Assessing the readiness to adopt technologies of the fourth industrial revolution as a means to improve knowledge management practices in academic institutions
| dc.article.end-page | 127 | |
| dc.article.start-page | 1 | |
| dc.contributor.author | Ankonkwa, Judith B. | |
| dc.contributor.supervisor | Moodley, Althea | |
| dc.date.accessioned | 2024-06-03T11:01:17Z | |
| dc.date.available | 2024-06-03T11:01:17Z | |
| dc.date.issued | 2023 | |
| dc.description | Research report Submitted in fulfilment of the requirements for the degree of Master of Business Science In the Faculty of Commerce, Law and Management University of the Witwatersrand Johannesburg | |
| dc.description.abstract | Today's world is being transformed by technological advances in the fourth industrial revolution (4IR). In the education sector, the technological personalities of the academic staff associated with the acceptance of 4IR technologies play a crucial role in learning and teaching. This study assessed the readiness of academic staff to adopt the technologies of the 4IR to improve Knowledge Management (KM) practices. The study used the technology readiness and acceptance model (TRAM). This framework combines two models, the Technologies Readiness Index (TRI) and the Technology Acceptance Model (TAM). TRI has four factors, optimism, innovativeness, discomfort, and insecurity. In the TAM model, the intention to use new technology is affected by two constructs, perceived ease of use and perceived usefulness. This study adopted a mixed method. The research was conducted at the University of the Witwatersrand South Africa in the school of Commerce, Law and Management (CLM). One hundred thirteen questionnaires (113) were sent to academic staff in CLM; only 90 questionnaires were completed, and one was discarded. The remaining 89 questionnaires represented a 78,7% response rate. The questionnaire had two sections, a section with closed-ended questions designed to collect quantitative data and a section with open-ended questions devised to collect qualitative data. Seven hypotheses were developed and tested following the research objectives of the study. These hypotheses were analyzed using multiple regression analysis and Pearson Product Moment Correlation (PPMC) via IBM SPSS statistics version 28. Thematic analysis was also used to assess qualitative data. The study's findings revealed that only optimism significantly affected the perceived usefulness of 4IR technologies. Furthermore, only innovativeness significantly positively affected the perceived ease of use of 4IR technologies. In addition, the results showed no significant effect between perceived ease of use and the intention to use 4IR technologies. Finally, the findings indicated that perceived usefulness and ease of use are instrumental in determining the academic staff's intention to use 4IR technologies. CLM WITS 2023 Abstract iii Today’s world is being transformed by the advance of technologies of the fourth industrial revolution(4IR). In the education sector, the technological personalities of academic staff associated to the acceptance of 4IR technologies plays a crucial role in the way learning and teaching is done | |
| dc.description.submitter | MM2024 | |
| dc.faculty | Faculty of Commerce, Law and Management | |
| dc.identifier.uri | https://hdl.handle.net/10539/38584 | |
| dc.language.iso | en | |
| dc.publisher | University of the Witswatersrand, Johannesburg | |
| dc.rights | © University of the Witswatersrand, Johannesburg | |
| dc.rights.holder | University of the Witswatersrand, Johannesburg | |
| dc.school | School of Business Sciences | |
| dc.subject | Fourth industrial revolution (4IR) | |
| dc.subject | UCTD | |
| dc.subject | Knowledge Management (KM) | |
| dc.subject | Technologies Readiness Index (TRI) | |
| dc.subject | Technology | |
| dc.subject | Academic institutions | |
| dc.subject.other | SDG-9: Industry, innovation and infrastructure | |
| dc.title | Assessing the readiness to adopt technologies of the fourth industrial revolution as a means to improve knowledge management practices in academic institutions | |
| dc.type | Dissertation |