EMPLOYEE EMPOWERMENT AND ITS INFLUENCE ON EMPLOYEE PERFORMANCE: A CASE OF HAZARA UNIVERSITY

The aim of this study was to analyze the effect of employee empowerment on the performance of faculty members at Hazara University. In this regard survey approach was used and data was collected through self-administered questionnaires. Out of total population of 490 faculty members, 450 were selected as a sample and questionnaires were distributed among them out of which 360 were received back. The findings of the study revealed that trust, reward and communication have a statistically significant and positive effect on employee performance. Additionally, knowledge has a negative relationship with employee performance but it is statistically in significant

Does Stress affect job performance of male and female employees differentially? A study of the perceptions of employees of Sungi in Hazara Region of Pakistan

This study was carried out to find how stress affects the performance of male and female employees in the NGO sector in Pakistan. The authors have used a case study approach. The data was collected using in-depth interviews of the employees of Sungi foundation in district Abbottabad of Khyber-Pakhtunkhwa province in Pakistan. Our results suggest that stress differentially impacts both male and female employees in the NGO sector in Pakistan. Although both males and females thought they experienced a drop in performance due to stress, the female employees felt they were affected more. This is due to their family responsibilities in addition to job duties. The study does not seek to generalize to all the other settings and the authors strongly suggest further studies to replicate the findings. The use of rigorous quantitative methodologies will lend more rigors to the results

EMPLOYEE EMPOWERMENT AND ITS INFLUENCE ON EMPLOYEE PERFORMANCE: A CASE OF HAZARA UNIVERSITY

The aim of this study was to analyze the effect of employee empowerment on the performance of faculty members at Hazara University. In this regard survey approach was used and data was collected through self-administered questionnaires. Out of total population of 490 faculty members, 450 were selected as a sample and questionnaires were distributed among them out of which 360 were received back. The findings of the study revealed that trust, reward and communication have a statistically significant and positive effect on employee performance. Additionally, knowledge has a negative relationship with employee performance but it is statistically in significant

Does Stress affect job performance of male and female employees differentially? A study of the perceptions of employees of Sungi in Hazara Region of Pakistan

This study was carried out to find how stress affects the performance of male and female employees in the NGO sector in Pakistan. The authors have used a case study approach. The data was collected using in-depth interviews of the employees of Sungi foundation in district Abbottabad of Khyber-Pakhtunkhwa province in Pakistan. Our results suggest that stress differentially impacts both male and female employees in the NGO sector in Pakistan. Although both males and females thought they experienced a drop in performance due to stress, the female employees felt they were affected more. This is due to their family responsibilities in addition to job duties. The study does not seek to generalize to all the other settings and the authors strongly suggest further studies to replicate the findings. The use of rigorous quantitative methodologies will lend more rigors to the results

Pakistan's Next Industrial Revolution: The Case of Industrial Estates in Hazara Region

Objective: This research paper aims to identify the major hurdles in the industrial development of Pakistan. Hazara division being located on China Pakistan Economic Corridor (CPEC) route is one of the important hubs and is, therefore, the universe of this study. Method: The relevant data needed for the research was collected from Abbottabad and Haripur industrial estates using snowball sampling. An in-depth personal interview with seven industrialists in the targeted area was conducted to get an insight into the underlying causes of industrial sickness. Interviews were recorded using smart phones, were then transcribed and analyzed. The themes were deducted after listening to the recording multiple times.  Result: The themes we deduced from the interviews were Location Disadvantage and Supply Chain disruptions, Technological backwardness and low-skilled workforce, Complicated System of Taxes, Inefficient and unhelpful governmental policies, power shortage, and Threats from Cheap Chinese Goods. Conclusion: Based on the findings of this research it is concluded that the government needs to revise its policy making it more supportive for industrial development. Concrete power supply policy and preparing skilled laborers will enhance industrial development. Similarly, the industry needs to adopt a proactive policy and introduce a collective solution rather than working individually as a unit. A university-industry collaboration is needed to be developed for ensuring the technical and skilled workforce as well as keeping in pace with the advanced countries

A Review of Deep Learning Security and Privacy Defensive Techniques

In recent past years, Deep Learning presented an excellent performance in different areas like image recognition, pattern matching, and even in cybersecurity. The Deep Learning has numerous advantages including fast solving complex problems, huge automation, maximum application of unstructured data, ability to give high quality of results, reduction of high costs, no need for data labeling, and identification of complex interactions, but it also has limitations like opaqueness, computationally intensive, need for abundant data, and more complex algorithms. In our daily life, we used many applications that use Deep Learning models to make decisions based on predictions, and if Deep Learning models became the cause of misprediction due to internal/external malicious effects, it may create difficulties in our real life. Furthermore, the Deep Learning training models often have sensitive information of the users and those models should not be vulnerable and expose security and privacy. The algorithms of Deep Learning and machine learning are still vulnerable to different types of security threats and risks. Therefore, it is necessary to call the attention of the industry in respect of security threats and related countermeasures techniques for Deep Learning, which motivated the authors to perform a comprehensive survey of Deep Learning security and privacy security challenges and countermeasures in this paper. We also discussed the open challenges and current issues