Digital finance innovation in green manufacturing: a bibliometric approach

被引:41
作者
Chang, Lei [1 ]
Zhang, Qi [2 ]
Liu, Hongda [3 ]
机构
[1] Sci & Technol Univ, Beijing, Peoples R China
[2] Lally Business Coll, Rensselaer Polytech Inst, Troy, NY USA
[3] Tongji Univ, Sch Econ Management, Shanghai, Peoples R China
关键词
Digital finance innovation; Green manufacturing; Bibliometric; Intelligent servitization; Orchestration capability; BUSINESS-MODEL INNOVATION; SERVITIZATION; CAPABILITIES; TRANSFORMATION; TECHNOLOGY; INDUSTRY; SYSTEMS; DOWNSTREAM; ECOSYSTEMS; FRAMEWORK;
D O I
10.1007/s11356-021-18016-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the era of Industry 4.0, the innovative applications of the industrial internet of things continue to deepen, and the trend of digital transformation of the green manufacturing industry continues to expand. In this context, the study of digital finance innovation in green manufacturing enterprises is conducive to transforming and upgrading enterprises and national economic development. In order to review the theoretical foundations and the current state of research under this topic, this paper provides an overview of digital finance innovation in green manufacturing companies based on 296 papers published between 1900 and 2021 through bibliometric and scientific visualization methods. This paper uses HistCite to identify the most influential authors, institutions, and countries and uncover the lineage of research on digital finance innovation in green manufacturing companies. At the same time, VOSviewer is used to identify research hotspots and research clusters under the topic. Finally, on this basis, this paper classifies the types of digital innovation from the perspective of value creation. It proposes a theoretical framework for the realization path of digital finance innovation in green manufacturing enterprises based on intelligent servitization and orchestration capabilities. The findings of this paper enrich the existing innovation theory and facilitate scholars to conduct future research more effectively.
引用
收藏
页码:61340 / 61368
页数:29
相关论文
共 50 条
[31]   Examining the Transformative Influence of Digital Finance on Green Technological Innovation: Empirical Insights from China [J].
Zhao, Beibei .
JOURNAL OF THE KNOWLEDGE ECONOMY, 2024, :2068-2081
[32]   Green innovation in human-centric smart manufacturing [J].
Wang, Jing ;
Dong, Ting-Ting ;
Peng, Ding-Hong .
MANAGEMENT DECISION, 2025,
[33]   Will green financial policy help improve China's environmental quality? the role of digital finance and green technology innovation [J].
Hou, Hui ;
Zhu, Youbin ;
Wang, Jian ;
Zhang, Minglang .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (04) :10527-10539
[34]   Mapping the field of green manufacturing: A bibliometric review of the literature and research frontiers [J].
Punj, Nidhi ;
Ahmi, Aidi ;
Tanwar, Anita ;
Rahim, Suzari Abdul .
JOURNAL OF CLEANER PRODUCTION, 2023, 423
[35]   The Sustainable Digitalization in the Manufacturing Industry: A Bibliometric Analysis and Research Trend [J].
Shang, Zhiming ;
Zhang, Liming .
MOBILE INFORMATION SYSTEMS, 2022, 2022
[36]   Do pilot zones for green finance reform and innovation promote energy savings? Evidence from China [J].
Zhang, Zhenhua ;
Wang, Jing ;
Feng, Chao ;
Chen, Xi .
ENERGY ECONOMICS, 2023, 124
[37]   Green innovation system for manufacturing enterprises [J].
Li, J ;
Gu, PL ;
Liao, YH .
NEW TRENDS OF INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT IN NEW CENTURY, 2001, :495-499
[38]   Digital sustainable business model innovation: applying dynamic capabilities approach (DSBMI-DC) [J].
Hajiheydari, Nastaran ;
Kargar Shouraki, Mohammad ;
Vares, Hamed ;
Mohammadian, Ayoub .
FORESIGHT, 2023, 25 (03) :420-447
[39]   A Synthetic Review on Enterprise Digital Transformation: A Bibliometric Analysis [J].
Chen, Junru ;
Shen, Lei .
SUSTAINABILITY, 2024, 16 (05)
[40]   Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review [J].
Iftikhar, Anas ;
Ali, Imran ;
Arslan, Ahmad ;
Tarba, Shlomo .
ANNALS OF OPERATIONS RESEARCH, 2024, 333 (2-3) :825-848