Influencing Factors of Smart Community Service Quality: Evidence from China

Smart community is an important constituent part of a smart city and an extension and deepening of the concept of the latter. When it comes to smart community, the digitalization upgrading of traditional community service is conducted via information technology, in an effort to improve the service e...

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Main Authors: Fengke Wang, Juzheng Zhang, Panke Zhang*
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/379415
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spelling doaj-c3c1d3e672fb44cdaae83740925e357c2021-07-22T22:37:41ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek Tehnički Vjesnik1330-36511848-63392021-01-0128411871196Influencing Factors of Smart Community Service Quality: Evidence from ChinaFengke Wang0Juzheng Zhang1Panke Zhang*2Henan University of Science and Technology, No.263, Kaiyuan Avenue, Luolong District, Luoyang, Henan, 471000, ChinaHenan University of Science and Technology, No.263, Kaiyuan Avenue, Luolong District, Luoyang, Henan, 471000, ChinaHenan University of Science and Technology, No.263, Kaiyuan Avenue, Luolong District, Luoyang, Henan, 471000, ChinaSmart community is an important constituent part of a smart city and an extension and deepening of the concept of the latter. When it comes to smart community, the digitalization upgrading of traditional community service is conducted via information technology, in an effort to improve the service experience of community residents and elevate their happiness index. From social functions, smart community also has the advantages in facilitating the smart transformation of cities, promoting the harmonious society construction, and improving governmental efficiency and image, among others. However, various problems persist in the construction and development process of a smart community, such as mismatching service contents and low service quality. To explore the influencing factors of smart community service quality, a total of 16 influencing factors were extracted from 5 dimensions: service object, service subject, government role, management system, and service content. The relationships among the influencing factors were analyzed via the decision-making trial and evaluation laboratory (DEMATEL)-interpretative structural modeling (ISM) composite model, and a multi-order explanation model was constructed for these influencing factors. Result shows that the legal guarantee is the root cause influencing the smart community service quality. Development standard, basic service, and expected service are deep influencing factors that play mediating roles. Middle-layer factors such as service and operating systems have a direct bearing on quality perception. The surface-layer factors directly decide residential assessment on the smart community service quality. This study has also manifested the feasibility of the integrated DEMATEL-ISM method in analyzing the action mechanism of influencing factors for smart community service quality, providing a new analytical idea and modeling method for the smart community service quality.https://hrcak.srce.hr/file/379415community service qualityDEMATEL-ISMinfluencing factorsmart community
collection DOAJ
language English
format Article
sources DOAJ
author Fengke Wang
Juzheng Zhang
Panke Zhang*
spellingShingle Fengke Wang
Juzheng Zhang
Panke Zhang*
Influencing Factors of Smart Community Service Quality: Evidence from China
Tehnički Vjesnik
community service quality
DEMATEL-ISM
influencing factor
smart community
author_facet Fengke Wang
Juzheng Zhang
Panke Zhang*
author_sort Fengke Wang
title Influencing Factors of Smart Community Service Quality: Evidence from China
title_short Influencing Factors of Smart Community Service Quality: Evidence from China
title_full Influencing Factors of Smart Community Service Quality: Evidence from China
title_fullStr Influencing Factors of Smart Community Service Quality: Evidence from China
title_full_unstemmed Influencing Factors of Smart Community Service Quality: Evidence from China
title_sort influencing factors of smart community service quality: evidence from china
publisher Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
series Tehnički Vjesnik
issn 1330-3651
1848-6339
publishDate 2021-01-01
description Smart community is an important constituent part of a smart city and an extension and deepening of the concept of the latter. When it comes to smart community, the digitalization upgrading of traditional community service is conducted via information technology, in an effort to improve the service experience of community residents and elevate their happiness index. From social functions, smart community also has the advantages in facilitating the smart transformation of cities, promoting the harmonious society construction, and improving governmental efficiency and image, among others. However, various problems persist in the construction and development process of a smart community, such as mismatching service contents and low service quality. To explore the influencing factors of smart community service quality, a total of 16 influencing factors were extracted from 5 dimensions: service object, service subject, government role, management system, and service content. The relationships among the influencing factors were analyzed via the decision-making trial and evaluation laboratory (DEMATEL)-interpretative structural modeling (ISM) composite model, and a multi-order explanation model was constructed for these influencing factors. Result shows that the legal guarantee is the root cause influencing the smart community service quality. Development standard, basic service, and expected service are deep influencing factors that play mediating roles. Middle-layer factors such as service and operating systems have a direct bearing on quality perception. The surface-layer factors directly decide residential assessment on the smart community service quality. This study has also manifested the feasibility of the integrated DEMATEL-ISM method in analyzing the action mechanism of influencing factors for smart community service quality, providing a new analytical idea and modeling method for the smart community service quality.
topic community service quality
DEMATEL-ISM
influencing factor
smart community
url https://hrcak.srce.hr/file/379415
work_keys_str_mv AT fengkewang influencingfactorsofsmartcommunityservicequalityevidencefromchina
AT juzhengzhang influencingfactorsofsmartcommunityservicequalityevidencefromchina
AT pankezhang influencingfactorsofsmartcommunityservicequalityevidencefromchina
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