基于碎片模型的社会化网络商务价值创造机理

摘要/Abstract

摘要： 在线社交网络服务已成为个人或组织之间进行信息交换的主流方式。剖析了社交网络服务为企业用户创造商务价值的机理,借鉴“碎片—组织—再组织模型”对社交网络服务的服务过程进行刻画,将碎片分为普通碎片和商务类碎片,利用管道—过滤器模型分析两类碎片在传播过程中的相互影响,提出了商务碎片传播的四种机制。探讨了个人用户、企业用户、社交网络服务运营商三者之间协同进行价值创造的机理和典型的多层社交网络价值网模式,分析了影响价值实现程度的因素和决策手段。

关键词: 社会化网络服务, 碎片—组织—再组织, 商务价值, 管道—过滤器, 价值创造

Abstract: Online Social Network Services (SNS) have become a dominate style facilitating the socially information exchange between people and organizations.The business value creation mechanism for enterprise users by Social Network Service (SNS) was analyzed.Through Fragment-Organization-Reorganization (FOR),the SNS service process was described.The fragment was divided into common and business fragments,and the interrelationship of these two fragments in propagation process was analyzed by Pipe-and-Filter model.Four propagation mechanisms of business fragment were proposed.The value creation mechanism based on collaborations between personal users,enterprise users and SNS operators were emphatically discussed,and the typical multi-layer value network for better value creation was studied.The influence factors and decision making measures for value realization were theoretically analyzed and summarized.

Key words: social network service, fragment-organization-reorganization, business value, pipe-and-filter

中图分类号:

TP399

王宇. 基于碎片模型的社会化网络商务价值创造机理[J]. .

WANG Yu. Business value creation mechanism of social network based on fragment model[J]. .

参考文献

［1］SCOTT J.Social network analysis［J］.Sociology,1988,22(1);109-127.
[2]STAAB S,DOMINGOS P,MIKE P,et al.Social networks applied［J］.IEEE Intelligent Systems,2005,20(1);80-93.
[3]JOO Y H,KIM Y,YANG S J.Valuing customers for social network services［J］.Journal of Business Research,2011,64(11);1239-1244.
[4]FALOUTSOS M,KARAGIANNIS T,MOON S.Online social networks［J］.IEEE Network,2010,24(5);4-5.
[5]CHEN Qi.How to predict the future development potentials of Pinterest and Instagram［EB/OL］.(2012-04-14)［2012-06-20］.http://www.zhihu.com/question/20169268/answer/14229241(in Chinese)［陈琪.如何预测Pinterest和Instagram的未来发展潜力［EB/OL］.(2012-04-14)［2012-06-20］.http://www.zhihu.com/question/20169268/answer/14229241.］
[6]HSIEH W T,STU J,LIANG C M,et al.A multi-level marketing framework for advertising in social network services［C］// Proceedings of International Conference on E-Business and Information System Security.Washington,D.C.,USA:IEEE,2009:1-6.
[7]CHEN Yan,LIU K J R.Understanding microeconomic behaviors in social networking;an engineering view［J］.IEEE Signal Processing Magazine,2012,29(2);53-64.
[8]ALLEN R,GARLAN D.A formal approach to software architectures［C］// Proceedings of IFIP’92.Amsterdam,the Netherlands;Elsevier,1992.
[9]XIONG Zichuan.Business logic of path［EB/OL］.(2011-02-08)［2012-06-18］.http://www.tuzei8com/2011/02/paths-business-model(in Chinese).［熊子川.Path的商业逻辑［EB/OL］.(2011-02-08)［2012-06-18］.http://www.tuzei8com/2011/02/paths-business-model.］
[10]VAN STEEN M.Graph theory and complex networks;an introduction［EB/OL］.(2010-01-03)［2012-05-30］.http://www.di.unipi.it/~ricci/book-watermarked.pdf.
[11]DE NOOY W,MRVAR A,BATAGELJ V.Exploratory social network analysis with Pajek［M］.2nd ed.Cambridge,UK;Cambridge University Press,2012.
[12]BORGATTI S P,MEHRA A,BRASS D J,et al.Network analysis in the social sciences［J］.Science,2009,323(5916);892-895.
[13]KANG Le,XING Jiwu,WANG Yuewu.The trust expansion and control in social network service［J］.Computer Research and Development,2010,47(9);1611-1621(in Chinese)［康乐,荆继武,王跃武.社会化网络服务中的信任扩张与控制［J］.计算机研究与发展,2010,47(9);1611-1621.］
[14]CHA M,MISLOVE A,GUMMADI K P.A measurement-driven analysis of information propagation in the flickr social network［C］// Proceedings of the 18th International Conference on World Wide Web.New York,N.Y.,USA;ACM,2009;721-730.
[15]LAZER D,PENTLAND A,ADAMIC L,et al.Life in the network;the coming age of computational social science［J］.Science,2009,323(5915);721-723.
[16]SANTOS E E.Computational social systems［J］.Proceedings of the IEEE,2012,100(13);1271-1272.
[17]YAN H,SU K K,SUN W.Research of factors affecting effectiveness of social network service［C］// Proceedings of 2012 IEEE Symposium on Robotics and Applications.Washington,D.C.,USA;IEEE,2012;447-450.
[18]KWON O,WEN Y.An empirical study of the factors affecting social network service use［J］.Computers in Human Behavior,2010,26(2);254-263.
[19]PRIAMBODO R,SATRIA R.User behavior pattern of mobile online social network service［C］// Proceedings of 2012 International Conference on Cloud Computing and Social Networking.Washington,D.C.,USA;IEEE,2012;1-4.
[20]BRESLIN J,DECKER S.The future of social networks on the Internet;the need for semantics［J］.IEEE Internet Computing,2007,11(6);86-90.
[21]DEBNATH S,GANGULY N,MITRA P.Feature weighting in content based recommendation system using social network analysis［C］// Proceedings of the 17th International Conference on World Wide Web.New York,N.Y.,USA;ACM,2008;1041-1042.
[22]PHAM M C,CAO Y,KLAMMA R,et al.A clustering approach for collaborative filtering recommendation using social network analysis［J］.Journal of Universal Computer Science,2011,17(4);583-604.
[23]KONSTAS I,STATHOPOULOS V,JOSE J M.On social networks and collaborative recommendation［C］// Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval.New York,N.Y.,USA;ACM,2009;195-202.
[24]LIBEN-NOWELL D,KLEINBERG J.The link-prediction problem for social networks［J］.Journal of the American Society for Information Science and Technology,2007,58(7);1019-1031.
[25]CLAUSET A,MOORE C,NEWMAN M E J.Hierarchical structure and the prediction of missing links in networks［J］.Nature,2008,453(7191);98-101.
[26]GRAUPNER S,BARTOLINI C,MOTAHARI H,et al.When social media meet the enterprise［C］// Proceedings of the 2012 IEEE 16th International Enterprise Distributed Object Computing Conference.Washington,D.C.,USA;IEEE,2012;201-210.

[1]	李君,付宇涵,成雨. 基于多源数据的两化融合绩效研究分析[J]. 计算机集成制造系统, 2018, 24(第12): 2921-2932.
[2]	罗建强,李昊,彭永涛. 基于延迟策略的服务型制造系统决策模型[J]. 计算机集成制造系统, 2018, 24(第10): 2559-2566.