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dc.contributor.author | Kruger, Sean![]() |
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dc.contributor.author | Steyn, Adriana Aletta (Riana)![]() |
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dc.date.accessioned | 2024-12-13T10:37:15Z | |
dc.date.available | 2024-12-13T10:37:15Z | |
dc.date.issued | 2024 | |
dc.description.abstract | PURPOSE – Several disciplines and thousands of studies have used, developed and supported technology adoption theories to guide industry and support innovation. However, within the past decade, a paradigm shift referred to as the fourth industrial revolution (4IR) has resulted in new considerations affecting how models are used to guide emerging technology integration into business strategy. The purpose of this study is to determine which technology adoption model, or models are primarily used when assessing smart technologies in the 4IR construct. It is not to investigate the rigour of existing models or their theoretical underpinnings, as this has been proven. DESIGN/METHODOLOGY/APPROACH – To achieve this, a systematic literature review based on the preferred reporting items for systematic reviews and meta-analysis methodology is used. From 3,007 publications, 125 papers between 2015 and 2021 were deemed relevant for thematic analysis. FINDINGS – From the literature, five perspectives were extracted. As with other information and communication technology studies, the analysis confirms that the technology acceptance model remains the predominantly used model. However, 105 of the 125 models extended their theoretical underpinnings, indicating a lack of maturity. Furthermore, the countries of study and authors’ expertise are predominantly clustered in the European and Asian regions, despite the study noting expansion into 16 different subject areas, far beyond the smaller manufacturing scope of Industry 4.0. ORIGINALITY/VALUE – This study contributes theoretically by providing a baseline to develop a generalisable 4IR model grounded on existing acceptance trends identified. Practically, these insights demonstrate the current trends for strategists and policymakers to understand technology adoption within the 4IR to direct efforts that support innovation development, an increasingly crucial factor for survival in the digital age. Future research can investigate the additional constructs that were impactful while considering the level of research they were applied to. | en_US |
dc.description.department | Business Management | en_US |
dc.description.department | Informatics | en_US |
dc.description.librarian | am2024 | en_US |
dc.description.sdg | SDG-09: Industry, innovation and infrastructure | en_US |
dc.description.uri | https://www.emerald.com/insight/2053-4620.htm | en_US |
dc.identifier.citation | Kruger, S. and Steyn, A.A. (2024), "Navigating the fourth industrial revolution: a systematic review of technology adoption model trends", Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JSTPM-11-2022-0188. | en_US |
dc.identifier.issn | 2053-4620 | |
dc.identifier.other | 10.1108/JSTPM-11-2022-0188 | |
dc.identifier.uri | http://hdl.handle.net/2263/100021 | |
dc.language.iso | en | en_US |
dc.publisher | Emerald | en_US |
dc.rights | © Sean Kruger and Adriana A. Steyn. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. | en_US |
dc.subject | Industry 4.0 | en_US |
dc.subject | Information systems | en_US |
dc.subject | Smart technologies | en_US |
dc.subject | Technology adoption | en_US |
dc.subject | Fourth Industrial Revolution (4IR) | en_US |
dc.subject | SDG-09: Industry, innovation and infrastructure | en_US |
dc.title | Navigating the fourth industrial revolution : a systematic review of technology adoption model trends | en_US |
dc.type | Article | en_US |