Technology Acceptance Model: A Review
Abstract
The use of internet real estate search engines can be an important tool for agents and buyers alike in the information search stage of real estate purchase. Using the Technology Acceptance Model (TAM), a sample of New Zealand purchasers’ attitudes and behavior are examined to determine the factors that influence the adoption of this tool in this high-involvement purchase situation. Results suggest that the traditional TAM constructs of perceived usefulness and perceived ease of use along with the intrinsic motivation category of perceived enjoyment have significant relationships with purchasers’ attitudes towards and intention to adopt real estate search engines. Managerial and academic implications are given.
References
1. Baryla E, Zumpano L, Elder H. An investigation of buyer search in the residential real estate market under
different market conditions. Journal of Real Estate Research. 2000;20(1-2):75-92. [Google Scholar]
2. Baryla E, Ztanpano L. Buyer search duration in the residential real estate market: The role of the real estate
agent. Journal of Real Estate Research. 1995;10(1):1-3. [Google Scholar]
3. Bruner II GC, Kumar A. Explaining consumer acceptance of handheld Internet devices. Journal of Business
Research. 2005;58(5):553-8. [Google Scholar]
4. Gillenson ML, Sherrell DL. Enticing online consumers: an extended technology acceptance perspective.
Information & Management. 2002;39(8):705-19. [Google Scholar]
5. Clark WA, Smith TR. Housing market search behavior and expected utility theory: 2. The process of search.
Environment and Planning A. 1982;14(6):717-37. [Google Scholar]
6. Davis FD. Perceived usefulness, perceived ease of use, user acceptance of information technology. MIS
Quarterly. 1989, pp.319-40. [Google Scholar]
7. Findsen A. Buying a first home: Generation X in the Auckland housing market. Thesis for Master of Arts in
Geography, The University of Auckland. 2005.
8. Fishbein M, Ajzen I. Belief, attitude, intention, behavior: An introduction to theory and research. 1975. [Google
Scholar]
9. Ford JS, Rutherford RC, Yavas A. The effects of the internet on marketing residential real estate. Journal
of Housing Economics. 2005;14(2):92-108. [Google Scholar]
10. Igbaria M, Iivari J, Maragahh H. Why do individuals use computer technology? A Finnish case study.
Information & Management. 1995;29(5):227-38. [Google Scholar]
11. Konana P, Balasubramanian S. The social–economic– psychological model of technology adoption and usage:
an application to online investing. Decision Support Systems. 2005;39(3):505-24. [Google Scholar]
12. Lin JC, Lu H. Towards an understanding of the behavioral intention to use a web site. International
Journal of Information Management. 2000;20(3):197- 208. [Google Scholar]
13. Littlefield JE, Bao Y, Cook DL. Internet real estate information: are home purchasers paying attention
to it? Journal of Consumer Marketing. 2000 Dec 1. [Google Scholar]
14. Luarn P, Lin HH. Toward an understanding of the behavioral intention to use mobile banking. Computers
in Human Behavior. 2005;21(6):873-91. [Google Scholar]
15. Moon JW, Kim YG. Extending the TAM for a World- Wide-Web context. Information & Management.
2001;38(4):217-30. [Google Scholar]
different market conditions. Journal of Real Estate Research. 2000;20(1-2):75-92. [Google Scholar]
2. Baryla E, Ztanpano L. Buyer search duration in the residential real estate market: The role of the real estate
agent. Journal of Real Estate Research. 1995;10(1):1-3. [Google Scholar]
3. Bruner II GC, Kumar A. Explaining consumer acceptance of handheld Internet devices. Journal of Business
Research. 2005;58(5):553-8. [Google Scholar]
4. Gillenson ML, Sherrell DL. Enticing online consumers: an extended technology acceptance perspective.
Information & Management. 2002;39(8):705-19. [Google Scholar]
5. Clark WA, Smith TR. Housing market search behavior and expected utility theory: 2. The process of search.
Environment and Planning A. 1982;14(6):717-37. [Google Scholar]
6. Davis FD. Perceived usefulness, perceived ease of use, user acceptance of information technology. MIS
Quarterly. 1989, pp.319-40. [Google Scholar]
7. Findsen A. Buying a first home: Generation X in the Auckland housing market. Thesis for Master of Arts in
Geography, The University of Auckland. 2005.
8. Fishbein M, Ajzen I. Belief, attitude, intention, behavior: An introduction to theory and research. 1975. [Google
Scholar]
9. Ford JS, Rutherford RC, Yavas A. The effects of the internet on marketing residential real estate. Journal
of Housing Economics. 2005;14(2):92-108. [Google Scholar]
10. Igbaria M, Iivari J, Maragahh H. Why do individuals use computer technology? A Finnish case study.
Information & Management. 1995;29(5):227-38. [Google Scholar]
11. Konana P, Balasubramanian S. The social–economic– psychological model of technology adoption and usage:
an application to online investing. Decision Support Systems. 2005;39(3):505-24. [Google Scholar]
12. Lin JC, Lu H. Towards an understanding of the behavioral intention to use a web site. International
Journal of Information Management. 2000;20(3):197- 208. [Google Scholar]
13. Littlefield JE, Bao Y, Cook DL. Internet real estate information: are home purchasers paying attention
to it? Journal of Consumer Marketing. 2000 Dec 1. [Google Scholar]
14. Luarn P, Lin HH. Toward an understanding of the behavioral intention to use mobile banking. Computers
in Human Behavior. 2005;21(6):873-91. [Google Scholar]
15. Moon JW, Kim YG. Extending the TAM for a World- Wide-Web context. Information & Management.
2001;38(4):217-30. [Google Scholar]
Published
2023-08-09
How to Cite
KUMAR, Mukesh.
Technology Acceptance Model: A Review.
Journal of Advanced Research in Information Technology, Systems and Management, [S.l.], v. 7, n. 1, p. 4-7, aug. 2023.
Available at: <http://thejournalshouse.com/index.php/information-tech-systems-mngmt/article/view/773>. Date accessed: 19 may 2024.
Issue
Section
Review Article
