The purpose of this paper is to understand customers’ preferences for housing attributes in India.
The study highlights the attributes important to the customer when purchasing residential property. The Kano model has been used to understand these preferences of consumers. The data are collected across Delhi and the National Capital Region and have been analyzed using the cross-tabulation approach.
Demographics of the consumers play an important role in deciding purchase of residential real estate. Because of their income level, Indian consumers prefer low-rise residential complexes.
The study helps to understand the diverse behavior of Indian consumers when they invest in the real estate sector, especially residential.
The authors would like to acknowledge the contribution of a group of PGDM students, 2013-2015, for initial data collection and basic inputs about the real estate sector in India under the guidance of Dr Vijay Kumar Gupta, Professor, IMT Ghaziabad. Authors would like to thank the anonymous reviewers who have provided their valuable suggestions and comments. Without their insightful comments, the authors would not have been able to present this paper in its existing form.
Kumar Gupta, V. and Malhotra, G. (2016), "Determining customers’ preferences for housing attributes in India", International Journal of Housing Markets and Analysis, Vol. 9 No. 4, pp. 502-519. https://doi.org/10.1108/IJHMA-08-2015-0045Download as .RIS
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