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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Main Authors: Qingliang Meng, Yi Hang, Xiaojun Chen
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2019-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/329378
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spelling 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
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