[1] A. Ahmadian, Design of rapid warning system for predicting bankruptcy exposure time, Quart. J. Appl. Econom. Theor. 4 (2015) 119–144.
[2] J. Alves and R. Meneses, Partner selection in coopetition: a three step model, J. Res. Market. Entrepreneurship 17(1) (2015) 23–35.
[3] R. Ayadi and R.H. Schmidt, Investigating Diversity in the Banking Sector in Europe: The Performance and Role of Savings Banks, CEPS, 2009.
[4] M. Azarbad, M. Ekhtiari, A. Sarfaraz and F. Abdi, A framework to select commercial bank partner using fuzzy BSC-DEA method, Manag. Sci. Lett. 1(4) (2011) 467–480.
[5] L. Becchetti, R. Ciciretti and A. Paolantoni, The participation bank difference before and after the global financial crisis, J. Int. Money Finance 69 (2016) 224–246.
[6] F. Betz, S. Oprica, T.A. Peltonen and P. Sarlin, Predicting Insolvency in European Banks, European Central Bank, 2013.
[7] P.E. Bierly and S. Gallagher. Explaining alliance partner selection: Fit, trust and strategic expediency, Long Range Plan. 40(2) (2007) 134–153.
[8] R.D. Brunner, Context-sensitive monitoring and evaluation for the World Bank, Policy Sci. 37(2) (2004) 103–136.
[9] L. Chiaramonte, E. Croci and F. Poli, Should we trust the Zscore? Evidence from the European Banking Industry, Global Finance J. 28 (2015) 111—131.
[10] S. Clerides, M.D. Delis and S. Kokas, A new Data Set on Competition in NationalBanking Markets”, Financ. Market. Institut. Instrum. 24(2-3) (2015) 267–311.
[11] J.L. Cummings and S.R. Holmberg, Best-fit alliance partners: the use of critical success factors in a comprehensive partner selection process, Long Range Plan. 45(2-3) (2012) 136–159.
[12] K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE Trans. Evolution. Comput. 6(2) (2002) 182–197.
[13] A. Divandari. The Need to Reform the Banking System, Quart. J. Econom. News 149 (2016) 23–24.
[14] M. Farokhiani, Investigating the Relationship Between Equity Structure and Bank Risk Indicators, Iranian Institute of Banking. 2007.
[15] J.M. Geringer and L. Hebert, Measuring performance of international joint ventures. J. Int. Business Stud. 22(2) (1991) 249–263.
[16] P. Gogas, T. Papadimitriou and A. Agrapetidou, Forecastingbankfailures and stress testing: A machine learning approach, Int. J. Forecast. 34(3) (2018) 440-–455.
[17] I. Hatak and K. Hyslop, Cooperation between family businesses of different size: A case study, J. Cooperati. Organ. Manag. 3(2) (2015) 52–59.
[18] H. Hesse and M. Cih´ak, ˇ Cooperative banks and financial stability, IMF Working Papers 2007(2) (2007).
[19] R. Iyer and M. Puri, Understing Bank Runs: The Importance of Depositor-Bank Relationships & Networks, Cambridge, 2008.
[20] Xiaofei. Li, C. Escalante and J. Epperson, Agricultural banking and bank failures of the Late 2000s financial crisis: A Survival analysis using Cox proportional Hazard Model, Southern Agricultural Economics Association (SAEA) Annual Meeting, Dallas, Texas, 1-4 February 2014.
[21] Z . Lin and L. Wang, Multi-stage partner selection based on genetic-ant colony algorithm in agile supply chain network, IEEE Young Computer Scientists, The 9th Int. Conf. 2008.
[22] M. Moradi, Designing A Profit Quality Model in Tehran Stock Exchange with Emphasis on The Role of Accruals, Account. Audit. Res. 25 (2015) 76–99.
[23] M. Morshedzadeh, Development of A Model for Calculating Corporate Income Tax Inflationary Economy of Iran, PhD Thesis, University of Tehran, 2019.
[24] B.J, Nalebuff, A. Brandenburger and A. Maulana, Co-opetition, Harper Collins Business London, 1996.
[25] M.R. Nikbakht and M. Ghorbani, Identify the indicators of banks at bankruptcy risk based on the Theme method, Scientif. Quart. Experiment. Financ. Account. Stud. 66 (2020) 51–86.
[26] A. C. Okezie, Capital ratio as predictors of insolvency: A Case study of The Nigerian banking system. Global Journal of Human Social Science, (2011). 3-11.
[27] C. Prakash and M. Barua. A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry, Sustain. Product. Consump. 7 (2016) 66–78.
[28] M. Rezvanian, The effect of financing structure on the risk of bank insolvency, in Banking. Iranian Institute of Banking Education. 2013.
[29] G. Rihab, Ownership structure, deposits structure, income structure and insolvency risk in GCC Islamic banks, J. Islamic Account. Business Res. 7(2) (2016) 73–100.
[30] K. Ruihao, Predicting Financial Insolvency in Debt Contracting, University of California, Los Angeles, 2012.
[31] Ch. Seungho, K. Yong, P. Junho and Sh. Hojong, Bank partnership and liquidity crisis, J. Bank. Finance 120 (2020) 70–81.
[32] M. Sergio, P. Cortez and P. Rita, Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation, Expert Syst. Appl. 42 ( 2015) 42–52.
[33] S. Sheri and M.M. Naderi, Determining the relationship between macro-economic factors and bank credit risk,
Account. Audit. Res. 4(16) (2012) 102–119.
[34] V. Sundararajan and L. Errico, Islamic financial institutions and products in the global financial system: key issues in risk management and challenges ahead, Int. Monet. Fund. 2 (2002) 1–27.
[35] H. Turan, The weighting of factors affecting credit risk in banking, Procedia Econom. Finance 38 (2016) 49–53.
[36] T. Yong and J. Anchor, Does competition only impact on insolvency risk? New evidence from the Chinese banking industry, Int. J. Manager. Finance 13(3) (2017) 1–36.
[37] M. Zineldin, Co-opetition: the organization of the future, Market. Intell. Plan. 22(7) (2004) 780–790.