DETERMINANTS OF INTERNET-BASED TECHNOLOGICAL INNOVATIONS IN NIGERIAN INDUSTRIAL CLUSTERS

The adoption of Internet-based Technological Innovations (IBTI) by firms within industrial clusters has been reported to enhance technological and economic gains especially in the Fourth Industrial Revolution (4IR) era. Using appropriate standard methods, this study investigates the determinants of the adoption of IBTI among 343 firms in Nigerian industrial clusters. The result revealed that the determinants such as the performance expectancy (β = 0.392), effort expectancy (β = 0.607) and price value (β = 0.266) were positive and relevant in influencing the adoption of IBTI, while other drivers such as the attitude toward using the technology (β = – 0.109), service provider’s credibility (β = – 0.039), facilitating conditions (β = – 0.106) and economic flexibility (β = – 0.078) were negative, but also significantly determine the adoption of IBTI by the industrial firms. Thus, the availability of technological infrastructure to support industrial firms’ performance and attitudes toward using these innovations are most critical, while the proper utilization of the innovation requires understanding the impacts of cluster patterns and dynamics.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-04
DOI
https://doi.org/10.5281/zenodo.14020316
Primary Topic
Innovation and Knowledge Management
Type
article
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article

DETERMINANTS OF INTERNET-BASED TECHNOLOGICAL INNOVATIONS IN NIGERIAN INDUSTRIAL CLUSTERS

Zenodo (CERN European Organization for Nuclear Research)
Innovation and Knowledge Management
article

DETERMINANTS OF INTERNET-BASED TECHNOLOGICAL INNOVATIONS IN NIGERIAN INDUSTRIAL CLUSTERS

article en

Abstract

The adoption of Internet-based Technological Innovations (IBTI) by firms within industrial clusters has been reported to enhance technological and economic gains especially in the Fourth Industrial Revolution (4IR) era. Using appropriate standard methods, this study investigates the determinants of the adoption of IBTI among 343 firms in Nigerian industrial clusters. The result revealed that the determinants such as the performance expectancy (β = 0.392), effort expectancy (β = 0.607) and price value (β = 0.266) were positive and relevant in influencing the adoption of IBTI, while other drivers such as the attitude toward using the technology (β = – 0.109), service provider’s credibility (β = – 0.039), facilitating conditions (β = – 0.106) and economic flexibility (β = – 0.078) were negative, but also significantly determine the adoption of IBTI by the industrial firms. Thus, the availability of technological infrastructure to support industrial firms’ performance and attitudes toward using these innovations are most critical, while the proper utilization of the innovation requires understanding the impacts of cluster patterns and dynamics.

Zenodo (CERN European Organization for Nuclear Research)
Ekiti State University (NG), Federal Ministry of Health (NG), Adekunle Ajasin University (NG), Obafemi Awolowo University (NG)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Innovation and Knowledge Management
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DETERMINANTS OF INTERNET-BASED TECHNOLOGICAL INNOVATIONS IN NIGERIAN INDUSTRIAL CLUSTERS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS