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

Authors: Oladotun Ayoade; Vian Ahmed

Addresses: School of the Built Environment, University of Salford, Salford, UK ' American University of Sharjah, University City, PO Box 26666, Sharjah, UAE

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.

Keywords: innovation; knowledge sharing; sustainability; community land trust; CLT; shared equity housing model; SEHM; housing development; binary logistic regression; UK; England.

DOI: 10.1504/IJKMS.2020.105070

International Journal of Knowledge Management Studies, 2020 Vol.11 No.1, pp.1 - 19

Received: 15 Feb 2018
Accepted: 07 Jul 2018

Published online: 07 Feb 2020 *

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