Does knowledge matter? The role of m-Health literacy to the acceptance of m-Health applications
##plugins.themes.academic_pro.article.main##
Author
-
Doan Thi Lien Huong, Tran Dinh Long
Từ khóa:
Tóm tắt
With the proliferation of the Internet and wireless technology in many areas of people's life; the use of mobile phones; especially smartphones for health practices and information (mHealth) has increasingly been prevalent. Based on Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT); this study examined the role of mHealth literacy and other factors toward the adoption of wellness apps among the users in Danang city. The results confirmed the impact of mHealth Literacy on (1) intention to use health apps (2) the perceived usefulness and (3) the perceived ease of use. While the perceived usefulness and the perceived ease of use are found to exert influence on the intention of use; the role of privacy and security concerns on intention to use was rejected.
Tài liệu tham khảo
-
[1] WHO, “Global diffusion of eHealth: Making universal health coverage achievable”, 2016.
[2] WeareSocial-Hootsuite, “Digital 2021 Global Overview Report”, 2021.
[3] N. D. Berkman, T. C. Davis, and L. McCormack, “Health literacy: what is it?”, J. Health Commun., vol. 15 Suppl 2, pp. 9–19, 2010.
[4] D. J. Wantland, C. J. Portillo, W. L. Holzemer, R. Slaughter, and E. M. McGhee, “The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes.”, J. Med. Internet Res., vol. 6, no. 4, p. e40, Nov. 2004.
[5] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models”, Manage. Sci., vol. 35, no. 8, pp. 982–1003, Aug. 1989.
[6] I. Ajzen and M. Fishbein, Understanding attitudes and predicting social behavior. Prentice-Hall, 1980.
[7] T. T. C. Lin et al., “Understanding the Relationships between mHealth Apps ’ Characteristics, Trialability, and mHealth Literacy Understanding the Relationships between mHealth Apps ’ Characteristics, Trialability, and mHealth Literacy”, J. Health Commun., vol. 00, no. 00, pp. 1–9, 2017.
[8] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace”, J. Appl. Soc. Psychol., vol. 22, no. 14, pp. 1111–1132, 1992.
[9] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Q., vol. 13, pp. 319–340, 1989.
[10] E. Van Kemenade, M. Pupius, and T. W. Hardjono, “More Value to Defining Quality”, Qual. High. Educ., vol. 14, no. 2, pp. 175–185, Jul. 2008.
[11] V. Venkatesh, C. Speier, and M. G. Morris, “User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model”, Decis. Sci., vol. 33, no. 2, pp. 297–316, Mar. 2002.
[12] I.-L. Wu and J.-L. Chen, “An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study”, Int. J. Hum. Comput. Stud., vol. 62, no. 6, pp. 784–808, Jun. 2005.
[13] B. Wixom and P. Todd, “A theoretical integration of user satisfaction and technology acceptance”, Inf. Syst. Res., 2005.
[14] C. D. Norman and H. A. Skinner, “eHEALS: The eHealth Literacy Scale”, J. Med. Internet Res., vol. 8, no. 4, p. e27, Nov. 2006.
[15] E. Vance Wilson and N. K. Lankton, “Modeling patients’ acceptance of provider-delivered E-health”, J. Am. Med. Informatics Assoc., vol. 11, no. 4, pp. 241–248, Jul. 2004.
[16] A. Alshahrani, D. Stewart, and K. MacLure, “A systematic review of the adoption and acceptance of eHealth in Saudi Arabia: Views of multiple stakeholders”, Int. J. Med. Inform., vol. 128, pp. 7–17, 2019.
[17] M. Mackert, A. Mabry-Flynn, S. Champlin, E. E. Donovan, and K. Pounders, “Health Literacy and Health Information Technology Adoption: The Potential for a New Digital Divide”, J Med Internet Res, vol. 18, no. 10, p. e264, 2016.
[18] A. Platt, C. Outlay, P. Sarkar, and S. Karnes, “Evaluating User Needs in Wellness Apps”, Int. J. Human–Computer Interact., vol. 32, no. 2, pp. 119–131, Feb. 2016.
[19] K. G. Giota and G. Kleftaras, “Mental Health Apps: Innovations, Risks and Ethical Considerations”, E-Health Telecommun. Syst. Networks, vol. 03, no. 03, pp. 19–23, 2014.
[20] A. A. Atienza et al., “Consumer Attitudes and Perceptions on mHealth Privacy and Security: Findings From a Mixed-Methods Study”, J. Health Commun., vol. 20, no. 6, pp. 673–679, 2015.
[21] R. Agarwal and E. Karahanna, “Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage”, Manag. Inf. Syst. Q., vol. 24, no. 4, Dec. 2000.
[22] V. Venkatesh and F. D. Davis, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies”, Manage. Sci., vol. 46, no. 2, pp. 186–204, 2000.
[23] S. Dünnebeil, A. Sunyaev, I. Blohm, J. M. Leimeister, and H. Krcmar, “Determinants of physicians’ technology acceptance for e-health in ambulatory care”, Int. J. Med. Inform., vol. 81, no. 11, pp. 746–760, Nov. 2012.
[24] M. Sarstedt, C. M. Ringle, D. Smith, R. Reams, and J. F. Hair, “Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers”, J. Fam. Bus. Strateg., vol. 5, no. 1, pp. 105–115, Mar. 2014.
[25] W. W. Chin and P. A. Todd, “On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution”, MIS Q., vol. 19, no. 2, p. 237, Jun. 1995.
[26] J. F. Hair, C. M. Ringle, and M. Sarstedt, “PLS-SEM: Indeed a Silver Bullet”, J. Mark. Theory Pract., vol. 19, no. 2, pp. 139–152, Apr. 2011.
[27] C. Fornell and D. Larcker, “A second generation of multivariate analysis: Classification of methods and implications for marketing research”, Rev. Mark., vol. 51, pp. 407–450, 1987.
[28] W. Chin, “The Partial Least Squares Approach for Structural Equation Modeling”, in Modern Methods for Business Research, GA Marcoul., London: Lawrence Erlbaum Associates, 1998, pp. 295–336.
[29] J. Hulland, “Use of partial least squares (PLS) in strategic management research: a review of four recent studies John Hulland”, Strateg. Manag. J., vol. 20, pp. 195–204, 1999.
[30] J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling”, J. Acad. Mark. Sci., vol. 43, no. 1, pp. 115–135, Jan. 2015.
[31] A. D. Beldad and S. M. Hegner, “Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach”, Int. J. Hum. Comput. Interact., vol. 34, no. 9, pp. 882–893, 2018.
[32] N. Sriratanaviriyakul, M. Nkhoma, A. L. Felipe, T. K. Cao, and Q. H. Tran, “Vietnamese privacy concerns and security in using online social networks”, Int. J. Electron. Secur. Digit. Forensics, vol. 6, no. 4, pp. 306–318, 2014.
[33] T. N. Phan, T. V. Ho, and P. V. Le Hoang, “Factors Affecting the Behavioral Intention and Behavior of Using E–Wallets of Youth in Vietnam”, J. Asian Financ. Econ. Bus., vol. 7, no. 10, pp. 295–302, 2020.
[34] V. Venkatesh and H. Bala, “Technology Acceptance Model 3 and a Research Agenda on Interventions”, Decis. Sci., vol. 39, no. 2, pp. 273–315, May 2008.
[35] J. Choi and L. V. Geistfeld, “A cross-cultural investigation of consumer e-shopping adoption”, J. Econ. Psychol., vol. 25, no. 6, pp. 821–838, Dec. 2004.