BACKGROUND: Many companies are forced to restructure themselves by right sizing due to unexpected fall in demand for their products and services created by the COVID-19 pandemic. COVID 19 not only affected the health of human beings but also their wealth across the world. Global economic parameters are showing a sign of positive growth with decreased number of COVID 19 cases across the world. Many companies are in a dilemma to rehire their former employees or to hire the new candidates to meet the increased demand. OBJECTIVES: The objectives of study are i) to analyze the key drivers for boomerang hiring and ii) to develop a conceptual process for boomerang hiring. METHODS: An exploratory methodology was designed to identify the key drivers of boomerang hiring by studying the various successful stories of those companies which had rehired their former employees. Various papers were reviewed to develop the process for boomerang hiring. RESULTS: Study showed that knowledge about the culture of the company, cost of hiring, morale booster for the existing employees, and customer retention, are the key drivers for boomerang hiring. This hiring process requires special skills from HR Managers, as this decision will impact long term success of the company. CONCLUSION: The process of boomerang hiring cannot be standardized as each organization culture is different and companies cannot have the same strategy for each candidate as every individual is different. Boomerang hiring will work as the right strategy during pandemic situation as former employees would have built relations with the customers. The customers will be happy to see the former employees who had served them better.

An emerging trend of implementing Artificial Intelligence (AI) technologies can be seen in such domains that were solely dominated by humans. Today, AI is utilized extensively in HR department to assist and accelerate recruitment and selection process (Martin, F.R., 2019. Employers Are Now Using Artificial Intelligence To Stop Bias In Hiring. Retrieved September 22, 2019, from analyticsindiamag. com: https://analyticsindiamag.com/employersare-using-ai-stop-bias-hiring/.). This paper attempts to present the impact of AI on recruitment and selection process, incorporation of AI in eliminating unconscious biases during hiring. The study addresses the rising questions such as how AI has changed the landscape of recruitment industry, role of AI in recruitment and selection process, whether AI can help in eliminating the unconscious bias during recruitment and selection process. In order to uncover the understanding and figure out the potential solutions that AI brings to the HR process, an extensive review of literature has been carried out. It is concluded by analyzing the past contributions that AI offers potential solution to recruitment managers in optimizing the recruitment and selection process and is able to negate human biases prevalent during hiring. The future waits for augmented intelligence technologies offering better results taking over repetitive administrative jobs completely.

Rs.2365 Cr. in 2000-2001 to Rs. 26444804.86 Cr. in 2013

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