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The achievement of robust employee performance (EP) is a critical issue for every organization due to its significant contribution to organizational success. This study aims to examine the impact of employee-related factors on EP at private banks in Sindh, Pakistan. The researchers used quantitative methods to obtain data from private banks in Sindh at random using a survey questionnaire. The researchers distributed or delivered 528 survey forms to the various branches of Sindh's private banks. The researcher returned 318 valid surveys with a 60% response rate. The overall reliability of the questionnaire is noticed as 0.853, while individual factor reliability also appeared as greater than 0.60. The researchers used the structural equation model (SEM) to assess the hypothesized paths by analysis of moment structures (AMOS). The study findings suggest that the employee-related factors, i.e. proactivity (PA), adaptability (AD), intrinsic motivation (IM), skills flexibility (SF), commitment (CMT) and skill level (SL) significantly and positively affect EP. This study contributes to the HRM literature, particularly in the area of EP and assists the management and practitioners of human resources management and development in increasing organizational performance.

The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed by traditional data handling methods or techniques. The field of Big Data plays an indispensable role in various fields, such as agriculture, banking, data mining, education, chemistry, finance, cloud computing, marketing, health care stocks. Big data analytics is the method for looking at big data to reveal hidden patterns, incomprehensible relationship and other important data that can be utilize to resolve on enhanced decisions. There has been a perpetually expanding interest for big data because of its fast development and since it covers different areas of applications. Apache Hadoop open source technology created in Java and keeps running on Linux working framework was used. The primary commitment of this exploration is to display an effective and free solution for big data application in a distributed environment, with its advantages and indicating its easy use. Later on, there emerge to be a required for an analytical review of new developments in the big data technology. Healthcare is one of the best concerns of the world. Big data in healthcare imply to electronic health data sets that are identified with patient healthcare and prosperity. Data in the healthcare area is developing past managing limit of the healthcare associations and is relied upon to increment fundamentally in the coming years., Comment: 45-54