Skip to main content

A New Taxonomy for Developing and Testing Theories

  • Chapter
  • First Online:
Emerging Themes in Information Systems and Organization Studies

Abstract

Colquitt and Zapata-Phelan [1] developed taxonomy for classifying empirical studies depending on whether a theory to be tested was nascent or mature. They also thought that one and the same theory to be tested could contain parts from both nascent and mature theories. In this paper we separated development of the theory to be tested from its empirical test. We found that development of the theory can be grounded on data or earlier theoretical concepts and their relationships. We also differentiated the first test of the new theory from its repetitive test. Based on those building blocks we succeeded to build a new taxonomy for theory building and testing. We shall also show how our taxonomy can be strengthened by formative validity and summative validity and can be extended by taking dissensus into account.

I am pleased to contribute this essay in recognition of Marco De Marco’s 35th year of his academic career. Marco, best wishes for your own continued good health and prosperity!

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Colquitt, J.A., and Zapata-Phelan, C. P. (2007). Trends in theory building and theory testing: A five-decade study of the Academy of Management Journal. Academy of Management Journal, 50(6), 1281-1303.

    Article  Google Scholar 

  2. Deetz, S. (1996). Describing differences in approaches to organization science: Rethinking Burrell and Morgan and their legacy. Organization Science, 7(2), 191-207.

    Article  Google Scholar 

  3. Edmondson, A.C., and McManus, S.E. (2007). Methodological fit in management field research. Academy of Management Review, 32(4), 1155-1179.

    Article  Google Scholar 

  4. Berthon, P., Pitt, L., Ewing, M., and Carr, C.L. (2002) Potential research space in MIS: A framework for envisioning and evaluating research replication, extension, and generation. Information Systems Research, 13(4), 416-427.

    Article  Google Scholar 

  5. Gefen, D., Straub, D.W., and Boudreau, M.C. (2000). Structurational equation modeling and regression: Guidelines for research practice. Communications of the Association of Information Systems, 4(7), 1-76.

    Google Scholar 

  6. Glaser, B., and Strauss, A. (1967). The discovery of grounded theory: Strategies of qualitative research. London: Wiedenfeld and Nicholson.

    Google Scholar 

  7. Suddaby, R. (2006). From the editors: What grounded theory is not. Academy of Management Journal, 49(4), 633-642.

    Article  Google Scholar 

  8. Sutton, R.I., and Staw, B.M. (1995). What theory is not. Administrative Science Quarterly, 40(3), 371-384.

    Article  Google Scholar 

  9. Weick, K.E. (1995). What theory is not, theorizing is, Administrative Science Quarterly, 40(3), 385-390.

    Article  Google Scholar 

  10. Lee, A. S. and Hubona, G. S. (2009). A scientific basis for rigor in Information Systems research. MIS Quarterly, 33(2), 237-262.

    Google Scholar 

  11. Lee, A.S. (1989). A scientific Methodology for MIS case studies. MIS Quarterly, 13(1), 33-50.

    Article  Google Scholar 

  12. Walsham, G., and Sahay, S. (1999). GIS for District-Level Administration in India: Problems and Opportunities. MIS Quarterly, 23(1), 39-66.

    Article  Google Scholar 

  13. Schultze, U. and Leidner D.E. (2002). Studying knowledge management in information systems research: Discourses and theoretical assumptions. MIS Quarterly, 26(3), 213-242.

    Article  Google Scholar 

  14. Walsham, G. (2006). Doing interpretive research. European Journal of Information Systems, 15(3), 320-330.

    Article  Google Scholar 

  15. Giddens, A. (1984). The constitution of society. Cambridge: Polity Press.

    Google Scholar 

  16. Buchanan, D.A. (2003). Getting the story straight: Illusions and delusions in the organizational change process. Tamara Journal of Critical Postmodern Organization Science, 2(4), 7-21.

    Google Scholar 

  17. Vaishnavi, V. and Kuechler, W. (2009). Design Research in Information Systems. Last updated August 16, 2009. URL: http://desrist.org/design-research-in-information-systems Accessed 26 April 2010.

  18. Järvinen, P. (2004). On research methods. Tampere: Opinpajan kirja.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pertti Järvinen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Järvinen, P. (2011). A New Taxonomy for Developing and Testing Theories. In: Carugati, A., Rossignoli, C. (eds) Emerging Themes in Information Systems and Organization Studies. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2739-2_3

Download citation

Publish with us

Policies and ethics