Skip to main content
SpringerLink
Log in

E-Commerce Development Risk Evaluation Using MCDM Techniques

  • Conference paper
  • First Online:
Decision Support Systems VI - Addressing Sustainability and Societal Challenges (ICDSST 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 250))

Included in the following conference series:

Abstract

Electronic commerce (EC) development takes place in a complex and dynamic environment that includes high levels of risk and uncertainty. This paper proposes a new method for assessing the risks associated with EC development using multi-criteria decision-making techniques A model based on the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to assist EC project managers and decision makers in formalizing the types of thinking that are required in assessing the current risk environment of their EC development in a more systematic manner than previously. The solution includes the use of AHP for analyzing the problem structure and determining the weights of risk factors. The TOPSIS technique helps to obtain a final ranking among projects, and the results of an evaluation show the usefulness performance of the method.

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

References

  1. Kalakota, R., Whinston, A.B.: Electronic Commerce: a Manager’s Guide. Addison-Wesley Professional, Reading (1997)

    Google Scholar 

  2. Ngai, E.W.T., Wat, F.K.T.: Fuzzy decision support system for risk analysis in e-commerce development. Decis. Support Syst. 40, 235–255 (2005)

    Article  Google Scholar 

  3. Wat, F., Ngai, E.W., Cheng, T.E.: Potential risks to e-commerce development using exploratory factor analysis. Int. J. Serv. Technol. Manag. 6, 55–71 (2005)

    Article  Google Scholar 

  4. Leung, H.M., Rao Tummala, V.M., Chuah, K.B.: A knowledge-based system for identifying potential project risks. Omega 26, 623–638 (1998)

    Article  Google Scholar 

  5. Addison, T.: E-commerce project development risks: evidence from a Delphi survey. Int. J. Inf. Manag. 23, 25–40 (2003)

    Article  Google Scholar 

  6. Carney, D.J., Morris, E.J., Place, P.R.: Identifying commercial off-the-shelf (COTS) product risks: the COTS usage risk evaluation. Carnegie-Mellon Univ Pittsburgh (2003)

    Google Scholar 

  7. Cortellessa, V., Goseva-Popstojanova, K., Appukkutty, K., Guedem, A.R., Hassan, A., Elnaggar, R., Abdelmoez, W., Ammar, H.H.: Model-based performance risk analysis. IEEE Trans. Softw. Eng. 31, 3–20 (2005)

    Article  Google Scholar 

  8. Wang, C.-C., Chen, C.-C.: Electronic commerce research in latest decade: a literature review. Int. J. Electron. Commerce Stud. 1, 1–14 (2010)

    Google Scholar 

  9. Wang, P., Zhu, Z., Wang, Y.: A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design. Inf. Sci. 345, 27–45 (2016)

    Article  Google Scholar 

  10. Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1, 83–98 (2008)

    Google Scholar 

  11. Saaty, T.L.: Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. Rws Publications, Pittsburgh (2000)

    Google Scholar 

  12. Konidari, P., Mavrakis, D.: A multi-criteria evaluation method for climate change mitigation policy instruments. Energy Policy 35, 6235–6257 (2007)

    Article  Google Scholar 

  13. Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J.: A state-of the-art survey of TOPSIS applications. Expert Syst. Appl. 39, 13051–13069 (2012)

    Article  Google Scholar 

  14. Hwang, C.-L., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications a State-of-the-Art Survey. Springer Science & Business Media, Heidelberg (2012)

    Google Scholar 

  15. Wu, F.-Y., Chuang, C.-C.: The optimal relationship between buyer and seller obtained using TOPSIS method. J. Adv. Manag. Sci. 1, 133–135 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering and Information Technology, Global Big Data Technologies Centre, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW, 2007, Australia

    Salem Alharbi & Mohsen Naderpour

Authors
  1. Salem Alharbi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohsen Naderpour
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Salem Alharbi .

Editor information

Editors and Affiliations

  1. Graduate School of Management, University of Plymouth, Plymouth, Devon, United Kingdom

    Shaofeng Liu

  2. Faculty of Organizational Science, University of Belgrade, Belgrade, Serbia

    Boris Delibašić

  3. Graduate School of Management, University of Plymouth, Plymouth, United Kingdom

    Festus Oderanti

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Alharbi, S., Naderpour, M. (2016). E-Commerce Development Risk Evaluation Using MCDM Techniques. In: Liu, S., Delibašić, B., Oderanti, F. (eds) Decision Support Systems VI - Addressing Sustainability and Societal Challenges. ICDSST 2016. Lecture Notes in Business Information Processing, vol 250. Springer, Cham. https://doi.org/10.1007/978-3-319-32877-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-32877-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32876-8

  • Online ISBN: 978-3-319-32877-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation