IDEAS home Printed from https://ideas.repec.org/a/aif/journl/v8y2022i1p42-57.html
   My bibliography  Save this article

An Empirical Study of Enterprise Development Strategy on Business Performance in China

Author

Listed:
  • WU QIYIN

    (Asia Metropolitan University, Malaysia.)

Abstract

Based on the existing research at home and abroad, the research on the development strategy of auto parts enterprises is still less, and the research has not reached the mature stage. Therefore, taking the parts enterprises in Jiangsu Province as the research object, this paper studies the development strategy of auto parts enterprises from both theoretical and empirical aspects. The research samples are mainly represented by the auto parts enterprises in Jiangsu Province, which focuses on foreign parts companies in China. The selected research content is in addition to the questionnaire, for short-term and long-term strategy and planning, relevant research needs to be based on a long-time span. At the same time, the upgrading of the business model of the vehicle industry has also promoted the innovation of the traditional business model of the auto parts industry. In order to adapt to the current environment of economic globalization, auto parts enterprises in Jiangsu province need to constantly reform and innovate and optimize the development strategic model to improve their competitiveness, so as to better cope with the fierce external changes and seek future development. According to the conclusions, suggestions are put forward, including: at the enterprise level, we should improve the ability of technological innovation and improve the layout of enterprise resources; At the industry level, we should adapt to the pressure of market competition and strengthen the relationship with stakeholders; At the policy level, the government should create a good policy environment for auto parts manufacturing enterprises through financing channels and conditions, service contents of relevant functional departments and industry access policies.

Suggested Citation

  • Wu Qiyin, 2022. "An Empirical Study of Enterprise Development Strategy on Business Performance in China," International Journal of Science and Business, IJSAB International, vol. 8(1), pages 42-57.
  • Handle: RePEc:aif:journl:v:8:y:2022:i:1:p:42-57
    as

    Download full text from publisher

    File URL: https://ijsab.com/wp-content/uploads/884.pdf
    Download Restriction: no

    File URL: https://ijsab.com/volume-8-issue-1/4674
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ndubisi, Nelson Oly & Zhai, Xin (Amy) & Lai, Kee-hung, 2021. "Small and medium manufacturing enterprises and Asia's sustainable economic development," International Journal of Production Economics, Elsevier, vol. 233(C).
    2. Xu, Bing & Chen, Xiaohui & Wang, Yanyan, 2020. "A new dynamic classification of enterprises for implementing precise industrial policies," Journal of Business Research, Elsevier, vol. 118(C), pages 463-473.
    3. Luo, Xingwu & Cao, Dongmei & Tjahjono, Benny & Adegbile, Abiodun, 2022. "Business model innovation themes of emerging market enterprises: Evidence in China," Journal of Business Research, Elsevier, vol. 139(C), pages 1619-1630.
    4. Cooke, Fang Lee & Wu, Gang & Zhou, Jing & Zhong, Chong & Wang, Jue, 2018. "Acquiring global footprints: Internationalization strategy of Chinese multinational enterprises and human resource implications," Journal of Business Research, Elsevier, vol. 93(C), pages 184-201.
    5. Dang, Linjing & Zhao, Jingfeng, 2020. "Cultural risk and management strategy for Chinese enterprises' overseas investment," China Economic Review, Elsevier, vol. 61(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lai, Kee-hung & Feng, Yunting & Zhu, Qinghua, 2023. "Digital transformation for green supply chain innovation in manufacturing operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Liu, Yipeng & Meyer, Klaus E., 2020. "Boundary spanners, HRM practices, and reverse knowledge transfer: The case of Chinese cross-border acquisitions," Journal of World Business, Elsevier, vol. 55(2).
    3. Asif Mahmood & Rana Tahir Naveed & Naveed Ahmad & Miklas Scholz & Muhammad Khalique & Mohammad Adnan, 2021. "Unleashing the Barriers to CSR Implementation in the SME Sector of a Developing Economy: A Thematic Analysis Approach," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    4. Huang, Liangxiong & Ma, Minghui & Wang, Xianbin, 2022. "Clan culture and risk-taking of Chinese enterprises," China Economic Review, Elsevier, vol. 72(C).
    5. Kleber F. Barcia & Lizzi Garcia-Castro & Jorge Abad-Moran, 2022. "Lean Six Sigma Impact Analysis on Sustainability Using Partial Least Squares Structural Equation Modeling (PLS-SEM): A Literature Review," Sustainability, MDPI, vol. 14(5), pages 1-26, March.
    6. Zhang, Shangfeng & Liu, Yaoxin & Huang, Duen-Huang, 2021. "Understanding the mystery of continued rapid economic growth," Journal of Business Research, Elsevier, vol. 124(C), pages 529-537.
    7. Clea Beatriz Macagnan & Rosane Maria Seibert, 2021. "Sustainability Indicators: Information Asymmetry Mitigators between Cooperative Organizations and Their Primary Stakeholders," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    8. Woo, Donghyup & Suresh, Nallan C., 2022. "Voluntary agreements for sustainability, resource efficiency & firm performance under the supply chain cooperation policy in South Korea," International Journal of Production Economics, Elsevier, vol. 252(C).
    9. Zhu, Peiyu & Miao, Xiaoming & Jin, Shumo & Moehler, Robert, 2023. "Transactive memory system, boundary-spanning search and business model innovation: the moderating role of environmental dynamism," Technovation, Elsevier, vol. 128(C).
    10. Wang, Qingtao & Bai, Xuan & Li, Julie Juan, 2023. "Achieving value co-creation through cooperation in international joint ventures: A two-level perspective," International Business Review, Elsevier, vol. 32(1).
    11. Yang, Li & Zou, Haobo & Shang, Chao & Ye, Xiaoming & Rani, Pratibha, 2023. "Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    12. Haftor, Darek. M. & Climent Costa, Ricardo, 2023. "Five dimensions of business model innovation: A multi-case exploration of industrial incumbent firm’s business model transformations," Journal of Business Research, Elsevier, vol. 154(C).
    13. Liu, Yang & Deng, Ping & Wei, Jiang & Ying, Ying & Wu, Bing, 2021. "How to gain from international R&D alliances? A mutual dependence logic," Journal of Business Research, Elsevier, vol. 135(C), pages 800-815.
    14. Hengbin Yin & Muhammad Mohsin & Luyao Zhang & Chong Qian & Yan Cai, 2022. "Accessing the Impact of FDI Goals on Risk Management Strategy and Management Performance in the Digital Era: A Case Study of SMEs in China," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    15. Dong, Ciwei & Chen, Chenyi & Shi, Xiutian & Ng, Chi To, 2021. "Operations strategy for supply chain finance with asset-backed securitization: Centralization and blockchain adoption," International Journal of Production Economics, Elsevier, vol. 241(C).
    16. Vecchi, Alessandra & Brennan, Louis, 2022. "Two tales of internationalization – Chinese internet firms' expansion into the European market," Journal of Business Research, Elsevier, vol. 152(C), pages 106-127.
    17. Dhir, Sanjay & Ongsakul, Viput & Ahmed, Zafar U. & Rajan, Rishabh, 2020. "Integration of knowledge and enhancing competitiveness: A case of acquisition of Zain by Bharti Airtel," Journal of Business Research, Elsevier, vol. 119(C), pages 674-684.
    18. Fei, Ding, 2020. "Variegated work regimes of Chinese investment in Ethiopia," World Development, Elsevier, vol. 135(C).
    19. Shamim, Saqib & Zeng, Jing & Shafi Choksy, Umair & Shariq, Syed Muhammad, 2020. "Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level," International Business Review, Elsevier, vol. 29(6).
    20. Zhang, Yameng & Zhan, Wu & Xu, Yekun & Kumar, Vikas, 2020. "International friendship cities, regional government leaders, and outward foreign direct investment from China," Journal of Business Research, Elsevier, vol. 108(C), pages 105-118.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aif:journl:v:8:y:2022:i:1:p:42-57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Farjana Rahman (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.