Blockchain Adoption Readiness Assessment Framework for Health Professionals of Malaysian Public Hospitals

Ahmadi, H., Nilashi, M., Shahmoradi, L., & Ibrahim, O. (2017). Hospital Information System adoption: Expert perspectives on an adoption framework for Malaysian public hospitals. Computers in Human Behavior, 67, 161–189. https://doi.org/10.1016/j.chb.2016.10.023
Alazab, M., Alhyari, S., Awajan, A., & Abdallah, A. B. (2021). Blockchain technology in supply chain management: an empirical study of the factors affecting user adoption/acceptance. Cluster Computing, 24(1), 83–101. https://doi.org/10.1007/s10586-020-03200-4
Arias-Oliva, M., Pelegrín-Borondo, J., & Matías-Clavero, G. (2019). Variables influencing cryptocurrency use: A technology acceptance model in Spain. Frontiers in Psychology, 10(MAR), 1–13. https://doi.org/10.3389/fpsyg.2019.00475
Asadi, S., Hussin, A. R. C., & Saedi, A. (2016). Decision makers intention for adoption of Green Information Technology. 2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings, 91–96.
https://doi.org/10.1109/ICCOINS.2016.7783195
Asadi, S., Nilashi, M., Samad, S., Abdullah, R., Mahmoud, M., Alkinani, M. H., & Yadegaridehkordi, E. (2021). Factors impacting consumers' intention toward adoption of electric vehicles in Malaysia. Journal of Cleaner Production, 282, 124474. https://doi.org/10.1016/j.jclepro.2020.124474
Ben Arfi, W., ben Nasr, I., Khvatova, T., & ben Zaied, Y. (2021). Understanding acceptance of eHealthcare by IoT natives and IoT immigrants: An integrated model of UTAUT, perceived risk, and financial cost. Technological Forecasting and Social Change, 163(May), 120437. https://doi.org/10.1016/j.techfore.2020.120437
Toft, B. M., Schuitema, G., & Thøgersen, J. (2014). Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology. Applied Energy, 134(2014), 392–400. https://doi.org/10.1016/j.apenergy.2014.08.048
Caldarelli, A., Ferri, L., Ginesti, G., & Spanò, R. (2020). Understanding Blockchain Adoption in Italian Firms. Lecture Notes in Information Systems and Organisation, 38, 121–135. https://doi.org/10.1007/978-3-030-47355-6_9
Choi, D., Chung, C. Y., Seyha, T., & Young, J. (2020). Factors affecting organizations' resistance to the adoption of blockchain technology in supply networks. Sustainability (Switzerland), 12(21), 1–37. https://doi.org/10.3390/su12218882
Dalvi-Esfahani, M., Ramayah, T., & Rahman, A. A. (2017). Moderating role of personal values on managers' intention to adopt Green IS: Examining norm activation theory. Industrial Management and Data Systems, 117(3), 582–604. https://doi.org/10.1108/IMDS-02-2016-0049
de Groot, J., & Steg, L. (2009). Morality and pro-social behavior: The role of awareness, responsibility, and norms in the norm activation model. Journal of Social Psychology, 149(4), 425–449. https://doi.org/10.3200/SOCP.149.4.425-449
Dinev, T., Albano, V., Xu, H., D’Atri, A., & Hart, P. (2016). Individuals' attitudes towards electronic health records: A privacy calculus perspective. In Advances in healthcare informatics and analytics (pp. 19-50). Springer, Cham.
Dwivedi, Y. K., Rana, N. P., Tamilmani, K., & Raman, R. (2020). A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature. Current Opinion in Psychology, 36, 13–18.
https://doi.org/10.1016/j.copsyc.2020.03.008
Enaizan, O., Eneizan, B., Almaaitah, M., Al-Radaideh, A. T., & Saleh, A. M. (2020). Effects of privacy and security on the acceptance and usage of EMR: The mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked, 21(October), 100450. https://doi.org/10.1016/j.imu.2020.100450
Fan, W., Liu, J., Zhu, S., & Pardalos, P. M. (2020). Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS). Annals of Operations Research, 294(1–2), 567–592. https://doi.org/10.1007/s10479-018-2818-y
Francisco, K., & Swanson, D. (2018). The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency. Logistics, 2(1), 2.
https://doi.org/10.3390/logistics2010002
Gu, Z., & Wei, J. (2020). Empirical Study on Initial Trust of Wearable Devices Based on Product Characteristics. Journal of Computer Information Systems, 00(00), 1–9.
https://doi.org/10.1080/08874417.2020.1779150
Gupta, S., Gupta, S., Mathew, M., & Sama, H. R. (2020). Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework. Journal of Economic Studies. https://doi.org/10.1108/JES-06-2020-0285
Handayani, P. W., Hidayanto, A. N., Pinem, A. A., Sandhyaduhita, P. I., & Budi, I. (2018). Hospital information system user acceptance factors: User group perspectives. Informatics for Health and Social Care, 43(1), 84–107.
https://doi.org/10.1080/17538157.2016.1269109
Heidari, H. (2019). Evaluating the Factors Affecting Behavioral Intention in Using Blockchain Technology Capabilities as a Financial Instrument. 13(2), 195–219.
Hira, F. A., Khalid, H., Rasid, S. Z. A., Baskaran, S., & Moshiul, A. M. (2022). Blockchain Technology Implementation for Medical Data Management in Malaysia: Potential, Need and Challenges.
Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101(September 2015), 75–84.
https://doi.org/10.1016/j.ijmedinf.2017.02.002
Hsieh, H. L., Kuo, Y. M., Wang, S. R., Chuang, B. K., & Tsai, C. H. (2017). A study of personal health record user's behavioral model based on the PMT and UTAUT integrative perspective. International journal of environmental research and public health, 14(1), 8.
Huijts, N. M. A., Molin, E. J. E., & Steg, L. (2012). Psychological factors influencing sustainable energy technology acceptance: A review-based comprehensive framework. Renewable and Sustainable Energy Reviews, 16(1), 525–531.
https://doi.org/10.1016/j.rser.2011.08.018
Hummel, Awol, S. M., Birhanu, A. Y., Mekonnen, Z. A., Gashu, K. D., Shiferaw, A. M., Endehabtu, B. F., Kalayou, M. H., Guadie, H. A., & Tilahun, B. (2020). Health professionals' readiness and its associated factors to implement electronic medical record system in four selected primary hospitals in Ethiopia. Advances in Medical Education and Practice, 11, 147–154. https://doi.org/10.2147/AMEP.S233368
Hyde, P., Harris, C., & Boaden, R. (2013). Pro-social organisational behaviour of health care workers. International Journal of Human Resource Management, 24(16), 3115–3130. https://doi.org/10.1080/09585192.2013.775030
Jang, S. H., Kim, R. H., & Lee, C. W. (2016). Effect of u-healthcare service quality on usage intention in a healthcare service. Technological Forecasting and Social Change, 113, 396–403. https://doi.org/10.1016/j.techfore.2016.07.030
Jung, K. J., Park, J. B., Phan, N. Q., Bo, C., & Gim, G. Y. (2019). An international comparative study on the intension to using crypto-currency. In Studies in Computational Intelligence (Vol. 788). Springer International Publishing. https://doi.org/10.1007/978-3-319-98370-7_9
Kabir, M. R. (2020). Behavioural intention to adopt blockchain for a transparent and effective taxing system. In Journal of Global Operations and Strategic Sourcing (Vol. 14, Issue 1). https://doi.org/10.1108/JGOSS-08-2020-0050
Kamble, S., Gunasekaran, A., & Arha, H. (2019). Understanding the Blockchain technology adoption in supply chains-Indian context. International Journal of Production Research, 57(7), 2009–2033. https://doi.org/10.1080/00207543.2018.1518610
Khazaei, H. (2020). Integrating Cognitive Antecedents to UTAUT Model to Explain Adoption of Blockchain Technology Among Malaysian SMEs. JOIV?: International Journal on Informatics Visualization, 4(2). https://doi.org/10.30630/joiv.4.2.362
Kim, J. J., & Hwang, J. (2020). Merging the norm activation model and the theory of planned behavior in the context of drone food delivery services: Does the level of product knowledge really matter? Journal of Hospitality and Tourism Management, 42(June 2019), 1–11. https://doi.org/10.1016/j.jhtm.2019.11.002
Knauer, F., & Mann, A. (2020). What is in It for Me? Identifying Drivers of Blockchain Acceptance among German Consumers. The Journal of the British Blockchain Association, 3(1), 1–16. https://doi.org/10.31585/jbba-3-1-(1)2020
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.
Kumar, N. M., Mallick, P. K., Ullah, A., Azeem, M., Ashraf, H., Alaboudi, A. A., Humayun, M., & Jhanjhi, N. Z. (2021). Blockchain technology for security issues and challenges in IoT. Procedia Computer Science, 132, 1815–1823.
https://doi.org/10.1109/ACCESS.2021.3052850
Lam, M. K., Hines, M., Lowe, R., Nagarajan, S., Keep, M., Penman, M., & Power, E. (2016). Preparedness for eHealth: Health sciences students' knowledge, skills, and confidence. Journal of Information Technology Education: Research, 15(2016), 305–334. https://doi.org/10.28945/3523
Lee, C. C., Kriscenski, J. C., & Lim, H. S. (2019). AN EMPIRICAL STUDY OF BEHAVIORAL INTENTION TO USE BLOCKCHAIN. Journal of International Business Disciplines, 14 (1)(May), 1–21.
Lee, Y. P., Tsai, H. Y., & Ruangkanjanases, A. (2020). The determinants for food safety push notifications on continuance intention in an e-appointment system for public health medical services: The perspectives of utaut and information system quality. International Journal of Environmental Research and Public Health, 17(21), 1–15.
https://doi.org/10.3390/ijerph17218287
Lei, C. F., and Ngai, E. W. T. (2014). A research agenda on managerial intention to green it adoption: from norm activation perspective.
Lewicki, R. J., Tomlinson, E. C., & Gillespie, N. (2006). Models of interpersonal trust development: Theoretical approaches, empirical evidence, and future directions. Journal of management, 32(6), 991-1022.
Liebe, U., Naumann, E., & Tutic, A. (2019). Pro-social Behavior Across Professional Boundaries: Experimental Evidence From Hospitals. SAGE Open, 9(2).
https://doi.org/10.1177/2158244019846691
Maity, M., Bagchi, K., Shah, A., & Misra, A. (2019). Explaining normative behavior in information technology use. Information Technology and People, 32(1), 94–117. https://doi.org/10.1108/ITP-11-2017-0384
McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management Review, 23(3), 473–490. https://doi.org/10.5465/AMR.1998.926622
Nawaz, S. S., & Thowfeek, M. H. (2020). Blockchain technology adoption by chain professionals. International Journal of Psychosocial Rehabilitation, 24(1), 121–137. https://doi.org/10.37200/IJPR/V24I1/PR200113
Nuryyev, G., Wang, Y. P., Achyldurdyyeva, J., Jaw, B. S., Yeh, Y. S., Lin, H. T., & Wu, L. F. (2020). Blockchain technology adoption behavior and sustainability of the business in tourism and hospitality SMEs: An empirical study. Sustainability (Switzerland), 12(3). https://doi.org/10.3390/su12031256
Ofori, K. S., Boakye, K. G., Addae, J. A., Ampong, G. O. A., & Adu, A. S. Y. (2018). An empirical study on the adoption of consumer-to-consumer E-commerce: Integrating the UTAUT model and the initial trust model. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 250, Issue December). Springer International Publishing. https://doi.org/10.1007/978-3-319-98827-6_27
Queiroz, M. M., & Fosso Wamba, S. (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70–82.
https://doi.org/10.1016/j.ijinfomgt.2018.11.021
Ricciardi, L., Mostashari, F., Murphy, J., Daniel, J. G., & Siminerio, E. P. (2013). A national action plan to support consumer engagement via E-health. Health Affairs, 32(2), 376–384. https://doi.org/10.1377/hlthaff.2012.1216
Safi, S., Thiessen, T., & Schmailzl, K. J. G. (2018). Acceptance and resistance of new digital technologies in medicine: Qualitative study. JMIR Research Protocols, 7(12), 1–9. https://doi.org/10.2196/11072
Salem, S., & Ali, N. (2019). A Proposed Adoption Model for Blockchain Technology Using the Unified Theory of Acceptance and use of Technology ( UTAUT ). Open International Journal of Informatics, 7(2), 75–84.
Schwartz, S. H. (1977). Normative influence on altruism. In L. Berkowitz (Ed.). Advances in experimental social psychology (Vol. 10, pp. 221–279). New York: Academic Press.
Schwartz, S. H. (1992). Universals in the content and structure of values: theoretical advances and empirical tests in 20 countries. Advances in Experimental Social Psychology, 25, 1e65.
Shin, Y. H., Im, J., Jung, S. E., & Severt, K. (2018). The theory of planned behavior and the norm activation model approach to consumer behavior regarding organic menus. International Journal of Hospitality Management, 69(October 2017), 21–29.
https://doi.org/10.1016/j.ijhm.2017.10.011
Shrestha, A. K., & Vassileva, J. (2019). User acceptance of usable blockchain-based research data sharing system: An extended TAM-based study. Proceedings - 1st IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2019, 203–208. https://doi.org/10.1109/TPS-ISA48467.2019.00033
Sweis, R. (2015). An Investigation of Failure in Information Systems Projects: The Case of Jordan. Journal of Management Research, 7(1), 173.
https://doi.org/10.5296/jmr.v7i1.7002
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.
https://doi.org/10.1287/isre.6.2.144
Turner, P., Kushniruk, A., & Nohr, C. (2017). Are We There Yet? Human Factors Knowledge and Health Information Technology - the Challenges of Implementation and Impact. Yearbook of Medical Informatics, 26(1), 84–91. https://doi.org/10.15265/IY-2017-014
Udo, G., Bagchi, K., & Maity, M. (2016a). abstain from) pro-social, or anti-prosocial events (in the case of NAM) or use of a new technology (in the case of UTAUT). Given that DP is technology-based as well as an anti-prosocial episode, we believe that a model that inte- grates NAM and UTAUT (as s. Journal of Business Ethics, 135(3), 517–541. https://doi.org/10.1007/s10551-014-2484-1
Udo, G., Bagchi, K., & Maity, M. (2016b). Exploring Factors Affecting Digital Piracy Using the Norm Activation and UTAUT Models: The Role of National Culture. Journal of Business Ethics, 135(3), 517–541. https://doi.org/10.1007/s10551-014-2484-1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW. Inorganic Chemistry Communications, 67(3), 425–478. https://doi.org/10.1016/j.inoche.2016.03.015
Vining, J., Ebreo, A. (1992). Predicting recycling behavior from global and specific environmental attitudes and changes in recycling opportunities. J. Appl. Soc. Psychol. 22, 1580–1607.
Waisel, D. B., Ruben, M. A., Blanch-Hartigan, D., Hall, J. A., Meyer, E. C., & Blum, R. H. (2020). Compassionate and Clinical Behavior of Residents in a Simulated Informed Consent Encounter. Anesthesiology, 132(1), 159–169.
https://doi.org/10.1097/ALN.0000000000002999
Wamba, S. F., & Queiroz, M. M. (2019). The role of social influence in blockchain adoption: The Brazilian supply chain case. IFAC-PapersOnLine, 52(13), 1715–1720. https://doi.org/10.1016/j.ifacol.2019.11.448
Wang, Z., Ali, S., Akbar, A., & Rasool, F. (2020). Determining the influencing factors of biogas technology adoption intention in Pakistan: The moderating role of social media. International Journal of Environmental Research and Public Health, 17(7). https://doi.org/10.3390/ijerph17072311
Wanitcharakkhakul, L., & Rotchanakitumnuai, S. (2017). Blockchain technology acceptance in electronic medical record system. Proceedings of the International Conference on Electronic Business (ICEB), 2017-Decem, 53–58.
Wong, L. W., Tan, G. W. H., Lee, V. H., Ooi, K. B., & Sohal, A. (2020). Unearthing the determinants of Blockchain adoption in supply chain management. International Journal of Production Research, 58(7), 2100–2123.
https://doi.org/10.1080/00207543.2020.1730463
Yang, C. S. (2019). Maritime shipping digitalization: Blockchain-based technology applications, future improvements, and intention to use. Transportation Research Part E: Logistics and Transportation Review, 131(July), 108–117.
https://doi.org/10.1016/j.tre.2019.09.020
Yusof, H., Munir, F. M. B. M., Zolkaply, Z., Li Jing, C., Hao, Y. C., Ying, S. D., Zheng, S. L., Seng, Y. L., & Leong, K. T. (2018). Behavioral Intention to Adopt Blockchain Technology: Viewpoint of the Banking Institutions in Malaysia. International Journal of Advanced Scientific Research and Management, 3(10), 1–6. www.ijasrm.com
Zavolokina, L., Zani, N., & Schwabe, G. (2020). Designing for Trust in Blockchain Platforms. IEEE Transactions on Engineering Management.
Zhang, T., Tao, D., Qu, X., Zhang, X., Zeng, J., Zhu, H., & Zhu, H. (2020). Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation Research Part C: Emerging Technologies, 112(February), 220–233. https://doi.org/10.1016/j.trc.2020.01.027.

In-Text Citation: (Hira et al., 2022)
To Cite this Article: Hira, F. A., Khalid, H., Rasid, S. Z. A., & Moshiul, A. M. (2022). Blockchain Adoption Readiness Assessment Framework for Health Professionals of Malaysian Public Hospitals. International Journal of Academic Research in Business and Social Sciences, 12(5), 1-26.

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