Skip to main content
SpringerLink
Log in

Survey of Social Commerce Research

  • Conference paper
  • First Online:
Mining Intelligence and Knowledge Exploration (MIKE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9468))

Abstract

Social commerce is a field that is growing rapidly with the rise of Web 2.0 technologies. This paper presents a review of existing research on this topic to ensure a comprehensive understanding of social commerce. First, we explore the evolution of social commerce from its marketing origins. Next, we examine various definitions of social commerce and the motivations behind it. We also investigate its advantages and disadvantages for both businesses and customers. Then, we explore two major tools for important for social commerce: Sentiment Analysis, and Social Network Analysis. By delving into well-known research papers in Information Retrieval and Complex Networks, we seek to present a survey of current research in multifarious aspects of social commerce to the scientific research community.

A. Vajapeyajula—worked done during internship at IIIT-Hyderabad.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://blog.hubspot.com/marketing/social-ecommerce-revenue-infographic

  2. 2.

    http://www.ysearchblog.com/2005/11/14/social-commerce-via-the-shoposphere-pick-lists/

  3. 3.

    https://www.groupon.com/

  4. 4.

    http://sentiwordnet.isti.cnr.it/

  5. 5.

    http://converseon.com/

  6. 6.

    https://www.uber.com/about

  7. 7.

    http://www.gigya.com/blog/10-stats-driving-the-future-of-social-commerce/

References

  1. Bonchi, F., et al.: Social network analysis and mining for business applications. ACM Trans. Intell. Syst. Technol. 2(3), 22:1–22:37 (2011). doi:10.1145/1961189.1961194. http://doi.acm.org/10.1145/1961189.1961194. ISSN: 2157–6904

    Article  MathSciNet  Google Scholar 

  2. eca@cs.stir.ac.uk. Erik, C., et al.: Sentic Computing for social media marketing. Multimed. Tools Appl. 59(2), 557–577 (2012). http://libproxy.mit.edu/login?url= http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=aci&AN=75163262&site=eds-live. ISSN: 13807501

  3. Chingning, W., Ping, Z.: The evolution of social commerce: the people, management, technology, and information dimensions. Commun. Assoc. Inf. Syst. 31, 105–127 (2012). ISSN: 15293181. http://libproxy.mit.edu/login?& http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=bth&AN=86652306&site=eds-live

  4. Collier, M.: Social Media Commerce For Dummies. City: For Dum- mies, (2012). ISBN: 9781283803984

    Google Scholar 

  5. eunhee0103@empas.com. Kim, E.H. and ysyeob@hanmail.net Yu, S.Y.: In uential Factors on Consumers’ Purchase via Social Commerce: Use Motives, Benefits and Cost. Adv. Inf. Sci. Serv. Sci. 5(15), 2013, pp. 170–178. ISSN: 19763700. http://libproxy.mit.edu/login?url= http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=aci&AN=97949515&site=eds-live

  6. Alabhya, F., et al.: Analyzing trends in social media marketing. Int. J. Comput. Sci. Manag. Stud. 14(11), 1–5 (2014). ISSN: 22315268. http://libproxy.mit.edu/login?=http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=aci&AN=100673754&site=eds-live

  7. Guo, S., Wang, M., Leskovec, J.: The role of social networks in online shopping: information passing, price of trust, and consumer choice. In: Proceedings of the 12th ACM Conference on Electronic Commerce. EC 2011. San Jose, California, USA: ACM, 2011, pp. 157–166. ISBN: 978-1-4503-0261-6.10.1145/1993574.1993598. http://doi.acm.org/10.1145/1993574.1993598

  8. Hauss, D.: Strides in social commerce. In: Retail Touchpoints, April 2014

    Google Scholar 

  9. Hillman, S., et al.: Shared joy is double joy: the social practices of user networks within group shopping sites. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI 2013. Paris, France: ACM, 2013, pp. 2417–2426. ISBN: 978-1-4503-1899-0. 10.1145/2470654.2481335. http://doi.acm.org/10.1145/2470654.2481335

  10. Kugler, L.: Keeping online reviews honest. Commun. ACM57. 11, 20–23 (2014). ISSN 0001-0782. 10.1145/2667111. URL: http://doi.acm.org/10.1145/2667111

  11. Liang, T.-P., Turban, E.: Introduction to the special issue social commerce: a research framework for social commerce. Int. J. Electron. Commerce 16.2, 5–14, January 2011. 10.2753/JEC1086-4415160201. URL: http://dx.doi.org/10.2753/JEC1086-4415160201. ISSN 1086–4415

  12. Liang, T.-P., et al.: What drives social commerce: the role of social support and relationship quality. Int. J. Electron. Commerce 16.2, 69–90 (2011). ISSN 1086–4415.10.2753/JEC1086-4415160204. URL: http://dx.doi.org/10.2753/JEC1086-4415160204

  13. Lin, C., He, Y.: Joint sentiment/topic model for sentiment analysis. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management. CIKM 2009. Hong Kong, China: ACM, 2009, pp. 375–384. ISBN: 978-1-60558-512-3. 10.1145/1645953.1646003. URL: http://doi.acm.org/10.1145/1645953.1646003

  14. Mancuso, J., Stuth, K.: Social media refresh. Mark. Insights 26(4) 1–5, 2014. ISSN: 10408460. URL: http://libproxy.mit.edu/login?url= http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=bth&AN=102625545& site=eds-live

  15. Said, K., et al.: Framing the conversation: the role of facebook conversations in shopping for eyeglasses. In: Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & #38; Social Com- puting. CSCW 2014. Baltimore, Maryland, USA: ACM, pp. 652–661 (2014). ISBN: 978-1-4503-2540-0.10.1145/2531602.2531683. URL: http://doi.acm.org/10.1145/2531602.2531683

  16. Schweidel, D.A., Moe, W.W.: Listening in on social media: a joint model of sentiment and venue format choice. J. Mark. Res. (JMR) 51(4), 387–402 (2014), ISSN: 00222437. URL: http://libproxy.mit.edu/login?url= http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=bth&AN=98572966&site=eds-live

  17. dshin@skku.edu Dong-Hee, S.: User experience in social commerce: in friends we trust. Behav. Inf. Technol. 32(1), 52–67 (2013). ISSN: 0144929X. URL: http://libproxy.mit.edu/login?= http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=aci&AN=85041467&site=eds-live

  18. Stephen, A.T., Toubia, O.: Deriving Value from Social Commerce Networks. J. Mark. Res. (JMR) 47(2), 215–228 (2010). ISSN: 00222437. URL: http://libproxy.mit.edu/login?

  19. Terdiman, D.: Why companies monitor blogs. In: CNET (2006). URL: http://www.cnet.com/news/why-companies-monitor-blogs/

  20. Turban, E., Bolloju, N., Liang, T.-P.: Social commerce: an e-commerce perspective. In: Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business. ICEC 2010, pp. 33–42. ACM, Honolulu, Hawaii, USA (2010). ISBN: 978-1-4503-1427-5.10.1145/2389376.2389382. URL: http://doi.acm.org/10.1145/2389376.2389382

  21. Turney, P.D.: Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. ACL 2002. Philadelphia, Pennsylvania: Association for Computational Linguistics, pp. 417–424 (2002).10.3115/1073083.1073153. URL: http://dx.doi.org/10.3115/1073083.1073153

  22. Vascellaro, J.E.: Facebook settles class-action suit over beacon service. Wall Street J. (2009). URL: http://www.wsj.com/articles/SB125332446004624573

  23. Yadav, M.S., et al.: Social commerce: a contingencyframework for assessing marketing potential. J. OfInteractive Mark. 27.Soc. Media Mark., 311–323. (2013). ISSN: 1094–9968. URL: http://libproxy.mit.edu/login?url= http://search.ebscohost.com/login.aspx?direct=true&AuthType=cookie,sso,ip,uid&db=edselp&AN=S1094996813000364&site=eds-live

  24. Yang, C.C., et al.: Identifying implicit relationships between social media users to support social commerce. In: Proceedings of the 14th Annual International Conference on Electronic Commerce. ICEC 2012. Singapore, Singapore: ACM, 2012, pp. 41–47. ISBN: 978-1-4503-1197-7.10.1145/2346536.2346544. URL: http://doi.acm.org/10.1145/2346536.2346544

Download references

Author information

Authors and Affiliations

  1. MIT, Cambridge, MA, 02139, USA

    Anuhya Vajapeyajula

  2. IIIT, Hyderabad, India

    Priya Radhakrishnan & Vasudeva Varma

Authors
  1. Anuhya Vajapeyajula
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Priya Radhakrishnan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vasudeva Varma
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anuhya Vajapeyajula .

Editor information

Editors and Affiliations

  1. Norwegian Univ. of Science & Technology, Trondheim, Norway

    Rajendra Prasath

  2. Intl Inst of Info Tech Hyderabad, Hyderabad, India

    Anil Kumar Vuppala

  3. V.H.N.S.N.College (Autonomous), Virudhunagar, Tamil Nadu, India

    T. Kathirvalavakumar

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Vajapeyajula, A., Radhakrishnan, P., Varma, V. (2015). Survey of Social Commerce Research. In: Prasath, R., Vuppala, A., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2015. Lecture Notes in Computer Science(), vol 9468. Springer, Cham. https://doi.org/10.1007/978-3-319-26832-3_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26832-3_46

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26831-6

  • Online ISBN: 978-3-319-26832-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation