EFFECTS OF ARTIFICIAL INTELLIGENCE-BASED TECHNOLOGIES IMPLEMENTATION ON THE SKILLS NEEDED IN THE AUTOMOTIVE INDUSTRY - A BIBLIOMETRIC ANALYSIS

被引:0
|
作者
Cretu, Raluca-Florentina [1 ]
Tutui, Daniela [1 ]
Banta, Viorel-Costin [1 ]
Serban, Elena Claudia [1 ]
Barna, Laura-Eugenia-Lavinia [1 ]
Cretu, Romeo-Catalin [2 ]
机构
[1] Bucharest Univ Econ Studies, Bucharest, Romania
[2] Univ Agr Sci & Vet Med, Bucharest, Romania
关键词
artificial intelligence (AI); skills; automotive industry; bibliometric analysis; automation; implementation; tasks; AUTOMATION; IMPACT; LINK;
D O I
10.24818/EA/2024/67/801
中图分类号
F [经济];
学科分类号
02 ;
摘要
The development of emerging technologies, including artificial intelligence, has a significant effect on the automation of business processes related to the automotive industry, directly impacting employees' skills and work tasks. The objectives of the study are: to identify the state of current research in the field of economics on the use of technologies based on artificial intelligence and the effects on employees' competencies, to reveal the main themes addressed in the literature corresponding to the topic under investigation and to highlight a practical solution to assess employees' required competencies in the automotive industry. The authors used bibliometric analysis to map the literature to highlight the effects of implementing AI-based technologies on the skills needed in the automotive industry. The sample selected from the Web of Science database consists of 866 papers published between 2018 and 2024 in the field of economics. The research results are obtained by analysing the intellectual and conceptual structure of the scientific production on the chosen topic and highlighting a practical solution related to the strategy of implementing artificial intelligence in an automotive industry company correlated with tasks design. This can be used to assess employees' skills in the context of automating production processes, which gives it originality through an innovative, practice- oriented research approach and relevance to business decision-makers.
引用
收藏
页码:801 / 816
页数:16
相关论文
共 50 条
  • [41] Artificial intelligence and hospitality industry: systematic review using TCCM and bibliometric analysis
    Sharma, Kamakshi
    Dhir, Sanjay
    Ongsakul, Viput
    [J]. JOURNAL FOR INTERNATIONAL BUSINESS AND ENTREPRENEURSHIP DEVELOPMENT, 2022, 14 (01) : 48 - 71
  • [42] Artificial intelligence based on falling in older people: A bibliometric analysis
    Yenisehir, Semiha
    [J]. AGING MEDICINE, 2024, 7 (02) : 162 - 170
  • [43] Application of Artificial Intelligence in Chinese Education based on Bibliometric Analysis
    Yang, Zaifeng
    Pan, Yanting
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (03) : 303 - 312
  • [44] ARTIFICIAL INTELLIGENCE AND COMPETENCY-BASED EDUCATION: A BIBLIOMETRIC ANALYSIS
    Radu, Catalina
    Ciocoiu, Carmen Nadia
    Veith, Cristina
    Dobrea, Razvan Catalin
    [J]. AMFITEATRU ECONOMIC, 2024, 26 (65) : 220 - 240
  • [45] A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research
    Xieling Chen
    Xinxin Zhang
    Haoran Xie
    Xiaohui Tao
    Fu Lee Wang
    Nengfu Xie
    Tianyong Hao
    [J]. Multimedia Tools and Applications, 2021, 80 : 17335 - 17363
  • [46] Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
    Othman, Suhaili
    Mavani, Nidhi Rajesh
    Hussain, M. A.
    Abd Rahman, Norliza
    Ali, Jarinah Mohd
    [J]. JOURNAL OF AGRICULTURE AND FOOD RESEARCH, 2023, 12
  • [47] A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research
    Chen, Xieling
    Zhang, Xinxin
    Xie, Haoran
    Tao, Xiaohui
    Wang, Fu Lee
    Xie, Nengfu
    Hao, Tianyong
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (11) : 17335 - 17363
  • [48] A Data Envelopment Analysis on the Performance of Using Artificial Intelligence-Based Environmental Management Systems in the Convention and Exhibition Industry
    Chang, Wan-Yu
    [J]. EKOLOJI, 2019, 28 (107): : 3515 - 3521
  • [49] Implementation challenges of artificial intelligence-based radiomics in head and neck oncology: A systematic review
    Alabi, Rasheed Omobolaji
    Almangush, Alhadi
    Elmusrati, Mohammed
    Leivo, Ilmo
    Makitie, Antti A.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2024, 192 : S207 - S209
  • [50] AID4TRAIN: Artificial Intelligence-Based Diagnostics for TRAins and INdustry 4.0
    Cinque, Marcello
    Della Corte, Raffaele
    Farina, Giorgio
    Rosiello, Stefano
    [J]. DEPENDABLE COMPUTING, EDCC 2022 WORKSHOPS, 2022, 1656 : 89 - 101