Open Access
Issue
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
Article Number 02060
Number of page(s) 9
Section Behavioral Economics and Decision-Making
DOI https://doi.org/10.1051/shsconf/20219202060
Published online 13 January 2021
  1. Khanh, M. T. H, Thu, P. A. (2019). The effect of financial leverage on real and accrual-based earnings management in Vietnamese firms. Economics and Sociology, 12(4), 299-312. [CrossRef] [Google Scholar]
  2. Durana, P., Valaskova, K., Chlebikova, D., Krastev, V., Atanasova, I. (2020). Heads and Tails of Earnings Management: Quantitative Analysis in Emerging Countries. Risks, 8(2), 57. [CrossRef] [Google Scholar]
  3. Onuferova, E., Cabinova, V., Dzurov Vargova, T. (2020). Analysis of modern methods for increasing and managing the financial prosperity of businesses in the context of performance: a case study of the tourism sector in Slovakia. Oeconomia Copernicana, 11(1), 95-116. [CrossRef] [Google Scholar]
  4. Siekelova, A., Podhorska, I. (2020). Earnings Indicators under the Condition of Globalization. SHS Web of Conferences, 74, 01031. [CrossRef] [EDP Sciences] [Google Scholar]
  5. Khuong, N. V., Liem, N. T., Minh, M. T. H. (2020). Earnings management and cash holdings: Evidence from energy firms in Vietnam. Journal of International Studies, 13(1), 247-261. [CrossRef] [Google Scholar]
  6. Svabova, L., Kramarova, K., Chutka, J., Strakova, L. (2020). Detecting earnings manipulation and fraudulent financial reporting in Slovakia. Oeconomia Copernicana, 11(3), 485-508. [CrossRef] [Google Scholar]
  7. Kramarova, K., Valaskova, K. (2020). Application of Chosen Fraudulent Detection Technique in the Slovak Business Environment. In SHS Web of Conferences, 74, 01019. [CrossRef] [EDP Sciences] [Google Scholar]
  8. Chen, M. CH., Sheng, CH. W. (2013). Workplace Spirituality and Earnings Management Motivations. International Journal of Business and Information, 8(2), 267-298. [Google Scholar]
  9. Healy, P. (1985). The impact of bonus Schemes on the selection of accounting principles. Journal of Accounting and Economics, 7(1-3), 85-107. [CrossRef] [Google Scholar]
  10. Rahman, M., Moniruzzaman, M., Sharif, J. (2013, September 9). Techniques, Motives and Controls of Earnings Management. http://www.significance.co.uk/index.php/JASR/article/view/198/200 [Google Scholar]
  11. Kovacova, M., Kliestik, T., Valaskova, K., Durana, P., Juhaszova, Z. (2019). Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries. Oeconomia Copernicana, 10(4), 743-772. [CrossRef] [Google Scholar]
  12. Sweeney, A. P. (1994). Debt-covenant violations and managers’ accounting responses. Journal of Accounting and Economics, 17(3), 281-308. [CrossRef] [Google Scholar]
  13. Watts, R., Zimmerman, J. (1986). Positive accounting theory. Englewood Cliffs, New Jersey: Prentice Hall. [Google Scholar]
  14. Ayu, M., Gamayuni, R. R., Urbanski, M. (2020). The impact of environmental and social costs disclosure on financial performance mediating by earning management. Polish Journal of Management Studies, 21(1), 74-86. [CrossRef] [Google Scholar]
  15. Fogel-Yaari, H. Ronen, J. (2020). Earnings management strategies for meeting or beating expectations. Journal of Accounting and Public Policy, 39(1), 1-20. [CrossRef] [Google Scholar]
  16. Ozili, P. K. (2017). Earnings management in interconnected networks: a perspective. Journal of Economic and Administrative Science, 33(2), 150-163. [CrossRef] [Google Scholar]
  17. Wroblewski, D. R. (2016). The complex vision on the earnings management: the evidence from Eastern European countries. Zaragoza: Universidad de Zaragoza. [Google Scholar]
  18. Rahman, M., Moniruzzaman, M., Sharif, J. (2012, September 9). Techniques, Motives and Controls of Earnings Management. https://www.jitbm.com/11th%20Volume/rehman.pdf [Google Scholar]

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