The purpose of this research was to investigate the outcomes of envy in the workplace and the moderating role of perceived organizational support. Data was collected from 270 employees of the telecom industry. The cross-sectional research was conducted, and the data was collected through survey questionnaires from employees hailing from private Telecom companies in Pakistan. Results showed that upward social comparison initiates benign and malicious envy which, in turn, affects employee performance. Benign envy results in enhancing the employee performance whereas malicious envy shows no relationship with employee performance. By paying attention to supporting the employees, malicious envy can enhance employee performance.
There is increasing growth in load demands and financial strain to upgrade the present power distribution system. It faces challenges such as power losses, voltage deviations, lack of reliability and voltage instability. There is also a sense of responsibility in the wake of environmental and energy crises to adopt distributed renewable resources for power generation. These challenges can be resolved by optimally allocating distributed generators (DGs) at different suitable locations in the radial power distribution system. Optimal allocation is a non-linear problem which is solved by powerful metaheuristic optimization algorithms. In this work, an objective function is introduced to optimally size four different types of DGs by utilizing honey badger algorithm (HBA), and comparison is drawn with grey wolf optimization (GWO) and whale optimization algorithm (WOA). The objective is to boost the voltage profile and minimize the power losses of the standard IEEE 33bus and 69-bus radial power distribution system. It is observed from the simulation results that honey badger algorithm is faster than grey wolf optimization and whale optimization algorithm in reaching accurate and optimum results in a mere one and two iterations for IEEE 33-bus and 69-bus systems, respectively. Additionally, power losses are reduced to 71% and 70% for IEEE 33-bus and 69-bus, respectively.
The main purpose of this study is to examine the development of trust through social media influencers and halal tourism to impact the travel decision of travelers in the context of Pakistan. In this regard, the data is collected from university students of Gujranwala including University of Punjab Gujranwala Campus and GIFT University. In this study, the regression analysis and mediations were run and found all hypotheses are accepted. The study concluded that Social Media Influencers and Halal Tourism significantly impacts the decisions of travelers. The current study also revealed that trust mediates the relationship of social media influencers and travel decision, halal tourism and travel decision.
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