Please wait a minute...
New Technology of Library and Information Service  2012, Vol. Issue (10): 67-71    DOI: 10.11925/infotech.1003-3513.2012.10.11
Current Issue | Archive | Adv Search |
Research on Factor Model of Dating Sites’ Initial Trust
Wan Jun, Zhang Xiang, Pang Peipei
School of Marketing Management, Liaoning Technical University, Huludao 125105, China
Download: PDF(557 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  This paper constructs a conceptual model of initial trust and analyses the effect of the seven antecedent variables (market perception, public validity, structure quality, information quality, window friendly, security system, trust orientation) on the initial trust of the dating sites based on the literature screening. Using SPSS19.0 and Lisrel8.8 to do an empirical test and analysis of the model on the basis of the questionnaire, and the results show that market perception, public validity, information quality, window friendly, security system and trust orientation can affect the initial trust of potential users significantly. Finally, suggestions and research prospects are put forward.
Key wordsDating sites      Initial trust      Influencing factors      Conceptual model      Structural model     
Received: 13 August 2012      Published: 24 January 2013
:  G203  

Cite this article:

Wan Jun, Zhang Xiang, Pang Peipei. Research on Factor Model of Dating Sites’ Initial Trust. New Technology of Library and Information Service, 2012, (10): 67-71.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.10.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V/I10/67

[1] 百合网.2011中国人婚恋状况调查报告[EB/OL].(2012-01-26).[2012-08-29].http://news.baihe.com/weibo/2011report.doc. ( Baihe.com. The Investigation Report of Chinese Marriage Status in 2011 [EB/OL].(2012-01-26).[2012-08-29].http://news.baihe.com/weibo/2011report.doc.)
[2] Cai X, Bain M, Krzywicki A, et al.Collaborative Filtering for People to People Recommendation in Social Networks AI 2010: Advances in Artificial Intelligence [C]. In:Proceedings of AI 2010: Advances in Artificial Intelligence - the 23rd Australasian Joint Conference, Adelaide, Australia. 2011: 476-485.
[3] Gibbs J L, Ellison N B, Lai C H.First Comes Love, Then Comes Google: An Investigation of Uncertainty Reduction Strategies and Self-Disclosure in Online Dating[J].Communication Research,2011,38(1):70-100.
[4] Valkenburg P M, Peter J. Who Visits Online Dating Sites? Exploring Some Characteristics of Online Daters[J].CyberPsychology & Behavior,2007,10(6): 849-852.
[5] Hitsch G J, Hortasu A, Ariely D.What Makes You Click?—Mate Preferences in Online Dating[J].Quantitative Marketing and Economics,2010,8(4):393-427.
[6] Skopek J, Schulz F, Blossfeld H P.Partnersuche im Internet Bildungsspezifische Mechanismen bei der Wahl von Kontaktpartnern[J].Kölner Zeitschrift für Soziologie und Sozialpsychologie,2009,61(2):1-28.
[7] Sritharan R, Heilpern K, Christopher J,et al. Think I Like You: Spontaneous and Deliberate Evaluations of Potential Romantic Partners in an Online Dating Context[J].European Journal of Social Psychology,2010,40(6):1062-1077.
[8] Krzywicki A, Wobcke W, Cai X,et al.Interaction-based Collaborative Filtering Methods for Recommendation in Online Dating[C]. In:Proceedings of the 11th International Conference on Web Information Systems Engineering(WISE’10).2010:342-356.
[9] Hitsch G J,Hortasu A,Ariely D.Matching and Sorting in Online Dating[J].The American Economic Review,2010,100(1):130-163.
[10] Kisilevich S, Ang C S, Last M.Large-scale Analysis of Self-disclosure Patterns Among Online Social Networks Users: A Russian Context[J].Knowledge and Information Systems, 2011, 32 (3):609-628.
[11] Easley D, Kleinberg J.Networks,Crowds,and Markets:Reasoning about a Highly Connected World[M].Cambridge University Press,2010:65-90.
[12] Field A.Discovering Statistics Using SPSS[M]. The 3rd Edition.Los Angeles,California: SAGE Publications Ltd.,2009:673-678.
[13] 侯杰泰,温忠麟,成子娟.结构方程模型极其应用[M].北京:教育科学出版社,2010:86-96.(Hou Jietai,Wen Zhonglin,Cheng Zijuan.Structural Equation Model and Its Application[M].Beijing: Educational Science Publishing House,2010:86-96.)
[1] Luo Zheng,Li Yu’na. Influencing Factors of Collaborative Knowledge Creation in Enterprise Value Chain[J]. 现代图书情报技术, 2016, 32(5): 80-90.
[2] Peng Xixian, Feng Zhubin, Sun Xiaoling, Zhu Qinghua. The Empirical Research on Users’ Continuance Intention in Microblogging Services[J]. 现代图书情报技术, 2012, (11): 78-85.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn