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Business type, industry value chain, and R&D performance: Evidence from high-tech firms in an emerging market

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  • Wang, Hsiao-Wen
  • Wu, Ming-Cheng

Abstract

This study focuses on how the business type and technological learning mode, which a high-tech firm chooses based on its core competence, influence the firm's R&D strategies, which in turn affect firm performance. This study also explores how the interaction between a firm's business type and industry value chain stage affects the relationship between R&D investments and operating performance. We suggest that the linkage of R&D investments and operating performance will increase gradually, when firms move from contract manufacturing to own brand business. R&D investments can contribute more to performance when firms adopt the hybrid business type. Furthermore, R&D investments generate more significant benefits for the own brand companies than the contract manufacturers at the same stage of the industry value chain. R&D investments of the downstream contract manufacturers have a negative impact on firm performance. Regardless of business type, firms in the upstream (midstream) stage of the industry value chain outperform downstream stage firms in deriving benefits from R&D activities. Finally, the lagged effects of R&D investments on operating performance are affected by the interaction between business type and industry value chain.

Suggested Citation

  • Wang, Hsiao-Wen & Wu, Ming-Cheng, 2012. "Business type, industry value chain, and R&D performance: Evidence from high-tech firms in an emerging market," Technological Forecasting and Social Change, Elsevier, vol. 79(2), pages 326-340.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:2:p:326-340
    DOI: 10.1016/j.techfore.2011.05.008
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    Citations

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    Cited by:

    1. Tzu‐Lin Chang & Hsiao‐Wen Wang & Keng‐Pei Lin & Hsin‐Yu Chen, 2022. "R&D performance and international diversification: Evidence from an emerging market," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3176-3197, October.
    2. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    3. Dinesh Jaisinghani, 2016. "Group affiliation, R%D and firm performance: empirical evidence from Indian manufacturing sector," International Journal of Business and Emerging Markets, Inderscience Enterprises Ltd, vol. 8(1), pages 30-48.
    4. Barros, Victor & Verga Matos, Pedro & Miranda Sarmento, Joaquim & Rino Vieira, Pedro, 2023. "High-tech firms: Dividend policy in a context of sustainability and technological change," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    5. Zhou, Qingna & Gao, Ping & Chimhowu, Admos, 2019. "ICTs in the transformation of rural enterprises in China: A multi-layer perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 12-23.
    6. Yang, Kuo-Pin & Chou, Christine & Chiu, Yu-Jen, 2014. "How unlearning affects radical innovation: The dynamics of social capital and slack resources," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 152-163.
    7. Suh, Yongyoon & Kim, Moon-Soo, 2014. "Internationally leading SMEs vs. internationalized SMEs: Evidence of success factors from South Korea," International Business Review, Elsevier, vol. 23(1), pages 115-129.
    8. Zhipeng Zang & Qiwei Zhu & Helena Mogorrón-Guerrero, 2019. "How Does R&D Investment Affect the Financial Performance of Cultural and Creative Enterprises? The Moderating Effect of Actual Controller," Sustainability, MDPI, vol. 11(2), pages 1-19, January.

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