DOI QR코드

DOI QR Code

A Study on Factors Affecting the Use Intention of Virtual Reality(VR) Devices: Based on UTAUT and VAM Model

  • Li, Zhou-Yang (Dept of Business Administration Graduate School, Kyonggi University) ;
  • Yoon, Sung-Joon (Dept of Business Administration Graduate School, Kyonggi University) ;
  • Liu, Zi-Yang (Dept of Global Business Graduate School, Kyonggi University)
  • Received : 2019.03.18
  • Accepted : 2019.04.01
  • Published : 2019.04.30

Abstract

The purposes of this study is to derive the influence factors of Virtual Reality(VR) technologies acceptance based on the study of unified theory of acceptance and use of technology and value-based acceptance model to test the use and acceptance of VR devices. The survey methods were used for this study, and the data from a total of 400 consumers were used for the analysis. And the structural equation model was used to analyze the data. The results of the study are as follows: First, benefit components perceived enjoyment(EN) and sacrifice components personal innovative(PI) of VR devices were positively related to perceived values and use intention of VR devices, although the benefit components performance expectancy(PE) was positively related to perceived values(PV) but was not positively related to the use intention of VR devices. Second, sacrifice components perceived cost(PC) and anxiety(ANX) of VR devices were negatively related to perceived value(PV), but were not negatively related to the use intention of VR devices. Third, perceived values was not obvious related to the use intention(UI) of VR devices. The results of this study contribute to the literature as a new attempt to examining the effect on consumer use intention in VR technology areas.

Keywords

CPTSCQ_2019_v24n4_35_f0001.png 이미지

Fig. 1. Theoretical Framework and Hypotheses

CPTSCQ_2019_v24n4_35_f0002.png 이미지

Fig. 2. The Structural Model

Table 1. Characteristics of Respondents

CPTSCQ_2019_v24n4_35_t0001.png 이미지

Table 2. Constructs and Measures

CPTSCQ_2019_v24n4_35_t0002.png 이미지

Table 3. Descriptive Statistics for the Scales

CPTSCQ_2019_v24n4_35_t0003.png 이미지

Table 4. Correlations

CPTSCQ_2019_v24n4_35_t0004.png 이미지

Table 5. Hypotheses Test Results

CPTSCQ_2019_v24n4_35_t0005.png 이미지

References

  1. Haugstvedt, A. C., & Krogstie, J., "Augmented Reality for Cultural Heritage: A Technology Acceptance Study"International Symposium on Mixed and Augmented Reality 2012 Science and Technology Proceedings, Atlanta. 2012.
  2. Jung, D. W. & Kang, Y. O., "History-Tourism Information Service Using Mobile Augmented Reality Technology" Journal of Korea spatial information society, Vol.20, No.2 pp.59-70, 2012. https://doi.org/10.12672/ksis.2012.20.2.059
  3. Lee. K. S. & Lee, H. R., " Hierarchical Value Map -An Application of the Hard Laddering Technique"Korean Journal of Tourism Research, Vol.25, No.6 pp237-253, 2011.
  4. Oh, Jong Chul,, An Empirical Study on Use-Diffusion of AR Technology based on VAM : The Moderating Effects of Postive TRI, The e-Business Studies Vol.18, No.5 pp.225-244, 2017.http://dx.doi.org/10.20462/tebs.20 17.10.18.5.225
  5. Olsson, T., Karkkainen, T., Lagerstam, E., & Venta-Olkkonen, L, "Augmented Reality Scenarios"Journal of Ambient Intelligence and Smart Environments, Vol.4, No.1 pp.29-47, 2012. https://doi.org/10.3233/AIS-2011-0127
  6. Jang Hyung Joon, "A Study on the Influence of VR Characteristics on User Satisfaction and Intention to Use Continuously," Seoul National University of Science and Technology Doctoral Dissertation. 2018.
  7. Lee, J. H. & Kim, M. J., "gy of Augmented Reality Contents in the Contextual Environments"Journal of the Humanity Contents, No.19 pp.179-218, 2010
  8. Noh, K. H., Ji, H. K. and Lim, S. H., Effect of Augmented Reality Contents Based Instruction on Academic Achievement, Interest and Flow of Learning, Journal of the Korea Contents Society, Vol.10, No.2 pp.1-13, 2010.
  9. Won, G. S., " Restoration based on Augmented Reality to Museum Education"Journal of the Korea Contents Society, Vol.10,No.6, pp.205-212, 2010. https://doi.org/10.5392/JKCA.2010.10.6.205
  10. Jang S. H. & Kye, B. K., "cation of Augmented Reality Contents"Journal of the Korea Contents Society, Vol.5,No.2 pp.79-85, 2007.
  11. Jang, S. H. & Choi, J. S. and Lee, K. W.,"ented Reality Application Design"Design Convergence Study, Vol.12, No.5 pp.335-350. 2013
  12. Kim, Y. S. & Kim, Y. I., "of Realistic Experience Application Contents for Tourist Spots Object Recognition Using Augmented Reality Technology" Smart Media Journal, Vol.5, No.1 pp.122-129, 2016.
  13. Holbrook, M. B., "Value: An Axiology of Service in Consumption Experience" Service Quality: New Directions in Theory and Practice, Sage, Thousand Oaks. 1994.
  14. Mathwick, C., Malhotra, N. & Rigdon, E.,"nt and Application in the Catalog and Internet Shopping Environment"Journal of Retailing, Vol.77, pp.39-56, 2001. https://doi.org/10.1016/S0022-4359(00)00045-2
  15. Koh, K. S., Experience Markting, Dae-Myong Press; Seoul, 2004.
  16. Beerli, A. & Martin, J. D., "'ristics and the Perceived Image of Tourist Destinations: A Quantitative Analysis: A Case Study of Lanzarote, Spain"Tourism Management, Vol.25, pp.623-636, 2004. https://doi.org/10.1016/j.tourman.2003.06.004
  17. Yongmoon,Kim, Jongok,Lee, "A Study on the Impact of the App-Book Purchasing Behavior of Smart phone Users in Korea," The Journal of Society for e-Business Studies, Vol.18, No.3 pp. 45-67, 2013. https://doi.org/10.7838/jsebs.2013.18.3.045
  18. Zeithaml, V. A., "Price, Quality and Value: A Means-end Model and Synthesis of Evidence" Journal of Marketing, Vol.52, No.3 pp.2-22, 1988. https://doi.org/10.1177/002224298805200302
  19. Kim, H. W., Chan, H. C. & Gupta S., "-based Adoption of Mobile Internet : An Empirical Investigation"Decision Support Systems, Vol.43, No.1 pp.111-126, 2007. https://doi.org/10.1016/j.dss.2005.05.009
  20. Davis, F. D., Bagozzi, R. & Warshaw, P. R. ,"mparison of Two Theoretical Models" Science, Vol.35, No.8 pp.982-1003, 1989.
  21. Yongshou,Chi, Moonyoung, Kang,Jeongil,Choi,"A Study of O2O-Commerce Consumers' Word-of-Mouth Intentions Based on the Value-based Adoption Model: The Comparison of Korean and Chinese Consumers," Korean telecommunications policy review, Vol.23, No.4 pp. 81-116, 2016.
  22. Davis, F. D., "Ease of Use, and User Acceptance of Information Technology" MIS Quarterly, Vol.13, No. 3, pp.319-340, 1989. https://doi.org/10.2307/249008
  23. Chandon, P., Wansink, B. & Laurent, G., "Benefit Congruency Framework of Sales Promotion Effectiveness"Journal of Marketing, Vol.64, No.4 pp.65-80, 2000. https://doi.org/10.1509/jmkg.64.4.65.18071
  24. Han, H. S. & Lim, D. S., "Personalization affect in the U-commerce"Journal of Society for e-Business Studies, Vol.9, No.3 pp.183-192, 2008.
  25. Lee, C. A., Yoon, H. J., Lee, C. H. & Lee, J. J.,"Use Mobile Wallet: Based on Value-based Adoption: An Empirical Study on Use-Diffusion of AR Technology based on VAM The e-Business Studies. Vol.20, No.1 pp.117-135, 2015. https://doi.org/10.7838/jsebs.2015.20.1.117
  26. Kim, Y. H., A Study on Adoption of IoT Smart Home Service : Based on Contingent Valuation Method and Value-Based Adoption Model, Soongsil Univeristy Doctoral Dissertation, 2016.
  27. Venkatesh, V., M. G. Morris., G. B. Davis. and F. D. Davis., "User Acceptance of Information Technology: Toward a Unified View", MIS Quarterly, Vol.27, No.3 pp.425-478, 2003. https://doi.org/10.2307/30036540
  28. Venkatesh, V., Thong, J., & 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 pp.157-178, 2012. https://doi.org/10.2307/41410412
  29. Wu, R. Z., & Lee, J. H.. Use Intention of Mobile Fingerprint Payment between UTAUT and DOI in China. Journal of Distribution Science, Vol.15, No.10, pp.15-28, 2017. https://doi.org/10.15722/jds.15.10.201710.15
  30. Sweeney, J. C. & Soutar, G. N., "Perceived Value: The Development of a Multiple Item Scale"Journal of Retailing, Vol.77, No.2 pp.203-220, 2001. https://doi.org/10.1016/S0022-4359(01)00041-0
  31. Petrick, J. F., "nsional Scale for Measuring the Perceived Value of a Service"Journal of Leisure Research, Vol.34, No.2 pp.119-134, 2002. https://doi.org/10.1080/00222216.2002.11949965
  32. Chen, Z. & Dubinsky, A. J., "Model of Perceived Customer Value in e-Commerce: A Preliminary Investigation" Psychology & Marketing, Vol.23, No.4 pp.323-347, 2003. https://doi.org/10.1002/mar.10076
  33. Parasuraman, A., " ex(TRI): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies"Journal of Service Research, Vol.2, No.4 pp.307-321, 2000. https://doi.org/10.1177/109467050024001
  34. Colby, C. and C. Thibodeaux., "Ready or Not? What Consumer Really Think about Technology," 2000 Interational CES, Las Vegas, Nevada, USA. Jan, 6-9, 2000.
  35. Poel, D. V. and J. Leunis, "Consumer Acceptance of the Internet as a Channel of Distribution," journal of Business Research, Vol.45, No.3, pp.249-256, 1999. https://doi.org/10.1016/S0148-2963(97)00236-1
  36. Jasper, C. R. and S. J. Ouellete, "Consumers' Perception of Risk and the Purchase of Apparel from Catalogs," Journal of Direct Marketing, Vol.8, pp.23-36, 1994. https://doi.org/10.1002/dir.4000080205
  37. Lin, J. C., and P. Hsieh, "The Role of Technology Readiness in Coustomers' Perception and Adoption of Self-service Technologies," International Journal of Service Industry Management, Vol.17, No.5 pp.497-517, 2006. https://doi.org/10.1108/09564230610689795
  38. D. Barclay, C. Higgins, and R. Thomson, "The Partial Least Squares(PLS) Approach to Causal Modeling, Personal Computer Adoption and Use as an Illustration," Technology Studies, Vol. 2, No. 2, pp. 285-309, 1995.
  39. E. G. Carmines and R. A. Zeller, "Reliability and Validity Assessment," SAGE Publications, 1979.
  40. W. W. Chin, "Issues and Opinion on Structural Equation Modeling," MIS Quarterly, Vol. 22, No. 1, pp. 7-16, Mar. 1998.
  41. C. Fornell and D. Lacker, "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," J. of Marketing Research, Vol.18, pp.921-950, 1981.
  42. J. F. Hair, R. E. Anderson, R. L. Tatham, and W.C. Black, "Multivariate Data Analysis," Prentice Hall, 1998.
  43. R. P. Bagozzi and Y. Yi, "On the Evaluation of Structural Models," J. of Academy of Marketing Science, Vol.16, No.1, pp.77-94, 1988.
  44. Lee Jong Man, " Examining the Smartwork Use Resistance and Non-Class-Related Behavior of Attendees in University Smartwork Class : A Motivation-Threat-Ability Framework Perspective", Vol.16, No.8, pp.39-47, 2016. https://doi.org/10.5392/JKCA.2016.16.08.039
  45. Lee Jong Man, "Effects of Informal Communication and Mindfulness Practice on the Non-Class-Related Behavior in the Team-Based Learning using Smartwork Tool: Focusing on Mediating Effects of Perceived Self-Efficacy", Vol.18, No.8, pp.63-70, 2017.
  46. LI QUAN, "A Study on Causal Relationships of Educational Service Quality-Focused on Middle School Teachers and Students in Henan Province of China", Kyonggi University MA. Thesis, 2017.
  47. Lee, Ka Hi, "The effect of service convenience on perceived value, adoption, innovation resistance and behavior intention in food delivery application", Kyunghee University Doctoral Dissertation, 2018.
  48. LI YU CHAO, "A Study on Continuous Usage Intention of SNS based on TRI and UTAUT: Focused on Kakao Talk and WeChat Users", Kyonggi University MA. Thesis, 2015.
  49. Kim, Jin Kyoung, "A Study on the Usage Intention of Category Types in the Mobile Application Based on the Technology Readiness and Acceptance Model", Kongju National University Doctoral Dissertation, 2013.
  50. Ok Lami , "The Effects of Technology Readiness on the Usage Intention of Social Shopping", Hanyang University MA. Thesis, 2011.
  51. Kim, Jeong-Wook, Choi, Chul-Yong, "Empirical Validation of Personal Information Violation Risk for Cryptocurrency with Use Intention", Journal of the Korea society of computer and information, Vol.23, No.9, pp.141-156, 2018. https://doi.org/10.9708/jksci.2018.23.09.141