摘要
介绍网络大数据的定义与内涵,总结网络大数据在网络舆情分析、市场营销分析、企业绩效分析和线上用户创新等方面的应用。通过对国内外文献的梳理,重点分析网络大数据在用户分类、用户创意质量、用户创意采纳和用户创意情感分析四方面的研究现状,并对未来研究方向进行展望。
The application of big data makes research more reliable, but it has not formed scale. This paper introduces the definition and connotation of network big data, and summarizes the application of network big data in network public opinion analysis, marketing analysis, enterprise performance analysis and online user innovation. Through the combing of domestic and foreign literatures, this paper focuses on the research status of network big data in user classification, user creative quality, user creative adoption and user creative sentiment analysis, and prospects for future research directions.
引文
[1]CHEN M, MAO S, LIU Y. Big data:a survey[J].Mobile Networks & Applications,2014,19(2):171-209.
[2]张引,陈敏,廖小飞.大数据应用的现状与展望[J].计算机研究与发展,2013,50(s2):216-233.
[3]李学龙,龚海刚.大数据系统综述[J].中国科学:信息科学,2015,45(1):1-44.
[4]LEE D, HOSANAGAR K,NAIR H. Advertising content and consumer engagement on social media: evidence from Facebook[J]. Management Science,2017,64(11):4967-5460.
[5]GOH K Y, HENG C S, LIN Z. Social media brand community and consumer behavior: quantifying the relative impact of user- and marketer-generated content[J].Information Systems Research ,2013,24(1):88-107.
[6]BERTSCHEK I, KESLER R. Let the user speak: is feedback on facebook a source of firms’ innovation?[J]. SSRN Electronic Journal, 2017,17(15):25-63.
[7]LUO X, ZHANG J, DUAN W. Social media and firm equity value[J].Social Science Electronic Publishing,2013,24(1):146-163.
[8]李琦.西方管理会计问卷调查文献综述:基于研究方法的视角[J].国外社会科学,2012(1):131-137.
[9]范津砚,叶斌,章震宇,等.探索性因素分析:最近10年的评述[J].心理科学进展,2003(11):579-585.
[10]FULLER J, HUTTER K, HAUTZ J, et al. User roles and contributions in innovation-contest communities[J].Journal of Management Information Systems,2014, 31(1):273-308.
[11]FUGER S, SCHIMPF R, FULLER J. Network structure and user roles of a crowd sourcing community:the context of social innovations for a development project[C]. Hawaii: Hawaii International Conference on System Sciences,2017:1-11.
[12]TORAL S L, MARTINEZ-TORRES M R, BARRERO F. Analysis of virtual communities supporting OSS projects using social network analysis[J].Information and Software Technology ,2010,52(3):296-303.
[13]HAUTA J, HUTTER K, MATZLER K, et al. How to establish an online innovation community? The role of users and their innovative content[C].Hawaii: Hawaii International Conference on System Sciences,2010,6(1):1-11.
[14]戚桂杰,李奕莹.企业开放式创新社区用户贡献度研究[J].科技进步与对策,2016(14):82-87.
[15]王婷婷,贺珂,王凯平.社会资本视角下开放式创新平台用户行为研究:以美创为例[J].科技进步与对策,2018(6):7-13.
[16]DEAN D L, HENDER J M, RODGERS T L. Identifying quality, novel, and creative ideas: constructs and scales for idea evaluation[J]. Journal of the Association for Information Systems ,2006,7(10):646-699.
[17]JONSON B. Design ideation: the conceptual sketch in the digital age[J]. Design Studies,2005,26(6):613-624.
[18]DIEHL M,STROEBE W. Productivity loss in brainstorming groups: toward the solution of a riddle[J].Journal of Personality and Social Psychology,1987(53):497-509.
[19]SCHUHMACHER M C, KUESTER S. Identification of lead user characteristics driving the quality of service innovation ideas[J].Creativity & Innovation Management,2012,21(4):427-442.
[20]BULLINGER A C, NEYER A K, RASS M, et al. Community-based innovation contests: where competition meets cooperation[J].Creativity & Innovation Management,2010,19(3):290–303.
[21]ADAMCZYK S, BULLINGER A C, MOESLEIN K M. Commenting for new ideas: insights from an open innovation platform[J].International Journal of Technology Intelligence & Planning,2011,7(3):232-249.
[22]李丹,胡珑瑛.在线品牌社区用户间互动对产品创意质量影响的实证研究[J].技术经济,2018,37(2):21-27.
[23]杨光,汪立.思维定势如何影响创意质量:基于“众包”平台的实证研究 [J].管理世界,2017(12):109-188.
[24]刘倩,孙宝文.COI社区在线交互对用户创意质量的影响:专业成功经验的调节效应[J].南开管理评论,2018(2):16-27.
[25]YE H,KANKANHALLI A, HUBER M J, et al. Collaboration and the quality of user generated ideas in online innovation communities[J].Social Science Electronic Publishing,2012,23(1).:140-175.
[26]YE J,BLOHM I,BRETSCHNEIDER U, et al. Promoting the quality of user generated ideas in online innovation communities: a knowledge collaboration perspective[C]. Hong Kong:International Conference on Information Systems,2016:16-32.
[27]刘波,马永斌.网络环境中用户努力与创新观点质量[J].消费经济,2016(5):73-81.
[28]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.
[29]CULNAN M, MCHUGH P,ZUBILLAGA J. How large U.S. companies can use twitter and other social media to gain business value[J].MIS Quarterly Executive,2010,9(4):243-259.
[30]BAYUS B L. Crowdsourcing new product ideas over time:an analysis of the Dell IdeaStorm community[J].Management Science ,INFORMS Annual Meeting,2013 , 59 (1) :226-244.
[31]LEE H J, SUH Y M. An analysis of organizational-adoptable and user-favorable ideas in a crowdsourcing community:focused on my starbucksIdea.com[J].Journal of Korean Institute of Intelligent Systems,2013,12(1) : 69-81.
[32]YOO D,CHOI K,LEE H J, et al. An ontology-based co-creation enhancing system for idea recommendation in an online community[J]. ACM SIGMIS Database : the Database for Advances in Information Systems,2015 , 46 (3) :9-22.
[33]MOKTER H, ZAHIDUL K M. Ideation through online open innovation platform: Dell Idea Storm[J].Journal of the Knowledge Economy,2015 , 6 (3) :611-624.
[34]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Sales force为例[J].数据分析与知识发现,2018(4):38-47.
[35]LEE H J, SUH Y. Who creates value in a user innovation community? A case study of My StarbucksIdea.com[J].Online Information Review,2016,40(2):170-186.
[36]LEE H J, JEONG S, SUH Y. The influence of negative emotions in an online brand community on customer innovation activities[J].Rocky Mountain Journal of Mathematics,2014,46(4):1854-1863.