A. Ahmadian, Design of rapid warning system for predicting bankruptcy exposure time, Quart. J. Appl. Econom.
Theor. 4 (2015) 119–144.
 J. Alves and R. Meneses, Partner selection in coopetition: a three step model, J. Res. Market. Entrepreneurship
17(1) (2015) 23–35.
 R. Ayadi and R.H. Schmidt, Investigating Diversity in the Banking Sector in Europe: The Performance and
Role of Savings Banks, CEPS, 2009.
 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. 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.
 F. Betz, S. Oprica, T.A. Peltonen and P. Sarlin, Predicting Insolvency in European Banks, European Central
 P.E. Bierly and S. Gallagher. Explaining alliance partner selection: Fit, trust and strategic expediency, Long
Range Plan. 40(2) (2007) 134–153.
 R.D. Brunner, Context-sensitive monitoring and evaluation for the World Bank, Policy Sci. 37(2) (2004) 103–136
 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.
 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.
 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.
 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.
 A. Divandari. The Need to Reform the Banking System, Quart. J. Econom. News 149 (2016) 23–24.
 M. Farokhiani, Investigating the Relationship Between Equity Structure and Bank Risk Indicators, Iranian Institute of Banking. 2007.
 J.M. Geringer and L. Hebert, Measuring performance of international joint ventures. J. Int. Business Stud. 22(2)
 P. Gogas, T. Papadimitriou and A. Agrapetidou, Forecastingbankfailures and stress testing: A machine learning
approach, Int. J. Forecast. 34(3) (2018) 440-–455.
 I. Hatak and K. Hyslop, Cooperation between family businesses of different size: A case study, J. Co-operati.
Organ. Manag. 3(2) (2015) 52–59.
 H. Hesse and M. Cih´ak, ˇ Cooperative banks and financial stability, IMF Working Papers 2007(2) (2007).
 R. Iyer and M. Puri, Understing Bank Runs: The Importance of Depositor-Bank Relationships & Networks,
 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.
 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.
 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.
 M. Morshedzadeh, Development of A Model for Calculating Corporate Income Tax inTheInflationary Economy
of Iran, PHD Thesis, University of Tehran, 2019.
 B.J, Nalebuff, A. Brandenburger and A. Maulana, Co-opetition, Harper Collins Business London, 1996.
 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.
 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.
 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.
 M. Rezvanian, The effect of financing structure on the risk of bank insolvency , in Banking. Iranian Institute of
Banking Education. 2013.
 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.
 K. Ruihao, Predicting Financial Insolvency in Debt Contracting, University of California, Los Angeles, 2012.
 Ch. Seungho, K. Yong, P. Junho and Sh. Hojong, Bank partnership and liquidity crisis, J. Bank. Finance 120
 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.
 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.
 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. H. Turan, The weighting of factors affecting credit risk in banking, Procedia Econom. Finance 38 (2016) 49–53.
 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.
 M. Zineldin, Co-opetition: the organization of the future, Market. Intell. Plan. 22(7) (2004) 780–790.