang, Pingjuan
    SAGE OPEN, 2024, 14 (03):