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Shadow prices for intangible resources

Elena Shakina (International Laboratory of Intangible-driven Economy, National Research University Higher School of Economics, Saint Petersburg, Russian Federation)
Iuliia Naidenova (International Laboratory of Intangible-driven Economy, National Research University Higher School of Economics, Perm, Russian Federation)
Angel Barajas (International Laboratory of Intangible-driven Economy, Department of Finance, School of Economics and Management, National Research University Higher School of Economics, Saint Petersburg, Russian Federation)

Journal of Intellectual Capital

ISSN: 1469-1930

Article publication date: 29 January 2021

Issue publication date: 24 March 2022

313

Abstract

Purpose

Focusing on managerial problems related to the measurement of intangibles, this paper develops and validates a hedonic-pricing methodology for the evaluation of the intangible resources of companies obtaining their shadow prices.

Design/methodology/approach

The paper adapts a hedonic-pricing methodology developed primarily for markets in real estate and secondhand cars to define how much intangibles may contribute to companies' market value. A certain calibration of the original tool has been developed to make this methodology appropriate for interpretation and practical use. The main advantage of this approach is that it allows for an evaluation of the shadow prices of intangible resources. These prices can be interpreted as the market value of the intangible resources which are not reflected on the balance sheet.

Findings

The results of this study demonstrate that hedonic pricing with a self-selection correction generates robust estimates. As one can see, the positive contribution of a high endowment of intangibles for all shadow prices is confirmed through estimations using two different techniques. Meanwhile, the negative effect of a low endowment is even more evident for the baseline model. This model shows consistent negative shadow prices for the majority of underinvested intangibles. Brands have the highest shadow prices in the introduced models; human capital, as measured by the qualification of top management and investments in employees, has likewise demonstrated high prices. However, most structural resources seem to be not reflected to a large degree in companies' market value.

Practical implications

This paper brings new opportunities to obtain the monetary value of intangible resources based on estimated market prices of a corporation's resource portfolio. These prices may be used for several purposes – for example, benchmarking for performance management, capital budgeting or knowledge-management practices. Moreover, by having methodological value, this study opens ways to evaluate any other intangibles which are not explicitly discussed in the empirical test of this particular study.

Originality/value

This study primarily contributes to the methodological advancement of evaluation of corporate intangible resources. It departs from the conventional hedonic-pricing mechanism to identify cogent estimates to intangibles in monetary terms. Importantly, this mechanism implies individual shadow prices for specific intangible resources which makes the contribution of this study unique for the existing literature, both within resource-based and value-based views.

Keywords

Acknowledgements

The authors thank the researchers of the ID Lab (NRU Higher School of Economics –Perm Campus) for their useful comments and remarks during preparations and discussions of the paper. They also thank the assistants of the ID Lab for their work creating the database and their support. The authors thank Jeff Downing for his proofreading on the manuscript.This article is an output of a research project implemented as part of the Basic Research Program at the National Research University Higher School of Economics (HSE University).

Citation

Shakina, E., Naidenova, I. and Barajas, A. (2022), "Shadow prices for intangible resources", Journal of Intellectual Capital, Vol. 23 No. 3, pp. 666-686. https://doi.org/10.1108/JIC-02-2020-0031

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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