Digital relational capital of a company
Purpose – This paper aims to examine how a company can build and develop its relational capital in a
digital environment. It searches for proxy-indicators for digital relational capital and explores their impact on
Design/methodology/approach – The paper is designed to sit in the cross-section of two concepts – Big
Data and Intellectual Capital.We analyze eight metrics of digital relational capital (SEMrush rank, Trust flow,
Domain authority, MozRank, Number of pages indexed in Yandex and Google, Thematic Citation Index by
Yandex, Alexa Rank) and examine their impact on company performance by conducting a two-stage fixedeffect
regression. The empirical part of the paper is based on a database of more than 1,000 Russian public
companies from 2010-2016.
Findings – The study justifies eight Big Data-based metrics that enable the estimation of the digital
relational capital of a company. Empirical evidence of a significant impact on corporate performance is
provided. Moreover, a U-shaped configuration of obtained relationships allows for a better understanding of
the phenomenon of digital relational capital and has managerial implications.
Originality/value – Companies can indirectly influence the proposed metrics. The study gives specific
recommendations regarding these metrics to allow companies to optimize their performance. In addition, to
the best of the authors’ knowledge, this is the first empirical research on relational capital through Big Data in