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Sustainable growth research – A study on the telecom operators in China

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  • Hong Chen
  • Ling Li
  • Yong Chen

Abstract

In recent years, the telecom industry has faced digital transformation challenges and fierce market competition. The challenges push telecom operators to grow their subscriber bases by offering lower prices and improved services and new features, which puts pressure on operators’ profitability. In addition, the rise of Internet companies gradually erodes the profit of the traditional telecom operators. Therefore, paying attention to the critical factors impacting firm sustainable growth can help operators get out of the predicament. Based on the resource-based view (RBV), this study explores the factors that influence the firm sustainable growth. Multiple regression model is applied to empirically test the hypotheses with longitudinal time-series panel data from major telecom operators in China. The study provides empirical evidence for sustainable growth research and useful insights for practitioners on the way to keep sustainable growth.

Suggested Citation

  • Hong Chen & Ling Li & Yong Chen, 2022. "Sustainable growth research – A study on the telecom operators in China," Journal of Management Analytics, Taylor & Francis Journals, vol. 9(1), pages 17-31, January.
    • Handle: RePEc:taf:tjmaxx:v:9:y:2022:i:1:p:17-31
    DOI: 10.1080/23270012.2021.1980445
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    Cited by:

    1. Xueling Li & Yujie Long & Meixi Fan & Yong Chen, 2022. "Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 379-396, May.
    2. Shuo Tian & Hangeng Zhao & Xiaobo Xu & Rongchao Mu & Qiang Ma, 2022. "Knowledge chain integration of design structure matrix‐based project team: An integration model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 462-473, May.
    3. Yu Sun & Xiaobo Xu & Haiqing Yu & Hecheng Wang, 2022. "Impact of value co‐creation in the artificial intelligence innovation ecosystem on competitive advantage and innovation intelligibility," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 474-488, May.
    4. Borong Zou & Hong Wang & Hui Li & Ling Li & Yuhan Zhao, 2022. "Predicting stock index movement using twin support vector machine as an integral part of enterprise system," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 428-439, May.

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