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Customers often get attracted by lucrative deals and discounts offered by firms. These, attracted customers are termed as encouraged arrivals. In this paper, we developed a multi-server Feedback Markovian queuing model with encouraged arrivals, customer impatience, and retention of impatient customers. The stationary system size probabilities are obtained recursively. Also, we presented the necessary measures of performance and gave numerical illustrations. Some particular, and special cases of the model are discussed.

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Artificial intelligence (AI) has grown by leaps and bounds in the past few years making it a necessary tool for organizations all over the world to pave the road to a smart future by entering into its various functions and making it more efficient. However, companies in India have been hesitant and slow to adapt this technology, and this hesitation is ever so clearly seen in the human resources function of the organization. The primary purpose of this chapter is to explore the application, benefits and challenges of integration, and the limitations of AI in HRM within the Indian context. The study is relevant and beneficial to organisations that seek to enhance the effectiveness and efficiency of their HRM functions by leveraging the power of AI.