Assessing the perceived usability of an intelligent contact tracing app to prevent the spread of COVID-19 using SUS and TAM: be aware Bahrain

References

• Akdur, G., Mehmet Nafiz Aydin, M., & Akdur, G. (2020, October 2). Adoption of mobile health apps in dietetic. JMIR Mhealth Uhealth, 8(10), e16911. https://doi.org/10.2196/16911
   PubMed Web of Science ®Google Scholar
• Altmann, S., Milsom, L., Zillessen, H., Blasone, R., Gerdon, F., Ruben Bach, R., Kreuter, F., Nosenzo, D., Toussaert, S., & Abeler, J. (2020). Acceptability of app-based contact tracing for. JMIR Mhealth Uhealth, 8(8), e19857. https://doi.org/10.2196/19857
   PubMed Web of Science ®Google Scholar
• Bahrain eGovernment (2021). Digital skills and knowledge creating. www.bahrain.bh. November 10, 2021
   Google Scholar
• Bangor, A., Kortum, T., & Miller, T. (2009). Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of Useability Studies, 4(3), 114–123.
   Google Scholar
• Brooke, J. (1996). SUS-A quick and dirty usability scale. Usability Evaluation in Industry, 189(194), 4–7.
   Google Scholar
• Connor, M., Conboy, M., & Dennehy, D. (2022, March). COVID-19 affected remote workers: A temporal analysis of information system development during the pandemic. Journal of Decision Systems, 31(3), 207–233. https://doi.org/10.1080/12460125.2021.1899104
   Web of Science ®Google Scholar
• Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• Diefenbach, S., Kolb, N., & Hassenzahl, M. (2014). The “Hedonic” in human-computer interaction: History, contributions, and future research directions. Proceedings of the 2014 Conference on Designing Interactive Systems – DIS 14 (pp. 305–314). New York: ACM.
   Google Scholar
• Douglas, B., & Thomas, W. (2014). Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36. https://doi.org/10.1002/job.1960
   Web of Science ®Google Scholar
• Dowthwaite, J., Fischer, J., Vallejos, E., Portillo, V., Nichele, E., Goulden, M., & McAuley, D. (2021, September 17). Public adoption of and trust in the NHS COVID-19 contact tracing app in the United Kingdom: quantitative online survey study. Journal of Medical Internet Research, 23(9), e29085. https://doi.org/10.2196/29085
   PubMed Web of Science ®Google Scholar
• Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis (5th ed.). Prentice Hall International Inc.
   Google Scholar
• Horstmann, K., Buecker, S., Krasko, J., Kritzler, S., & Terwiel, S. (2020, February 1). Who does or does not use. European Journal of Public Health, 31(1), 49–51. https://doi.org/10.1093/eurpub/ckaa239
   Web of Science ®Google Scholar
• Iivari, N., Sharma, S., & Olkkonen, L.V. (2020). Digital transformation of everyday life – How COVID-19 pandemic transformed the basic education of the young generation and why information management research should Care? International Journal of Information Management, 55, 102183. https://doi.org/10.1016/j.ijinfomgt.2020.102183
   PubMed Web of Science ®Google Scholar
• Kaya, A., Ozturk, R., & Gumussoy, C. (2019). Usability Measurement of Mobile Applications with System Usability Scale (SUS). In Global Joint (Ed.), Industrial engineering in the big data era (pp. 389–400). Springer.
   Google Scholar
• Kemp, S. (2021). Digital 2021:Bahrain. Retrieved From: Digital in Bahrain: All the Statistics You Need in 2021 — DataReportal – Global Digital Insights. February 11, 2021.
   Google Scholar
• Lazin, C.S., Ismail, N.D., & Tazilah, M.D. (2021, April). Application of Technology Acceptance Model (TAM) towards online learning during Covid-19 pandemic: Accounting students perspective. International Journal of Business, Economics and Law, 24(1), 13–20.
   Google Scholar
• Leming Zhou, L., Bao, J., Setiawan, M., Saptono, A., & Parmanto, B. (2019, April 4). The mHealth App Usability Questionnaire (MAUQ): Development and validation study. JMIR Mhealth Uhealth, 7(4). https://doi.org/10.2196/11500)
   Web of Science ®Google Scholar
• Lewis, R. (1995). IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. International Journal of Human-Computer Interaction, 7(1), 57–78. https://doi.org/10.1080/10447319509526110
   Web of Science ®Google Scholar
• Lewis, J.R. (2014). Usability: Lessons learned and yet to be learned. International Journal of Human-Computer Interaction, 30(9), 1148–1156. https://doi.org/10.1080/10447318.2014.930311
   Web of Science ®Google Scholar
• Lewis, J.R. (2018). The system usability scale: past, present, and future. International Journal of Human-Computer Interaction, 34(7), 557–590. https://doi.org/10.1080/10447318.2018.1455307
   Web of Science ®Google Scholar
• Li, Q. (2020). Healthcare at your fingertips: The acceptance and adoption of mobile medical treatment services among Chinese users. International Journal of Environmental Research and Public Health, 17(18), 6895. https://doi.org/10.3390/ijerph17186895
   PubMed Web of Science ®Google Scholar
• Li, T., Cobb, C., Yang, J., Baviskar, S., Agarwal, Y., Li, B., Bauer, L., & Hong, J. (2021). What makes people install a COVID-19 contact-tracing app? understanding the influence of app design and individual difference on contact-tracing app adoption intention. Preprint submitted to arXiv. Carnegie Mellon University.
   Google Scholar
• Liao, S., Hong, J., Wen, M., Pan, Y., & Wu, Y. (2018). Applying Technology Acceptance Model (TAM) to explore users’ behavioral intention to adopt a performance assessment system for e-book Production. EURASIA Journal of Mathematics, Science and Technology Education, 14(10), em1601. https://doi.org/10.29333/ejmste/93575
   Google Scholar
• Lin, S., Juan, P., & Lin, S. (2020, November). A TAM framework to evaluate the effect of smartphone application on tourism information search behavior of foreign independent travelers. Sustainability, MDPI, 12(22), 1–15. https://doi.org/10.3390/su12229366
   PubMed Web of Science ®Google Scholar
• Maramba, I., Chatterjee, A., & Newman, C. (2019). Methods of usability testing in the development of ehealth applications: A scoping review. International Journal of Medical Informatics. Elsevier, 126, 95–104. https://doi.org/10.1016/j.ijmedinf.2019.03.018
   PubMed Web of Science ®Google Scholar
• Metelmann, B., Metelmann, C., Schuffert, L., Hahnenkamp, K., & Brinkrolf, P. (2018). Medical correctness and user friendliness of available apps for cardiopulmonary resuscitation: Systematic search combined with guideline adherence and usability evaluation. JMIR Mhealth and Uhealth, 6(11), 1–12. https://doi.org/10.2196/mhealth.9651
   Web of Science ®Google Scholar
• Mohamed, A., Tawfik, H., Al-Jumeily, D., & Norton, L., (2011). MoHTAM: A technology acceptance model for mobile health applications. Proceeding of Developments in E-systems Engineering. IEEE. 6-8 December. https://doi.org/10.1109/DeSE.2011.79.
   Google Scholar
• Nazrul Islam, M., Karim, M., Inan, T., Najmul Islam, A., Abu Ward, I., Abu Khader, K., Isbeih, M., Frost, M., Baniode, M., Hijaz, T., Awwad, T., Rabah, Y., & Frøen, J.F. (2020). Investigating usability of mobile health applications in Bangladesh. BMC Medical Informatics and Decision Making, 20(19), 1–13. https://doi.org/10.1186/s12911-019-1002-x
   PubMedGoogle Scholar
• Osman, M., Fenton, N.E., McLachlan, S., Lucas, P., Dube, K., Hitman, G., Kyrimi, E., & Neil, M. (2020). The thorny problems of COVID-19 contact tracing apps: The need for a holistic approach. Journal of Behavioral Economics for Policy, 4[ COVID-19 Special Issue], 57–61.
   Google Scholar
• PAHO. (2021). Contact tracing in the context of Covid-19 in the region of the America. In Complement to the WHO Interim Guidance on Contact Tracing.
   Google Scholar
• Pal, D., & Vanijja, V. (2020). Perceived usability evaluation of microsoft teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India. Children and Youth Services Review, 119, 105535. December 2020. https://doi.org/10.1016/j.childyouth.2020.105535
   PubMed Web of Science ®Google Scholar
• Palos-Sanchez, P., Saura, J., Martin, R.M., & Aguayo-Camacho, M. (2021, September 9). Toward a better understanding of the intention to use mhealth apps: Exploratory study. JMIR Mhealth Uhealth , 9(9), e27021. https://doi.org/10.2196/27021
   PubMed Web of Science ®Google Scholar
• Park, E. S., & Park, M. S. (2020). Factors of the technology acceptance model for Construction IT. Applied Science, 10(22), 8299. https://doi.org/10.3390/app10228299
   Google Scholar
• Peres, C., Pham, T., & Phillips, R. (2013). Validation of the system usability scale (SUS): SUS in the wild. Proceeding of the Human Factors Ergonomics Society, 57(1), 192–196. https://doi.org/10.1177/1541931213571043
   Google Scholar
• Redmiles, R. M. (2020). User Concerns & Tradeoffs in Technology facilitated COVID-19 Response. Digital Government: Research and Practice, 2 (1), 1–12. Dec 2020. https://doi.org/10.1145/3428093.
   Google Scholar
• Reichheld, F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46–54.
   PubMed Web of Science ®Google Scholar
• Sauro, J., & Lewis, R. (2016). Quantifying the user experience: Practical statistics for user research (2nd ed., Morgan Kaufmann. https://doi.org/10.1016/C2010-0-
   Google Scholar
• Shishah, W., & Alhelaly, S. (2021, March). User experience of utilizing contactless payment technology in Saudi Arabia during the COVID-19 pandemic. Journal of Decision Systems, 30(2–3), 282–299. https://doi.org/10.1080/12460125.2021.1890315
   Web of Science ®Google Scholar
• song, Z., Wang, C., & Bergmann, L. (2020). China’s prefectural digital divide: Spatial analysis and multivariate determinants of ICT diffusion. International Journal of Information Management, 52(C), 102072. https://doi.org/10.1016/j.ijinfomgt.2020.102072
   Google Scholar
• Soper, D., Demirkan, H., & Schlicher, J. (2022, March). Analytics and IT in the response to COVID-19: A research framework and lessons for the future. Journal of Decision Systems, 31(1–2), 7–18. https://doi.org/10.1080/12460125.2021.1890315
   Web of Science ®Google Scholar
• Srivastava, S.C., & Shainesh, G. (2015). Bridging the service divide through digitally enabled service innovations: Evidence from Indian healthcare service providers. MIS Quarterly, 39(1), 245–267. https://doi.org/10.25300/MISQ/2015/39.1.11
   Web of Science ®Google Scholar
• Storm, M., Fjellsa, M., Skjaerpe, J., Myers, A., Bartels, S., & Fortuna, K. (2021). Usability testing of a mobile health application for self-management of serious mental illness in a norwegian community mental health setting. International Journal of Environmental Research and Public Health, 18(16), 8667. https://doi.org/10.3390/ijerph18168667
   PubMed Web of Science ®Google Scholar
• Taherdoost, H. (2016). Validity and reliability of the research instrument; How to test the validation of a questionnaire/survey in a research. International Journal of Academic Research in Management, 5(3), 28–36. https://doi.org/10.2139/ssrn.3205040
   Google Scholar
• Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
   PubMedGoogle Scholar
• Taylor, S., & Todd, P.A. (1995). Assessing IT usage: Taylor. MIS Quarterly, 19(4), 561–570. https://doi.org/10.2307/249633
   Web of Science ®Google Scholar
• Viswanath, V., & David, F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Viswanath, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a Unified View. MIS Quarterly, 27(3), 425‐478. https://doi.org/10.2307/30036540
   Web of Science ®Google Scholar
• WHO. (2021) . Contact tracing in the context of COVID-19. Interim guidance. February.
   Google Scholar
• Yang, K., Deng, J., Wang, L., Jiang, S., Lu, R., Liu, Z., & Tuo, X. (2021, December). Tracing management and epidemiological characteristics of covid-19 close contacts in cities around Chengdu, China. Front. Public Health, 9. https://doi.org/10.3389/fpubh.2021.645798
   Web of Science ®Google Scholar