Skip to main content

Information Systems Success: Measuring Wiki Implementation Success, Based on the DeLone & McLean Model

  • Conference paper
Book cover Knowledge and Technologies in Innovative Information Systems (MCIS 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 129))

Included in the following conference series:

  • 1097 Accesses

Abstract

In all the organizations, the information systems should see the success of its implementation measured. This paper tests the DeLone & McLean (2003) information systems success model using a wiki implementation.

From the model, the measures to be studied were elaborated in diverse questions having a 6-point Likert scale for the answers. Several identifiable validation relationships in the proposed model, on which the study has been based, were summarised as seven hypotheses of relationships between the variables. The paper uses the Structural Equation Modelling (SEM) technique to test the referred hypotheses.

The model has proved its validity and suitability for the measurement of web 2.0 tools, and the model explained an amount exceeding 75% the results obtained.

The results show that the satisfaction of the user is a strong inducer of liquid benefits, at individual and organizational level, in line with other studies in the literature.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
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

  • Chin, W.: Issues and Opinions on Structural Equation Modeling. MIS Quarterly 22(1), 7–16 (1998)

    MathSciNet  Google Scholar 

  • DeLone, W.H., McLean, E.R.: Information systems success: The quest for the dependent variable. Information Systems Research 3(1), 60–95 (1992)

    Article  Google Scholar 

  • DeLone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 19, 9–30 (2003)

    Google Scholar 

  • DeLone, W.H., McLean, E.R.: Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model. International Journal of Electronic Commerce 9(1), 31–47 (2004)

    Google Scholar 

  • Du, H.S., Wagner, C.: Weblog success: Exploring the role of technology. International Journal of Human-Computer Studies 64(9), 789–798 (2006)

    Article  Google Scholar 

  • Fornell, C., Larcker, D.: Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18, 39–50 (1981)

    Article  Google Scholar 

  • Gide, E.: A study for establishing an E-commerce Business Satisfaction model to measure e-commerce success in SMEs. International Journal of Electronic Customer Relationship Management 1(3) (2007)

    Google Scholar 

  • Lin, H., Fan, W., Wallace, L., Zhang, Z.: An Empirical Study of Web-Based Knowledge Community Success. In: 40th Annual International Conference on System Sciences, Hawaii, January 3-6 (2007)

    Google Scholar 

  • Livari, J.: An Empirical Test of the DeLone-McLean Model of Information System Success. The Database for Advances in Information Systems 36(2), 8–27 (2005)

    Article  Google Scholar 

  • Majchrzak, A., Wagner, C., Yates, D.: Corporate wiki users: results of a survey. In: International Symposium on Wikis, Odense, Denmark, August 22-25, pp. 99–104 (2006)

    Google Scholar 

  • McKinsey: The next step in open innovation (2008), http://www.mckinsey.com/clientservice/bto/pointofview/pdf/the_next_step_innovation.pdf (accessed October 28, 2011)

  • Petter, S., DeLone, W., McLean, E.: Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17 (2008)

    Google Scholar 

  • Pinkerton, W.J.: Project management: achieving project bottom-line success. McGraw-Hill, New York (2003)

    Google Scholar 

  • Rai, A., Lang, S., Welker, R.: Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis. Information Systems Research 13(1), 50–69 (2002)

    Article  Google Scholar 

  • Roldán, J.L., Leal, A.: A Validation Test of an Adaptation of the DeLone and McLean Model in the Spanish EIS Field. In: Cano, J.J. (ed.) Critical Reflections on Information Systems: A Systemic Approach. Idea Group Publishing, Hershey (2003)

    Google Scholar 

  • Seddon, P.B.: A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research 8(3), 240–253 (1997)

    Article  Google Scholar 

  • Seddon, P.B., Staple, S., Patnayakuni, R., Bowtell, M.: Dimensions of Information Systems Success. Communications of the Association for Information Systems 2(20), 1–39 (1999)

    Google Scholar 

  • Wu, J.-H., Wang, Y.-M.: Measuring KMS success - A respecification of the De Lone and McLean model. Information & Management 43, 728–739 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Alexandre, J., Isaías, P. (2012). Information Systems Success: Measuring Wiki Implementation Success, Based on the DeLone & McLean Model. In: Rahman, H., Mesquita, A., Ramos, I., Pernici, B. (eds) Knowledge and Technologies in Innovative Information Systems. MCIS 2012. Lecture Notes in Business Information Processing, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33244-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33244-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33243-2

  • Online ISBN: 978-3-642-33244-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics