Analysis of Guangzhou Residents' Willingness to Sign Family Physicians and Its Influencing Factors Based on Structural Equation Model

Qiansheng Zhang^1, , Wenjie Wang¹, Maoxiang Huang¹, Xi Tian¹, Jiao Zhang¹, Donghui Zhao¹ and Xuye Gao¹

¹School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, P.R. China

Cite this paper:
Qiansheng Zhang, Wenjie Wang, Maoxiang Huang, Xi Tian, Jiao Zhang, Donghui Zhao and Xuye Gao. Analysis of Guangzhou Residents' Willingness to Sign Family Physicians and Its Influencing Factors Based on Structural Equation Model. American Journal of Applied Mathematics and Statistics. 2020; 8(1):21-27. doi: 10.12691/ajams-8-1-3

Abstract

Based on technology acceptance model, perceived risk, perceived ease of use, perceived usefulness, subjective norm and behavioral attitude are extracted as important factors affecting residents to sign the family physician. The close relationship between the factors is studied by constructing structural equation model (SEM). And the empirical test of fitted SEM shows that all the above factors have impact on residents' signing of family physicians directly or indirectly and the subjective norm plays the most important role in signing family physicians. In response to the above influencing factors of signing family doctor the related government department can take relevant measure to implement family doctor services efficiently.

Keywords:
family physician technology acceptance model structural equation model model test

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References:

[1]	Hill R. J., Fishbein M., Ajzen I., Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Contemporary Sociology, 1977, 6(2), 244-245.
[2]	Davis F. D., Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 1989, 13(3), 319-340.
[3]	Yang X., Peng D.Y., & Xie F., A Study on the Effects of TAM /TPB-based Perceived Risk Cognition on User’s Trust and Behavior Taking Yu’e bao, a value-added Payment Product, as an Example, Management Review, 2016, 28(06), 229-240.
[4]	Tian T., Wang Q., Wei J. J., Research on Gender Differences in Housework. The World of Survey and Research, 2018, (11), 59-65.
[5]	Li Z. Y., Yi C. T., Zhu L. Z., Study on the family doctor service system for the whole crowd. Shanghai Medical & Pharmaceutical Journal, 2012, 33(06), 22-24.
[6]	Hassan H.E., Wood V.R., Does country culture influence consumers' perceptions toward mobile banking? A comparison between Egypt and the United States. Telematics and Informatics, 2020, 46, Article ID: 101312.
[7]	Senft N., Abrams J., Katz A., Barnes C., Charbonneau, D. H., Beebe-Dimmer J. L., Thompson H. S., et al., eHealth activity among African American and white Cancer survivors: a new application of theory, Health Communication, 2020, 35(3), 350-355.
[8]	Venkatesh V., Davis F. D., A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 2000, 46(2), 186-204.
[9]	Hassan A. M., Kunz M. B., Pearson A. W., & Mohamed, F. A., Conceptualization and measurement of perceived risk in online shopping. Marketing Management Journal, 2006, 16(1), 138-147.
[10]	Chen C. H., A study on the Effect of Perceived Website Risk Control on Consumer Behavior. Industrial Engineering and Management, 2013, 18 (6): 92-98.
[11]	Ajzen I., Fishbein, M., Understanding attitudes and predicting social behavior. Engle-wood-Cliffs, N.J.: Prentice-Hall, 1980.
[12]	Ajzen I., The theory of planned behavior. Organizational behavior and human decision processes, 1991, 50(2), 179-211.
[13]	Jarvenpaa S. L., Tractinsky N., Vitale M., Consumer trust in an Internet store. Information technology and management, 2000, 1(1-2), 45-71.
[14]	Pereira E., Ahn S., Han S., Abourizk S., Finding causal paths between safety management system factors and accident precursors. Journal of Management in Engineering, 2020, 36(2), Article ID: 04019049.
[15]	Mostafa A. M. S., Abed El-Motalib E. A., Ethical leadership, work meaningfulness, and work engagement in the public sector. Review of Public Personnel Administration, 2020, 40(1), 112-131.
[16]	Yang Q., Chen Y., Wendorf Muhamad J., Social support, trust in health information, and health information-seeking behaviors (HISBs): A study using the 2012 Annenberg National Health Communication Survey (ANHCS). Health communication, 2017, 32(9), 1142-1150.
[17]	Tsui H. D., Trust, Perceived Useful, Attitude and Continuance Intention to Use E-Government Service: An Empirical Study in Taiwan. IEICE TRANSACTIONS on Information and Systems, 2019, 102(12), 2524-2534.