Problems and resolutions to future knowledge‐based assets reporting

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.