The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
권호 표지
DOI QR코드

DOI QR Code

What Makes People Walk Using a Fitness App?

운동에 영향을 끼치는 피트니스 앱 요인 연구

  • Received : 2020.08.11
  • Accepted : 2020.11.12
  • Published : 2020.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose An increase in the number of fitness apps across the world is a testament to the growing interest in health. As focus on medical services shifted from treatment to prevention, this type of app plays an essential role in promoting one's health and exercise management. Yet little has been known about practical effects of fitness apps in existing literature thus this study searches for factors that affect daily use of fitness apps and examine the relationship between app usage and exercise patterns. Design/methodology/approach This study surveyed people who used Cashwalk, the pedometer app for a minimum of a week to analyze reasons why they used the app. Particpants' exercise patterns were also recorded. By examining survey results of fitness app users and developing a research model based on the Customer Value Theory, this study provides real-life factors to the fitness and smart health care industry that will adopt a proactive lifestyle pattern. Findings Empirical analysis proved properties such as the complexity of fitness apps, monetary rewards, exercise monitoring and the enjoyment of using fitness apps contribute to using fitness apps on a daily basis. Furthermore, more daily use of fitness apps was shown to have a greater impact on exercise. This study also confirmed that social comparison does not affect the daily use of fitness apps and the amount of exercise, and the habitual walking was proved to directly affect the amount of exercise.

Keywords

Acknowledgement

이 논문은 2018년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2018S1A3A2075114)

References

  1. 강석기, 습관의 뇌과학, 동아사이언스, 2014, http://m.dongascience.donga.com/news/view/4524
  2. 고재식, "아마추어 골프 참가자의 내적동기와 외적동기에 관한 연구," 한국스포츠심리학회지, 제22권, 제1호, 2011, pp. 51-64.
  3. 김은주, 김정일, 남승규, 노길광, "일반의사결정 유형척도의 타당화," 한국심리학회지: 소비자․광고, 제12권, 제4호, 2011, pp.751-770.
  4. 김태욱, 김승철, 조은현, "자연과학편: 만 중년 여성의 신체조성, 혈액성분 및 운동지속 관련 변인에 있어 m-Health App 사용의 효과검증," 한국체육학회지-자연 과학, 제54권, 제2호, 2015, pp. 407-419.
  5. 김학균, 김연수, "스마트폰을 사용한 운동프로그램이 대학생의 신체활동량 증가에 미치는 영향," 한국체육학회지, 제51권, 제5호, 2012, pp. 457-466.
  6. 디지털타임스, "헬스케어 앱 점유율 1위! 건강 필수어플 캐시워크는?," http://www.dt.co.kr/contents.html?article_no=2017102602109923811018, 2017
  7. 변현, 배정섭, 원도연, "기술수용모델 (TAM)을 통한 스포츠 브랜드 앱(Sports branded apps) 수용 및 구매의도에 관한 연구: 나이키 플러스 앱 사례를 중심으로," 한국스포츠산업경영학회지, 제20권, 제4호, 2015, pp. 117-36.
  8. 삼정 KPMG 경제연구원, "스마트 헬스케어의 현재와 미래," 삼정 KPMG Issue Monitor, 제79호, 2018.
  9. 식품의약품안전처, "스마트 헬스케어 의료기기 기술.표준 전략 보고서," 2018.
  10. 신건권, SmartPLS 3.0 구조방정식모델링, 도서출판청람, 2018.
  11. App Annie, "2020년 모바일 현황 보고서 2020," 2020.
  12. 앱프리너, "Fitness 앱을 위한 개발 팁," 브런치, 2019, https://brunch.co.kr/@nexdigm01/11.
  13. 왕보람, 박지윤, 최인영, "스마트폰 헬스케어 애플리케이션 수용을 위한 주요 영향요인," 한국콘텐츠학회논문지, 제11권, 제10호, 2011, pp. 396-404. https://doi.org/10.5392/JKCA.2011.11.10.396
  14. 이미연, 강지현, 전익기, "스마트폰 피트니스 애플리케이션(App)의 서비스 품질이 이용만족, 신뢰, 몰입 및 지속적 이용의도에 미치는 영향," 한국체육학회지, 제52권, 제2호, 2013, pp. 379-396.
  15. 이용정, 배범준, "건강 어플리케이션 비이용자에 관한 연구," 정보관리학회지, 제34권, 제1호, 2017, pp. 135-154. https://doi.org/10.3743/KOSIM.2017.34.1.135
  16. 이이삭, 이상현, 정재선, 노기영, "모바일 헬스 케어 앱의 지속사용의도에 미치는 심리적 요인의 영향 연구," 디지털융복합연구, 제15권, 제7호, 2017, pp. 445-456. https://doi.org/10.14400/JDC.2017.15.7.445
  17. 이현규, 박영식, "고객가치 극대화를 위한 전자상거래 구매의사결정 요인에 관한 연구," 정보시스템연구, 제15권, 제1호, 2006, pp. 121-144.
  18. 정재선, 박정민, 노기영, "모바일 헬스케어 앱의 지속적 수용에 관한 연구: 인지된 용이성의 확장을 중심으로," 사이버커뮤니케이션학보, 2019, 제36권, 제2호, pp. 81-117.
  19. 조정환, "신체활동증진 평가와 생애주기 모형," 한국체육측정평가학회지, 제13권, 제3호, 2011, pp. 1-16.
  20. 최수정, "스마트폰 기반 모바일상거래의 실용적가치와 지속이용의도," 정보시스템연구, 제25권, 제3호, 2016, pp. 31-60.
  21. Aarts, H., Paulussen, T., and Schaalma, H., "Physical exercise habit: on the conceptualization and formation of habitual health behaviours," Health Education Research, Vol. 12, No. 3, 1997, pp. 363-374. https://doi.org/10.1093/her/12.3.363
  22. Abraham, C., and Graham-Rowe, E., "Are worksite interventions effective in increasing physical activity? A systematic review and meta-analysis," Health Pcychology Review, Vol. 3, No. 1, 2009, pp. 108-144. https://doi.org/10.1080/17437190903151096
  23. Aitken, M., Clancy, B., and Nass, D., "The Growing Value of Digital Health: Evidence and Impact on Human Health and the Healthcare System," IQVIA Institute for Human Data Science, 2017.
  24. Bock, G. W., Zmud, R. W., Kim, Y. G., and Lee, J. N., "Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate," MIS Quarterly, Vol. 29, No. 1, 2005, pp. 87-111. https://doi.org/10.2307/25148669
  25. Brinson, N. H., "Fit or Fail? Examining the Impact of Quantified Self Health and Fitness Tracking Technologies and Data Collection on College Youth," PhD Thesis, The University of Texas at Austin, 2017.
  26. Chen, Y., Zhang, J., and Pu, P., "Exploring social accountability for pervasive fitness apps," Proceedings of The 8th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 2014, pp. 221-226.
  27. Cho, J., Quinlan, M. M., Park, D., Noh, G. Y., "Determinants of adoption of smartphone health apps among college students," American Journal of Health Behavior, Vol. 38, No. 6, 2014, pp. 860-870. https://doi.org/10.5993/AJHB.38.6.8
  28. Dooley, D., Social Research Methods, Prentice Hall, 2001.
  29. Emani, S., Yamin, C. K., Peters, E., Karson, A. S., Lipsitz, S. R., Wald, J. S., Willams, D. H., Bates, D. W., "Patient perceptions of a personal health record: a test of the diffusion of innovation model," Journal of medical Internet research, Vol. 14, No. 6, 2012, e150. https://doi.org/10.2196/jmir.2278
  30. Festinger, L., "A Theory of Social Comparison Processes," Human Relations, Vol. 7, No. 2, 1954, pp. 117-140. https://doi.org/10.1177/001872675400700202
  31. Firat, A. F., Venkatesh, A., "Postmodernity: the age of marketing," International Journal of research in Marketing, Vol. 10, No. 3, 1993, pp. 227-249. https://doi.org/10.1016/0167-8116(93)90009-N
  32. Fogg, B. J., "Persuasive technology: Using computers to change what we think and do," Morgan Kaufmann, 2002.
  33. Gefen, D., Rigdon, E. E., and Straub, D, "Editor's comments: an update and extension to SEM guidelines for administrative and social science research," MIS Quarterly, Vol. 35, No. 2, 2011, pp. iii-xiv. https://doi.org/10.2307/23044042
  34. Gleeson-Kreig, J. M., "Self-monitoring of physical activity," The Diabetes Educator, Vol. 32, No. 1, 2006, pp. 69-77. https://doi.org/10.1177/0145721705284285
  35. Grand View Research, "Fitness App Market Size, Share & Trends Analysis Report By Type (Exercise & Weight Loss, Diet & Nutrition, Activity Tracking), By Platform (Android, iOS, Others), By Device, By Region, And Segment Forecasts, 2019-2026," 2019.
  36. Hamper, A., Wendt, J., Zagel, Ch., and Bondendorf, F., "Behavior Change Support for Physical Activity Promotion: A Theoretical View on Mobile Health and Fitness Applications," 2016 49th Hawaii International Conference on System Sciences (HICSS), IEEE, 2016, pp. 3349-3358.
  37. Harms, S., "From routine choice to rational decision making between mobility alternatives," 3rd Swiss Transport Research Conference, 2003.
  38. Hirschman, E. C., and Holbrook, M. B. "Hedonic consumption: emerging concepts, methods and propositions", Journal of Marketing, Vol. 46 No. 3, 1982, pp. 92-101. https://doi.org/10.2307/1251707
  39. Lin, J. J., Mamykina, L., Lindtner, S., Delajoux, G., and Strub, H. B., "Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game," International conference on ubiquitous computing, Springer, 2006, pp. 261-278.
  40. Major, B., Testa, M., Blysma, W. H., "Responses to Upward and Downward Social Comparisons: The Impact of Esteem-Relevance and Perceived Control," In J. Suls and T. A. Wills (Eds.), Social Comparison: Contemporary Theory and Research, 1991, pp. 237-260.
  41. Nunnally, J. C., "Psychometric theory: 2nd Ed.," McGraw-Hell, 1978.
  42. Ostlund, F. "Leaderboards in Fitness Applications and Their Effect on Motivation," In Student Conference in Interaction Technology and Design, 2020, pp. 64-68.
  43. Ringle, C. M., Wende, S., and Will, A., SmartPLS 2.0., 2005, Available: https://www.smartpls.com.
  44. Rintamaki, T., Kanto, A., Kuusela, H., and Spence, M. T., "Decomposing the value of department store shopping into utilitarian, hedonic and social dimensions: Evidence from Finland," International Journal of Retail & Distribution Management, Vol. 34, No. 1, 2006, pp. 6-24. https://doi.org/10.1108/09590550610642792
  45. Sundaram, S., Schwarz, A., and Jones, E., "Technology use on the front line: how information technology enhances individual performance," Journal of the Academy of Marketing Science, Vol. 35, No. 1, 2007, pp. 101-112. https://doi.org/10.1007/s11747-006-0010-4
  46. Thompson, R. L., Higgins, C. A., and Howel, J. M.,. "Personal Computing: Toward a Conceptual Model of Utilization," MIS Quarterly, Vol. 15, No. 1, 1991, pp. 125-143. https://doi.org/10.2307/249443
  47. Van der Heijden, H., "User acceptance of hedonic information systems," MIS Quarterly, 2004, pp. 695-704. https://doi.org/10.2307/25148660
  48. Venkatesh, V., Thong, J. Y., and Xu, X., "Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology," MIS Quarterly, Vol. 36, No. 1, 2012, pp. 157-178. https://doi.org/10.2307/41410412
  49. Wankel, L. M., and Kreisel, P., "An investigation of factors influencing sport enjoyment across sport and age groups," In Papaer presented at the North American society for the psychology of sport and physical activity conference, College part, MD, 1982.
  50. Woodruff, R. B., "Customer value: the next source for competitive advantage," Journal of the Academy of Marketing Science, Vol. 25 No. 2, 1997, pp. 139-153. https://doi.org/10.1007/BF02894350
  51. Yoganathan, D., and Kajanan, S., "Persuasive Technology for Smartphone Fitness Apps," PACIS 2013 Proceedings, 2013, pp. 1-11.
  52. Yuan, S., Ma, W., Kanthawala, S., and Peng, W., "Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model," Telemedicine and e-Health, Vol. 21, No. 9, 2015, pp. 735-741. https://doi.org/10.1089/tmj.2014.0148