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comprehensive in some industries, such as, utility, and financial services, than others,<br />

such as, publishing. Literature provides complementary interpretation keys for<br />

explaining the industry effect on corporate disclosure: this is because proprietary costs<br />

vary across industries (Meek et al, 1995); firms are pressed to disclose industryrelated<br />

information in their annual reports (Cooke, 1992) by external investors who<br />

need information on a company’s relative position in an industry in order to assess<br />

company value (Dye, 1985); disclosure within an industry may also be shaped by the<br />

behaviour of a dominant company (Cooke, 1992); the international exposure of a<br />

particular industry might affect the extent of disclosure (Raffournier, 1995);<br />

intellectual capital is in some industries more important than in others and therefore<br />

value-relevant for investors. The results obtained with respect to the variable industry<br />

type are mixed, in the way that the studies reviewed which considered that industry<br />

type is a determinant for ICD (Bozzolan et al., 2003, Bozzolan et al., 2006, Oliveira et<br />

al., 2006, Boesso and Kumar, 2007, Bruggen et al., 2009, Branco et al., 2011) were<br />

almost balanced by the number of studies that concluded industry type does not have<br />

influence on ICD (Beaulieu et al., 2002, Garcıa-Meca et al., 2005, Rimmel et al.,<br />

2009, Huang et al., 2010). This, corroborated with the fact that 77% of the studies<br />

tested this correlation, brought us to the following null hypothesis:<br />

H2: There is no relation between type of industry (traditional versus knowledge<br />

intensive) in which the company is operating and IC disclosure<br />

Last but not least, we test whether there is any combination between company size<br />

and industry type that may have influenced the level of ICD and formulate the<br />

following hypothesis:<br />

H3: There is no relation between the combination of company size and industry<br />

type and IC disclosure<br />

2. RESEARCH METHODOLOGY<br />

This section contains a description of (1) the sample and data selection; (2) the<br />

content analysis used to assess the quantity and the quality of ICD; (3) the<br />

methodology used to test if company size and industry type are determinants of the<br />

level of ICD.<br />

2.1. Data Selection<br />

There is evidence from prior studies that ICDs tend to be predominantly discursive in<br />

nature (Ax and Marton, 2008, Guthrie and Petty, 2000; Goh and Lim, 2004, Bukh et.<br />

al 2005). According to the results obtained by Petty et al. (2008), 68% of their<br />

respondents used the annual report to learn more about a company and as an aid to<br />

decision-making. This is consistent with the literature that positions the annual report<br />

as a key accountability document to stakeholders (Lang and Lundholm, 1993).<br />

According to Garcia-Mecca (2005) analysts and investors, draw on annual report<br />

information in their work and this is not only related to financial information, but also<br />

to non financial and narrative reporting. Additionally, much of the literature suggests<br />

annual reports as basis for gathering data. In order to provide comparison with these<br />

studies and future ones, this paper uses annual reports only. Information that is<br />

disclosed by other means, such as on websites is not included. In addition, this study<br />

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