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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (4): 38-47    DOI: 10.11925/infotech.2096-3467.2017.1257
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Analyzing Implemented Ideas from Open Innovation Platform with Sentiment Analysis: Case Study of Salesforce
Wang Tingting(), Wang Kaiping, Qi Guijie
School of Management, Shandong University, Ji’nan 250100, China
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Abstract  

[Objective] This study examines the impacts of user reviews on the adoption of ideas from Salesforce, an open innovation platform. [Methods] First, we divided information from Salesforce into the normative and informational categories based on the social impact theory. Then, we obtained the emotional variables of the idea’s title, content and comments with the help of text analytics to study their impacts on the idea’s implementation. [Results] The length of idea titles and contents, the title sentiment and the idea score had significant impacts on its adoption. The number of comments also influenced the comment’s sentiment. [Limitetions] We only investigated data from one platform. [Conclusions] This research helps enterprises evaluate and identify valuable ideas quickly, which also increases the probability of idea implementation.

Key wordsEnterprise Open Innovation Platform      User Generated Content      Ideas Implemented      Sentiment Analysis      Social Impact Theory     
Received: 12 December 2017      Published: 11 May 2018
ZTFLH:  G353  

Cite this article:

Wang Tingting,Wang Kaiping,Qi Guijie. Analyzing Implemented Ideas from Open Innovation Platform with Sentiment Analysis: Case Study of Salesforce. Data Analysis and Knowledge Discovery, 2018, 2(4): 38-47.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.1257     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I4/38

词汇 词性 IndexNum 正向 负向 SSM
Sad 形容词 1 0.125 -0.75 -0.625
Sad 形容词 2 0 -0.25 -0.25
Sad 形容词 3 0 -1 -1
变量 名称 解释
因变量 IdeaStatus 创意是否被采纳, 0代表未被
采纳, 1代表被采纳
信息型因素 TitleNum 标题长度
TitleSenti 标题情感, 虚拟变量, 0代表
中立, 1代表具有情感倾向
ContentNum 创意文本长度
ContentSenti 创意情感, 虚拟变量, 0代表
中立, 1代表具有情感倾向
RevSenti 评论情感
规范型因素 Ideascore 创意总得分
ReviewNum 创意所获得的总评论数
N Minimum Maximum Mean Std. Deviation
TitleNum 816 1.00 16.00 7.5990 2.92427
TitleSenti 816 .00 1.00 .1455 .35280
ContentNum 816 5.00 270.00 63.2897 25.77908
contentSenti 816 .00 1.00 .6430 .47940
IdeaScores 816 -20.00 67260.00 5.6646E2 2591.66694
ReviewNum 816 .00 377.00 11.8313 32.19419
Votes 816 .00 6824.00 63.4462 266.63481
ReviewSenti 816 .00 1.00 .4445 .34498
IdeaStatus 816 .00 1.00 .1187 .32367
模型1 P值 模型2 P值 模型3 P值
TitleNum .466*** .000 .455*** .000
ContentNum .252** .020 .282*** .010
TitleSenti(1) -1.031*** .000 -1.121*** .000
ContentSenti(1) -.204 .402 -.219 .374
RevSenti .034 .783 .196 .185
IdeaScore .049 .239 .439** .048 .487** .031
ReviewNum .004*** .003 .154 .134 .010 .945
ReviewNum*RevSenti .733** .030
Constant .003 .971 -2.268 .000 -2.370 .094
R2 0.035 0.134 0.150
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