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Digital technology adoption, digital dynamic capability, and digital transformation performance of textile industry: Moderating role of digital innovation orientation

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  • Lei Shen
  • Xi Zhang
  • Hongda Liu

Abstract

In the new manufacturing area, the Chinese textile industry is facing the opportunities and challenges under the sustainable development model and advanced manufacturing technology. It is urgent to use digital technology to realize digital transformation. In this process, digital dynamic capability and digital innovation are significant for textile firms to achieve digital transformation performance. Drawing on the data from 367 questionnaires of Chinese textile firms, we apply multiple regression to examine how a firm's digital transformation is affected by adopting digital technology. A conceptual model based on framework of resource–capability–performance is developed to examine how adoption of digital technology, digital dynamic capability, and digital innovation orientation affects a firm's digital transformation performance. The results indicate that the positive relationship between digital technology adoption and digital transformation performance is less significant; this path is fully mediated through digital dynamic capability. Digital innovation orientation has a positive moderating effect and that the efficiency digital innovation has the most significant moderating effect among all digital innovation types. In addition, compared with textile firms in the low level of digital technology adoption, the firms in the high‐level group show a significant positive relationship between digital technology adoption and digital transformation performance. These findings confirm the validity of the model and contribute to existing literature on technology efforts in firms and provide guidelines to help managers implement informed decisions about digital transformation.

Suggested Citation

  • Lei Shen & Xi Zhang & Hongda Liu, 2022. "Digital technology adoption, digital dynamic capability, and digital transformation performance of textile industry: Moderating role of digital innovation orientation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2038-2054, September.
    • Handle: RePEc:wly:mgtdec:v:43:y:2022:i:6:p:2038-2054
    DOI: 10.1002/mde.3507
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    5. Dwivedi, Yogesh K. & Balakrishnan, Janarthanan & Das, Ronnie & Dutot, Vincent, 2023. "Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation," Journal of Business Research, Elsevier, vol. 157(C).
    6. Ruan, Shuai & Wan, Guofeng & Le, Xilin & Zhang, Shanshan & Yu, Chao, 2023. "Combining the role of the banking sector and natural resource utilization on green economic development: Evidence from China," Resources Policy, Elsevier, vol. 83(C).
    7. Yuan Wu & Ziwei Li, 2024. "Digital transformation, entrepreneurship, and disruptive innovation: evidence of corporate digitalization in China from 2010 to 2021," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    8. Yu, Mengyan & Umair, Muhammad & Oskenbayev, Yessengali & Karabayeva, Zhаnsaya, 2023. "Exploring the nexus between monetary uncertainty and volatility in global crude oil: A contemporary approach of regime-switching," Resources Policy, Elsevier, vol. 85(PB).
    9. Yinqiao Li, 2023. "Role of banking sector in green economic growth: empirical evidence from South Asian economies," Economic Change and Restructuring, Springer, vol. 56(4), pages 2437-2454, August.
    10. Lijie Feng & Guo Qin & Jinfeng Wang & Ke Zhang, 2022. "Disruptive Innovation Path of Start-Ups in the Digital Context: The Perspective of Dynamic Capabilities," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    11. Cheng, Yiran & Zhou, Xiaorui & Li, Yongjian, 2023. "The effect of digital transformation on real economy enterprises’ total factor productivity," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 488-501.

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