All Issue

2025 Vol.36, Issue 6 Preview Page

Research Article

Price Estimation by Type of AI Smart Housing Service Using PSM

PSM을 활용한 AI 스마트 주거서비스 유형별 가격추정

Yongkyung Cho1
조 용경1
1정회원(주저자), 아키큐플러스 대표
Corresponding AuthorYongkyung Cho, ArchiQPlus Co., Ltd., 1812, 280, Gwangpyeong-ro, Gangnam-gu, Seoul, 06360, Republic of Korea. E-mail: ykcho8@naver.com
25 December 2025. pp. 097-105
PDF XML Citation
Abstract

Due to demographic shifts and increasing GDP per capita, housing demands have become more diverse and complex. As people seek higher quality of life, the need for innovative housing services has grown. Advances in smart technologies now enable cost-effective and varied housing services that were previously difficult or expensive to provide. However, market remains underdeveloped, mainly due to mismatches between consumer demand and supplier offerings—including acceptable payment levels. This study aims to estimate appropriate prices for AI Smart Housing services using the Price Sensitivity Measurement (PSM) method. Results show that the ‘Living Support Service’ had the highest acceptable price range (12,000-19,500 KRW/Month) with an Ideal Price Point (IPP) of 14,700 KRW/Month, followed by ‘Security and Safety Services’ (11,200-14,200 KRW/Month, IPP 11,200 KRW/Month), ‘Healthcare Services’ (9,300-14,000 KRW, IPP 9,500 KRW), ‘Emotional and Community Services’ (9,300-11,000 KRW/Month, IPP 9,300 KRW/Month), and ‘Energy-Saving Services’ (5,400-9,700 KRW/Month, IPP 7,200 KRW/Month). Among all types, energy-saving services showed the lowest price sensitivity, followed by emotional and community, security and safety, healthcare, and living support services. These findings provide a pricing guideline for developing market-acceptable AI Smart Housing services and can be used as a reference for commercialization strategies or public housing policy planning.

Keywords
AI Smart Housing
Housing Service
Acceptable Price
PSM
키워드
AI 스마트 하우징
주거서비스
수용 가격
PSM
References
1

Ahn, K. U., Yang, H. J., & Chae, C. U. (2020). A direction for AI integrated smart housing platform and services technologies. Journal of the Korea Institute of Ecological Architecture and Environment, 20(6), 177-183.

10.12813/kieae.2020.20.6.177
2

Byun, H. R., Park, S. Y., Choi, R., & Lee, S. B. (2020). A study on the residents’ needs for the direction of smart housing service. Proceedings of the Korean Housing Association Conference, Vol. 32, No. 2 (pp. 245-248), Seoul, Korea.

10.6107/JKHA.2021.32.6.091
3

Byun, H. R., Park, S. Y., Choi, R., & Lee, S. Y. (2021). A study on the Residents’ Needs for the Direction of Smart Housing Service. Journal of the Korean Housing Association, 32(6), 91-100.

10.6107/JKHA.2021.32.6.091
4

Chae, C. U. (2022). AI integrated smart housing platform and services technologies. Architectural Research, 66(8), 17-20.

5

Cho, H. M., & Hwang, E. K. (2023). A study on housing service activation plan through expert survey. Journal of the Korea Academia-Industrial cooperation Society, 24(2), 124-132.

10.5762/KAIS.2023.24.2.124
6

Cho, Y. J. (2021. March). Human-centered smart home. Review of Architecture and Building Science, 65(3), 22-25.

7

Cho, Y. K., & Kim, J. H. (2022). A study on the establishment of a commercialization model for the activation of AI smart housing service and platform. Journal of the Residential Environment Institute of Korea, 20(4), 247-258.

10.22313/reik.2022.20.4.247
8

Cho, Y. K., & Yoon, Y. H. (2014). A study on the demand characteristics of AAL-based smart apartments for the Elderly. SHURI, 4(2), 11-20.

10.26700/shuri.2014.12.4.2.11
9

Cho, Y. K., & Yoon, Y. H. (2020). Core customer value for building a business model of sustainable AI smart housing residential service. Journal of the Residential Environment Institute of Korea, 18(4), 1-12.

10.22313/reik.2020.18.4.1
10

Cho, Y. K., & Yoon, Y. H. (2021). An estimation of market acceptable price for AI smart housing service and platform using PSM. Journal of the Residential Environment Institute of Korea, 19(3), 15-24.

10.22313/reik.2021.19.3.15
11

Cho, Y. K., & Yoon, Y. H. (2022). The effect of AI smart housing construction on apartment transaction prices in Seoul. Journal of the Residential Environment Institute of Korea, 20(4), 85-93.

10.22313/reik.2022.20.4.85
12

Cho, Y. K., Kim, J. H., & Yoon, Y. H. (2024). Well-being housing service business model considering the characteristics of each type of elderly household. Journal of the Residential Environment Institute of Korea, 22(1), 15-25.

10.22313/reik.2024.22.1.15
13

Cho, Y. K., Lim, J. E., & Yoon, Y. H. (2021). Establishment of commercialization strategy through AI smart housing service and platform target market selection. Journal of the Residential Environment Institute of Korea, 19(4), 1-11.

10.22313/reik.2021.19.3.15
14

Government of the Republic of Korea (2020). The 4th Basic Plan for Low Fertility and Aging Society (2021-2025): A society where people work and care together. Seoul: Author.

15

Ha, S. G., Kang, S. J., Yoon, Y. H., Kim, H. S., Kwon, O. J., Choi, B. S., Park, K. O., Kim, D. R., Jang, Y. D., & Kim, C. H. (2020). Jugeo seobiseu insaiteu [Residential service insight]. Seoul: Parkyoungsa.

16

Hwang, E. K., & Lee, J. H. (2020). A study on the current status and problems of smart housing act based on life cycle. Journal of Korean institute of architectural sustainable environment and building systems, 14(5), 497-502.

17

Kwag, B. C., Ji, W. G., Yi, S. Z., & Kim, G. T. (2023). Effects of implementing living lab to change users’ perception of smart housing residential service technologies. LHI Journal, 14(3), 125-135.

10.5804/LHIJ.2023.14.3.125
18

Kwon, O. J., Kwon, Y. J., & Choi, B. S. (2019). Case study on housing living service by type of public rental housing. Proceedings of Autumn Annual Conference of the Architectural Institute of Korea, Vol. 39, No. 2 (pp. 604-607), Seoul, Korea.

19

Lee, C. M., Na, K. Y., Kim, Y. S., & Hwang, S. J. (2007). Determining factors of potential applicants’ willingness To pay for national rental housing. Journal of Korea Planning Association, 42(6), 61-73.

20

Lee, S. O. (2018). Application study of smart home performance to the housing performance grading indication system. Autumn Annual Conference of AIK, 38(1), 112.

21

Lewis, R. C., & Shoemaker, S. (1997). Price-sensitivity measurement: A tool for the hospitality industry. Cornell Hotel and Restaurant Administration Quarterly, 38(2), 44-54.

10.1177/001088049703800223
22

Park, J. Y., Jung, S. Y., Yang, D. S., Park, S. K., & Kwon, S. G. (2017). Development & Revitalization for the LH Housing Model Based on the Service of Advanced Industry Fusion. Daejeon: Land and Housing Institute.

23

Park, U. J., Kim, J. W., & Choi, J. B. (2020). A study on the personalized seamless smart home service design for life-style care in phono sapience era. Journal of Information Technology Services, 19(5), 1-14.

24

Raab, C., Mayer, K., Shoemaker, S., & Ng, S. (2009). Activity-based pricing: Can it be applied in restaurants?. International Journal of Contemporary Hospitality Management, 21(4), 393-410.

10.1108/09596110910955668
25

Van Westendorp, P. (1976). NSS-price sensitivity meter (PSM) - A new approach to study consumer perception of price. Proceedings of the 29th ESOMAR Congress (pp. 139-167), Venice, Italy.

Information
  • Publisher :The Korean Housing Association
  • Publisher(Ko) :한국주거학회
  • Journal Title :Journal of the Korean Housing Association
  • Journal Title(Ko) :한국주거학회논문집
  • Volume : 36
  • No :6
  • Pages :097-105
  • Received Date : 2025-11-12
  • Revised Date : 2025-11-27
  • Accepted Date : 2025-12-05
  • DOI :https://doi.org/10.6107/JKHA.2025.36.6.097
Journal Informaiton Journal of the Korean Housing Association Journal of the Korean Housing Association
Archives
: the Korean Housing Association
  • NRF
  • KOFST
  • crossref crossmark
  • crossref cited-by
  • crosscheck
  • orcid
Journal Informaiton Journal Informaiton - close