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Blockchain Technology Adoption in Canadian Pharmaceutical Sectors: An empirical analysis for a future outlook.
- Source :
-
Journal of Pharmaceutical Negative Results . 2022 Special Issue, Vol. 13, p1983-1989. 7p. - Publication Year :
- 2022
-
Abstract
- There are many calls in the literature to investigate the Blockchain technology adoption (BCT) in Canadian Organizations and its impact on boosting enterprises' competitive advantages. Although the literature requires more research cases, it is more timely and relevant that the analysis be done as early as today. Various empirical supports for Technology Acceptance Model (TAM) are available depending on situation specifics. TAM remains a widespread and convenient theoretical framework for examination of aspects contributing to technology acceptance. This study aims to find the driving forces that effectively illustrate the blockchain technology adoption in Canadian Pharmaceutical Organizations and to be able to face the challenges associated with the process of adoption. This study examined BCT application using contacts from Canadian Companies Capabilities directory (CCC) and applied SEM regression using AMOS software with 750 respondents from pharmaceutical businesses using TAM framework. Path analysis results were good: chi2 (4918.592), chi2 / DF (5.513), RMSEA (0.049), CFI (0.753), and TLI (0.804). Perceived ease of use, Perceived Usefulness, attitude towards use, and intention to use predicted BCT utilization, yet two relationships (i.e., PEOU->PU and PU->IU) were rejected in the tested model as they show negative conformity results. All components explain more than 50% of variation, hence presenting a reasonable fit between the data examined and the research model. These findings will help in understanding of pharmaceutical organizations' adoption of BCT for researchers, regulators and developers and providing supported evidence on factors contributing to the adoption of BCT in Canadian Organizations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09769234
- Volume :
- 13
- Database :
- Academic Search Index
- Journal :
- Journal of Pharmaceutical Negative Results
- Publication Type :
- Academic Journal
- Accession number :
- 160278800
- Full Text :
- https://doi.org/10.47750/pnr.2022.13.S01.233