Improving Property Service for the City Residential Community

The city residential community tends to choose a property company to provide property services and the property company should provide satisfaction services to ensure it long employed in the residential community. To raise the property service quality for a city residential community, the demand ind...

Full description

Bibliographic Details
Main Authors: Jin Shou-Song, Wu Wei-Jun, Huang Xue-Mei
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20171203049
id doaj-84784ec0ceee4141b24290214d3ce38c
record_format Article
spelling doaj-84784ec0ceee4141b24290214d3ce38c2021-02-02T04:34:49ZengEDP SciencesITM Web of Conferences2271-20972017-01-01120304910.1051/itmconf/20171203049itmconf_ita2017_03049Improving Property Service for the City Residential CommunityJin Shou-SongWu Wei-JunHuang Xue-MeiThe city residential community tends to choose a property company to provide property services and the property company should provide satisfaction services to ensure it long employed in the residential community. To raise the property service quality for a city residential community, the demand indexes for the residential community wanting and the improvement measures for the property company adopting are designed based on relevant literature review and owner questionnaire survey. The analytic hierarchy process is used to determine the demand index weight. The improvement targets of demand indexes for the residential community are planned according to the demand indexes data obtained through questionnaire survey of some residential community owners and benchmarking residential communities. And the data of improvement measures is worked out by using the quality function deployment technology to keep a sense of proportion for improving the property service.https://doi.org/10.1051/itmconf/20171203049
collection DOAJ
language English
format Article
sources DOAJ
author Jin Shou-Song
Wu Wei-Jun
Huang Xue-Mei
spellingShingle Jin Shou-Song
Wu Wei-Jun
Huang Xue-Mei
Improving Property Service for the City Residential Community
ITM Web of Conferences
author_facet Jin Shou-Song
Wu Wei-Jun
Huang Xue-Mei
author_sort Jin Shou-Song
title Improving Property Service for the City Residential Community
title_short Improving Property Service for the City Residential Community
title_full Improving Property Service for the City Residential Community
title_fullStr Improving Property Service for the City Residential Community
title_full_unstemmed Improving Property Service for the City Residential Community
title_sort improving property service for the city residential community
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2017-01-01
description The city residential community tends to choose a property company to provide property services and the property company should provide satisfaction services to ensure it long employed in the residential community. To raise the property service quality for a city residential community, the demand indexes for the residential community wanting and the improvement measures for the property company adopting are designed based on relevant literature review and owner questionnaire survey. The analytic hierarchy process is used to determine the demand index weight. The improvement targets of demand indexes for the residential community are planned according to the demand indexes data obtained through questionnaire survey of some residential community owners and benchmarking residential communities. And the data of improvement measures is worked out by using the quality function deployment technology to keep a sense of proportion for improving the property service.
url https://doi.org/10.1051/itmconf/20171203049
work_keys_str_mv AT jinshousong improvingpropertyserviceforthecityresidentialcommunity
AT wuweijun improvingpropertyserviceforthecityresidentialcommunity
AT huangxuemei improvingpropertyserviceforthecityresidentialcommunity
_version_ 1724305493170585600