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This research aims to design a comprehensive resilience model in the banking industry for identifying the dimensions and components that can enhance organizational resilience in the industry, which can contribute to the existing literate as a promising comprehensive model.

After reviewing the literature and studying the models of organizational resilience, semistructured interviews were conducted with managers and prominent experts in the banking industry. To analyze the interviews, the thematic analysis technique was used with three coding stages. After designing the research model in two main dimensions of micro and macro management in the banking industry, the relation between the main components and subcomponents was identified by using Interpretive Structural Modeling (ISM) and DEMATEL techniques.

The study findings indicating that proper observation and predicting the bank's problems and making suitable connections with the government are two major indicators of the resilience of the banking network, which can realize through influencing the components of risk management, financial resource management and system corruption. The results of this research can lead to the expansion of theoretical foundations of the past research and the concept of organizational resilience in the field of financial services and especially the banking industry.

This paper provides the components with a more significant impact, which bank managers should consider the relationship among them to enhance organizational resilience for more effectiveness of their decisions.

This research investigates the effect of audit report lag on the cost of equity capital. We argue that an extended audit report lag reduces the value of information and raises concerns for investors, resulting in an increased cost of equity capital.

We hypothesize that audit report lag increases the firm cost of equity capital. We conduct ordinary least squares (OLS) regression analyses to examine our hypothesis. Finally, we also perform a range of sensitivity tests to examine the hypothesis and robustness of findings.

Using a sample of the listed US firms from 2003 to 2018, we find that firms with higher audit report lag have a higher cost of equity capital. Our findings are economically significant as one standard deviation increase in audit report lag raises 3.82 basis points of cost of equity capital. Furthermore, our results remain robust to endogeneity concerns and alternative proxies for the cost of equity capital measures. Finally, we confirm that audit report lag increases the firm cost of equity capital through increasing information asymmetry and future financial restatement as a mediating channel.

We contribute to the theoretical discussion about the role of audit report lag and investors' perceptions. Overall, our results suggest that audit report lag affects a firm cost of equity capital.