Title: Exploring employees' intentions in adopting telecommuting technology
Authors: Krishnan Gopinath; Sudharsan Sezhian
Addresses: Department of Management Studies, Indian Institute of Technology Madras, Chennai, Tamil Nadu 600036, India ' School of Excellence, Bharathidasan Institute of Management, Tiruchirappalli, Tamil Nadu 620014, India; Affiliated to: Bharathidasan University, India
Abstract: Telecommuting or work-from-home facilitates flexible working arrangements for employees; also, since there is no commute involved, particularly car commute, it also promotes sustainable travel behaviour. Despite the growth and popularity of this mode of working, there is a gap in understanding regarding the adoption of telecommuting technologies. Hence, this study has developed a novel research model that integrates the technology acceptance model (TAM) with the diffusion of innovation (DOI) theory and has extended it with the constructs, security risk and resistance to change, in order to advance the understanding of the adoption of telecommuting technologies. The research model was estimated using the structured equation modelling (PLS-SEM) based on empirical data (N = 332). The results revealed perceived usefulness, perceived ease of use, attitude, compatibility, and resistance to change, as the predictors of behavioural intention. Compatibility emerged as a predictor of perceived ease of use. Further, perceived ease of use and compatibility emerged as antecedents of perceived usefulness. The study contributes to the literature on telecommuting adoption by extending the TAM and DOI. The findings of the study would provide valuable insights for the designers, practitioners, and policymakers involved in the development of telecommuting technologies.
Keywords: telecommuting technology; technology acceptance model; TAM; diffusion of innovation theory; security risk; resistance to change; dual-factor model.
DOI: 10.1504/IJBIS.2025.148793
International Journal of Business Information Systems, 2025 Vol.50 No.2, pp.167 - 190
Received: 29 Jul 2021
Accepted: 23 Nov 2021
Published online: 25 Sep 2025 *