개인의 건강정보 제공의도에 영향을 미치는 요인: 프라이버시 계산 관점에서 = Factors Affecting an Individual’s Intention to Disclose Personal Health Information: From Privacy Calculus Perspective

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

• 1 박종민, "한국인의 정부역할에 대한 태도" 한국정치학회 42 (42): 271-290, 2008
• 2 김인혜, "빅데이터 환경에서의 개인정보 활용에 대한 소비자인식" 한국소비자학회 28 (28): 129-148, 2017
• 3 Vroom, V.H., "Work and Motivation" Wiley 1964
• 4 Li, Y., "Theories in online information privacy research: A critical review and an integrated framework" 54 : 471-481, 2012
• 5 Steenkamp, Jan-Benedict. E.M., "The use of LISREL in Validating Marketing Constructs" 8 : 283-299, 1991
• 6 Potter, R.E., "The role of individual memory and attention process during electronic brainstorming" 28 (28): 621-643, 2004
• 7 Li, H., "The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors" 51 : 434-445, 2011
• 8 Bansal, G., "The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online" 49 : 138-150, 2010
• 9 Anderson, C.L., "The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information" 22 (22): 469-490, 2011
• 10 KIDI, "The 4th Industrial Revolution in Japan" 4 : 21-28, 2017
• 11 Kim, S.Y., "The 4th Industrial Revolution and Insurance Product Development" 406 : 11-19, 2016
• 12 Chung, Y.S., "The 4th Industrial Revolution and Activation of Healthcare Industry" 42-64, 2017
• 13 Stanton, J.M., "Socio-Technical and Human Cognition Elements of Information Systems" Information Science Publishing 79-103, 2003
• 14 Loewenstein, G.F., "Risk as Feelings" 127 (127): 267-286, 2001
• 15 Han, S.T., "Research Design and Variance Analysis Using SPSS" SPSS Academy 2004
• 16 Churchill, G.A., "Research Design Effects on The Reliability of Rating Scales: A Meta-Analysis" 21 : 360-370, 1984
• 17 Nunnlly, J.A., "Psychometric Theory" McGraw-Hill 1997
• 18 Nunnlly, J.A., "Psychometric Theory" McGraw-Hill 1994
• 19 Bélanger, F., "Privacy in the digital age: A review of information privacy research in information systems" 35 (35): 1017-1042, 2011
• 20 Laufer, R.S., "Privacy as a concept and a social issue: a multidimensional development theory" 33 (33): 23-42, 1977
• 21 Bowman, G., "Primary emotions in patients after myocardial infarction" 53 (53): 636-645, 2006
• 22 Sun, Y., "Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences" 52 : 278-292, 2015
• 23 Park, S.H., "IoT based Smart Healthcare Industry Trends" 311-319, 2017
• 24 Dinev, T., "Internet privacy concerns and beliefs about government surveillance – an empirical investigation" 17 (17): 214-233, 2008
• 25 Culnan, M.J., "Information privacy concerns, procedural fairness, and impersonal trust: an empirical investigation" 10 (10): 104-115, 1999
• 26 Dinev, T., "Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts" 22 : 61-80, 2012
• 27 Loewenstein, G., "Hot-cold empathy gaps and medical decision making" 24 (24): S49-S56, 2005
• 28 Rosenthal, R., "Essentials of Behavioral Research: Methods and Data Analysis" McGraw-Hill 141-148, 1984
• 29 Bowman, G.S., "Emotions and illness" 34 (34): 256-263, 2001
• 30 Petronio, S., "Boundaries of Privacy: Dialectics of Disclosure" SUNY Press 2002
• 31 Dinev, T., "An extended privacy calculus model for e-Commerce transactions" 17 (17): 61-80, 2006
• 32 Stone, E.G., "A field experiment comparing information-privacy values, beliefs, and attitudes across several types of organizations" 68 (68): 459-468, 1983
• 33 Beckerman, J.Z., "A delicate balance: Behavioral health, patient privacy, and the need to know" California Healthcare Foundation