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Abstract

Companies in the technology sector cannot be separated from this. Technology companies face complex dynamics, including short product life cycles, high investment requirements, and intense competition. Therefore, innovation is significant for a company's survival amidst competitive competition. Companies that constantly innovate their products can better survive competitive pressures and improve their market position. Technology companies often have to allocate large budgets for research and development, which can increase Leverage and reduce liquidity. The company could face significant financial stress if these investments do not generate sufficient income. This research aims to analyze the effect of Leverage and liquidity on Financial Distress with profitability as a moderating variable. The research results show that Leverage and liquidity partially influence Financial Distress, and profitability can strengthen the influence of each independent variable (Leverage and liquidity) on Financial Distress. Profitability is a moderating variable, which is a quasi-moderator variable. In the case of the profitability variable as a Quasi Moderator, profitability can be used as an independent variable that can stand alone and influence Financial Distress.

Keywords

Leverage, Liquidity, Profitability and Financial Distress.

Article Details

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Ainiyah, N., & Ilmiddaviq, M. B. (2025). Pengaruh Leverage Dan Likuiditas Terhadap Financial Distress Dengan Pemoderasi Profitabilitas. Economics and Digital Business Review, 6(1), 758–772. Retrieved from https://ojs.stieamkop.ac.id/index.php/ecotal/article/view/2049
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References

  1. Akhtar, N., Alharthi, M., & Khan, M. S. (2024). Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators. Mathematics, 12(19), 3027. https://doi.org/10.3390/math12193027
  2. Altman, E. I., & Hotchkiss, E. (2010). Corporate financial distress and bankruptcy : predict and avoid bankruptcy, analyze and invest in distressed debt (3rd ed NV). Hoboken, N.J.: John Wiley & Sons. https://doi.org/LK - https://worldcat.org/title/64560104
  3. Athila Namira Awandini, Pramono, H., Fakhruddin, I., & Inayati, N. I. (2023). Factors Affecting the Financial Distress Conditions of Property and Real Estate Companies During the Covid-19 Pandemic Period 2019 – 2021. Indonesian Journal of Business Analytics, 3(1), 1–18. https://doi.org/10.55927/ijba.v3i1.2309
  4. Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
  5. Brigham, E. F., & Houston, J. F. (2021). Fundamentals of Financial Management. Cengage Learning. Retrieved from https://books.google.co.id/books?id=9uUXEAAAQBAJ
  6. Brynjolfsson, E., & McAfee, A. (2016). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
  7. Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand Oaks, CA: SAGE Publications. Retrieved from https://books.google.co.id/books?id=4uB76IC_pOQC
  8. Erzurumlu, S. S., & Smith, N. D. (2022). Managing Technological Innovation Capabilities to Align Exploration and Exploitation with Technological Changes. International Journal of Innovation and Technology Management, 20(03). https://doi.org/10.1142/s0219877023500128
  9. Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics 5th Edition (Vol. 5). London: SAGE Publications, Inc. https://doi.org/10.1348/000709906x100611
  10. Ghozali, I. (2018). Aplikasi analisis multivariete SPSS 25. Semarang: Universitas Diponegoro.
  11. Giarto, R. V. D., & Fachrurrozie, F. (2020). The Effect of Leverage, Sales Growth, Cash Flow on Financial Distress with Corporate Governance as a Moderating Variable. Accounting Analysis Journal, 9(1), 15–21. https://doi.org/10.15294/aaj.v9i1.31022
  12. Gomber, P., Kauffman, R., Parker, C., & Weber, B. (2018). On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services. Journal of Management Information Systems, 35, 220–265. https://doi.org/10.1080/07421222.2018.1440766
  13. Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics. McGraw-Hill Irwin. Retrieved from https://books.google.co.id/books?id=6l1CPgAACAAJ
  14. Kalina, J. (2013). Autocorrelated Residuals of Robust Regression, (1), 551–560.
  15. Kasmir. (2018). Analisis Laporan Keuangan. PT RajaGrafindo Persada.
  16. Kieso, D. E., Weygandt, J. J., Warfield, T. D., Wiecek, I. M., & McConomy, B. J. (2019). Intermediate Accounting, Volume 2. Wiley. Retrieved from https://books.google.co.id/books?id=e07iDwAAQBAJ
  17. Kwok, C., & Bangun, N. (2023). Pengaruh Sales Growth, Operating Capacity, Dan Leverage Terhadap Financial Distress. Jurnal Paradigma Akuntansi, 5(3), 1324–1335. https://doi.org/10.24912/jpa.v5i3.25247
  18. Masita, A., & Purwohandoko, P. (2020). Analisis Pengaruh Rasio Keuangan, Kepemilikan Manajerial, dan Kepemilikan Institusional terhadap Financial Distress pada Perusahaan Sektor Perdagangan, Jasa, dan Investasi yang Terdaftar di BEI Tahun 2015-2018. Jurnal Ilmu Manajemen, 8(3), 894. https://doi.org/10.26740/jim.v8n3.p894-908
  19. Mega Rizqiyani, S., Qodriyani, M., & Ashsifa, I. (2024). Survival of ASEAN Firms: Understanding Profitability, Liquidity, and Solvency Dynamics During Financial Distress. KnE Social Sciences, 2024(1), 373–383. https://doi.org/10.18502/kss.v9i17.16372
  20. Myers, S. C. (1977). Determinants of corporate borrowing. Journal of Financial Economics, 5(2), 147–175. https://doi.org/https://doi.org/10.1016/0304-405X(77)90015-0
  21. Ross, S. A., Westerfield, R., Jaffe, J. F., & Jordan, B. D. (2019). Corporate Finance. McGraw-Hill Education series in finance, insurance, and real estate. McGraw-Hill Education. Retrieved from https://books.google.co.id/books?id=LAi_uAEACAAJ
  22. Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-building Approach. New York: Wiley. Retrieved from https://books.google.co.id/books?id=u73GjwEACAAJ
  23. Solimun, Fernandes, A. A. R., & Nurjannah. (2017). Metode Statistika Multivariat Pemodelan Persamaan Struktural (SEM) Pendekatan WarpPLS. Malang: Universitas Brawijaya Press. Retrieved from https://books.google.co.id/books?id=GrRVDwAAQBAJ
  24. Sugiyono. (2018). Metode Peneiltian Kuantitatif, Kualitatif dan R&D. Alfabeta Bandung.
  25. Utami, Y. Z., & Taqwa, S. (2023). Pengaruh Leverage, Ukuran Perusahaan, Pertumbuhan Penjualan, Kepemilikan Manajerial dan Kepemilikan Institusional terhadap Financial Distress. Jurnal Eksplorasi Akuntansi, 5(2), 539–552. https://doi.org/10.24036/jea.v5i2.720
  26. Wahyudi, I., Mahroji, & Hanifah. (2023). Effect of Liquidity, Leverage, Company Size, Audit Committee on Financial Distress. Journal Intelektual, 2(2), 126–135. https://doi.org/10.61635/jin.v2i2.147
  27. Zhang, R. (2022). The Impact of Technological Innovation Based on Dynamic Capability on the Profitability of G Company. Proceedings of the 7th International Conference on Economy, Management, Law and Education (EMLE 2021), 649(Emle 2021), 131–137. https://doi.org/10.2991/aebmr.k.220306.021
  28. Zhou, L. L., Ayegba, J. O., James, P. M., Ayegba, E. O., jie Zhang, X., & Kachie, A. D. T. (2020). Nexus between Product Innovation and Enterprise Survival: Impact of Competitive Intensity and Competitive Advantage. Preprints. https://doi.org/10.20944/PREPRINTS202005.0497.V1
  29. Zmijewski, M. E. (1984). Methodological Issues Related to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research, 22, 59–82. https://doi.org/10.2307/2490859