Analyze the Determining Factors of Manager Efficiency in the Generation of Operating Cash Flow

Authors

DOI:

https://doi.org/10.22279/navus.2021.v11.p01-11.1680

Keywords:

managers efficiency, Operating Cash Flow (OCF), Stewardship, Data Envelopment Analysis (DEA).

Abstract

According to the objectives of financial reporting, particularly stewardship objective, the aim of this study is to assess the manager's efficiency of listed firms in the Tehran Stock Exchange in the generation of operating cash flow on the basis of data envelopment analysis (DEA) during the period 2013 to 2019. In this survey, for research hypotheses testing, multivariate regression was employed. The research results indicated that the level of manager efficiency in the generation of operating cash flow is very low and has a decreasing trend. Also, the evidence demonstrated that factors including profitability, CEO's financial knowledge, and percentage of shares owned by institutional shareholders have no significant correlation with the managers' efficiency. Nevertheless, company size, financial leverage, board independence, and competitiveness have a significant correlation with the managers' efficiency in the generation of operating cash flow. Meanwhile, company size has a negative correlation with managers' efficiency and a positive correlation with the remaining items.

Downloads

Download data is not yet available.

References

Benicio, J. & Soares de Mello, J. C. (2015). Productivity Analysis and Variable Returns of Scale: DEA Efficiency Frontier Interpretation, Procedia Computer Science, 55, 341–349.

Chalaki, P., Mansourfar, G., Karami, A. (2018). Review the effect of Management Ability on the Financial Distress, with an emphasis on Financial Flexibility in Tehran Stock Exchange listed companies. Journal of Financial Accounting Knowledge, 5(1), 153-180.

Chen, X., & Wang, Y. (2020). Research on financing efficiency of China's strategic emerging industries based on super efficiency DEA and tobit model, International Journal of Emerging Markets, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJOEM-02-2020-0188.

Chung, R., Firth, M., & Kim, J. B. (2005). Earnings Management, Surplus Free Cash Flow, and External Monitoring, Journal of Business Research, 58, 766–776.

Davis, J. H., Schoorman, F. D., & Donaldson, L. (1997). Towards a stewardship Theory of Management. Academy of Management Review, 22, 20-47.

Demerjian, P., Lev, B., Lewis, M. F., & McVay, S. E. (2013). Managerial ability and earnings quality. Accounting Review, 88(2), 463-498.

Grmanová, E. & Strunz,H. (2017). Efficiency of insurance companies: Application of DEA and Tobit analyses, Journal of International Studies, 10(3), 250-263.

Jabbarzadeh Kangarlouyi, S., & Radi, Y. (2019). Investigating the Impact of Managerial Capacity on Corporate Transparency, Emphasizing the Moderation of Weaknesses in Internal Controls in Companies Acquired in Tehran Stock Exchange, Financial Accounting Research, 11(39), 55-80.

Gu, H. & Yue, J., (2011). The Relationship between bank efficiency and stock returns: Evidence from Chinese listed bank, World Journal of Social Sciences, 1(4), 95-106.

Habib, A., (2010). Prediction of Operating Cash Flows: Further Evidence from Australia, Australian Accounting Review, 20(2), 134-143.

Hatami-Marbini, A., & Saati. S. (2018). Efficiency evaluation in two-stage data envelopment analysis under a fuzzy environment: A common-weights approach. Applied Soft Computing, 72, 156-165.

Li, Y., Yang, M., Chen, Y., Dai, Q., & Liang, L. (2013). Allocating a fixed cost based on data envelopment analysis and satisfaction degree. Omega, 41(1), 55– 60.

Minton, B., C. Schrand & B. Walther., (2002). The Role of Volatility in Forecasting, Review of Accounting Studies, 7(2-3), 195-215.

Sawarni, K. S., Narayanasamy, S. & Ayyalusamy, K. (2021). Working capital management, firm performance and nature of business: An empirical evidence from India. International Journal of Productivity and Performance Management, 70(1), 179-200.

Shabani, A. & Farzipoor Saen, R. (2015). Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor. Benchmarking: An International Journal, 22(4), 711-730

Seth, H., Chadha, S. & Sharma, S. (2020). Benchmarking the efficiency model for working capital management: data envelopment analysis approach. International Journal of Productivity and Performance Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPPM-10-2019-0484.

Wu, J., Chu, J., Zhu, Q., Li, Y., & Liang, Y. (2016). Determining common weights in data envelopment analysis based on the satisfaction degree. Journal of the Operational Research Society, 1–13.

Zeng, G. &d Geng, C.X. (2019), Research on financing efficiency and influencing factors of strategic emerging industries based on Super-SBM and Logit model, Science and Technology Management Research, 16, 135-143.

Downloads

Published

2021-12-11

Issue

Section

Articles