Eco-system oriented instrument for measuring firm technology adoption

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

Research output: Contribution to conferencePaperAcademic

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
Pages25-37
Number of pages13
Publication statusPublished - Dec 2019
Event19th International Conference on Electronic Busines - Newcastle upon Tyne, United Kingdom
Duration: 8 Dec 201912 Dec 2019
http://iceb2019.johogo.com/

Conference

Conference19th International Conference on Electronic Busines
Abbreviated titleICEB
CountryUnited Kingdom
CityNewcastle upon Tyne
Period8/12/1912/12/19
Internet address

Fingerprint

Ecosystem
Factors
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

Keywords

  • Firm Technology Adoption Model (F-TAM), SMEs, Developing Countries

Cite this

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.
Doe, Joshua ; van de Wetering, R. ; Honyenuga, Ben Q ; Versendaal, J.M. / Eco-system oriented instrument for measuring firm technology adoption. Paper presented at 19th International Conference on Electronic Busines, Newcastle upon Tyne, United Kingdom.13 p.
@conference{2ec911f11fc5436c817fb321f80dbb3e,
title = "Eco-system oriented instrument for measuring firm technology adoption",
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.",
keywords = "Firm Technology Adoption Model (F-TAM), SMEs, Developing Countries",
author = "Joshua Doe and {van de Wetering}, R. and Honyenuga, {Ben Q} and J.M. Versendaal",
year = "2019",
month = "12",
language = "English",
pages = "25--37",
note = "19th International Conference on Electronic Busines, ICEB ; Conference date: 08-12-2019 Through 12-12-2019",
url = "http://iceb2019.johogo.com/",

}

Doe, J, van de Wetering, R, Honyenuga, BQ & Versendaal, JM 2019, 'Eco-system oriented instrument for measuring firm technology adoption', Paper presented at 19th International Conference on Electronic Busines, Newcastle upon Tyne, United Kingdom, 8/12/19 - 12/12/19 pp. 25-37.

Eco-system oriented instrument for measuring firm technology adoption. / Doe, Joshua; van de Wetering, R.; Honyenuga, Ben Q; Versendaal, J.M.

2019. 25-37 Paper presented at 19th International Conference on Electronic Busines, Newcastle upon Tyne, United Kingdom.

Research output: Contribution to conferencePaperAcademic

TY - CONF

T1 - Eco-system oriented instrument for measuring firm technology adoption

AU - Doe, Joshua

AU - van de Wetering, R.

AU - Honyenuga, Ben Q

AU - Versendaal, J.M.

PY - 2019/12

Y1 - 2019/12

N2 - 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.

AB - 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.

KW - Firm Technology Adoption Model (F-TAM), SMEs, Developing Countries

UR - http://iceb2019.johogo.com/assets/ICEB2019-ProgramBook.pdf

M3 - Paper

SP - 25

EP - 37

ER -

Doe J, van de Wetering R, Honyenuga BQ, Versendaal JM. Eco-system oriented instrument for measuring firm technology adoption. 2019. Paper presented at 19th International Conference on Electronic Busines, Newcastle upon Tyne, United Kingdom.