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Analysing firm performance in Chinese IT industry: DEA Malmquist productivity measure

Author

Listed:
  • Xiaohong Chen
  • Xiaoding Wang
  • Desheng Dash Wu
  • Zejing Zhang

Abstract

Chinese IT industry has become more important and maturity after development for tens of years and come up quickly in global IT market. They may have huge influence on Chinese IT market or even the world. This paper is concerned with the study on exploring the performance of Chinese IT industry, including the managerial, technical and scale efficiencies and their changes over time. We employ data envelopment analysis (DEA)-based Malmquist method to measure the performance of listed IT firms in China, in the period of 2005 to 2007 and reveal the detailed technology and efficiency changes over time by analysing decomposed components of Malmquist index. Furthermore, the technical diffusion of Chinese IT industry is tested by efficiency convergence analysis. Accordingly, the IT companies can make decisions on the functions and strategies shifts that are beneficial to the performance improvement and achieving competitive advantages.

Suggested Citation

  • Xiaohong Chen & Xiaoding Wang & Desheng Dash Wu & Zejing Zhang, 2011. "Analysing firm performance in Chinese IT industry: DEA Malmquist productivity measure," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 10(1), pages 3-23.
    • Handle: RePEc:ids:ijitma:v:10:y:2011:i:1:p:3-23
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    Citations

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    Cited by:

    1. Sungmin Park, 2015. "The R&D logic model: Does it really work? An empirical verification using successive binary logistic regression models," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1399-1439, December.
    2. Apostolos Christopoulos & Ioannis Dokas & Sofia Katsimardou & Eleftherios Spyromitros, 2022. "The Malmquist Productivity measure for UK-listed firms in the aftermath of the global financial crisis," Operational Research, Springer, vol. 22(2), pages 1617-1634, April.
    3. Mohammad Kamal Hossain & Md Abdus Salam & Afsana Nahid, 2022. "Measuring the technical efficiency of the listed IT companies: Evidence from Bangladesh," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 74-85, September.
    4. Hsiao-Yin Chen & Chin-wei Huang & Yung-Ho Chiu, 2017. "An intertemporal efficiency and technology measurement for tourist hotel," Journal of Productivity Analysis, Springer, vol. 48(1), pages 85-96, August.
    5. Thi Ngan Pham & Phung Phi Tran & Minh-Hieu Le & Hoang Nhi Vo & Cong Dat Pham & Hai-Dang Nguyen, 2022. "The Effects of ESG Combined Score on Business Performance of Enterprises in the Transportation Industry," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    6. Abd Hadi Mustaffa & Nur Zahidah Bahrudin & Zahariah Sahudin & Hasni Abdullah & Muhammad Ridzuan Abdul Aziz, 2023. "What have we Learned from Firm Efficiency Research for the Past 35 Years? A Bibliometric Analysis," Information Management and Business Review, AMH International, vol. 15(1), pages 216-227.

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