talent acquisition
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Extant research over the last decades has stressed how artificial intelligence (AI) can be used to boost the recruitment process and to attract the best talents. Although AI is increasingly used for talent acquisition, with 36% of hiring processes expected to have a pre-screen through AI (Oracle, 2019) in the next two years, we have limited knowledge of how AI shapes talents’ perceptions about the organisation to which they are applying to. The goal of this research is to investigate if and how the usage of AI in the recruitment process improves employer attractiveness and employer branding in the eyes of the applicants. To investigate this issue a survey has been conducted on a random sample of individuals composed of 50% females and 50% males. To examine the survey’s result a structural equation modeling (SEM) has been applied. Results showed a positive relationship between EB and AI and more in particular that AI-enabled tools are perceived in a positive way by potential candidates. Thus, according to this study, AI is significantly related to Employer branding and therefore it contributes to improving talent attraction.

Artificial intelligence is already here in all facets of work life. Its integration into human resources is a necessary process which has far-reaching benefits. It may have its challenges, but to survive in the current Industry 4.0 environment and prepare for the future Industry 5.0, organisations must penetrate AI into their HR systems. AI can benefit all the functions of HR, starting right from talent acquisition to onboarding and till off-boarding. The importance further increases, keeping in mind the needs and career aspirations of Generation Y and Z entering the workforce. Though employees have apprehensions of privacy and loss of jobs if implemented effectively, AI is the present and future. AI will not make people lose jobs; instead, it would require the HR people to upgrade their skills and spend their time in more strategic roles. In the end, it is the HR who will make the final decisions from the information that they get from the AI tools. A proper mix of human decision-making skills and AI would give organisations the right direction to move forward.

Due to rising trend of enterprise eco-system, there is a need for more agile Human Resource Management (HRM) changing entire HR landscape. The requirements of client organizations are changing with each passing day which requires day-today solutions from providers of Human Resource Management (HRM) services. The focus of e-HRM is to provide readymade solutions as per changing business requirements in addition to challenges faced due to cut- throat competition by organizations viz. workforce diversity, gender inequality, talent acquisition & retention, effective HR utilization. The current paper studies fast growing bank and its changing business needs and thereafter emergence of e-HRM as solution-provider to its fast changing business needs. The research study is qualitative in nature.

“Talent acquisition, transformation and management are ?critical anchors for the growth of the industry”—Nandan Neilkeni As a result of rapid pace of science and technology around the world and the monstrous intrusion of social media into people’s lives, the changes are no longer related to a generation, decade or a period, but everything can change in a moment. Therefore, sticking to the methods of the past years or decades is a disaster. Today, the number of specialists among the manpower is higher than before, and the ideologists are like the countries’ soldiers fighting on the economic and entrepreneurial front. Science and technology are provided by talents, and they have created interactions regarding socio-economic progress in developing countries.Tec parks are safe havens for returning talents in developing Countries. With certain infrastructures and policies, parks have an essential role in returning talents.This paper is an attempt to explore science and technology for that purpose content analysis technique is used. Furthermore, it discusses the role of Pardis Technology Park in promoting the science and technology.

Workforce planning is prevalent and recognized as a good strategic practice in many organizations. However, business students may have little experience with workforce planning or workforce analytics. The purpose of this article is to present a workforce planning exercise for use in a face-to-face or online classroom setting. In this exercise, students practice applying workforce planning concepts to calculate internal employment data, find and collect external employment data, and combine multiple, sometimes conflicting, data to make workforce predictions and recommendations for a hypothetical organization. This exercise is designed to help students develop career-relevant skills and is intended for use in human resource management, talent acquisition, talent management, staffing, and/or selection classes.

In this paper, we investigate competitive balance in Major League Soccer and compare balance across talent acquisition policy regimes with a bias-corrected measure from 1996 to 2019. We evaluate multiple moments of the league talent distribution, and we add to past work by using multiple levels of aggregation that reveal heterogeneous results with respect to the distribution of talent within and across seasons. We show that there has been little improvement in competitive balance over the league's history, though there has been an increase in year-to-year stability in balance and a lower propensity for teams at the extremes of performance.