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개인의 건강정보 제공의도에 영향을 미치는 요인: 프라이버시 계산 관점에서

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

  • 정의선 (경희대학교 대학원 경영학과) ;
  • 이상철 (KC대학교 빅데이터경영학과) ;
  • 서영호 (경희대학교 경영대학)
  • 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)
  • 투고 : 2018.10.15
  • 심사 : 2018.11.21
  • 발행 : 2018.12.30

초록

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.

키워드

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Figure 1. Research Model

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Figure 2. Interaction between purpose and information type in Hospital

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

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Figure 4. Interaction between purpose and information type in Government

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

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Figure 6. Interaction between purpose and privacy concern

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Figure 7. Interaction between requesting stakeholder and privacy concern

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Figure 8. Interaction between requesting stakeholder and medium trust

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Figure 9. Interaction between requesting stakeholder and negative emotion

Table 1. Operational Definition of Variables

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Table 2. Results of Factor Analysis

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Table 3. Demographic Characteristics

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

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Table 5. Results of Hypothesis Tested

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