DOI QR코드

DOI QR Code

Factors Affecting an Individual's Intention to Disclose Personal Health Information: From Privacy Calculus Perspective

개인의 건강정보 제공의도에 영향을 미치는 요인: 프라이버시 계산 관점에서

  • Jeong, Euiseon (Depart. Business Administration, Graduate School, Kyung Hee University) ;
  • Lee, Sang-Chul (Department of Big Data Management, KC University) ;
  • Suh, Yung-Ho (School of Management, Kyung Hee University)
  • 정의선 (경희대학교 대학원 경영학과) ;
  • 이상철 (KC대학교 빅데이터경영학과) ;
  • 서영호 (경희대학교 경영대학)
  • Received : 2018.10.15
  • Accepted : 2018.11.21
  • Published : 2018.12.30

Abstract

Purpose: This study empirically examines the effect of Communication Privacy Management(CPM) factors and Privacy Calculus factors to the intention to disclose Personal Health Information(PHI) in the context of healthcare ecosystem. Also, it investigates the moderating effects of CPM factors in the relationship between privacy calculus variables and the intention to disclose PHI. Methods: We conducted scenario-based repeated-measures quasiexperiment and used total 364 samples for analysis. Confirmatory factor analysis and repeated-measure ANOVA were employed using SPSS 24.0. Results: All CPM factors, such as type of information, requesting purpose, and requesting stakeholder, directly influence to the intention to disclose PHI, whereas only the medium trust out of the Privacy Calculus factors has direct influence on the intention to disclose PHI. With regard to the moderating effects, the requesting stakeholder is the most influential and the information type is the least influential construct. Conclusion: The findings suggest that healthcare system should be designed to provide more definite and personalized benefits to customers to enhance social and individual benefits by getting more participation from customers. Also, it is desirable that the requesting stakeholder of PHI would be non-profit organizations such as hospital, government or public agencies to secure more willingness of PHI from people. Furthermore, it is implied that extensive information gathering and utilization, instead of excluding sensitive information or critical patients' records, is recommended which is substantial to invigorate the healthcare industry.

Keywords

PJGOB9_2018_v46n4_877_f0001.png 이미지

Figure 1. Research Model

PJGOB9_2018_v46n4_877_f0002.png 이미지

Figure 2. Interaction between purpose and information type in Hospital

PJGOB9_2018_v46n4_877_f0003.png 이미지

Figure 3. Interaction between purpose and information type in Pharmaceutical company

PJGOB9_2018_v46n4_877_f0004.png 이미지

Figure 4. Interaction between purpose and information type in Government

PJGOB9_2018_v46n4_877_f0005.png 이미지

Figure 5. Interaction between purpose and information type in Life Insurance company

PJGOB9_2018_v46n4_877_f0006.png 이미지

Figure 6. Interaction between purpose and privacy concern

PJGOB9_2018_v46n4_877_f0007.png 이미지

Figure 7. Interaction between requesting stakeholder and privacy concern

PJGOB9_2018_v46n4_877_f0008.png 이미지

Figure 8. Interaction between requesting stakeholder and medium trust

PJGOB9_2018_v46n4_877_f0009.png 이미지

Figure 9. Interaction between requesting stakeholder and negative emotion

Table 1. Operational Definition of Variables

PJGOB9_2018_v46n4_877_t0001.png 이미지

Table 2. Results of Factor Analysis

PJGOB9_2018_v46n4_877_t0002.png 이미지

Table 3. Demographic Characteristics

PJGOB9_2018_v46n4_877_t0003.png 이미지

Table 4. Repeated-Measures ANOVA Table for Intention to Disclose PHI

PJGOB9_2018_v46n4_877_t0004.png 이미지

Table 5. Results of Hypothesis Tested

PJGOB9_2018_v46n4_877_t0005.png 이미지

References

  1. Anderson, C.L. and Agarwal R. 2011. "The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information." Information Systems Research 22(3):469-490. https://doi.org/10.1287/isre.1100.0335
  2. Bansal, G., Zahedi, F., and Gefen, D. 2010. "The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online." Decision Support Systems 49:138-150. https://doi.org/10.1016/j.dss.2010.01.010
  3. Beckerman, J.Z., Pritts, J., Goplerud, E., Leifer, J.C., Borzi, P.A., Rosenbaum, S., and Anderson, D.R. 2008. "A delicate balance: Behavioral health, patient privacy, and the need to know." California Healthcare Foundation: Issue Brief. Accessed October 13. www.chcf.org/publication/a-delicate-balance-behaioral-health-patient-pri vacy-and-the-need-to-know.
  4. Belanger, F. and Crossler, R.E. 2011. "Privacy in the digital age: A review of information privacy research in information systems." MIS Quarterly 35(4):1017-1042. https://doi.org/10.2307/41409971
  5. Bowman, G.S. 2001. "Emotions and illness." Journal of Advanced Nursing 34(2):256-263 https://doi.org/10.1046/j.1365-2648.2001.01752.x
  6. Bowman, G., Watson, R, and Trotman-Beasty. 2006. "Primary emotions in patients after myocardial infarction." Journal of Advanced Nursing 53(6):636-645. https://doi.org/10.1111/j.1365-2648.2006.03770.x
  7. Chung, Y.S., Hong, S.C., and Chung, S.H. 2017. "The 4th Industrial Revolution and Activation of Healthcare Industry." KiRi Policy Seminar 42-64.
  8. Churchill, G.A. and Peter, P. 1984. "Research Design Effects on The Reliability of Rating Scales: A Meta-Analysis." Journal of Marketing Research 21:360-370. https://doi.org/10.1177/002224378402100402
  9. Culnan, M.J., and Armstrong, P.K. 1999. "Information privacy concerns, procedural fairness, and impersonal trust: an empirical investigation." Organization Science 10(1):104-115. https://doi.org/10.1287/orsc.10.1.104
  10. Dinev, T. and Hart, P. 2006. "An extended privacy calculus model for e-Commerce transactions." Inform. Systems Res 17(1):61-80. https://doi.org/10.1287/isre.1060.0080
  11. Dinev, T., Hart, P., Mullen, M.R. 2008. "Internet privacy concerns and beliefs about government surveillance - an empirical investigation." The Journal of Strategic Information Systems 17(3):214-233. https://doi.org/10.1016/j.jsis.2007.09.002
  12. Dinev, T., Xu, Smith, J.H. and Hart, P. 2012. "Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts." European Journal of Information Systems 22:61-80.
  13. Han, S.T., Kang, H.C., and Heo, M.H. 2004. Research Design and Variance Analysis Using SPSS. Seoul: SPSS Academy.
  14. KIDI. 2017. "The 4th Industrial Revolution in Japan." 4IR Monthly Brief 4:21-28.
  15. Kim, I. and Yeo, J. 2017. "Consumers' Perception on Personal Information and Its Usage in Big Data Environment." Journal of Consumer Studies 28(6):129-148.
  16. Kim, S.Y. and Lee, S.J. 2016. "The 4th Industrial Revolution and Insurance Product Development." KiRi Weekly 406:11-19.
  17. R.S. and Wolfe, M. 1977. "Privacy as a concept and a social issue: a multidimensional development theory." Journal of Social Issues 33(3):23-42.
  18. Li, H., Sarathy, R. and Xu, H. 2011. "The role of affect and cognition on online consumers' decision to disclose personal information to unfamiliar online vendors." Decision Support Systems 51:434-445. https://doi.org/10.1016/j.dss.2011.01.017
  19. Li, Y. 2012. "Theories in online information privacy research: A critical review and an integrated framework." Decision Support Systems 54:471-481. https://doi.org/10.1016/j.dss.2012.06.010
  20. Loewenstein, G. 2005. "Hot-cold empathy gaps and medical decision making." Health Psychology 24(4):S49-S56. https://doi.org/10.1037/0278-6133.24.4.S49
  21. Loewenstein, G.F., Weber, E.U., Hsee, C.K., and Welch, N. 2001. "Risk as Feelings." Psychological Bulletin 127(2):267-286. https://doi.org/10.1037/0033-2909.127.2.267
  22. Nunnlly, J.A. and Bernsteun, H. 1994. Psychometric Theory, 3rd ed. New York:McGraw-Hill.
  23. Nunnlly, J.A. 1997. Psychometric Theory, 2nd ed. NY:McGraw-Hill.
  24. Park, C.M. 2008. "Korean Attitudes toward the Role of Government." Korean Political Science Review 42(4):269-288.
  25. Park, S.H., Kwon, E.N., Song, I.S., Lee, T.H., Kim, S.M., Hong, Y.S., Lee, Y.H., and Kim, J.Y. 2017. " IoT based Smart Healthcare Industry Trends." Korea Technology Innovation Society Symposium 311-319.
  26. Petronio, S. 2002. Boundaries of Privacy: Dialectics of Disclosure, Albany. NY: SUNY Press.
  27. Potter, R.E. and Balthazard, P. 2004. "The role of individual memory and attention process during electronic brainstorming." MIS Quarterly 28(4):621-643. https://doi.org/10.2307/25148657
  28. R., Rosnow, R.L. 1984. Essentials of Behavioral Research: Methods and Data Analysis. Boston: McGraw-Hill. 141-148.
  29. Stanton, J.M. 2003. Information technology and privacy: A boundary management perspective. S. Clarke, E. Coakes, M. G. Hunter, A. Wenn eds. Socio-Technical and Human Cognition Elements of Information Systems. London: Information Science Publishing 79-103.
  30. Steenkamp, Jan-Benedict. E.M. and Hans C.M. van Trijp. 1991. "The use of LISREL in Validating Marketing Constructs." International Journal of Research in Marketing. 8:283-299. https://doi.org/10.1016/0167-8116(91)90027-5
  31. Stone, E.G., Gueutal, H.G., Gardner, D.G., and McClure, S. 1983. "A field experiment comparing information- privacy values, beliefs, and attitudes across several types of organizations." Journal of Applied Psychology 68(3):459-468. https://doi.org/10.1037/0021-9010.68.3.459
  32. Sun, Y., Wang, N. and Shen, X. 2015. "Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences." Computers in Human Behavior 52: 278-292. https://doi.org/10.1016/j.chb.2015.06.006
  33. Vroom, V.H. 1964. Work and Motivation. New York: Wiley.