Intention to use the innovative Covid-19 technology “TheSafeCheck” Solution

PC Lai

Abstract


This paper summarizes an explorative study of the design as well as the perceived risk that contributes to users’ adoption of an innovative Covid-19 solution technology known as the “TheSafeCheck” in the ASEAN region. The attempt to survey these areas using the stimulus research model is a novel approach focused on adoption factors of this innovative technology as “TheSafecheck” focuses on the novel design and perceived risk. The empirical results from the quantitative analysis suggest that design, perceived risk, perceived usefulness as well as perceived ease of use are significant factors that contribute to users’ intention to utilize this novel Covid-19 technology “TheSafecheck” Solution. Companies will be able to utilize this study information for deploying the products and services to meet the users’ intention to use the system while also fulfilling their objective of corporate social responsibility.

Keywords


ASEAN, Stimulus Research Model, Users’ Intention to use, Innovation, Solution

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References


Ahmet A, Yanartaş, M (2020), An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS), Computers in Human Behavior Reports, Volume 2

Ahn, T., Ryu, S., and Han, I. “The impact of the online and offline features on the user acceptance of internet shopping malls”. Electronic Commerce Research and Applications, 3 (4), 405-420. (2004).

Al-alak, B. A. and Alnawas, I. “Evaluating the effect of marketing activities on relationship quality in the banking sector.” International Journal of Marketing Studies, 21, 78–91. (2010).

Anthony NTR, Rosliza A. M, Lai P C (2019). The Literature Review of the Governance Frameworks in Health System. Journal of Public Administration and Governance 9 (3), 252-260

Bagozzi, R.P. (2007) The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. Journal of the Association for Information Systems, 8, 244-254.

Baron, R. M. and Kenny, D. A. (1986). The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations, Journal of Personality and Social Psychology, 51(6), 1173-1182.

Byrne, B. M. Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming. New Jersey: Lawrence Erlbaum Associates. (1998).

Calvo-Porral, C. and Otero-Prada, L. (2020), “A profile of mobile service users in a mature market: from uninvolved pragmatics to potential switchers”, Spanish Journal of Marketing – ESIC,

Camilleri, M. A, Falzon, L, (2020), Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT), Spanish Journal of Marketing – ESIC, Emerald, 24, 1-21

Cheah, K. L. “Payment Systems in Malaysia, Payment Systems Policy Department”, Bank Negara Malaysia. (2011).

Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Vespignani, A. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, 368(6489), 395–400. https://doi.org/10.1126/science.aba9757

Chong, A. Y. L., and Chan, F. T. S., Understanding the acceptance of RFID in the HealthCare industry: Extending the TAM model. Decision-making for supply chain integration: supply chain integration, p. 105-122. London; New York: Springer, 2012

Cohen, P.N. “Black concentration effects on black-white and gender inequality: Multilevel analysis for US metropolitan areas”. Social Forces, 77(1), 207–229. (1998).

Cooper, D. R., and Schindler, P. S., Business research methods (10th ed.). New York: McGraw-Hill. (2008).

Davis, F.D. A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts, United States: Sloan School of Management, Massachusetts Institute of Technology. (1986).

Davis, F. D. “Perceived usefulness, perceived ease of use, and user acceptance of information technology.” MIS Quarterly, 13(3), 319-340. (1989).

Davis, F. D., and V. Venkatesh. “A critical assessment of potential measurement biases in the technology acceptance model: Three experiments Internet.” J. Human-Comput. Stud. 45 19–45. (1996).

Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Information Systems Research, 13(3), 316–333. doi:10.1287/isre.13.3.316.77

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719–734

Elkhani, N, Soltani, S. & Nazir Ahmad, M. (2014),"The effects of transformational leadership and ERP system self-efficacy on ERP system usage", Journal of Enterprise Information Management, Vol. 27 Iss 6 pp. 759-785

Fabeil, N. F., Pazim, K. H., & Langgat, J. (2020). The Impact of Covid-19 Pandemic Crisis on Micro-Enterprises: Entrepreneurs’ Perspective on Business Continuity and Recovery Strategy. Journal of Economics and Business, 3(2).

Hair, J., Black, W., Babin, B. Y. A., Anderson, R., & Tatham, R. (2010). Multivariate Data Analysis (7th ed.). New Jersey: Pearson Prentice Hall.

Hamdan N. H, Kassim S. H, Lai, P C, (2021), The COVID-19 Pandemic crisis on micro-entrepreneurs in Malaysia: Impact and mitigation approaches. Journal of Global Business and Social Entrepreneurship (GBSE) 7 (20), 52-64

Harrison, R., Scheela, W, P C, Lai, Vivekarajah, S. (2018) Beyond institutional voids and the middle income trap? The emerging business angel market in Malaysia, Asia Pacific Journal of Management. 1-27.

Hayes, A. F. & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67, 451-470

Henderson, R. and Divett., M., J. “Perceived usefulness, ease of use and electronic supermarket use.” International Journal of Human-Computer Studies, 59, 383-395. (2003).

Holden, R. J., & Karsh, B. T. (2010). The Technology Acceptance Model: Its past and its future in health care. In Journal of Biomedical Informatics (Vol. 43, Issue 1, pp. 159–172).

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55

International Air Transport Association. IATA Economics' Chart of the Week: return to air travel expected to be slow. In: IATA Economics Report (2020). Available online at: https://www.iata.org/en/iata-repository/publications/economic-reports/return-to-air-travel-expected-to-be-slow (Access 15th May 2020)

James, L. R. and Brett, J. M. (1984), Mediators, Moderators, and Tests for Mediation, Journal of Applied Psychology, 69(2), 307-321.

Kerres, M (2020), Against all odds: education in Germany coping with Covid-19, Postdigital Sci. Edu. pp. 1-5

Lai, P. C. SMART LIVING for SMART CITIES @ the palm of your hand, ResearchAsia (2015).

Lai, P. C. SMART HEALTHCARE @ the palm of our hand, ResearchAsia (2016).

Lai, P. C. (2018), Single platform E-payment Consumers’ intention to use. Journal of Information Technology Management. 29 (2), 22-28

Lai, P. C., (2018), Research, Innovation and Development Strategic Planning for Intellectual Property Management, Economic Alternatives. 12 (3), 303-310

Lai, P. C., (2019) Factors That Influence the tourists' or Potential Tourists' Intention to Visit and the Contribution to the Corporate Social Responsibility Strategy for Eco-Tourism. International Journal of Tourism and Hospitality Management in the Digital Age. 3 (2) 1-21

Lai, P. C. (2020). Intention to use a drug reminder app: a case study of diabetics and high blood pressure patients SAGE Research Methods Cases. https://dx.doi.org/ 10.4135/9781529744767

Lai P. C. & Zainal A. A., (2015). Consumers’ Intention to Use a Single Platform E-Payment System: A Study Among Malaysian Internet and Mobile Banking Users. Journal of Internet Banking and Commerce. (20) (1) 1-13.

Lai P. C. & Zainal A.A, (2015). Perceived Risk as an Extension to TAM Model: Consumers’ Intention To Use A Single Platform E-Payment. Australia Journal Basic and Applied Science, 9(2): 323-330.

Lai P C, Scheela, W, (2018) Convergence of technology in the E-commerce World and Venture Capital Landscape: South East Asia, Global Entrepreneurship and New Venture Creation in the Sharing Economy. IGI-Global, 149-168

Lai, P. C., Lim, C S, (2019), The Effects of Efficiency, Design and Enjoyment on Single Platform E-payment Research in Business and Management 6 (2), 19-34

Lai, P. C., Toh, E. B. H. & Alkhrabsheh, A. A. (2020), Empirical Study of Single Platform E-Payment in South East Asia, Strategies and Tools for Managing Connected Consumers, 252-278

Lai, P. C., & Liew, E. J. (2021). Towards a Cashless Society: The Effects of Perceived Convenience and Security on Gamified Mobile Payment Platform Adoption. Australasian Journal of Information Systems, 25. https://doi.org/10.3127/ajis.v25i0.2809

Lai, P C, Tong, D L, (2022) An Artificial Intelligence-Based Approach to Model User Behavior on the Adoption of E-Payment. Handbook of Research on Social Impacts of E-Payment and Blockchain. 1-15, IGI Global

Lee, Y., Kozar, K. A., and Larsen, K. R. T. “The technology acceptance model; past, present and future.” Communication of AIS, 12 (50), 752-780. (2003).

Lee, W., & Shin, S. (2019). An Empirical Study of Consumer Adoption of Internet of Things Services. Internation Journal of Engineering and Technology Innovation

Lin, J. and Hsieh, P., (2006). The role of technology readiness in customers’ perception and adoption of selfservice technologies, International Journal of Service Industry Management, 17, 497-517

Liu, Y., Gayle, A. A., Wilder-Smith, A., & Rocklöv, J. (2020). The reproductive number of COVID-19 is higher compared to SARS coronavirus. Journal of Travel Medicine, 27(2), 1–6. https://doi.org/10.1093/jtm/taaa021

Malatjia, W. J, Eck, R. V, Zuva, T, (2020), Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM). Adv. Sci. Technol. Eng. Syst. J. 5(6), 113-117

Muniruddeen, L. ‘‘An Examination of Individual’s Perceived Security and Privacy of the Internet in Malaysia and the Influence of This on Their Intention to Use E-Commerce: Using An Extension of the Technology Acceptance Model,’’ Journal of Internet Banking and Commerce, 12(3), 1–26 (2007).

Mathieson, K. “Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior.” Information Systems Research, 2(3), 173-191. (1991).

Moon, J., & Kim, Y. (2001). Extending the TAM for a world wide web context. Journal of Information & Management Science, 27(1), 15–22.

Oppenheim, A. N. (1992). Questionnaire, design, interviewing and attitude measurement. London: Pinter Pub Ltd.

Peeri, N. C., Shrestha, N., Rahman, M. S., Zaki, R., Tan, Z., Bibi, S., Haque, U. (2020). The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned? International Journal of Epidemiology.

Pelaez, A., Chen, C., Chen, Y.X. and Pelaez, A. (2019), “Effects of perceived risk on intention to purchase: a meta-analysis”, Journal of Computer Information Systems, Vol. 59 No. 1, pp. 73-84,

Sekaran, U. & Bougie, R. (2013), Research Methods for Business: A Skill-Building Approach. 7th ed. U. S. A.: John Wiley and Sons, Inc.

Shadish, W. R., and Sweeney, R. B. (1991). Mediators and Moderators in Meta-Analysis: There’s a Reason We Don’t Let Dodo Birds Tell Us Which Psychotherapies Should Have Prizes, Journal of Consulting and Clinical Psychology, 59, 883–893

Shen, J., (2012). “Social Comparison, Social Presence, and Enjoyment in the acceptance of Social Shopping Websites”. Journal of Electronic Commerce Research, 13 (3), 198-212

Shih, H. P. ‘‘Extended technology acceptance model of Internet utilization behavior,’’ Information and Management, 41(6), 719–729 (2004).

Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology and Marketing.

Smith, W., & Freedman, D. (2020). Isolation, quarantine, social distancing and community containment: pivotal role for old- style public health measures in the novel coronavirus (2019-nCoV) outbreak. Journal of Travel Medicine, 27(2), taaa020.

Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al-Jabir, A. Agha, R. (2020). World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery, 76(February), 71–76. https://doi.org/10.1016/j.ijsu.2020.02.034

Sun, H., and Zhang, P. ‘‘Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach 1,’’ Journal of the Association for Information Systems, 7(9), 618–645 (2006).

Sungjun J, Kim J. S. & Zemke D M V (2020) Effects of Social Influence and Perceived Enjoyment on Kiosk Acceptance: A Moderating Role of Gender, International Journal of Hospitality & Tourism Administration,

Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics. Boston: Pearson Education Inc.

Tefertiller, A. (2020), “Cable cord-cutting and streaming adoption: advertising avoidance and technology acceptance in television innovation”, Telematics and Informatics, Vol. 51, doi: 10.1016/j.tele.2020.101416.

TheCheck, (2020). How “TheSafeCheck” Solution work in a Covid-19 scenario?

Trinh, H.N., Tran, H.H. and Vuong, D.H.Q. (2020), "Determinants of consumers’ intention to use credit card: a perspective of multifaceted perceived risk", Asian Journal of Economics and Banking, Vol. 4 No. 3, pp. 105-120.

Troise, C. and Camilleri, M.A. (2020), “The use of digital media for marketing, CSR communication and stakeholder engagement”, in Camilleri, M.A. (Ed.), Strategic Corporate Communication in the Digital Age, Emerald, Bingley.

UNESCO, UNESCO Covid-19 Educational Disruption and Response (2020)

Venkatesh, V., Speier, C., and Morris, M. ‘‘User acceptance enablers in individual decision-making about technology: Toward an integrated model,’’ Decision Sciences, 33(2), 297–316 (2002)

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

Wang et al., C.J. Wang, C.Y. Ng, R.H. Brook (2020). Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing, JAMA, 323 (14) (2020), pp. 1341-1342

Wang, Y. S., Wang, Y. M., Lin, H. H., and Tang, T. I. (2003) ‘‘Determinants of user acceptance of internet banking: An empirical study,’’ International Journal of Service Industry Management, 14(5), 501–519

WHO (2019). World Health Organization (2019), Global Preparedness Monitoring Board. A world at Risk: Annual Report on Global Preparedness for Health Emergencies. Geneva:

WHO. (2020). World Health Organisation (2020). Coronavirus disease (Covid-2019) situation reports. Retrieved from https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/

Winter, J, Battisti, S, Burström, T, and Luukkainen, S (2018), Exploring the Success Factors of Mobile Business Ecosystems, International Journal of Innovation and Technology ManagementVol. 15, No. 03, 1850026

Wortley, D. J., Lai, P. C., (2017) The Impact of Disruptive Enabling Technologies on Creative Education, 3rd International Conference on Creative Education, Mar 3-4

Yamey G, Schäferhoff M, Aars OK, Bloom B, Carroll D, Chawla M, et al. (2017) Financing of international collective action for epidemic and pandemic preparedness. Lancet Global Health. 5:e742–4.

Yu, Z. (2020). Extending the Learning Technology Acceptance Model of WeChat by Adding New Psychological Constructs. Journal of Educational Computing Research, 58(6), 1121–1143.

Zhao, j. Wang, J. (2020) Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model. Int. J. Environ. Res. Public Health, 17, 1501; doi:10.3390/ijerph17051501




DOI: http://dx.doi.org/10.4301/S1807-1775202219016

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