Journal of Korea Trade

Korea Trade Research Association (한국무역학회)
권호 표지
DOI QR코드

DOI QR Code

IoT Makes Life Simpler: How to Improve the Chinese Consumer's Intention to Use of LG HomNet Smart Home

  • Xiangdong Shen (Business School, Changshu Institute of Technology) ;
  • Xi Chen (Business School, Shandong Jianzhu University) ;
  • Yuting Jiang (Business School, Changshu Institute of Technology) ;
  • Haixin Ji (Business School, Changshu Institute of Technology)
  • Received : 2021.12.20
  • Accepted : 2022.02.11
  • Published : 2022.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose - The paper aims to develop the theory of TAM and perceived risk through a more comprehensive and rigorous understanding of the influencing factors of the consumer's adoption of LG HomNet smart home from the perspective of trade-offs. Design/methodology - Based on the TAM and perceived risk theory, combined with the individual characteristics of consumers in the context of information technology as the external factors of the technology acceptance model, this paper constructs a theoretical model of the factors affecting the use intention of the consumer. It was empirically tested by using SEM, and survey data was collected from 458 respondents. Findings - The research results show that 9 hypotheses of the research model are supported and have reliable prediction accuracy. Consumers' perceived interest, perceived connectivity and perceived controllability have a significant positive impact on their intention to use. In addition, this paper also confirmed the mediating effect of perceived usefulness and perceived ease of use. Originality/value - Consumers are very concerned about gains and losses. Low-level performance risks, security risks, and financial risks will drive the consumer to have a stronger intention to use, and financial risks have the strongest impact. This research provides a useful implication and guidance for smart home equipment manufacturers and service providers in product and service innovation and marketing and promotion strategies.

Keywords

Acknowledgement

This study was supported by the 2021 Jiangsu Social Science Foundation Project (21GLC016) and the Jiangsu University Philosophy and Social Science Research Project (2020SJA1408).

References

  1. Ahmad, S. Z. and K. Khalid (2017), "The adoption of M-government services from the user's perspectives: Empirical evidence from the United Arab Emirates", International Journal of Information Management, 37(5), 367-379. https://doi.org/10.1016/j.ijinfomgt.2017.03.008
  2. Aldrich, F. K. Smart Homes: Past, Present and Future. Springer, 2003.
  3. Atchley, R. C. (1989), "A Continuity Theory of Normal Aging", Gerontologist, 29(2), 183-190. https://doi.org/10.1093/geront/29.2.183
  4. Bagozzi, R. P. (1989), "The legacy of technology acceptance model and a proposal for a paradigm shift", Journal of the Association for Information Systems, 8(4), 244-254. https://doi.org/10.17705/1jais.00122
  5. Balta-Ozkan, N., Boteler, B. and Amerighi, O. (2014), "European smart home market development: Public views on technical and economic aspects across the United Kingdom, Germany and Italy", Energy Research & Social Science, 3, 65-77. https://doi.org/10.1016/j.erss.2014.07.007
  6. Balta-Ozkan, N., Davidson R., Bicket, M. and Whitmarsh, L. (2013), "Social barriers to the adoption of smart homes", Energy Policy, 63, 363-374. https://doi.org/10.1016/j.enpol.2013.08.043
  7. Bauer, R. A. (1960), "Consumer behavior as risk raking" in Hancock[C]// R.S., Dynamic Marketing for a changing world. Proceedings of the 43rd conference of the American Marketing Association, 389-398.
  8. Bhattacherjee, A. and Hikmet, N. (2007), "Physicians' resistance toward healthcare information technology: a theoretical model and empirical test", European journal of information systems, 16(6), 725-737. https://doi.org/10.1057/palgrave.ejis.3000717
  9. Chan, F. T. S. and Chong, A. Y. L (2012), "A SEM-neural network approach for understanding determinants of interorganizational system standard adoption and performances", Decision Support Systems, 54, 621-630.
  10. Chen, K. and Chan, A. H. S (2014), "Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM)", Ergonomics, 57(5), 635-652. https://doi.org/10.1080/00140139.2014.895855
  11. Cheung, G. W. and Lau, R. S (2007), "Testing Mediation and Suppression Effects of Latent Variables", Organizational Research Methods, 11, 296-325. https://doi.org/10.1177/1094428107300343
  12. Chin, W.W., Gopal, A., and Salisbury, W.D. (1997), "Advancing the theory of adaptive structuration: the development of a scale to measure faithfulness of appropriation", Inf. Syst. Res. 8 (4), 342-367. https://doi.org/10.1287/isre.8.4.342
  13. Chou, J. S. and Yutami, A. N (2014), "Smart meter adoption and deployment strategy for residential buildings in Indonesia", Applied Energy, 128(1), 336-349. https://doi.org/10.1016/j.apenergy.2014.04.083
  14. Chung, J. and Tan, F. B (2004), "Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites", Information & Management, 41(7), 869-881. https://doi.org/10.1016/j.im.2003.08.016
  15. Cimperman, M., Brencic, M. M. and Trkman, P. (2017), "Analyzing older users' home telehealth services acceptance behavior-applying an extended utaut model", International Journal of Medical Informatics, 90, 22-31. https://doi.org/10.1016/j.ijmedinf.2016.03.002
  16. CSHIA (2021), 2020 China Smart Home Ecological Development White Paper, Available from https://baijiahao.baidu.com/s?id=1699619580524699195&wfr=spider&for=pc, 2021-05-13(accessed May 13, 2021).
  17. Cunningham, S. M. (1967), The major dimensions of perceived risk-Risk taking and information handling in consumer behavior. Boston: Harvard University Press.
  18. Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A. and Sharit, J. (2006), "Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement", Psychology & Aging, 21(2), 333-352. https://doi.org/10.1037/0882-7974.21.2.333
  19. Davis, F. D. (1989), "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  20. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1992), "Extrinsic and Intrinsic Motivation to Use Computers in the Workplace", Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  21. Demiris, G., Hensel, B. K., Skubic, M. and Rantz, M. (2008), "Senior residents' perceived need of and preferences for "smart home" sensor technologies", International Journal of Technology Assessment in Health Care, 24(1), 120.
  22. Deng, Z., Mo, X. and Liu, S. (2014), "Comparison of the middle-aged and older users' adoption of mobile health services in China", International Journal of Medical Informatics, 83(3), 210-224. https://doi.org/10.1016/j.ijmedinf.2013.12.002
  23. Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D., Elbanna, A.., Ravishankar, M. N. and Srivastava, S. C. (2015), "Research on information systems failures and successes: Status update and future directions", Information Systems Frontiers, 17(1), 143-157. https://doi.org/10.1007/s10796-014-9500-y
  24. Featherman, M. S. and Pavlou, P. A (2003), "Predicting E-Services Adoption: A Perceived Risk Facets Perspective", International Journal of Human Computer Studies, 59(4), 451-474. https://doi.org/10.1016/S1071-5819(03)00111-3
  25. Fornell, C. and Larcker, D. F (1981), "Evaluating structural equation models with unobservable variables and measurement error", J. Market. Res. 18 (1), 39-50. https://doi.org/10.1177/002224378101800104
  26. Gao, L. and Bai, X (2014), "A unified perspective on the factors influencing consumer acceptance of internet of things technology", Asia Pacific Journal of Marketing & Logistics, 26(2), 211-231. https://doi.org/10.1108/APJML-06-2013-0061
  27. Golant, S. M. (2017), "A theoretical model to explain the smart technology adoption behaviors of elder consumers (Elderadopt)", Journal of Aging Studies, 42, 56-73. https://doi.org/10.1016/j.jaging.2017.07.003
  28. Gram-Hanssen, K. and Darby, S. J (2018), "Home is where the smart is"? Evaluating smart home research and approaches against the concept of home", Energy Research & Social Science, 37, 94-101. https://doi.org/10.1016/j.erss.2017.09.037
  29. Guo, X., Sun, Y., Wang, N., Yan, Z. and Peng, Z. (2013), "The dark side of elderly acceptance of preventive mobile health services in China", Electronic Markets, 23(1), 49-61. https://doi.org/10.1007/s12525-012-0112-4
  30. Heart, T. and Kalderon, E (2013), "Older adults: Are they ready to adopt health-related ICT?", International Journal of Medical Informatics, 82(11), 209-231. https://doi.org/10.1016/j.ijmedinf.2012.10.003
  31. Heinz, M., Martin, P., Margrett, J. A., Yearns, M. and Chang, C. K. (2012), "Perceptions of Technology Among Older Adults", Journal of Gerontological Nursing, 39(1), 1-10.
  32. Hernndez-Encuentra, E., Pousada, M. and Gmez-Ziga, B. (2009), "ICT and Older People: Beyond Usability", Educational Gerontology, 35(3): 226-245. https://doi.org/10.1080/03601270802466934
  33. Hirschheim, R. (1988), "Information Systems and User Resistance: Theory and Practice", Computer Journal, 31(5), 398-408.
  34. Hoque, R. and Sorwar, G. (2017), "Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model", International Journal of Medical Informatics, 101, 75-84. https://doi.org/10.1016/j.ijmedinf.2017.02.002
  35. Hubert, M., Blut, M., Brock, C., Backhaus, C. and Eberhardt, T. (2017), "Acceptance of smartphone-based mobile shopping: Mobile benefits, customer characteristics, perceived risks, and the impact of application context", Psychology & Marketing, 34(2), 175-194. https://doi.org/10.1002/mar.20982
  36. Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V. and Riedl, R. (2018), "The influence of acceptance and adoption drivers on smart home usage", European Journal of Marketing, 53(6), 1073-1098.
  37. Izak, B. and Henri, B (2007), "Quo vadis TAM? Journal of the Association for Information Systems", 8(4), 211-218. https://doi.org/10.17705/1jais.00126
  38. Jacoby, J. and Kaplan, L. B (1972), The components of perceived risk. Advances in consumer research, Chicago: Association for Consumer Research.
  39. Kim, G. S., Park, S. B., and Oh, J. (2010), "An examination of factors influencing consumer adoption of short message service (SMS)", Psychology & Marketing, 25(8), 769-786.
  40. Kim, H. W. and Kankanhalli, A. (2009), "Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective", MIS Quarterly, 33(3), 567-582. https://doi.org/10.2307/20650309
  41. Kim, Y., Park, Y. and Choi, J. (2017), "A study on the adoption of IoT smart home service: using Value-based Adoption Model", Total Quality Management & Business Excellence, 8, 1-17.
  42. King, W. R. and He, J (2006), "A meta-analysis of the technology acceptance model", Information & Management, 43(6), 740-755.
  43. Lallmahomed, M. Z. I., Lallmahomed, N. and Lallmahomed, G. M. (2017), "Factors influencing the adoption of e-Government services in Mauritius", Telematics & Informatics, 34(4), 57-72. https://doi.org/10.1016/j.tele.2017.01.003
  44. Lee, C. and Coughlin, J. F (2015), "PERSPECTIVE: Older Adults' Adoption of Technology: An Integrated Approach to Identifying Determinants and Barriers", Journal of Production Innovation Management, 32(5), 747-759. https://doi.org/10.1111/jpim.12176
  45. Liang, H., Saraf, N., Hu, Q. and Xue, Y. (2007), "Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management", MIS Quarterly, 31 (1), 59-87. https://doi.org/10.2307/25148781
  46. Lorenzen-Huber, L., Boutain, M., Shankar, L. J. C. and Connelly, H. (2011), "Privacy, Technology, and Aging: A Proposed Framework". Ageing International, 36(2), 232-252. https://doi.org/10.1007/s12126-010-9083-y
  47. Lutolf, R. M. (1992), Smart Home concept and the integration of energy meters into a home-based system. Springer, IEE CONFERENCE PUBLICATION.
  48. Mani, Z. and Chouk, I (2017), "Drivers of consumers' resistance to smart products. Journal of Marketing Management, 33(1-2), 76-97. https://doi.org/10.1080/0267257X.2016.1245212
  49. Mathur, A. and Moschis, G. P (2010), "Antecedents of cognitive age: A replication and extension", Psychology & Marketing, 22(12), 969-994. https://doi.org/10.1002/mar.20094
  50. Meuter, M. L., Ostrom, A. L., Bitner, M. J. and Rountree, R. (2003), "The influence of technology anxiety on consumer use and experiences with self-service technologies", Journal of Business Research, 56(11), 899-906.
  51. Mostaghel, R. (2016), "Innovation and technology for the elderly: Systematic literature review", Journal of Business Research, 69, 4896-4900. https://doi.org/10.1016/j.jbusres.2016.04.049
  52. Muthen, B. and Draft, I. Bayesian Analysis In Mplus: A Brief Introduction, Version 2010.
  53. Nikou, S. (2015), "Mobile technology and forgotten consumers: the young-elderly", International Journal of Consumer Studies, 39(4), 294-304. https://doi.org/10.1111/ijcs.12187
  54. Ostlund, L. E. (1974), "Perceived Innovation Attributes as Predictors of Innovativeness", Journal of Consumer Research, 1(2), 23-29. https://doi.org/10.1086/208587
  55. Pal, D., Papasratorn, B., Chutimaskul, W. and Funilkul, S. (2018), "Embracing the Smart-Home Revolution in Asia by the Elderly: An End-User Negative Perception Modelling", IEEE Access, 7, 51238-51252.
  56. Park, E. and Kim, K. J (2014), "An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model", Telematics and Informatics, 31( 3), 376-385. https://doi.org/10.1016/j.tele.2013.11.008
  57. Park, E., Kim, S. H., Kim, Y. S., and Kwon, S. J. (2017), "Smart home services as the next mainstream of the ICT industry: determinants of the adoption of smart home services", Universal Access in the Information Society, 1, 1-16.
  58. Polites, G. L. and Karahanna, E. (2012), "Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance", MIS quarterly, 36(1), 21-42.
  59. Preacher, K. J. and Hayes, A. F (2008), Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models", Behavior Research Methods, 40, 879-891. https://doi.org/10.3758/BRM.40.3.879
  60. Ram, S. and Sheth, J. N (1989), "Consumer Resistance to Innovations: The Marketing Problem and its solutions", Journal of Consumer Marketing, 6(2), 5-14.
  61. Ring, P. S. and Van, A. H (1994), "Developmental Processes of Cooperative Interorganizational Relationships", The Academy of Management Review, 19(1), 90-118. https://doi.org/10.2307/258836
  62. Schepers, J. and Wetzels, M (2007), "A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects", Information & Management, 44(1), 90-103. https://doi.org/10.1016/j.im.2006.10.007
  63. Schill, M., Godefroit-Winkel, D., Diallo, M. F. and Barbarossa, C. (2019), "Consumers' intentions to purchase smart home objects: Do environmental issues matter?", Ecological Economics, 161, 176-185. https://doi.org/10.1016/j.ecolecon.2019.03.028
  64. Sebastiaan, P. T. M., Eveline, W. J. M. and Hoof, V. J. (2014), "Factors influencing acceptance of technology for aging in place: A systematic review", International Journal of Medical Informatics, 83(4), 235-248. https://doi.org/10.1016/j.ijmedinf.2014.01.004
  65. Shih, T. Y. (2013), "Determinates of Consumer Adoption Attitudes: An Empirical Study of Smart Home Services", International Journal of E-Adoption, 5(2), 40-56. https://doi.org/10.4018/jea.2013040104
  66. Shin, D., Hwang, Y., and Choo, H. (2013), "Smart TV: Are they really smart in interacting with people? Understanding the interactivity of Korean smart TV", Behaviour & Information Technology, 32(2), 156-172. https://doi.org/10.1080/0144929X.2011.603360
  67. Shin, J. and Park, Y (2018), "Who will be smart home users? An analysis of adoption and diffusion of smart homes", Technological Forecasting & Social Change, 134, 246-253. https://doi.org/10.1016/j.techfore.2018.06.029
  68. Shrout, P. E. and Bolger, N (2002), "Mediation in experimental and nonexperimental studies: new procedures and recommendations", Psychological Methods, 7, 422.
  69. Straub, D. M., Boudreau, C. and Gefen, D. (2004), "Validation guidelines for IS positivist research", Commun. AIS, 13, 380-427.
  70. Sun, H. and Zhang, P (2006), "The role of moderating factors in user technology acceptance", International Journal of Human Computer Studies, 64(2), 53-78. https://doi.org/10.1016/j.ijhcs.2005.04.013
  71. Tsai, J. M., Cheng, M. J., Tsai, H. H., Hung, S. W. and Chen, Y. L. (2019), "Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption", International Journal of Information Management, 49, 34-44. https://doi.org/10.1016/j.ijinfomgt.2019.03.003
  72. Wang, N., Tang, L. and Pan, H. (2018), "Analysis of public acceptance of electric vehicles: an empirical study in Shanghai", Technological Forecasting & Social Change, 126, 284-291. https://doi.org/10.1016/j.techfore.2017.09.011
  73. Xue, L, Yen, C. C. and Chang, L. (2012), "An exploratory study of ageing women's perception on access to health informatics via a mobile phone-based intervention", International Journal of Medical Informatics, 81(9), 637-648. https://doi.org/10.1016/j.ijmedinf.2012.04.008
  74. Yang, H., Lee, H. and Zo, H. (2017), "User acceptance of smart home services: an extension of the theory of planned behavior", Industrial management & data systems, 117(1), 68-89. https://doi.org/10.1108/IMDS-01-2016-0017
  75. Yu, E., Hong, A. and Hwang, J. (2016), "A socio-technical analysis of factors affecting the adoption of smart TV in Korea", Computers in Human Behavior, 61(C), 89-102. https://doi.org/10.1016/j.chb.2016.02.099