Purpose - The purpose of this paper is to provide a measurement system of knowledge-based assets for graduate students, researchers and practitioners which can help them enhance their understanding of valuation issues. Design/methodology/approach - Three types of validity are reported to be relevant for the purposes of understanding knowledge-based assets information systems: criterion validity establishment of a statistical relationship with a knowledge-based information system and productivity; content validity - representation of a specified universe of contents in the knowledge-based information system; construct validity - measurement of knowledge. Findings - A framework is provided that helps explain why measurement is important in deciding characteristics such as information value, cost, reliability, validity, and bias (random and non-random error) which is germane to the development of an efficient and effective knowledge-based assets information system. Practical implications - The paper is a very useful source of information for graduate students, researchers and practitioners involved with testing, designing, valuing and/or implementing a knowledge-based information system. Originality/value - A measurement model is presented that may spark future models that can be implemented, tested and translated into actions in various organizational settings.
