By Topic

On Relationship Between Real Estate Enterprise E-business Model and Its Performance

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yan Ma ; Manage. Sch., Harbin Univ. of Commerce, Harbin, China ; Lu Sun

Chinese real estate enterprises, broadly affected by factors like sub-prime crisis, stock market turmoil and fierce market competition, have been vigorously seeking new marketing tools, amongst which e-commerce is one a host of companies strive to employ. This article uses statistics and SPSS software to conduct a questionnaire study based on actual conditions of 27 real estate companies in China, and points out that the deterministic factors influencing whether to adopt e-commerce business model are: intensity of industry competition, support from senior executives, organization size, costs etc. The factors influencing the choice of an application model of e-business include, inter alia, the degree of support from senior executives, organization size, industry to which the enterprise belongs, compatibility and attached risks etc. A review of the relationship between e-business models and their performance reveals the disparities in enhancing customer service, growth of economic return and improving overall corporate image. Unraveling the affecting factors of application of e-commerce models and differences between their performances would help the enterprises tailor their applications to their conditions to achieve an optimized organizational performance.

Published in:

Web Information Systems and Mining (WISM), 2010 International Conference on  (Volume:2 )

Date of Conference:

23-24 Oct. 2010