This paper seeks to test the Firm Technology Adoption Model (F-TAM) using data from a developing country context. The data for this current study were purposively collected from four hundred (400) SMEs in the Greater Accra Region of Ghana. We used partial least squares structural equation modeling (PLS-SEM) for our data analysis. Data revealed that, whereas employee factors can lead to firm adoption, firm factors of adoption do not lead to firm adoption if societal factors, characteristics of the innovation, and employee factors do not moderate the relationship between firm factors and firm adoption. Data also reveals that societal factors do not lead to firm adoption if employee factors do not mediate it. The theoretical contribution of this study is that it challenges the dominant idea in most of the earlier models that firm adoption of innovation will be realized, without reference to factors at other levels of adoption. This positioning of the F-TAM model is a significant departure from earlier models. For industry practitioners, these findings illustrate the essence of putting a premium on recruiting technologically savvy employees if the firm intends to adopt digital technologies.
|Number of pages||13|
|Publication status||Published - Dec 2019|
|Event||19th International Conference on Electronic Busines - Newcastle upon Tyne, United Kingdom|
Duration: 8 Dec 2019 → 12 Dec 2019
|Conference||19th International Conference on Electronic Busines|
|City||Newcastle upon Tyne|
|Period||8/12/19 → 12/12/19|
- Firm Technology Adoption Model (F-TAM), SMEs, Developing Countries
Doe, J., van de Wetering, R., Honyenuga, B. Q., & Versendaal, J. M. (2019). Eco-system oriented instrument for measuring firm technology adoption. 25-37. Paper presented at 19th International Conference on Electronic Busines, Newcastle upon Tyne, United Kingdom.