134
Views
2
CrossRef citations to date
0
Altmetric
Original Research

Empirical analysis of the intelligent influence factors of social network services effectiveness in e-commerce based on human learning behaviors

, &
Pages 417-425 | Published online: 11 Jun 2019

References

  • Schollmeier R, Gruber I, Finkenzeller M. Routing in mobile ad-hoc and peer-to-peer networks A Comparison. [Lecture Notes in Computer Science] Web Engineering and Peer-to-Peer Computing. NETWORKING 2002 Workshops. Pisa, Italy, May 19–24, 2002, pp. 172–187. London, UK: Springer -Verlag; 2002 Available from: https://link.springer.com/chapter/10.1007%2F3-540-45745-3_16. Accessed May 21, 2019.
  • Yeoh W, Koronios A. Critical success factors for business intelligence systems. J Comput Inf Syst. 2010;50(3):23–32.
  • Ackland R. Social network services as data sources and platforms for e-researching social networks. Soc Sci Comput Rev. 2009;27(4):481–492. doi:10.1177/0894439309332291
  • Deng S, Huang L, Xu G. Social network-based service recommendation with trust enhancement. Expert Syst Appl. 2014;41(18):8075–8084. doi:10.1016/j.eswa.2014.07.012
  • Koo Y, Lim S, Kim K, Cho Y. Analysis of user characteristics regarding social network services in South Korea using the multivariate probit model. Technol Forecast Soc Change. 2014;88:232–240. doi:10.1016/j.techfore.2014.07.001
  • Sun J, Xu W, Ma J, Sun J. Leverage RAF to find domain Experts on research social network services: a big data Analytics methodology with Map Reduce framework. Int J Prod Econ. 2015;165:185–193. doi:10.1016/j.ijpe.2014.12.038
  • Shen GC, Chiou JS, Hsiao CH, Wang CH, Li HN. Effective marketing communication via social networking site: the moderating role of the social tie. J Bus Res. 2016;69(6):2265–2270. doi:10.1016/j.jbusres.2015.12.040
  • Kwon O, Wen Y. An empirical study of the factors affecting social network services use. Comput Human Behav. 2010;26(2):254–263. doi:10.1016/j.chb.2009.04.011
  • eMarketer. Where in the world are the hottest social networking countries? 2 2012:29 Available from: https://www.emarketer.com/Article.aspx?R=1008870. Accessed May 28, 2019.
  • Lin KY, Lu HP. Why people use social networking sites: an empirical study integrating network externalities and motivation theory. Comput Human Behav. 2011;27(3):1152–1161. doi:10.1016/j.chb.2010.12.009
  • Goh KY, Heng CS, Lin Z. Social media brand community and consumer behavior: quantifying the relative impact of user- and marketer-generated content. Inf Syst Res. 2013;24(1):88–107. doi:10.1287/isre.1120.0469
  • Cachia R. Social Computing: Study on the Use and Impact of Online Social Networking. Seville: Institute for Prospective Technological Studies/JRC; 2008.
  • Rosenkrans G. The creativeness and effectiveness of online interactive rich media advertising. J Interact Advert. 2009;9(2):18–31. doi:10.1080/15252019.2009.10722152
  • Dawes J. Do data characteristics change according to the number of scale points used? An experiment using 5-point, 7-point and 10-point scales. Int J Market Res. 2008;50:61–77. doi:10.1177/147078530805000106
  • Watson HJ, Wixom BH. The current state of business intelligence. Computer. 2007;40(9):96–99. doi:10.1109/MC.2007.331
  • Park N, Kee KF, Valenzuela S. Being immersed in social networking environment: facebook groups, uses and gratifications, and social outcomes. Cyber Psychol Behav. 2009;12(6):729–733. doi:10.1089/cpb.2009.0003
  • Farh CIC, Bartol KM, Shapiro DL, Shin J. Networking abroad: a process model of how expatriates form support ties to facilitate adjustment. Acad Manage Rev. 2010;35(3):434–454.
  • Shirky C. Here comes everybody: the power of organizing without organizations. Publishers Weekly. 2007;39(5491):22.
  • Yan H, Su KK, Sun W. Research of factors affecting effectiveness of social network service. 2012 Annual IEEE Symposium on Robotics and Applications (ISRA); 2012; Kuala Lumpur:447–450.
  • Fischer G. Social Creativity: Making All Voices Heard. University of Colorado Center for Life Long Learning and Design Department of Computer Science; Boulder, CO: University of Colorado; 2005.
  • Kawamura T, Fukuhara T, Takeda H, Kono Y, Kidode M. Ubiquitous memories: a memory externalization system using physical objects. Pers Ubiquitous Comput. 2007;11(4):287–298. doi:10.1007/s00779-006-0085-4
  • Gao Q, Dai Y, Fan Z, Kang R. Understanding factors affecting perceived sociability of social software. Comput Human Behav. 2010;26(6):1846–1861. doi:10.1016/j.chb.2010.07.022
  • Bartling B, von Siemens FA. The intensity of incentives in firms and markets: moral hazard with envious agents. Labour Econ. 2010;17(3):598–607. doi:10.1016/j.labeco.2009.10.002
  • Saxena A, Khanna U. Advertising on social network sites: a structural equation modelling approach. Vision J Bus Perspect. 2013;17(1):17–25. doi:10.1177/0972262912469560
  • Hope S. Creativity, content, and policy. Arts Educ Policy Rev. 2010;111(2):39–47. doi:10.1080/10632910903455736
  • Teamcenter. Community Collaboration–Extend Your Teamcenter Data to the Enterprise Value Chain. Plano (TX); Team Center; 2010 Available from: URL: https://www.plm.automation.siemens.com/en_us/Images/2992_tcm1023-3192.pdf. Accessed May 28, 2019.
  • Ferrari E, Viviani M. Privacy in Social Collaboration. Handbook of Human Computation. Springer New York Print ISBN 978-1-4614-8805-7; Online ISBN 978-1-4614-8806-4; 2013:857–878.
  • Bolton RN, Parasuraman A, Hoefnagels A, et al. Understanding generation Y and their use of social media: a review and research agenda. J Serv Manage. 2013;24(3):245–267. doi:10.1108/09564231311326987
  • Amouzegar H, Tarokh MJ, Hidaji AN. A new perception model for web competitiveness. CONFIRM (International Conference on Information Resources Management) 2008 Proceedings, 2008 (5-1-2008), paper 6. Available from: https://aisel.aisnet.org/confirm2008/6. Accessed May 21, 2019.
  • Nelson GS. Business Intelligence 2.0: are we there yet? Sas Global Forum Users Group; April 11 - 14, 2010.; Washington: SAS Global Forum 2010 Business Intelligence/Analytics Paper 040; 2010.
  • Ma AW. Computer supported collaborative learning and social creativity: a case study of fashion design. J Inf Inf Technol Organ. 2008;3(1):17–40. doi:10.28945/129
  • Ma AW. Computer supported collaborative learning and critical reflection: a case study of fashion consumerism. Interdiscip J e-Skills Lifelong Learn. 2010;6(1):87–102. doi:10.28945/1170
  • Marco MD, Rossignoli C, Ferrari A, Mola L, Zardini A, Ferrari A. BI as a service: an attempt to understand the leading adoption factors. Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI2010); Gainesville, FL, 14–16 December 2010. Springer; 2010.
  • IBM Team. Helping to Improve the Effectiveness of Your Web Site: IBM Express Web Effectiveness Assessment. IBM (International Business Machines Corporation); 2006.
  • Huang LY, Hsieh YJ, Wu YCJ. Gratifications and social network service usage: the mediating role of online experience. Inf Manage. 2014;51(6):774–782. doi:10.1016/j.im.2014.05.004
  • Rehman UN. Network alliances and firms‘ performance: a panel data analysis of Pakistani SMEs. Eurasian Bus Rev. 2016;6(1):37–52. doi:10.1007/s40821-015-0033-1
  • Zhang SS, Kwok RCW, Lowry PB, Liu Z, Wu J. The influence of role stress on self-disclosure on social networking sites: A conservation of resources perspective. Inf Manage. 2019. doi:10.1016/j.im.2019.02.002
  • Huang J, Zhao L, Hu C. The mechanism through which members with reconstructed identities become satisfied with a social network community: a contingency model. Inf Manage. 2019. doi:10.1016/j.im.2019.01.006
  • Feeney BC. A Simple Guide to IBM SPSS Statistics for Version 20.0. Chicago, IL: SPSS Inc.; 2012.
  • Arbuckle JL. IBM SPSS Amos 20 User’s Guide, Amos Development Corporation. Chicago (IL): SPSS Inc.; 2011.