Skip to main content
SpringerLink
Log in

Social Data Analytics Tool (SODATO)

  • Conference paper
Advancing the Impact of Design Science: Moving from Theory to Practice (DESRIST 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8463))

Abstract

This paper presents the Social Data Analytics Tool (SODATO) that is designed, developed and evaluated to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, H., Chiang, R.H., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Quarterly 36, 1165–1188 (2012)

    Google Scholar 

  2. Hussain, A., Vatrapu, R.: SOGATO: A Social Graph Analytics Tool. In: The 12th European Conference on Computer Supported Cooperative Work 2011 (2011)

    Google Scholar 

  3. Kaplan, A.M., Haenlein, M.: Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons 53, 59–68 (2010)

    Article  Google Scholar 

  4. Kietzmann, J.H., Hermkens, K., Mccarthy, I.P., Silvestre, B.S.: Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons 54, 241–251 (2011)

    Article  Google Scholar 

  5. Lovett, J.: Social Media Metrics Secrets. Wiley (2011)

    Google Scholar 

  6. Mukkamala, R., Hussain, A., Vatrapu, R.: Towards a Formal Model of Social Data. IT University Technical Report Series TR-2013-169 (2013), https://pure.itu.dk/ws/files/54477234/ITU_TR_54472013_54477169.pdf

  7. Sein, M., Henfridsson, O., Purao, S., Rossi, M., Lindgren, R.: Action design research. MIS Quarterly 35, 37–56 (2011)

    Google Scholar 

  8. Vatrapu, R.: Understanding Social Business. In: Akhilesh, K.B. (ed.) Emerging Dimensions of Technology Management, pp. 147–158. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. Wang, F.-Y., Carley, K.M., Zeng, D., Mao, W.: Social computing: From social informatics to social intelligence. IEEE Intelligent Systems 22, 79–83 (2007)

    Article  Google Scholar 

  10. Zeng, D., Chen, H., Lusch, R., Li, S.-H.: Social media analytics and intelligence. IEEE Intelligent Systems 25, 13–16 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CSSL, Department of IT Management, Copenhagen Business School, Denmark

    Abid Hussain & Ravi Vatrapu

  2. MOTEL, Norwegian School of Information Technology (NITH), Norway

    Ravi Vatrapu

Authors
  1. Abid Hussain
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ravi Vatrapu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Business, Florida International University, 11200 SW 8th Street, 33199, Miami, FL, USA

    Monica Chiarini Tremblay

  2. Florida International University, 11200 SW 8th Street, 33199, Miami, FL, USA

    Debra VanderMeer

  3. University of Nevada Las Vegas, 4505 Maryland Parkway, 89154-6001, Las Vegas, NV, USA

    Marcus Rothenberger

  4. University of Tennessee Chattanooga, 615 McCallie Avenue, 37403, Chattanooga, TN, USA

    Ashish Gupta

  5. Virginia Commonwealth University, 301 W. Main Street, 23284-4000, Richmond, VA, USA

    Victoria Yoon

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Hussain, A., Vatrapu, R. (2014). Social Data Analytics Tool (SODATO). In: Tremblay, M.C., VanderMeer, D., Rothenberger, M., Gupta, A., Yoon, V. (eds) Advancing the Impact of Design Science: Moving from Theory to Practice. DESRIST 2014. Lecture Notes in Computer Science, vol 8463. Springer, Cham. https://doi.org/10.1007/978-3-319-06701-8_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06701-8_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06700-1

  • Online ISBN: 978-3-319-06701-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation