Intellectual capital as a longitudinal predictor of company performance in a developing economy

Vladimir Dzenopoljac, Piotr Kwiatek, Aleksandra Dzenopoljac, Nick Bontis

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


This study assesses whether intellectual capital (IC), measured using the Value-Added Intellectual Coefficient (VAIC), can predict the financial and market performance of listed companies in a developing economy. Panel data from all 174 companies listed on the Kuwait Stock Exchange were analyzed. Four company performance measures were investigated: return on assets, return on equity, market/book value, and market capitalization. Eight competitive longitudinal models were evaluated using SEM–PLS, as well as the 1-year, 2-year, and 3-year lags. VAIC possesses significant predictive power on company performance, but only on return on assets and return on equity, with a stronger predictive power for the 2-year lag. When analyzing the 3-year lag, the model fit decreases significantly. This suggests that VAIC has no significant predictive power on analyzed market performance measures. Most extant literature on IC does not explicitly quantify its lagged effect and predictive power on company performance. Additionally, existing research focuses less on developing economies. The research was conducted in a developing economy with a relatively young and inefficient financial market. This rationalizes the findings in which IC cannot predict market performance. Additionally, the time span considered is only 5 years from the 21 years analyzed. Useful managerial insights on the evident lagged effect and predictive power of IC in a developing economy are provided. Quantifying the effect size adds value to the further understanding of IC's nature.

Original languageEnglish
Pages (from-to)53-69
Number of pages17
JournalKnowledge and Process Management
Issue number1
Publication statusPublished - 25 Nov 2021
Externally publishedYes


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