IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v11y2023i8p144-d1211398.html
   My bibliography  Save this article

The Relationship between Innovation and Risk Taking: The Role of Firm Performance

Author

Listed:
  • Yuni Pristiwati Noer Widianingsih

    (Accounting Department, STIE Swasta Mandiri Surakarta, Surakarta 57156, Indonesia
    Faculty of Economics and Business, Universitas Sebelas Maret, Surakarta 57126, Indonesia)

  • Doddy Setiawan

    (Faculty of Economics and Business, Universitas Sebelas Maret, Surakarta 57126, Indonesia)

  • Y. Anni Aryani

    (Faculty of Economics and Business, Universitas Sebelas Maret, Surakarta 57126, Indonesia)

  • Evi Gantyowati

    (Faculty of Economics and Business, Universitas Sebelas Maret, Surakarta 57126, Indonesia)

Abstract

One perspective suggests that firms heavily involved in innovation may face increased risks. It is essential to know the suitable proxies in measuring innovation related to risk taking. Many studies use research-and-development intensity (RDI) and research-and-development spending (RDS) as proxies for innovation related to risk taking. However, little evidence shows that positive association with risk taking. This study addresses this gap by using RDI and RDS as metrics for measuring innovation and assessing innovation-related risks. This study incorporated performance as a potential factor affecting the interaction between these variables. It is essential to consider the risks associated with innovation and allocate the RDI and RDS effectively to maximize revenue. We used a dataset of 3955 firm-year observations obtained from 548 listed firms in the Indonesian stock exchange for 2012–2021. We found that RDI and RDS positively affect risk taking. The test results show that the interaction between innovation and firm performance negatively affects risk taking. Thus, firm performance may mitigate the risks associated with innovation. Therefore, firms must balance their innovation projects with improved performance to minimize risks and achieve long-term success.

Suggested Citation

  • Yuni Pristiwati Noer Widianingsih & Doddy Setiawan & Y. Anni Aryani & Evi Gantyowati, 2023. "The Relationship between Innovation and Risk Taking: The Role of Firm Performance," Risks, MDPI, vol. 11(8), pages 1-13, August.
  • Handle: RePEc:gam:jrisks:v:11:y:2023:i:8:p:144-:d:1211398
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/11/8/144/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/11/8/144/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mariana Mazzucato & Massimiliano Tancioni, 2008. "Innovation and idiosyncratic risk: an industry- and firm-level analysis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(4), pages 779-811, August.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 1-20, February.
    4. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 1-20.
    5. Alam, Ashraful & Uddin, Moshfique & Yazdifar, Hassan & Shafique, Sujana & Lartey, Theophilus, 2020. "R&D investment, firm performance and moderating role of system and safeguard: Evidence from emerging markets," Journal of Business Research, Elsevier, vol. 106(C), pages 94-105.
    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. Stephen Bahadar & Muhammad Nadeem & Rashid Zaman, 2023. "Toxic chemical releases and idiosyncratic return volatility: A prospect theory perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2109-2143, June.
    2. Tsung-Yu Hsieh & Huai-I Lee & Ying-Ru Tsai, 2018. "Idiosyncratic Risk, Stock Returns and Investor Sentiment," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 8(7), pages 914-924, July.
    3. Chue, Timothy K. & Gul, Ferdinand A. & Mian, G. Mujtaba, 2019. "Aggregate investor sentiment and stock return synchronicity," Journal of Banking & Finance, Elsevier, vol. 108(C).
    4. Sudip Datta & Mai Iskandar‐Datta & Vivek Singh, 2014. "Opaque financial reports and R2: Revisited," Review of Financial Economics, John Wiley & Sons, vol. 23(1), pages 10-17, January.
    5. Jubinski, Daniel & Tomljanovich, Marc, 2013. "Do FOMC minutes matter to markets? An intraday analysis of FOMC minutes releases on individual equity volatility and returns," Review of Financial Economics, Elsevier, vol. 22(3), pages 86-97.
    6. Liu, Xiangqiang & Yang, Qingqing & Wei, Kai & Dai, Peng-Fei, 2024. "ESG rating disagreement and idiosyncratic return volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PB).
    7. Ahmad Ibrahim Karajeh & Mohd Yussoff B. Ibrahim, 2017. "Impact of Audit Committee on the Association Between Financial Reporting Quality and Shareholder Value," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 14-19.
    8. Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E., 2015. "Accounting quality, information risk and implied volatility around earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 188-207.
    9. Christensen, Theodore E. & D'Adduzio, Jenna & Nelson, Karen K., 2023. "Explaining accruals quality over time," Journal of Accounting and Economics, Elsevier, vol. 76(1).
    10. Kryzanowski, Lawrence & Mohsni, Sana, 2015. "Earnings forecasts and idiosyncratic volatilities," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 107-123.
    11. Atawnah, Nader & Zaman, Rashid & Liu, Jia & Atawna, Thaer & Maghyereh, Aktham, 2023. "Does foreign competition affect corporate debt maturity structure? Evidence from import penetration," International Review of Financial Analysis, Elsevier, vol. 86(C).
    12. Min, Byoung-Kyu & Qiu, Buhui & Roh, Tai-Yong, 2022. "What drives the dispersion anomaly?," Journal of Banking & Finance, Elsevier, vol. 138(C).
    13. Diogo Silva & António Cerqueira, 2021. "Financial Reporting Quality and Investors' Divergence of Opinion†," Accounting Perspectives, John Wiley & Sons, vol. 20(1), pages 79-107, March.
    14. Sandip Dhole & Ferdinand A. Gul & Sagarika Mishra & Ananda M. Pal, 2021. "The joint information role of analysts’ cash flow and earnings forecasts," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 499-541, March.
    15. Bravo, Francisco, 2016. "Forward-looking disclosure and corporate reputation as mechanisms to reduce stock return volatility," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 122-131.
    16. Liu, Qi & Sun, Bo, 2018. "Managerial manipulation, corporate governance, and limited market participation," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 98-117.
    17. Shen-Ho Chang end Fu-Cheng Chang, 2020. "Impact of Labor and Capital Investment on Investor Idiosyncratic Risk," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 10(3), pages 1-5.
    18. Liu, Haiming & Chiang, Yao-Min, 2022. "Confucianism and IPO underpricing," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    19. Shahzad, Farrukh & Fareed, Zeeshan & Wang, Zhenkun & Shah, Syed Ghulam Meran, 2020. "Do idiosyncratic risk, market risk, and total risk matter during different firm life cycle stages?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    20. ElBannan, Mona A., 2021. "On the prediction of financial distress in emerging markets: What matters more? Empirical evidence from Arab spring countries," Emerging Markets Review, Elsevier, vol. 47(C).

    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:gam:jrisks:v:11:y:2023:i:8:p:144-:d:1211398. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.