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Alternative Metrics for Assessing Knowledge Assets

Author

Listed:
  • G. Scott Erickson

    (School of Business, Ithaca College, Ithaca, NY 14850, USA)

  • Helen N. Rothberg

    (School of Management, Marist College, Poughkeepsie, NY 12601, USA)

Abstract

This paper analyzes two different approaches to assessing the knowledge assets of multiple firms in a given industry. Typically, in evaluating knowledge management (KM) results by measuring intellectual capital (IC), studies in the field have looked specifically at individual firms or a small cluster of organisations. Measuring a large number of firms has proven more of a challenge even though the discipline has some established metrics to do so, principally those using some variation of Tobin's q. In moving such methodologies forward, we look at two variations on Tobin's q for assessing KM requirements in an industry and the relative level of KM success in member firms. We contrast different industries with apparently different KM circumstances, allowing some deeper insights into the strengths and weaknesses of our two metrics. These results will be of interest to those studying KM and IC as they provide guidance in evaluating performance (as well as the need to invest in order to keep up with industry top performers). For the same reason, the results and methodology will inform practitioners taking a strategic approach to knowledge investment, giving them a way to assess relative standing within and across industries. KM strategies can and should differ, and these metrics provide guidance for such decisions.

Suggested Citation

  • G. Scott Erickson & Helen N. Rothberg, 2013. "Alternative Metrics for Assessing Knowledge Assets," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-7.
  • Handle: RePEc:wsi:jikmxx:v:12:y:2013:i:04:n:s0219649213500317
    DOI: 10.1142/S0219649213500317
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    References listed on IDEAS

    as
    1. Baruch Lev & Suresh Radhakrishnan, 2003. "The Measurement of Firm-Specific Organization Capital," NBER Working Papers 9581, National Bureau of Economic Research, Inc.
    2. G. Scott Erickson & Helen N. Rothberg, 2012. "Intelligence in Action," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-03532-5, March.
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