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The paper reports on public sector organisations'/institutions' work to develop knowledge management and intellectual capital statements. Building on experiences collected during 2001‐2002 where 26 public sector institutions in Denmark sought to develop intellectual capital statements, this paper discusses their experiences and in particular, it addresses the role of intellectual capital in relation to the development of the new public management philosophy. It is suggested that these public sector organisations use intellectual capital activity to promote themselves as “businesses” with their own strategies and modes of operations. Intellectual capital helps these firms differentiate themselves and develop their own strategic approach to their mode of functioning by showing how they function as enterprises.

The rise of the “new economy”, one principally driven by information and knowledge, is attributed to the increased prominence of intellectual capital (IC) as a business and research topic. Intellectual capital is implicated in recent economic, managerial, technological, and sociological developments in a manner previously unknown and largely unforeseen. Whether these developments are viewed through the filter of the information society, the knowledge‐based economy, the network society, or innovation, there is much to support the assertion that IC is instrumental in the determination of enterprise value and national economic performance. First, we seek to review some of the most significant extant literature on intellectual capital and its developed path. The emphasis is on important theoretical and empirical contributions relating to the measurement and reporting of intellectual capital. The second part of this paper identifies possible future research issues into the nature, impact and value of intellectual management and reporting.

This paper aims to address the need to modify the existing intellectual capital (IC) disclosure frameworks and examines the disclosure practices of Indian knowledge-based companies by using a comprehensive IC disclosure index that has been developed in this study.

The annual reports of 30 listed knowledge-intensive companies from two sectors – pharmaceutical sector and engineering sector – have been analysed for a period of five years from 2010-2011 to 2014-2015. Additionally, the sample firms were ranked on the basis of market capitalisation (MC) to examine the IC reporting practice of firms with high and low MC. An IC disclosure index has been developed through comparative analysis of the frameworks used in three studies that is based on Bukh et al.’s (2001) classification. Further, the study has also considered intangibles and the related non-financial indicators of MERITUM guidelines. The disclosure index consists of a total of 69 items encompassing six components.

The overall IC disclosure trend showed an increase in reporting practice over the five-year study period. With respect to the components, process capital is found to be the most disclosed component while relational capital is the least disclosed component. After categorisation of firms into high and low MC, it has been observed that the IC disclosure scores of firms with high MC are significantly higher than firms with low MC.

This paper has developed an IC disclosure index through careful analysis and scrutiny of the existing frameworks which contributes to the existing literature. Likewise, the use of a comprehensive framework can aid the investors to know the true value of the firm and make proper market decisions.

This is the first paper in the Indian context in which a modified IC disclosure index is framed based on Bukh et al. (2001) framework for examining IC reporting practices.

The paper seeks to investigate the key drivers and level of voluntary disclosures in biotechnology company annual reports.

The paper uses an intellectual capital disclosure index score of voluntary disclosures in a large sample of listed biotechnology companies, and tests the relationship between voluntary disclosures of intangible firm value with traditional agency theory variables. The relationships are tested statistically using correlation and multiple‐regression analysis.

The key drivers of voluntary intellectual capital disclosures were the level of board independence, firm age, level of leverage and firm size. Multiple regression analysis demonstrated that board independence, leverage and size had a significant relationship with the level of voluntary intellectual capital disclosure. Separate regression controlling for large‐sized and small‐sized firms demonstrated that voluntary intellectual capital disclosure was only driven by board independence and the levels of firm leverage in large firms. Small firms did not demonstrate this relationship.

The implications of this research are that smaller biotechnology companies' managers are not motivated by external debt‐holder demands to make voluntary disclosures about intangible firm value. In addition, large biotechnology companies, which are better able to establish independent board oversight, appear more effective at driving voluntary intellectual capital disclosures, perhaps in response to greater demand by owners. A limitation of this study is its Australian context and that data is analysed only from 2005 financial year annual reports.

To the authors' knowledge this is an original paper whose findings have valuable implications for managing intellectual capital at the firm level. The paper clearly demonstrates that disclosures about intangible firm value is being driven by traditional agency theory variables and more contemporary corporate governance issues, and that small firms may be ignoring the importance of disclosing more about their intellectual capital.

The purpose of this paper is to give an indication of the quantity of intellectual capital information in Japanese initial public offering (IPO) prospectuses from all stock exchange listings on the Japan Stock Exchange from 2003.

The paper applied a disclosure index consisting of 78 items to quantify the amount of information regarding intellectual capital included in the IPO prospectuses of Japanese companies. An analysis of variance (ANOVA) was used to test, controlling for technological type of the company (high‐tech/low‐tech), and whether the extent of managerial ownership prior to the IPO, company age and company size influenced disclosure.

From the analyses conclusions are derived for four hypotheses. The hypotheses “industry differences” (H1), “managerial ownership” (H2) and “company size” (H3) were found not to be significant factors explaining voluntary disclosure of information. The fourth factor, “company age” (H4), did, however, have a significant influence on the extent of disclosure for Japanese companies. Further testing of the Japanese companies regarding age showed a continuing trend.

Although Japan has been strongly associated with the concept of the knowledge society, Japanese studies regarding intellectual capital have been very scarce. No studies, to the best of one's knowledge, have examined the specific disclosure of intellectual capital information included in Japanese IPO prospectuses.

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.

The purpose of this paper is to evaluate business model (BM) disclosure. As the BM shows how a company creates and captures value, its communication in the Annual Report is considered a necessary background for a dynamic analysis, interpretation, and evaluation of the intellectual capital (IC) contribution to a company’s competitive advantage.

Focusing on a sample of listed UK companies operating in high-technology industries, this paper runs a content analysis of BM disclosure presented in the Strategic Report (SR). To develop the analysis, it refers to an ontological approach that encompasses the main research contributions to this topic.

The analysis of SRs revealed that few companies use their BM disclosure to highlight the contribution of their IC to create and capture value. BM descriptions are not always clearly distinguishable from other strategic concepts and poorly illustrate the interactions among the BM components, which help understand how IC is entangled in a company’s value creation process.

This paper answers the Financial Reporting Council’s call for comments about its Guidance on SR. More in general, it contributes to the issue of the regulation of narrative information in the Annual Report.

This paper proposes a methodological framework for the analysis of BM disclosure quality. Thanks to this framework, it points out some critical issues of BM disclosure and offers some hints useful for its regulation.

The purpose of this paper is to explore and clarify the cause and effect relations between key performance indicators (KPIs) which significantly contribute to the benefits of the business processes exploitation in the Luka Koper, d.d. Company.

The paper developed a single equation microeconomic error correction model (ECM) with the Engle and Granger two-step method. With the ECM approach, the paper performed application on the KPIs and estimated short- and long-term effects between them.

From the final ECM model, it can be recognized that the total turnover has been increased, by increased maritime throughput. Increasing the maritime throughput means a reduction in electricity consumption per tonne reloaded and increasing consumption of fossil fuels and water. Revenue per unit of maritime throughput has a negative regression coefficient, which may lead to an increase in income or increased amount of maritime throughput and simultaneously reducing the cost per tonne reloaded. Results are reflecting the impact of sharp declining in maritime throughput with the greatest added value in the years 2007 and 2008. All these results and observations suggest that an error correction mechanism exists and that the paper set up a stable model, which describes the dynamics of short-term determinants of the long-term service performance.

The following limitations exist to this study: sample size and quality of the data that were available and the quantitative analysis in the four perspectives of the Kaplan and Norton's balanced scorecard (BSC). Since this is the case study that investigates the impact of the KPIs' on the results and causalities between them, the paper also encountered the data, which are treated as a business secret. Further research into the impact of introducing the four perspectives of the BSC to monitor the implementation of strategies and strategic projects is recommended.

The presented quantitative approach is useful in combination with a qualitative approach, which is a common practice in determining the causal relations resulting in the strategic map of BSC. Simulations of the developed model are possible on all levels of management, by combining the KPIs, and consecutively acquire new knowledge about their relations. Developed quantitative approach supports improving the monitoring of operational efficiency of an organization, improving business processes, project efficiency and achievement of the strategic goals.

Developed approach supports identification and classification of strategic goals and their KPIs that are best suited for inclusion in the BSC strategic map, improvements to the monitoring of implemented strategic initiatives and achievement of strategic goals.

This paper aims at exploring the extent and determinants of intellectual capital disclosure (ICD) in India.

Content of annual reports of 200 firms classified on their market capitalization is analysed using search terms to find out the extent and nature of disclosure. The period of study is 2010-11 and 2013-14. Paired t-test is used to see if there is any significant change in the level of disclosure between two time periods. The various determinants and their impacts are captured using a regression equation.

The analysis showed evidence that market capitalization, ownership and age of the firms are the major determinants of ICD in India. Performance, size and type of industry mattered only for large-cap firms. Disclosure levels are seen to increase with market capitalization. Human capital and external capital is highly reported by all categories of firms. The overall disclosure by all categories has significantly increased, whereas that of human capital and external capital has increased significantly only in small-cap and mid-cap firms.

This paper looks at size, market and performance-related variables and their impact on the extent of disclosure. It takes representative firms from three indices based on their market capitalization and evaluates them, thus making results and findings reliable. This is the first paper which takes a large cross section sample from across 12 sectors and also performs a longitudinal analysis. This paper is of interest to managers of firms who can affect the policies of their firms in making robust changes in disclosure practices.

This study aims to investigate the factors influencing the disclosure of intellectual capital (IC) information in the Malaysian initial public offering (IPO) prospectus using multiple regression analysis.

The sample consists of 130 companies in the technology and industrial products sectors of Bursa Malaysia that went through an IPO between 2004 and 2008. Initially, the extent of the IC disclosure index is quantified using content analysis methodology. The multiple regression analysis is then used to examine the associations of nine potential explanatory variables with IC disclosure level.

In general, the results provide evidence that board size, board independence, age, leverage, underwriter and listing board significantly influence the extent of IC disclosure in an IPO prospectus. Nonetheless, the effect of each explanatory variable may vary in each estimated parameter of the multiple regression models. Three variables, board diversity, size and auditor, were not significant.

Although many studies have examined the content of and reasons for IC disclosures, this study provides empirical evidence in this specific area, i.e. to explore the determinants of IC disclosure, particularly from the perspective of IPO prospectuses, in emerging countries such as Malaysia.