Thematic analysis of short-term renter preferences for housing market in Kuala Lumpur, Malaysia A case study of Airbnb
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作者:
Ho, Pui-Yee
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Univ Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, MalaysiaUniv Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, Malaysia
Ho, Pui-Yee
[1
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Low, Sheau-Ting
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Univ Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, MalaysiaUniv Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, Malaysia
Low, Sheau-Ting
[1
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Wee, Siaw-Chui
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Univ Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, MalaysiaUniv Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, Malaysia
Wee, Siaw-Chui
[1
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Choong, Weng-Wai
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Univ Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, MalaysiaUniv Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, Malaysia
Choong, Weng-Wai
[1
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机构:
[1] Univ Teknol Malaysia, Dept Real Estate, Fac Built Environm & Surveying, Johor Baharu, Malaysia
Purpose The purpose of this paper is to propose a short-term renters' preference profile for peer-to-peer (P2P) accommodation selection in the housing market in Kuala Lumpur, Malaysia. The emergence of P2P accommodation was initiated by the concept of a sharing economy, allowing the peer provider to share personal properties with the peer end-users. As the housing market has become more competitive, understanding the preference profile among short-term renters is advantageous to offer a matching marketing mix to the targeted customers. Design/methodology/approach This study uses qualitative method associated with thematic analysis. A total of 10,509 reviews on Airbnb were gathered from 377 properties in Kuala Lumpur Federal Territory from 2013 to 2017. Thematic analysis assisted by NVivo software was applied to analyse the empirical data. In total, 14 attributes were identified which could be categorised into 5Ps. The concept of 5Ps adopted from modern marketing is commonly used to categorise the strategies in the marketing process. In the current context, 5Ps is used to categorise the preference of the short-term renter in their selection of P2P accommodation including product, price, promotion, process and people. Findings This paper has developed a preference profile for P2P accommodation selection in Malaysia's housing market. In total, 14 attributes were identified and categorised into the 5Ps of marketing mix. The results showed that the majority of short-term renters were concerned mostly with product (73.2 per cent), followed by people (14.5 per cent), process (10.1 per cent), price (2.0 per cent) and promotion (0.2 per cent). Originality/value This study contributes to existing literature with a novel case in Malaysia's housing market by identifying the short-term renter's preference in the P2P accommodation selection in the Malaysian housing market, specifically in Kuala Lumpur. The preference profile provides guidance for property owners and developers in the housing market to offer the right product in enhancing the marketability and rentability of the property.
机构:
Univ Malaya, Fac Built Environm, Ctr Study Urban & Reg Real Estate SURE, Kuala Lumpur, MalaysiaUniv Malaya, Fac Built Environm, Ctr Study Urban & Reg Real Estate SURE, Kuala Lumpur, Malaysia
Mohd, Ibrahim
Ahmad, Faizah
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Univ Malaya, Fac Built Environm, Ctr Study Urban & Reg Real Estate SURE, Kuala Lumpur, MalaysiaUniv Malaya, Fac Built Environm, Ctr Study Urban & Reg Real Estate SURE, Kuala Lumpur, Malaysia
Ahmad, Faizah
Aziz, Wan
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Univ Malaya, Fac Built Environm, Ctr Study Urban & Reg Real Estate SURE, Kuala Lumpur, MalaysiaUniv Malaya, Fac Built Environm, Ctr Study Urban & Reg Real Estate SURE, Kuala Lumpur, Malaysia
机构:
Univ Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, ScotlandUniv Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, Scotland
Wang, Yang
Livingston, Mark
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Univ Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, Scotland
Univ Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow G12 8RZ, ScotlandUniv Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, Scotland
Livingston, Mark
McArthur, David P.
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Univ Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, ScotlandUniv Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, Scotland
McArthur, David P.
Bailey, Nick
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Univ Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, ScotlandUniv Glasgow, Urban Big Data Ctr, Sch Social & Polit Sci, Glasgow, Scotland
机构:
Univ Malaya, Dept Bldg Surveying, Fac Built Environm, Kuala Lumpur 50603, MalaysiaUniv Malaya, Dept Bldg Surveying, Fac Built Environm, Kuala Lumpur 50603, Malaysia
Zaid, Suzaini M.
Graham, Peter
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Global Bldg Performance Network, 51 Rue St Anne, Paris, FranceUniv Malaya, Dept Bldg Surveying, Fac Built Environm, Kuala Lumpur 50603, Malaysia
机构:
Univ Tasmania, Housing & Community Res Unit HACRU, Private Bag 22, Hobart, Tas 7001, AustraliaUniv Tasmania, Housing & Community Res Unit HACRU, Private Bag 22, Hobart, Tas 7001, Australia
Verdouw, Julia
Eccleston, Richard
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Univ Tasmania, Housing & Community Res Unit HACRU, Private Bag 22, Hobart, Tas 7001, AustraliaUniv Tasmania, Housing & Community Res Unit HACRU, Private Bag 22, Hobart, Tas 7001, Australia
机构:
Int Islamic Univ Malaysia, Dept Econ, Fac Econ & Management Sci, Kuala Lumpur 50728, MalaysiaInt Islamic Univ Malaysia, Dept Econ, Fac Econ & Management Sci, Kuala Lumpur 50728, Malaysia
Afroz, Rafia
Masud, Muhammad Mehedi
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Univ Malaya, Fac Econ & Adm, Kuala Lumpur 50603, MalaysiaInt Islamic Univ Malaysia, Dept Econ, Fac Econ & Management Sci, Kuala Lumpur 50728, Malaysia
Masud, Muhammad Mehedi
Akhtar, Rulia
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Int Islamic Univ Malaysia, Dept Econ, Fac Econ & Management Sci, Kuala Lumpur 50728, MalaysiaInt Islamic Univ Malaysia, Dept Econ, Fac Econ & Management Sci, Kuala Lumpur 50728, Malaysia
Akhtar, Rulia
Duasa, Jarita Bt
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Int Islamic Univ Malaysia, Dept Econ, Fac Econ & Management Sci, Kuala Lumpur 50728, MalaysiaInt Islamic Univ Malaysia, Dept Econ, Fac Econ & Management Sci, Kuala Lumpur 50728, Malaysia