Investigating the Effect of Non-financial Indicators on Forecasting the Occurrence of Financial Distress from the View of Urban Managers (Case Study: Bank Shahr)

The purpose of this study was to investigate the effect of non-financial indicators on forecasting The occurrence of financial distress in the Shahr Bank from the point of view of urban managers using the structural equation modeling approach. This research is an applied research in terms of purpose And in terms of method, it was a descriptive-survey study. The statistical population of the study consisted of 53 senior and middle managers of Tehran Municipality and Shahr Bank. gathering of information has been done in the library form and field study method (questionnaires) were used to collect information. The method of analyzing the research data was structural equations modeling in Smart PLS software. The results showed that from the perspective of urban managers, corporate governance indicators, management ability and competitiveness are indicators with a non-financial nature Which can be very effective in forecasting The occurrence of financial distress So that corporate governance 65%, management ability 47% and competitiveness index 56% directly determine the changes related to the variable of forecasting the occurrence of financial distress. Also, the final study results shows that there is a positive and significant correlation between non-financial indicators and forecasting the occurrence of financial distress.