[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.
王婷婷, 王凯平, 戚桂杰. 基于情感分析的开放式创新平台创意采纳研究: 以Salesforce为例*[J]. 数据分析与知识发现, 2018, 2(4): 38-47.
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.
Blohm I, Leimeister J M, Krcmar H.Crowdsourcing: How to Benefit from (Too) Many Great Ideas[J]. MIS Quarterly Executive, 2013, 12(12): 199-211.
doi: 10.1057/jit.2013.22
[2]
Bedford D, Faust L.Online Communities and Open Innovation[J]. Industry & Innovation, 2008, 15(2): 115-123.
doi: 10.1080/13662710801970076
[3]
Gangi D P M, Wasko M. Steal My Idea! Organizational Adoption of User Innovations from a User Innovation Community: A Case Study of Dell IdeaStorm[J]. Decision Support Systems, 2009, 48(1): 303-312.
doi: 10.1016/j.dss.2009.04.004
[4]
Bayus B L.Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community[J]. Management Science, 2013, 59(1): 226-244.
doi: 10.1287/mnsc.1120.1599
[5]
Li M, Kankanhalli A, Kim S H.Which Ideas are More Likely to be Implemented in Online User Innovation Communities? An Empirical Analysis[J]. Decision Support Systems, 2016, 84: 28-40.
doi: 10.1016/j.dss.2016.01.004
[6]
Cantallops A S, Salvi F.New Consumer Behavior: A Review of Research on eWOM and Hotels[J]. International Journal of Hospitality Management, 2014, 36(1): 41-51.
doi: 10.1016/j.ijhm.2013.08.007
[7]
Chesbrough H W.The Era of Open Innovation[J]. MIT Sloan Management Review, 2003, 44(3): 35-41.
doi: 10.1007/s10107-002-0346-6
[8]
Zwass V.Co-Creation: Toward a Taxonomy and an Integrated Research Perspective[J]. International Journal of Electronic Commerce, 2010, 15(1): 11-48.
doi: 10.2753/JEC1086-4415150101
[9]
Hienerth C, Hippel V E, Berg J M.User Community vs. Producer Innovation Development Efficiency: A First Empirical Study[J]. Research Policy, 2014, 43(1): 190-201.
doi: 10.1016/j.respol.2013.07.010
[10]
Gangi P M D, Wasko M. Open Innovation Through Online Communities [A]// Knowledge Management and Organizational Learning[M]. Springer, 2009: 199-213.
[11]
Gangi P M D, Wasko M, Hooker R E. Getting Customers’ Ideas to Work for You: Learning from Dell How to Succeed with Online User Innovation Communities[J]. MIS Quarterly Executive, 2010, 9(4): 213-228.
[12]
Hossain M, Islam K M Z. Ideation Through Online Open Innovation Platform: Dell IdeaStorm[J]. Journal of the Knowledge Economy, 2015, 6(3): 611-624.
doi: 10.1007/s13132-015-0262-7
[13]
Chan K W, Li S Y, Zhu J J.Fostering Customer Ideation in Crowdsourcing Community: The Role of Peer-to-Peer and Peer-to-Firm Interactions[J]. Journal of Interactive Marketing, 2015, 31: 42-62.
doi: 10.1016/j.intmar.2015.05.003
[14]
Pang B, Lee L.Opinion Mining and Sentiment Analysis[J]. Foundations & Trends in Information Retrieval, 2008, 2(1-2): 1-135.
[15]
Thelwall M, Buckley K, Paltoglou G.Sentiment in Twitter Events[J]. Journal of the Association for Information Science & Technology, 2014, 62(2): 406-418.
(Sun Chunhua, Liu Yezheng.The Effects of Online Pre-launch Movie Trailers on the Box Office Revenue — Based on Text Sentiment Analysis Method[J]. Chinese Journal of Management Science, 2017, 25(10): 151-161.)
(Jiang Lin, Zhang Qilin.Research on Personalized Recommendation Strategy Based on Sentimental Analysis of the Reviews[J]. Information Studies: Theory & Application, 2017, 40(8): 99-104.)
doi: 10.16353/j.cnki.1000-7490.2017.08.018
(Wu Weifang, Gao Baojun, Yang Haixia, et al.The Impacts of Review on Hotel Satisfaction: A Sentiment Analysis Method[J]. Data Analysis and Knowledge Discovery, 2017, 1(3): 62-71.)
(Xiao Lu, Chen Guo, Liu Jiyun.Study on Identification of Enterprise Product Level Competitor Based on Sentiment Analysis: Taking User Reviews for Data Resources[J]. Library and Information Service, 2016, 60(1): 83-90, 93.)
doi: 10.13266/j.issn.0252-3116.2016.01.012
[20]
Ullah R, Amblee N, Kim W, et al.From Valence to Emotions: Exploring the Distribution of Emotions in Online Product Reviews[J]. Decision Support Systems, 2016, 81: 41-53.
doi: 10.1016/j.dss.2015.10.007
(Meng Yuan, Wang Hongwei, Wang Wei.The Effect of Electronic Word-of-Mouth on Sales Through Fine-gained Sentiment Analysis[J]. Management Review, 2017, 29(1): 144-154.)
(Wang Ying, Gong Huaping.Analysis of Sentiment Tendency of Big Data Online Public Opinion Based on the Sentiment Dimension—Taking “the Independent Cleaning of Nanchang University” Weibo Public Opinion Event as an Example[J]. Information Science, 2017, 35(4): 37-42.)
(Zhu Maoran, Lin Xingkai, Lu Ting, et al.Identification of Opinion Leaders in Social Networks Based on Sentimental Analysis: Evidence from an Automotive Forum[J]. Information Studies: Theory & Application, 2017, 40(6): 76-81.)
doi: 10.16353/j.cnki.1000-7490.2017.06.015
(Huang Yanting, Yang Zhong, Jin Hui, et al.A Generation Model of the Intention to Knowledge-Sharing Based on the Social Influence Theory[J]. Journal of Intelligence, 2013, 32(6): 141-146.)
doi: 10.3969/j.issn.1002-1965.2013.06.027
[25]
Burnkrant R E, Cousineau A.Informational and Normative Social Influence in Buyer Behavior[J]. Journal of Consumer Research, 1975, 2(3): 206-215.
doi: 10.1086/jcr.1975.2.issue-3
(Wu Xiyu, Guo Bin, Zhou Shasha, et al.How Online Product Reviews Affect Consumers: A Conceptual Framework Based on Social Influence Perspective[J]. Journal of Xidian University: Social Science Edition, 2015, 25(1): 1-18.)
[27]
Rogers E M.Diffusion of Innovations[J]. Journal of Continuing Education in the Health Professions, 2007, 26(1): 62-64.
[28]
Hamilton M A, Mineo P J.A Framework for Understanding Equivocation[J]. Journal of Language and Social Psychology, 1998, 17(1): 3-35.
doi: 10.1177/0261927X980171001
[29]
Sidali K L, Schulze H, Spiller A.The Impact of Online Reviews on the Choice of Holiday Accommodations [A]// Information and Communication Technologies in Tourism 2009[M]. Springer, 2009: 87-98.
[30]
Heit E, Rotello C M.The Pervasive Effects of Argument Length on Inductive Reasoning[J]. Thinking & Reasoning, 2012, 18(3): 244-277.
doi: 10.1080/13546783.2012.695161
[31]
Schemmann B, Herrmann A M, Chappin M M H, et al. Crowdsourcing Ideas: Involving Ordinary Users in the Ideation Phase of New Product Development[J]. Research Policy, 2016, 45(6): 1145-1154.
doi: 10.1016/j.respol.2016.02.003
[32]
Baccianella S, Esuli A, Sebastiani F.SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining[C]// Proceedings of the 7th International Conference on Language Resources and Evaluation, Valletta, Malta. 2010: 83-90.
[33]
Lee H, Choi K, Yoo D, et al.The More the Worse? Mining Valuable Ideas with Sentiment Analysis for Idea Recommendation[J]. Polar Biology, 2013, 36(4): 593-602.
doi: 10.1007/s00300-013-1288-6
