FIRM TECHNOLOGY ADOPTION MODEL (F-TAM) AMONG SME’S: AN INTERACTIVE ECO-SYSTEM PERSPECTIVE

Joshua Doe, R. van de Wetering, Ben Q Honyenuga, J.M. Versendaal

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)70-91
Number of pages22
JournalIADIS International Journal on Computer Science and Information Systems
Volume14
Issue number1
Publication statusPublished - Dec 2019

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Ecosystem
Factors
Systems perspective
Technology adoption
Employees
Premium
Recruiting
Developing countries
Structural equation modeling
Innovation
Ghana
Adoption of innovations
Industry
Partial least squares
Small and medium-sized enterprises
Positioning
Digital technology

Cite this

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title = "FIRM TECHNOLOGY ADOPTION MODEL (F-TAM) AMONG SME’S: AN INTERACTIVE ECO-SYSTEM PERSPECTIVE",
abstract = "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.",
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FIRM TECHNOLOGY ADOPTION MODEL (F-TAM) AMONG SME’S : AN INTERACTIVE ECO-SYSTEM PERSPECTIVE. / Doe, Joshua; van de Wetering, R.; Honyenuga, Ben Q; Versendaal, J.M.

In: IADIS International Journal on Computer Science and Information Systems, Vol. 14, No. 1, 12.2019, p. 70-91.

Research output: Contribution to journalArticleAcademicpeer-review

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