基于公众可获得信息的团购网信用特性研究

管晓永, 陈红, 刘润然, 佘莉

科研管理 ›› 2013, Vol. 34 ›› Issue (5) : 144-152.

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科研管理 ›› 2013, Vol. 34 ›› Issue (5) : 144-152.
论文

基于公众可获得信息的团购网信用特性研究

  • 管晓永1, 陈红2, 刘润然1, 佘莉1
作者信息 +

The credit behavior characteristics of online group buying businessbased on the information available to the public

  • Guan Xiaoyong1, Chen Hong2, Liu Runran1, She Li1
Author information +
文章历史 +

摘要

2010年初兴起中国的网络团购,经过短短的一年半疯狂扩张便急剧衰落,最主要原因是业内的信用乱象。网络团购信用失范的普遍性和严重性不仅损害了消费者的权益,打击了他们对网络团购的信心,而且最终制约了网络团购业自身的发展——2010年8月起大批团购网站相继倒闭。很明显,信用重建是中国网络团购业未来发展的战略需要,也是当前求生的必然选择。但是,网络环境下电子商务信用管理研究才刚刚起步,而其所依赖的网络信用理论的研究则基本空白。基此,本文以传统信用理论为指导,基于公众可获得信息开展团购网信用行为的基本特性研究,以期为网络团购及其他电子商务信用管理创新提供理论基础。

Abstract

Online group buying industry has emerged since the beginning of 2010 in China; however it has sharply declined only after a one and half years of crazy development. Credit chaos is the main cause for the decline. Prevalence and severity of credit loss in online group buying industry not only harm the interests of consumers, cracking down their confidence in the online group buying, but also ultimately constrain its own development. Since August 2010, a large number of online group buying businesses have gone bankruptcy one after the other. It is clear that credit rebuilding is the strategic demand for the future development of online group buying industry in China, and is also the inevitable choice for the current survival of the industry. However, the study on the credit management technology of e-commerce under the network environment has just started, and the credit theory of e-business that it depends on is basically blank. Based on that, guiding by traditional credit theory, the study on the credit behavior characteristics of online group buying business based on the information available to the public is conducted in order to provide the theoretical basis for the credit management of online group buying and other e-businesses.

关键词

电子商务 / 网络团购 / 信用 / 行为特性

Key words

e-business / online group buying / credit / behavior characteristic

引用本文

导出引用
管晓永, 陈红, 刘润然, 佘莉. 基于公众可获得信息的团购网信用特性研究[J]. 科研管理. 2013, 34(5): 144-152
Guan Xiaoyong, Chen Hong, Liu Runran, She Li. The credit behavior characteristics of online group buying businessbased on the information available to the public[J]. Science Research Management. 2013, 34(5): 144-152
中图分类号: F276.30   

参考文献

[1] Adnan Khashman.Credit risk evaluation using neural networks: Emotional versus conventional models[J]. Applied Soft Computing 11 (2011):5477-5484. [2] Arash Bahrammirzaee 、Parviz Ahmadi.Hybrid credit ranking intelligent system using expert system and artificial neural networks[J]. Appl Intell (2011) 34: 28-46. [3] Diana Barro, Antonella Basso.Credit contagion in a network of firms with spatial interaction[J]. European Journal of Operational Research 205 (2010): 459-468. [4] Petr H jek.Municipal credit rating modelling by neural networks[J]. Decision Support Systems 51 (2011): 108-118. [5] Smaranda.Neural networks and their application in credit risk assessment——Evidence from the Romanian market[J]. Technological and Economic Development of Economy, 17:3,519-534. [6] Sonia and Eric. MIGRATION, SOCIAL NETWORKS, AND CREDIT EMPIRICAL EVIDENCE FROM PERU[J]. The Developing Economies47, no. 4 (December 2009): 383-409. [7] 胡成娟. 浅谈电子商务模式构建中电子商务信用机制的设想[J].中国高新技术企业,2011(5):31-34. [8] 蒋建洪,赵嵩正等.C2C交易中卖方信用评价因素研究[J].计算机应用研究,2011(9):52-55. [9] 李广晖.基于ANN-BP模型的电子商务信用风险形成思路[J]. 财务与金融,2008(5):96-99. [10] 王强,杨茂江等.基于统一信任的电子商务信用评价模型[J].信息安全与通信保密,2010(8):69-73.

基金

教育部人文社会科学研究一般项目资助(项目批准号:10YJA630044,项目起止时间:2010年1月1日-2013年12月31日)。


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