Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Knowledge influences on perception of innovation drivers for sustainable housing development models

Knowledge influences on perception of innovation drivers for sustainable housing development models This paper demonstrates the impact of knowledge sharing on the perception of innovation drivers for affordable housing, with a focus on the community land trust shared equity housing model (CLT SEHM). In the context of a competitive housing sector, the research identified and validated drivers for affordable housing innovation through CLT SEHM development. Moreover, data was sought through semi structured interviews and a questionnaire survey. The research employed binary logistic regression to test if there are significant effects of CLT SEHM knowledge on respondents' perceptions. The paper confirms the influence of knowledge on individual perceptions of innovation drivers. Consequently, the predisposition of policy makers or communities to support innovation in affordable housing delivery could be positively influenced by the level of knowledge available to potential project beneficiaries and housing development stakeholders as a whole. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Knowledge Management Studies Inderscience Publishers

Knowledge influences on perception of innovation drivers for sustainable housing development models

Loading next page...
 
/lp/inderscience-publishers/knowledge-influences-on-perception-of-innovation-drivers-for-JIWfrAHxFV

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1743-8268
eISSN
1743-8276
DOI
10.1504/IJKMS.2020.105070
Publisher site
See Article on Publisher Site

Abstract

This paper demonstrates the impact of knowledge sharing on the perception of innovation drivers for affordable housing, with a focus on the community land trust shared equity housing model (CLT SEHM). In the context of a competitive housing sector, the research identified and validated drivers for affordable housing innovation through CLT SEHM development. Moreover, data was sought through semi structured interviews and a questionnaire survey. The research employed binary logistic regression to test if there are significant effects of CLT SEHM knowledge on respondents' perceptions. The paper confirms the influence of knowledge on individual perceptions of innovation drivers. Consequently, the predisposition of policy makers or communities to support innovation in affordable housing delivery could be positively influenced by the level of knowledge available to potential project beneficiaries and housing development stakeholders as a whole.

Journal

International Journal of Knowledge Management StudiesInderscience Publishers

Published: Jan 1, 2020

There are no references for this article.