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eliable data, a rigorous and transparent coding procedure was undertaken by two<br />

different coders. Each coder was given clear and transparent coding procedures to be<br />

followed, respectively: only code for voluntary disclosure, code for meaning rather<br />

than exact words as concepts are broad, code only for positive and negative meanings.<br />

Discrepancies were analysed for size and for resolution.<br />

The content analysis involved coding the information in accordance with a selected<br />

framework of IC indicators. The IC framework was derived from the one used by<br />

Guthrie and Petty (2000). For the purpose of our study, we modified this IC<br />

framework to achieve a better comparison with other studies. As such, we kept the<br />

headings and the items used by Guthrie and Petty, but we have added extra items<br />

identified in the framework resulted from the work performed by a panel of<br />

researchers from the World Congress on Intellectual Capital (WCIC) (Bontis 2003).<br />

Professional judgment was used to eliminate redundancies between these two<br />

frameworks. The resulting IC items are presented in Table 2.<br />

Table 2. Categories of IC used for this study<br />

Internal (Structural) Capital External (customer/relational) capital Emplyoee competence (human capital)<br />

Intellectual Property Brand Know how (Employee know-how)<br />

Patents Customers (Customer knowledge) Education (Employee Knowledge)<br />

Copyrights Customer loyalty (Customer capital) Skills - vocational qualification (Employee Skills)<br />

Trademarks Company names (Company Reputation) Work-related knowledge (Expertise)<br />

Infrastructure asset Distribution channels Work-related competencies (Productivity)<br />

Management philosophy Business collaboration Entrepreneurial spirit<br />

Corporate Culture (Organisational Culture) Licensing agreeements Human Capital<br />

Management processes (Management<br />

Quality)<br />

Favourable contracts Human Assets<br />

Information Systems Franshising agreements<br />

Networking systems (Expert Networks) Relational Capital<br />

Financial Relations<br />

Corporate University/Corporate learning<br />

Cultural diversity<br />

Structural Capital<br />

Supplier Knowledge<br />

The brackets present the terminology used by the researchers from the WCIC<br />

corresponding to the one used by Guthrie and Petty (2000). Items that didn’t overlap<br />

were added to those already existing obtaining in this way a total of 33 IC items<br />

(14 for internal capital, 11 for external capital and 8 for human capital). This<br />

extension allowed us to measure both the level of disclosing IC components and to<br />

ascertain whether companies disclose the word itself, the latter finding being a proof<br />

of the importance that companies give to IC. The method used was for one researcher<br />

to read the annual reports and record information related to each attribute (location,<br />

quantity and nature of the information) on a coding sheet. A second coder<br />

independently confirmed the score of each company. This gives a high degree of<br />

confidence in the overall result. Our content analysis focuses on voluntary<br />

information (that is it is not required by an accounting standard or corporation law).<br />

This is consistent with other ICDs studies (Guthrie and Petty, 2000; Brennan, 2001;<br />

Ax and Marton, 2008).The results represent a matrix of information identifying the<br />

incidence of IC reporting across 33 IC attributes, which was used to facilitate an<br />

overall assessment of the extent to which IC is reported by Romanian listed<br />

companies. Considering the limited length of annual report as cost and design reasons<br />

limit the number of pages, volume or disclosure of a particular item signals how<br />

important it is considered to be (Striukova et al., 2008). Although content analysis is a<br />

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