Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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A Study of Factors Affecting Intention to Use Mobility Sharing Service

공유 모빌리티 서비스의 이용의도에 영향을 미치는 요인에 관한 연구

  • 김용석 (숭실대학교 대학원 경영학과) ;
  • 피채희 (숭실대학교 대학원 경영학과) ;
  • 최정일 (숭실대학교 경영학부)
  • Received : 2021.07.19
  • Accepted : 2021.10.06
  • Published : 2021.10.31
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Abstract

The COVID-19 pandemic has brought about many changes in our daily lives and in industries as a whole. The most notable change was the spread of the untact culture to minimize face-to-face contact. The spread of the untact culture has changed the use of public transportation. Looking at the results of previous SARS and MERS studies, it was found that as the pandemic spreads, the use of public transportation decreased. Recently, the mobility sharing service is attracting attention as a personalized means of transportation instead of public transportation. Therefore, in this study, the factors affecting the intention to use the mobility sharing service were to be identified by the actual users. In this study, economic benefit, convenience, sustainability, and sense of belonging were set as independent variables based on previous studies. In addition, the relationship between the perceived usefulness and perceived pleasure of these factors of use on intention to use was empirically analyzed through PLS-SEM. As a result of the study, it was found that economic benefits, convenience, sustainability, and sense of belongingness had a significant effect on intention to use through perceived usefulness and enjoyment. This study was meaningful in that it was verified through the study that economic benefits, convenience, sustainability, and a sense of belongingness were significant variables affecting the intention to use through usefulness and pleasure.

Keywords

References

  1. 김수배, "병원의 편의지향성이 고객의 편의성과 성과지각에 미치는 영향에 관한 연구", 동아대학교 박사학위 논문, 2004.
  2. 김형석, "창원시 공영자전거 시설의 이용실태 및 개선방안 연구", 부산대학교 석사학위 논문, 2010.
  3. 범력증, 고일상, "스마트폰을 이용한 카 세어링 서비스를 촉진하는 요인에 관한 연구: 중국의 DIDI 서비스를 중심으로", Entrue Journal of Information Technology, 제16권, 제2호, 2017, 7-24.
  4. 성현곤, "메르스의 발발과 확산이 대중교통 이용에 미친 영향", 대한국토계획학회지, 제51권, 제3호, 2016, 163-179.
  5. 신송현, 추상호, "코로나 19로 인한 공유 모빌리티 이용 변화에 관한 연구: 신도시 주민을 대상으로", 한국ITS학회 학술대회, 2021, 560-566.
  6. 안희정, "지난해 쏘카 카셰어링 이용시간 12% 늘었다", ZDNet Korea, 2021년 2월 5일자. Available at https://zdnet.co.kr/view/?no=20210205082645(Accessed June 5, 2021).
  7. 유승규, "공유경제 플랫폼 기반의 퍼스널 모빌리티 서비스 지속사용의도에 영향을 미치는 요인에 관한 연구", 한국디지털콘텐츠학회논문지, 제21권, 제12호, 2020, 2159-2168.
  8. 유은정, "공유숙박 플랫폼의 품질특성이 한.중 이용자의 이용의도에 미치는 영향', 숭실대학교 박사학위 논문, 2020.
  9. 윤민석, 판찬, 곡민, "공유경제 환경에서 차량 공유서비스 활용에 영향을 미치는 요인에 관한 연구: 중국의 디디추싱 사례 분석을 중심으로", 한국IT서비스학회지, 제20권, 제2호, 2021, 147-166. https://doi.org/10.9716/KITS.2021.20.2.147
  10. 윤철호, 김상훈, "R을 이용한 PLS 구조방정식모형분석 튜토리얼: 예시 연구모형 및 데이터를 중심으로", Information Systems Review, 제16권, 제3호, 2014, 89-112. https://doi.org/10.14329/isr.2014.16.3.089
  11. 이장재, "포스트 코로나19 시대의 국가혁신체계 전략", KISTEP lnl, 33(여름호), 2020, 5-11.
  12. 이재광, 최영우, 임은주, 김유닌, 안소램 및 김민정, "O2O 배달 앱 플랫폼 서비스에서 공급업체의 지속사용에 영향을 미치는 요인에 관한 연구", 한국IT서비스학회지, 제20권, 제2호, 2021, 13-31. https://doi.org/10.9716/KITS.2021.20.2.013
  13. 이준, 이상조, "메르스 감염병 사례로 바라본 코로나19 교통 대응전략", 월간 교통, 제265권, 2020, 32-38.
  14. 이준민, "공유경제 비즈니스 모델의 가치 요인 분석", 한국IT서비스학회지, 제15권, 제4호, 2016, 153-174. https://doi.org/10.9716/KITS.2016.15.4.153
  15. 정경덕, 윤여경, 서정식, 임판주, 신선웅, "메르스 사례를 통해서 본 도시철도 긴급 상황시 교통안전 대응전략에 관한 연구", 한국철도학회 학술발표대회논문집, 2015, 1357-1362.
  16. 최준영, 권승현, 이정민, 이승주, "공유 모빌리티, 코로나시대 '비대면 이동수단' 각광... 국내시장 규모 3년새 3배커져", 문화일보, 2021년 1월 26일자. Available at http://www.munhwa.com/news/view.html?no=2021012601031603025001(Accessed June 5, 2021).
  17. Bagozzi, R.P. and Y. Yi, "On the evaluation of structural equation models", Journal of the Academy of Marketing Science, Vol.16, 1988, 74-94. https://doi.org/10.1007/BF02723327
  18. Baptista, P., S. Melo, and C. Rolim, "Energy, environmental and mobility impacts of car-sharing systems. Empirical results from Lisbon, Portugal, Procedia-Social and Behavioral Sciences, Vol.111, 2014 28-37. https://doi.org/10.1016/j.sbspro.2014.01.035
  19. Barnes, S.J. and J. Mattsson, "Understanding collaborative consumption: Test of a theoretical model", Technological Forecasting and Social Change, Vol.118, 2017, 281-292. https://doi.org/10.1016/j.techfore.2017.02.029
  20. Botsman, R. and R. Rogers, What's mine is yours. The rise of collaborative consumption, New York, NY Harper Business, 2010.
  21. Chin, W.W., "Commentary: Issues and opinion on structural equation modeling", MIS Quarterly, Vol.22, No.1, 1998, 7-16.
  22. Chin, W.W., "The partial least squares approach to structural equation modeling", Modern Methods for Business Research, Vol.295, No.2, 1998, 295-336.
  23. Davis, F.D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, Vol.13, No.3, 1989, 319-340. https://doi.org/10.2307/249008
  24. Davis, F.D., R.P. Bagozzi, and P.R. Warshaw, "User acceptance of computer technology: A comparison of two theoretical models", Management Science, Vol.35, No.8, 1989, 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  25. Fornell, C. and D.F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, Vol.18, No.1, 1981, 39-50. https://doi.org/10.2307/3151312
  26. Gefen, D. and D. Straub, "A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example", Communications of the Association for Information Systems, Vol.16, No.1, 2005, 91-109.
  27. Hair, J.F., G.T.M. Hult, C. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM), Thousand Oaks, CA: Sage, 2014.
  28. Hamari, J., M. Sjoklint, and A. Ukkonen, "The sharing economy: Why people participate in collaborative consumption", Journal of the Association for Information Science and Technology, Vol.67, No.9, 2016, 2047-2059. https://doi.org/10.1002/asi.23552
  29. Hawlitschek, F., T. Teubner, and H. Gimpel, "Understanding the sharing economyDrivers and impediments for participation in peer-to-peer rental, In 2016 49th Hawaii International Conference on System Sciences (HICSS), IEEE, 2016. 4782-4791.
  30. Heineke, K., P. Kampshoff, T. Moller, and T. Wu, From no mobility to future mobility: Where COVID-19 has accelerated change, McKinsey Report, December 2020.
  31. Henseler, J., C.M. Ringle, and R.R. Sinkovics, "The use of partial least squares path modeling in international marketing", New Challenges to International Marketing (Advances in International Marketing, 20), Emerald Group Publishing Limited, 2009, 277-319.
  32. Joo, J.H., "Motives for participating in sharing economy: Intentions to use car sharing services", The Journal of Distribution Science, Vol.15, No.2, 2017, 21-26. https://doi.org/10.15722/JDS.15.2.201702.21
  33. Kubal'ak, S., A. Kalasova, and A. Hajnik, "The bike-sharing system in Slovakia and the impact of COVID-19 on this shared mobility service in a selected city", Sustainability, Vol.13, 2021, 6544-6564. https://doi.org/10.3390/su13126544
  34. Lamberton, C.P. and R.L. Rose, "When is ours better than mine? A framework for understanding and altering participation in commercial sharing systems", Journal of Marketing, Vol.76, No.4, 2012, 109-125. https://doi.org/10.1509/jm.10.0368
  35. Li, H. and H. Wen, "How is motivation generated in collaborative consumption: Mediation effect in extrinsic and intrinsic motivation", Sustainability, Vol.11, No.3, 2019, 640-652. https://doi.org/10.3390/su11030640
  36. Ma, S., Y. Zheng, and O. Wolfson, "T-share: A large-scale dynamic taxi ridesharing service", Proceedings of the 2013 IEEE 29th International Conference on Data Engineering (ICDE), IEEE, Brisbane, QLD, 2013, 410-421.
  37. Marza, S., I. Idris, and A. Abror, "The influence of convenience, enjoyment, perceived risk, and trust on the attitude toward online shopping", Proceedings of 2nd Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2018), May 2019, 588-598.
  38. Moon, J.W. and Y.G. Kim, "Extending the TAM for a World-Wide-Web context", Information & Management, Vol.38, No.4, 2001, 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
  39. Mun, Y.Y. and Y. Hwang, "Predicting the use of web-based information systems: selfefficacy, enjoyment, learning goal orientation, and the technology acceptance model", International Journal of Human-Computer Studies, Vol.59, No.4, 2003, 431-449. https://doi.org/10.1016/S1071-5819(03)00114-9
  40. Nunnally, J.C. and I.H. Bernstein, Psychometric theory, 3rd ed., McGraw-Hill, New York, 1994.
  41. Raghunathan, R. and K. Corfman, "Is happiness shared doubled and sadness shared halved? Social influence on enjoyment of hedonic experiences", Journal of Marketing Research, Vol.43, No.3, 2006, 386-394. https://doi.org/10.1509/jmkr.43.3.386
  42. Santoso, A.S. and L.A.M. Nelloh, "User satisfaction and intention to use peer-to-peer online transportation: A replication study", Procedia Computer Science, Vol.124, 2017, 379-387. https://doi.org/10.1016/j.procs.2017.12.168
  43. Shaheen, S. and N. Chan, "Mobility and the sharing economy: Potential to facilitate first-and last-mile public transit connections", Built Environment, Vol.42, No.4, 2016, 573-588. https://doi.org/10.2148/benv.42.4.573
  44. Shen, J., "Social comparison, social presence, and enjoyment in the acceptance of social shopping websites", Journal of Electronic Commerce Research, Vol.13, No.3, 2012, 198-212.
  45. Sun, H. and P. Zhang, "Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach", Journal of the Association for Information Systems, Vol.7, No.9, 2006, 618-645. https://doi.org/10.17705/1jais.00100
  46. Swilley, E. and R.E. Goldsmith, "Black Friday and Cyber Monday: Understanding consumer intentions on two major shopping days", Journal of Retailing and Consumer Services, Vol.20, No.1, 2013, 43-50. https://doi.org/10.1016/j.jretconser.2012.10.003
  47. Tenenhaus, M., V.E. Vinzi, Y.M. Chatelin, and C. Lauro, "PLS path modeling", Computational Statistics & Data Analysis, Vol.48, No.1, 2005, 159-205. https://doi.org/10.1016/j.csda.2004.03.005
  48. Teo, T.S., V.K. Lim, and R.Y. Lai, "Intrinsic and extrinsic motivation in Internet usage", Omega, Vol.27, No.1, 1999, 25-37. https://doi.org/10.1016/S0305-0483(98)00028-0
  49. Tussyadiah, I.P., "Factors of satisfaction and intention to use peer-to-peer accommodation", International Journal of Hospitality Management, Vol.55, 2016, 70-80. https://doi.org/10.1016/j.ijhm.2016.03.005
  50. Vine, S.L. and J. Polak, "Introduction to special issue: new directions in shared-mobility research", Transportation, Vol.42, No.3, 2015, 407-411. https://doi.org/10.1007/s11116-015-9603-4
  51. Wang, K. Y., "How change of public transportation usage reveals fear of the SARS virus in a city", PLOS ONE, Vol.9, No.3, 2014, 1-10.
  52. WHO, WHO Coronavirus (COVID-19) Dashboard. Available at https://covid19.who.int/(Accessed June 1, 2021).