User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China
Crowdsourcing innovation, as a new innovation pattern, helps companies reduce the risks and costs of innovation, which has received widespread attention and practical application. What is critical for improving crowdsourcing innovation performance is to understand the heterogeneity of participating...
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2019-01-01
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Online Access: | https://hrcak.srce.hr/file/329378 |
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doaj-ae4219909ade4eba882f9aa8d7cd93622020-11-25T02:49:15ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek Tehnički Vjesnik1330-36511848-63392019-01-0126513921399User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in ChinaQingliang Meng0Yi Hang1Xiaojun Chen2School of Management & Economics, Jiangsu University of Science and Technology, 301, Xuefu Road, Zhenjiang, Jiangsu 212013, ChinaSchool of Management & Economics, Jiangsu University of Science and Technology, 301, Xuefu Road, Zhenjiang, Jiangsu 212013, ChinaSchool of Management & Economics, Jiangsu University of Science and Technology, 301, Xuefu Road, Zhenjiang, Jiangsu 212013, ChinaCrowdsourcing innovation, as a new innovation pattern, helps companies reduce the risks and costs of innovation, which has received widespread attention and practical application. What is critical for improving crowdsourcing innovation performance is to understand the heterogeneity of participating users deeply, guide and motivate users to participate actively. Based on the typical characteristics of crowdsourcing innovation communities, this paper proposes a model integrating social network analysis (SNA) & K-means clustering algorithm to identify participants’ roles and conducting empirical research with Xiaomi MIUI community. The result indicates that users can be divided into nine categories: active user, positive user, negative user, bystander, creative contributor, faithful supporter, tourist, and new participant. In order to provide decision support for enterprises to govern crowdsourcing innovation virtual community effectively and improve innovation performance, this paper analyses the behavioural characteristics of each user role from two dimensions: interaction behaviour and contribution behaviour.https://hrcak.srce.hr/file/329378crowdsourcing innovationidentificationuser rolesvirtual community |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qingliang Meng Yi Hang Xiaojun Chen |
spellingShingle |
Qingliang Meng Yi Hang Xiaojun Chen User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China Tehnički Vjesnik crowdsourcing innovation identification user roles virtual community |
author_facet |
Qingliang Meng Yi Hang Xiaojun Chen |
author_sort |
Qingliang Meng |
title |
User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China |
title_short |
User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China |
title_full |
User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China |
title_fullStr |
User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China |
title_full_unstemmed |
User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China |
title_sort |
user roles in virtual community of crowdsourcing for innovation: a case study of xiaomi miui in 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 |
2019-01-01 |
description |
Crowdsourcing innovation, as a new innovation pattern, helps companies reduce the risks and costs of innovation, which has received widespread attention and practical application. What is critical for improving crowdsourcing innovation performance is to understand the heterogeneity of participating users deeply, guide and motivate users to participate actively. Based on the typical characteristics of crowdsourcing innovation communities, this paper proposes a model integrating social network analysis (SNA) & K-means clustering algorithm to identify participants’ roles and conducting empirical research with Xiaomi MIUI community. The result indicates that users can be divided into nine categories: active user, positive user, negative user, bystander, creative contributor, faithful supporter, tourist, and new participant. In order to provide decision support for enterprises to govern crowdsourcing innovation virtual community effectively and improve innovation performance, this paper analyses the behavioural characteristics of each user role from two dimensions: interaction behaviour and contribution behaviour. |
topic |
crowdsourcing innovation identification user roles virtual community |
url |
https://hrcak.srce.hr/file/329378 |
work_keys_str_mv |
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1724744632089182208 |