Browse > Article
http://dx.doi.org/10.15813/kmr.2021.22.2.003

Motivational Factors Affecting Intention to Use Mobile Health Apps: Focusing on Regulatory Focus Tendency and Privacy Calculus Theory  

So, Hyeon-jeong (Graduate School of Business IT, Kookmin University)
Kwahk, Kee-Young (College of Business Administration/Graduate School of Business IT, Kookmin University)
Publication Information
Knowledge Management Research / v.22, no.2, 2021 , pp. 33-53 More about this Journal
Abstract
Use of mobile apps being extended, privacy concern on the side of the users is increased while they are willing to provide the private information to use the apps. In this study, we tried to identify the motivating elements that influence the users' intention to use the apps, based on the tendency towards regulatory focus and the privacy calculus theory. To verify the study model, we collected data from 151 adults who use health apps throughout the country, and analyzed the data using the PLS-SEM method. According to the result of the study, it was turned out that tendency towards promotion focus had negative impact on privacy concern and privacy danger, and tendency towards prevention focus had positive impact on privacy concern. Privacy concern had negative impact on the intention to use the mobile apps, and privacy benefit and privacy knowledge had positive impact on the intention to use the mobile apps. Finally, the intention to use the mobile apps had positive impact on the intention to continue to use the mobile apps. In this study, we identified different impacts of two types of tendency towards regulatory focus on privacy concern, and identified different influences on the intention to use the mobile apps accordingly.
Keywords
Regulatory focus; Information Privacy Concern; Privacy Calculus theory; Privacy Knowledge; Mobile App Use Intention;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jung, E. J., McKnight, D. H., Jung, E., & Lankton, N. K. (2011). The surprising lack of effect of privacy concerns on intention to use online social networks. In AMCIS.
2 차훈상 (2012). 스마트폰 위치기반 어플리케이션의 이용의도에 영향을 미치는 요인: 프라이버시 계산 모형의 적용. Asia Pacific Journal of Information Systems, 22(4), 7-29.
3 Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
4 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.   DOI
5 Dogruel, L., Joeckel, S., & Vitak, J. (2017). The valuation of privacy premium features for smartphone apps: The influence of defaults and expert recommendations. Computers in Human Behavior, 77, 230-239.   DOI
6 Egele, M., Kruegel, C., Kirda, E., & Vigna, G. (2011, February). PiOS: Detecting privacy leaks in iOS applications. In NDSS, 177-183.
7 Freitas, A. L., Liberman, N., & Higgins, E. T. (2002). Regulatory fit and resisting temptation during goal pursuit. Journal of Experimental Social Psychology, 38(3), 291-298.   DOI
8 Nagy, M. S. (2002). Using a single-item approach to measure facet job satisfaction. Journal of Occupational and Organizational Psychology, 75(1), 77-86.   DOI
9 Crowe, E., & Higgins, E. T. (1997). Regulatory focus and strategic inclinations: Promotion and prevention in decision-making. Organizational Behavior and Human Decision Processes, 69(2), 117-132.   DOI
10 Gutierrez, A., O'Leary, S., Rana, N. P., Dwivedi, Y. K., & Calle, T. (2019). Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor. Computers in Human Behavior, 95, 295-306.   DOI
11 Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.   DOI
12 Jiang, Z., Heng, C. S., & Choi, B. C. (2013). Research note-privacy concerns and privacy-protective behavior in synchronous online social interactions. Information Systems Research, 24(3), 579-595.   DOI
13 Jozani, M., Ayaburi, E., Ko, M., & Choo, K. K. R. (2020). Privacy concerns and benefits of engagement with social media-enabled apps: A privacy calculus perspective. Computers in Human Behavior, 107, 106260.   DOI
14 Kline, P. (2000). Test construction: Factor analytic and item analytic methods. In Handbook of psychological testing (2nd ed., pp. 161-181). London: Routledge.
15 Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.   DOI
16 Lee, A. Y., & Aaker, J. L. (2004). Bringing the frame into focus: the influence of regulatory fit on processing fluency and persuasion. Journal of Personality and Social Psychology, 86(2), 205-218.   DOI
17 Li, H., Sarathy, R., & Xu, H. (2010). Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems, 51(1), 62-71.
18 McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334-359.   DOI
19 Pentina, I., Zhang, L., Bata, H., & Chen, Y. (2016). Exploring privacy paradox in information-sensitive mobile app adoption: A cross-cultural comparison. Computers in Human Behavior, 65, 409-419.   DOI
20 Xu, H., Teo, H. H., Tan, B. C., & Agarwal, R. (2009). The role of push-pull technology in privacy calculus: The case of location-based services. Journal of Management Information Systems, 26(3), 135-174.   DOI
21 박지영, 곽기영 (2019). SNS 사용자의 자기노출 행동 동기요인. 경영학연구, 48(2), 561-587.
22 김기호, 이형용 (2017). 조절 초점에 따른 개인 특성이 스마트 결제시스템 수용에 미치는 영향. 지식경영연구, 18(4), 213-235.   DOI
23 김미량, 김재운, 황선환 (2010). 진지한 여가척도(SLIM)의 단일문항측정 적용검토. 한국여가레크리에이션학회지, 34(4), 147-156.
24 김은진, 박재진 (2016). 조절초점 이론과 TAM 모델의 결합을 통한 해외직구 소비자 행동 연구. 사회과학연구, 27(4), 47-66.
25 오선주 (2014). 사용자 유형에 따른 모바일 앱 구매요인에 관한 연구. Information Systems Review, 16(1), 73-88.   DOI
26 유재호, 이애리, 김경규 (2016). 페이스북에서의 프라이버시 패러독스 현상 연구: 듀얼팩터이론을 중심으로. 지식경영연구, 17(1), 17-47.
27 Wottrich, V. M., Van Reijmersdal, E. A., & Smit, E. G. (2018). The privacy trade-off for mobile app downloads: The roles of app value, intrusiveness, and privacy concerns. Decision Support Systems, 106, 44-52.   DOI
28 Buck, C., Horbel, C., Kessler, T., & Christian, C. (2014). Mobile consumer apps: Big data brother is watching you. Marketing Review St. Gallen, 31(1), 26-35.   DOI
29 Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.   DOI
30 Beinat, E. (2001). Privacy and location-based services: Stating the policies clearly. GeoInformatics, 4, 14-17.
31 이애리, 안효영 (2016). 핀테크 사용에 대한 정보프라이버시 염려와 이용자 저항에 대한 연구: 조절초점성향과의 상호작용 효과 고찰. 정보보호학회논문지, 26(1), 209-226.   DOI
32 Robins, R. W., Hendin, H. M., & Trzesniewski, K. H. (2001). Measuring global self-esteem: Construct validation of a single-item measure and the Rosenberg Self-Esteem Scale. Personality and Social Psychology Bulletin, 27(2), 151-161.   DOI
33 Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals' concerns about organizational practices. MIS Quarterly, 20(2), 167-196.   DOI
34 Wang, E. S. T., & Lin, R. L. (2017). Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention. Behaviour & Information Technology, 36(1), 2-10.
35 Xu, H., Gupta, S., Rosson, M. B., & Carroll, J. M. (2012). Measuring mobile users' concerns for information privacy. 33rd International Conference on Information Systems, 1-16.
36 Wang, J., & Lee, A. Y. (2006). The role of regulatory focus in preference construction. Journal of Marketing Research, 43(1), 28-38.   DOI
37 Warren, S. D., & Brandeis, L. D. (1890). The right to privacy. Harvard Law Review, 4(5), 193-220.   DOI
38 Xu, H., Dinev, T., Smith, H. J., & Hart, P. (2008). Examining the formation of individual's privacy concerns: Toward an integrative view. ICIS 2008 Proceedings, 6.
39 Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.   DOI
40 Clarke, R. (2001). Person location and person tracking-Technologies, risks and policy implications. Information Technology & People, 14(2), 206-231.   DOI
41 Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52(12), 1280-1300.   DOI
42 김병수 (2012). 모바일 소셜네트워크서비스 환경에서 지속사용 의도의 선행 요인에 관한 연구: 신뢰와 프라이버시 우려의 역할. 지식경영연구, 13(4), 83-100.   DOI
43 서봉군, 박도형 (2020). 온라인 메신저 서비스에서의 이모티콘 사용 동기: 조절초점 성향을 중심으로. 지식경영연구, 21(2), 101-118.   DOI
44 Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61-80.   DOI
45 이승호, 김창식, 곽기영 (2016). 인스타그램 고객의 지속적 사용의도 결정요인: 성별의 조절효과를 중심으로. 디지털산업정보학회지, 12(2), 61-72.
46 Androulidakis, I., & Kandus, G. (2011, April). Mobile phone security awareness and practices of students in budapest. In Proceedings of the 6th International Conference on Digital Telecommunications, 17-22.
47 Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.   DOI
48 Enck, W., Gilbert, P., Han, S., Tendulkar, V., Chun, B. G., Cox, L. P., ... & Sheth, A. N. (2014). TaintDroid: An information-flow tracking system for realtime privacy monitoring on smartphones. ACM Transactions on Computer Systems(TOCS), 32(2), 1-29.
49 George, D., & Mallery, M. (2003). Using SPSS for Windows step by step: A simple guide and reference. Pearson Education India.
50 Higgins, E. T., Idson, L. C., Freitas, A. L., Spiegel, S., & Molden, D. C. (2003). Transfer of value from fit. Journal of Personality and Social Psychology, 84(6), 1140-1153.   DOI
51 Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(1-2), 45-71.   DOI
52 Laufer, R. S., & Wolfe, M. (1977). Privacy as a concept and a social issue: A multidimensional developmental theory. Journal of Social Issues, 33(3), 22-42.   DOI
53 Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42-52.   DOI
54 Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854-864.   DOI
55 Li, H., Sarathy, R., & 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(3), 434-445.   DOI
56 Mosteller, J., & Poddar, A. (2017). To share and protect: Using regulatory focus theory to examine the privacy paradox of consumers' social media engagement and online privacy protection behaviors. Journal of Interactive Marketing, 39, 27-38.   DOI
57 PWC (2014). Wearable technology future is ripe for growth-most notably among millennials. Available at: http://www.pwc.com/us/en/press-releases/2014/wearable-technology-future.html
58 Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.   DOI
59 Wang, T., Duong, T. D., & Chen, C. C. (2016). Intention to disclose personal information via mobile applications: A privacy calculus perspective. International Journal of Information Management, 36(4), 531-542.   DOI
60 Xu, H., & Teo, H. H. (2004). Alleviating consumers' privacy concerns in location-based services: A psychological control perspective. ICIS 2004 Proceedings, 64.
61 Krasnova, H., & Veltri, N. F. (2010, January). Privacy calculus on social networking sites: Explorative evidence from Germany and USA. In 2010 43rd Hawaii International Conference on System Sciences, IEEE, 1-10.