The general aim of this research was to investigate whether a relationship exists between the perceptions of job characteristics, job satisfaction (JS) and organisational commitment (OC) of e-tutors in a virtual work environment in an Open Distance Learning (ODL) university in South Africa. Considering the nature of the virtual work environment and the Job Characteristics Model (JCM), the design of e-tutors’ jobs does not encompass some of the core dimensions. This creates certain distinctive issues in terms of how e-tutors work, relate and communicate with their supervisors and co-workers. This has the potential to negatively affect their levels of JS and OC and increase their intention to leave the organisation. Accordingly, a quantitative survey was conducted on a sample of 279 (n = 279) e-tutors serving contracts at an ODL institution in South Africa. An exploratory factor analysis in the absence of good fit revealed a three-factor model for job characteristics, a two-factor model for JS, and a three-factor model for OC. Moreover, a correlational analysis revealed a statistically significant relationship between perceptions of job characteristics, JS, and OC. A bivariate-partial correlation revealed that the relationship between job characteristics and JS is stronger than the relationship between job characteristics and OC. Following these correlations, a regression analysis was done to test the influencing nature of job characteristics on JS and OC. Accordingly, the results revealed that 26% of the effect of JS on OC is mediated by job characteristics. Tests for statistically significant mean differences revealed no significant difference between male and female e-tutors, nor differences in terms of their job tenure. However, in terms of educational background, significant mean differences were found between e-tutors holding undergraduate degrees and those holding postgraduate degrees. In order to determine which colleges differ significantly, multiple comparison tests were done, but the results revealed no significant individual differences. These results are applicable to similar populations and may help to improve the work experiences of other virtual workers. In addition, it is envisioned that they may help to improve human resource management practices in virtual work environments. / Human Resource Management / M. Com. (Human Resource Management)