Search

This research paper examines the applicability of talent measure sculpts for effective talent management in automobile industries and IT sector with special reference to Krishnagiri district in Tamil Nadu, India. In the primary data collected from the 100 respondents from automobile industry and IT service sector using factor analysis, seven important factors: (1) creativity and innovation; (2) leadership; (3) teamwork; (4) interpersonal sensitivity; (5) personal motivation; (6) association; and (7) team spirit, which constitute talent were found. It was also found applying nonparametric Mann-Whitney test that there is no significant difference between the opinion of automobile industry and IT service sector employees with regard to a set of factors that constitutes talent management. This study helps the company to retain the present talented workforce and stop them from quitting the organization. Critical talent has been defined and identified covering all staff-level positions and suggestions have been proposed in line with company's requirements and capabilities in order to select perfect and highly skilled employees for the organization. [ABSTRACT FROM AUTHOR]

ChatBots (CB) technology is an artificial intelligence-powered system that uses chat or speech interface to engage with users and execute basic tasks. With technological advancement, the banking sector has started using CBs for customer convenience. The interest of the customers in digital transformation has created space for financial CBs as a prominent technology. CB technology has been promptly incorporated in banking sector. The aim of the study is to evaluate individual perspective of banking CBs in Coimbatore district of Tamil Nadu. The measurement scale is based on the Technology Acceptance Model created by Venkatesh and Davis (2000) and extended with TAM 3 (Venkatesh and Bala, 2008). The novel model uses digital literacy as the moderator. The extended variables constructed for examining individual perspectives on chatbots in the banking industry are: explicitly perceived enjoyment, perceived risk, self-efficacy, technology anxiety, personal innovativeness and the variables of TAM. The study sample included a combination of both public and private bank customers. [ABSTRACT FROM AUTHOR]