Exploring the impact mechanism of collaborative robot on manufacturing firm performance: A dynamic capability perspective

被引:1
作者
Liu, Dong [1 ]
Son, Sangbum [2 ]
机构
[1] Shandong Womens Univ, Sch Business Adm, Jinan, Peoples R China
[2] Yeungnam Univ, Dept Global Business, Gyongsan, South Korea
关键词
Collaborative robot; Firm performance; Dynamic capability; Sensing capability; Seizing capability; Transforming capability; RESOURCE-BASED VIEW; DIGITAL TRANSFORMATION; INNOVATION; ANALYTICS; KNOWLEDGE; STRATEGY; MODEL;
D O I
10.1016/j.sftr.2024.100262
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study, rooted in dynamic capability theory, explores the impact of Collaborative robot (cobots) adoption on manufacturing firm performance. Cobots positively influence sensing, seizing, and transforming capabilities, leading to enhanced market, operational, and human resources performance. Sensing and transforming capabilities mediate the relationship between cobots adoption and operational performance, while seizing capability mediates with market and human resources performance. These findings offer crucial theoretical insights for strategic management in manufacturing enterprises navigating cobots adoption amid global competition and workforce challenges, ensuring a nuanced understanding of the dynamics at play.
引用
收藏
页数:15
相关论文
共 111 条
  • [1] The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective
    Abou-Foul, Mohamad
    Ruiz-Alba, Jose L.
    Lopez-Tenorio, Pablo J.
    [J]. JOURNAL OF BUSINESS RESEARCH, 2023, 157
  • [2] Acosta-Prado J.C., 2022, Vine J. Inf. Knowl. Manag. Syst.
  • [3] Improving Our Understanding of Moderation and Mediation in Strategic Management Research
    Aguinis, Herman
    Edwards, Jeffrey R.
    Bradley, Kyle J.
    [J]. ORGANIZATIONAL RESEARCH METHODS, 2017, 20 (04) : 665 - 685
  • [4] A Mixed-Perception Approach for Safe Human-Robot Collaboration in Industrial Automation
    Amin, Fatemeh Mohammadi
    Rezayati, Maryam
    van de Venn, Hans Wernher
    Karimpour, Hossein
    [J]. SENSORS, 2020, 20 (21) : 1 - 20
  • [5] [Anonymous], 2023, INSIGHTANDINFO
  • [6] [Anonymous], 2023, AskCI
  • [7] [Anonymous], 2023, GGII
  • [8] Dynamic supply chain capabilities: How market sensing, supply chain agility and adaptability affect supply chain ambidexterity
    Aslam, Haris
    Blome, Constantin
    Roscoe, Samuel
    Azhar, Tashfeen M.
    [J]. INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2018, 38 (12) : 2266 - 2285
  • [9] New trends in population aging and challenges for China's sustainable development
    Bai, Chen
    Lei, Xiaoyan
    [J]. CHINA ECONOMIC JOURNAL, 2020, 13 (01) : 3 - 23
  • [10] Big data adoption: State of the art and research challenges
    Baig, Maria Ijaz
    Shuib, Liyana
    Yadegaridehkordi, Elaheh
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (06)