The purpose of this paper is to investigate the relationship between ownership concentration and human capital (HC) disclosure released via LinkedIn.
This study uses a quantitative methodology. The sample is composed of 150 European companies. Content analysis was used to examine HC disclosure via LinkedIn. Regression analysis was used to test the hypothesis.
The results indicate that ownership concentration negatively influences HC disclosure via LinkedIn, confirming that closely held firms have little motivation to voluntarily release information.
The main limitation of this study relates to the sample size. Furthermore, this study investigates only the quantity of HC disclosure; it does not consider the quality of this information.
The typical ownership structure of European firms generates a force that opposes the growing pressure for internationalization and global transparency. This important issue needs to be considered in investor decisions, HC management and reporting and in setting accounting standards. Moreover, the study points out that, despite the potential opportunities provided by LinkedIn to build and enforce relationships with their stakeholders, companies mainly use LinkedIn for recruitment purposes.
This study contributes to the literature on HC disclosure because it is, to the best of the authors’ knowledge, the first study that exclusively examines HC disclosure by European companies via LinkedIn and because it develops a disclosure index that includes items concerning the stock of knowledge and capabilities of employees in addition to the practices in human resource management.
This paper is the joint work of all the three Authors. Section 3 is written by the three Authors; Sections 1 and 2.2 are by Rita Lamboglia; Sections 2.3, 4 and 5 are by Luigi Lepore; Sections 2.1 and 5 are by Sabrina Pisano.
Pisano, S., Lepore, L. and Lamboglia, R. (2017), "Corporate disclosure of human capital via LinkedIn and ownership structure: An empirical analysis of European companies", Journal of Intellectual Capital, Vol. 18 No. 1, pp. 102-127. https://doi.org/10.1108/JIC-01-2016-0016Download as .RIS
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