The study focused on the most critical issues like work overload and the fear of negative evaluation, and here we measured the impact of work overload and the fear of negative evaluation in addition resultantly occur the role of frustration on employees' performance in Commercial Banks of Islamabad, Pakistan. An online and by hand floated questionnaires were distributed to the employees to obtain feedback. The target population for this study were Banks' managerial and administrative employees. Based on the convenience sampling design, 240 employees from 35 banks were approached. 199 completely filled questionnaires were received out of 240 employees. The collected data was analyzed using Smart Partial Least Squares (PLS) Path Modelling Method and Statistical Package for Social Sciences (SPSS) version 22 for analysis and the reliability test, for all items of each scale and satisfactory results were obtained. Results show that work overloads negatively influence employee performance. Similarly, fear of negative evaluation also creates an adverse impact on performance.

The study aimed at exploring the relationship between efficiency and profitability of private commercial banks operating in Pakistan. The efficiency represented by technical efficiency has been assessed by non-parametric data envelopment analysis approach while profitability indicated by return on assets has been computed through conventional ratio analysis for period 2009 to 2013. The analysis revealed that technical efficiency declined during the study period and remained at 89%. HMB was identified as the top-performing bank in technical efficiency while MCB remained highly profitable. Banks were then grouped based on TE and ROA. MBL, UBL, DIB, SCB, BAH, HBL and HMB observed as top-performing banks based on TE and ROA. These banks are considered a role model for other inefficient and less profitable banks. Whereas, other banks were grouped as weak, based on below-average ROA and TE scores. These banks can adopt distinct product mix or business strategies to become profitable in future.

Merger and acquisition (M&A) is a growth policy for business to achieve desire objectives. Its importance is showed by the number of transaction in the previous year. Thus, this study is conducted to know about the influence of M&A on firm performance. The current study is to identify the influence of M&A (pre and post) on bidding banks in Pakistan. And then to analyze factors of firm, industry and countrylevel effect the financial performance of M&A firms. For this purpose, selected 51 listed bidder banks during 2002-2013 and used descriptive statistics, Z test, and regression models for analysis. Results show that M&A is failed to produce a fruitful result for bidding banks in Pakistan. Hence, recommended that direction and practical implication are provided to banks, investors, and policymakers to get knowledge about M&A to secure their investment from financial losses.

The aim of the present study is to investigate the efficiency of domestic and foreign commercial banks of Pakistan over the period from the year 2009 to 2013 through the DEA technique (Data envelopment analysis). DEA estimates efficiency by the ratio of inputs (multiple) to outputs (multiple). For this purpose, the number of employees, deposits and fixed assets were used as inputs while Advances and Investments were taken as the outputs based on the intermediation approach. Two generic forms of DEA explicitly CCR and BCC were applied to work out technical and pure-technical efficiencies, respectively. Results offered significant information to make the decision about the efficiency of commercial banks. The study outcomes showed that foreign owned banks performed better against public and private owned banks in respect of all the efficiency measures throughout the period of study.

Merger and acquisition is the strategy used by banks to expand its development process. In the current study operating and market performance has been assessed of the Banks exercised the M&A by taking the data from 2005-17. The main focus of the study is to evaluate the Banks performance using data collected from nine banks gone through the merger and acquisition strategy with the help of ordinary least square model. The results show significant relationship operating performance but insignificant relation with market performance. Findings provided an opportunity for the Banks to study and utilize the M&A strategy for capturing market share and further development in the competitive market. Furthermore, a glimpse for potential investors has been provided who want to create a profitable portfolio according to market concentration. The implications demands that proper improvement should be considered for the mechanism and regulatory policies to ensure the security of Banks.

Organizational learning is one of the major characteristic of high performing work systems. Organizations are depicted as intelligent organizations when they focus on constant organizational learning. In the dynamic era of digitalization, securing a competitive advantage over competitors has moved beyond the effective utilization of organizational resources to effective management of organizational knowledge. This research aims to study the impact of organizational learning as a competitive advantage in the banking sector of Pakistan. OLCA (Organizational learning and Competitive Advantage) model is applied and empirical evidence is collected from the banking sector of Pakistan. Reliability analysis, correlation, Mean, standard deviation, linear regression and step wise regression analysis are used to collect the statistical viewpoint. The results of the study show positive and reliable scores. The result of the study confirms the OLCA model comprehensions in the selected sector of study. The study concludes that rather focusing on increasing the resource efficiency to gain competitive advantage, organization must focus on organizational learning as a resource to gain a lasting competitive advantage.

This study examines the risk management solutions used in the banking sector to meet the many risks. The report also evaluates how  conventional and Islamic banks in Pakistan manage risk. This study used primary sources. First, senior managers, risk managers, and chief risk officers from Islamic and normal banks fill out a questionnaire. 51 financial institutions responded. Data analysis uses descriptive statistics, cross-tabulations, t-tests, an ANOVA, and the LSD test. Regular banks' operational risk management strategies and stress test results differ from Islamic banks statistically. The study found no statistically significant difference between Islamic and conventional banks in how well they used risk management tools and systems, how much
market risk VaR they used, how much credit risk exposure they had, how they reduced that risk, and how they analyzed their credit risk portfolios.