Examining the Adoption of Natural Language Processing in HR Practice: An Empirical Investigation Using TAM

<p>This paper discusses how employees respond to and embrace the idea of using chatbots to perform their human resources tasks and roles. This paper aims to investigate the Technology Adoption Model (TAM) constructs and two external factors to identify employees’ attitudes toward and acceptance of chatbots for HR functions. A closed-ended questionnaire with a 7-point Likert scale was developed with a clear structure to collect data from a diverse group of professionals, including HR managers, administrative staff, and other employees who interact with HR functions in their organisations from various sectors within the Delhi-NCR region, including the IT, finance, and manufacturing industries. The cross-sectional data collected from 237 respondents for this study were analysed through Partial Least Squares Structural Equation Modelling (PLS-SEM). The results of the study revealed a significant positive influence of PEOU and TE on PU. However, PU alone was not a significant determinant of employees’ attitudes towards chatbot adoption.</p>