Unveiling End-users' Satisfaction and Actual Use of Blockchain in e-Health: Empirical Evidence from Bangladesh
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Published
30 June 2024
Keywords:
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Blockchain technology, digital health, technology adoption, IS success, task technology fit, least developed countries
Abstract
Data safety and security have become threatening issues in the health industry. Against this backdrop, blockchain technology has opened up a new window for healthcare stakeholders. This research aims to enhance the understanding of the factors that influence user satisfaction and actual use behavior of blockchain technology in the electronic health sector in Bangladesh. A convenience sampling collected primary data (270 responses) from nurses, doctors, emergency staff, and laboratory technicians. AMOS and SPSS were used for analysis. The data were analyzed using descriptive statistics, assessing normality, common method bias, validity, reliability test and regression weight analysis. The findings of this study reveal that the task characteristics, performance expectancy, information quality, and service quality of blockchain are significantly related to end-user satisfaction. Performance expectancy had the greatest weighted influence on satisfaction. End-user satisfaction reflects strong usage behavior towards blockchain technology in Bangladesh. Surprisingly, system quality does not substantially affect user satisfaction derived from blockchain technology. This study analyzes the most critical predictors of satisfaction evoked by using blockchain, particularly relevant to the context of Least Developed Countries (LDCs), such as Bangladesh. To our knowledge, limited studies have yet examined user satisfaction and actual use behavior through the lens of IS success, Task Technology Fit (TTF), and UTAUT models in Bangladesh's e-health sector. This study is anticipated to provide an opportunity for additional investigation into the potential uses of blockchain in the medical field and other commercial sectors.
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Alberto, J., & Riza, F. (2023). Electrifying Consumer Choices: Unveiling the Road to Green Intentions and EV Adoption. Journal of Consumer Sciences, 8(3), 257-276. https://doi.org/10.29244/jcs.8.3.257-276
Almasarweh, M., Jawasreh, Z., Al-Ghasawneh, Y., Matalka, M., Al-Shuaibi, M., Kalbouneh, N., & Zoubi, M. (2023). The impacts of task technology fit, transparency, and supply chain agility on the blockchain adoption by SMEs in Jordan. International Journal of Data and Network Science, 7(3), 1303-1310. https://doi.org/10.5267/j.ijdns.2023.4.008
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Coppolino, L., D'Antonio, S., Mazzeo, G., Romano, L., & Campegiani, P. (2021). Facing the Blockchain Endpoint Vulnerability, an SGX-based Solution for Secure eHealth Auditing. ITASEC, https://ceur-ws.org/Vol-2940/paper25.pdf
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DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
Diputra, I., & Yasa, N. (2021). The influence of product quality, brand image, brand trust on customer satisfaction and loyalty. American International Journal of Business Management (AIJBM), 4(1), 25-34. https://www.aijbm.com/wp-content/uploads/2021/01/E412534.pdf
Efiloğlu Kurt, Ö. (2019). Examining an e-learning system through the lens of the information systems success model: Empirical evidence from Italy. Education and Information Technologies, 24(2), 1173-1184. https://doi.org/10.1007/s10639-018-9821-4
Everitt, B., & Dunn, G. (2001). Applied multivariate data analysis (Vol. 2). Wiley Online Library. https://doi.org/10.1002/9781118887486
Evwiekpaefe, A. E., Chiemeke, S. C., & Haruna, M. Z. (2018). Individual and organizational acceptance of technology theories and models: Conceptual gap and possible solutions. Pacific Journal of Science and Technology, 10(2), 189-197. https://www.researchgate.net/profile/Abraham-Evwiekpaefe/publication/371399391_Individual_and_Organizational_Acceptance_of_Technology_Theories_and_Models_Conceptual_Gap_and_Possible_Solutions/links/6481ee5ad702370600dc2537/Individual-and-Organizational-Acceptance-of-Technology-Theories-and-Models-Conceptual-Gap-and-Possible-Solutions.pdf
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.2307/3151312
Gan, C., Li, H., & Liu, Y. (2017). Understanding mobile learning adoption in higher education: An empirical investigation in the context of the mobile library. The Electronic Library, 35(5), 846-860. https://doi.org/10.1108/EL-04-2016-0093
Gligor, D., Feizabadi, J., Russo, I., Maloni, M. J., & Goldsby, T. J. (2020). The triple-a supply chain and strategic resources: developing competitive advantage. International Journal of Physical Distribution & Logistics Management, 50(2), 159-190. https://doi.org/10.1108/IJPDLM-08-2019-0258
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 213-236. https://doi.org/10.2307/249689
Griggs, K. N., Ossipova, O., Kohlios, C. P., Baccarini, A. N., Howson, E. A., & Hayajneh, T. (2018). Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. Journal of medical systems, 42, 1-7. https://doi.org/10.1007/s10916-018-0982-x
Hafizh, M. H. R., & Aswar, K. (2020). Empirical Study On Organizational Performance: The moderating Effect Of Organizational Culture. Journal of Economics Finance and Accounting, 7(3), 287-297. https://doi.org/10.17261/Pressacademia.2020.1295
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial management & data systems, 117(3), 442-458. https://doi.org/10.1108/IMDS-04-2016-0130
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Authors
BegumF., KhanR., MandalJ., KaiumM. A., RahmanM. S., & ZahanI. (2024). Unveiling End-users’ Satisfaction and Actual Use of Blockchain in e-Health: Empirical Evidence from Bangladesh. Journal of Consumer Sciences, 9(2), 163-184. https://doi.org/10.29244/jcs.9.2.163-184
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