Search results

This article aims to provide a bibliometric and systematic literature analysis of studies published in the Journal of Intellectual Capital (JIC) from 2014 to 2018 in order to highlight emerging themes and future trends.

The analysis focused on 187 papers published on JIC over a period of five years. A scientometric approach to data mining enabled the detection of patterns in the dataset. Precisely, the investigation was conducted by integrating a bibliometric analysis on VOSviewer with a systematic literature review.

Four main streams of research on JIC emerged in the years of the analysis: reporting and disclosure of intellectual capital; intellectual capital research in universities, education and public sector; knowledge management; intellectual capital, financial performance, and market value.

The study offers valid insights to the topics covered by the Journal of Intellectual Capital by identifying the main research gaps and trends, along with future research avenues.

Prior scholars mostly focused on systematic literature reviews, whilst the use of bibliometric methods generally seems to be a missing tile in the research domain. Also, none of the extant studies has focused on the Journal of Intellectual Capital with reference to the 2014–2018 period. The use of both bibliometric and systematic approaches to literature review delivered extremely fine-tuned results in terms of factors such as citations, contents and evolution of clusters over time.

The purpose of this paper is to link empirically the value of intellectual capital and intellectual property to firm performance.

Survey data from managers in the (German) pharmaceutical industry is used to conduct a regression analysis focusing on the correlation between human, structural and relational capital, intellectual property and firm performance.

The results of the study show that including intellectual property in models linking intellectual capital to firm performance enhances the statistical validity of such models and their relevance for management.

Intellectual capital is an important source of an organization's economic wealth and is therefore to be taken into serious consideration when formulating the firm's strategy. This strategy formulation process can be enhanced by fully integrating intellectual property and intellectual capital into management models, as shown in this paper.

This empirical paper builds on and extends the Bontis research on the relationship between intellectual capital and firm performance. Contrary to Bontis the authors include intellectual property into the intellectual capital framework and focus on the role of intellectual property in the relationship between intellectual capital and firm performance.

For better mapping the path of intellectual capital (IC) research, the purpose of this paper is to selectively review empirical studies of IC published, and identify theories, components and three dimensions of analysis: national IC (NIC), regional IC (RIC) and organizational IC (OIC).

The systematic literature review (SLR) subject to analysis is based on empirical studies made between 1960 and 2016, and focuses on three dimensions of analysis: NIC, RIC and OIC. Four research questions were designed, using the following databases, namely, Web of Science, Scopus and Google Scholar, for data collection purposes.

The SLR unveils a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis and provides some recommendations for future studies of NIC, RIC and OIC, by outlining the need for clear definitions of components and measures of IC and identifying strengths, limitations and future research avenues.

In order to fill the gap found in the literature and the non-existence of a study clarifying the multiple dimensions of analysis of IC, this SLR makes a twofold, original contribution to the literature on management: providing an SLR of the main empirical studies dealing with different units of analysis; and identifying a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis.

In recent years a significant number of intellectual capital (IC) metrics has been developed and applied in many organizations. However, there is still a strong need to specify the relations among the different categories of intellectual assets that exist in the context of small to medium‐sized enterprises (SME), and to determine the way these assets affect financial performance. This paper has a dual scope; first, to specify these relations, and, second, to explore the impact of IC on corporate performance.

Hypotheses are tested through a survey conducted on Greek knowledge‐intensive SMEs of the service sector. Firms' perceptions regarding intellectual capital categories, which were measured through the answers given on a structured questionnaire, and accounting data gathered from financial databases were combined.

The findings indicate that the interaction of certain categories of intellectual assets in SMEs is in some aspects different from the pattern evidenced in other surveys that analyze large companies. Also, the empirical data provides supportive evidence that certain categories of intellectual capital positively contribute to corporate performance.

The Journal of Intellectual Capital (JIC) celebrated its 20th anniversary in 2020. Therefore, the present study aims to provide a general overview of the history and key trends in this journal during 2000–2019.

Two types of citation and textual data during a 20-year journal period were retrieved from the Scopus database. The citation structures and contents were explored based on a combination of bibliometric analysis, altmetric analysis and text mining. The journal themes and trends of their changes were analyzed through citation bursts, mapping and topic modeling. To make a better comparison, the text mining process for the topic modeling of the IC field was performed in addition to the topic modeling of JIC.

Bibliometric analysis indicated that JIC has experienced a remarkable growth in terms of the number of publications and citations over the last 20 years. The results indicated that JIC plays a significant role among IC researchers. Additionally, a large number of researchers, institutes and countries have made contributions to this journal and cited its research papers. Altmetric analysis showed that JIC has been shared in different social media such as Twitter, Facebook, Wikipedia, Mendeley, Citeulike, news and blogs. Text mining abstract of JIC articles indicated that “measurement,” “financial performance” and “IC reporting” have the relative prevalence with increasing trends over the past 20 years. In addition, “research trends” and “national and international studies” had a stable trend with low thematic share.

The findings have important implications for the JIC editorial team in order to make informed decisions about the further development of JIC as well as for IC researchers and practitioners to make more valuable contributions to the journal.

Using bibliometric analysis, altmetric analysis and text mining, this study provided a systematic and comprehensive analysis of JIC. The simultaneous use of these methods provides an interesting, unique and suitable capacity to analyze the journals by considering their various aspects.

The paper concerns the research problem of how to analyse the performance of a knowledge society as a whole, and in particular, of how to analyse national intellectual capital. The paper aims to build a conceptual foundation for national intellectual capital performance, and based on this, to construct a multidimensional measurement system for Finland and to investigate its usefulness.

The framework and measurement system of national intellectual capital performance is constructed on the basis of the intellectual capital and knowledge management research literature. The illustration of the measurement system is carried out using empirical data from various institutions.

The paper argues for the strategic, dialogic and societal measurement of national intellectual capital.

There was neither an exact purpose of measurement nor a detailed strategy for the knowledge society to aim at. Because of this, the measurement system serves as an illustrative example that provides a starting point for more in‐depth case studies on national intellectual capital.

This paper is targeted at policymakers and government officials concerned with questions related to national knowledge‐based development. The framework and measurement system constructed can serve as a basis for the strategic measurement of knowledge societies.

The paper shows how to apply the concept of national intellectual capital performance to analyse knowledge society. The approach proposed takes into account the strategic nature of national intellectual capital that has been ignored in earlier studies.

The aim of this study is to reflect on how the specific nature of intellectual capital influences the valuation process, in practice, and how it impacts on some of the qualities of its value.

This study is based on a case study (“Ankon”) developed by adopting a modest interventionist approach.

This study highlights the relevance of the intellectual capital valuation process in spite of the intellectual capital value per se. In fact, while intellectual capital value seems to present a limited level of objectivity, consistency, comparability and understandability, its valuation process can be considered an opportunity to visualise and understand intellectual capital and its influence on financial performance. In other words, intellectual capital valuation can be considered as a practice useful to crave the attention of the managers on intellectual capital in action.

The main limitations of this study are related to the particular research methodology adopted (action research case study) and to the size of the case investigated.

The findings provided by this research should be useful to those interested in studying intellectual capital in action and in developing new valuation models or refining existing models. Finally, considering that some of the limitations of intellectual capital value can be related to the absence of generally accepted valuation guidelines (e.g. the absence of a common definition, a single process, etc.), this can represent an incentive for policy makers to draw up useful rules to make intellectual capital value more understandable for an outsider and to identify managerial best practices.

In comparison with previous studies on intellectual capital valuation, this one focuses on an in vivo intellectual capital valuation process. In addition, this research stresses the specificities and criticalities that emerge from a process perspective in which intellectual capital is considered as a conventional object. Moreover, this paper enriches the previous critical discussions on intellectual capital measurement focusing on intellectual capital financial value.

Nowadays, the aspects of the intellectual capital (IC) management have become important, valuing it as an integral part of the organisation. Researchers emphasise the strategic importance of IC management, particularly in the context of satisfying the stakeholders' interests and value creation. However, the existing studies reflect individual elements of IC management, not analysing them as a system which is a part of the organisational management system, and hence it is impossible to draw valid conclusions on the impact of IC on the organisation's performance. The aim of the paper is to describe an approach to the elaboration of the IC management strategy and its integration into the organisation's management system.

The developed approach is based on a holistic and systemic view of the organisation, where IC management is integrated into the organisation's management . This approach is based on the structure of IC developed by Lentjušenkova and Lapina (2016). In this structure, business processes are the IC component that unites the other three ones – human capital, technologies and intangible assets. The study has used induction and deduction, as well as analytical and synthetic qualitative research methods, including logical constructive and conceptual (concept) analysis.

Elaborating the organisational strategy by taking into account the stakeholder interests, the organisation is able to ensure sustainable development. Using the integrated management approach, IC management is integrated into the organisation's activities and joint operational strategy. In this case, IC management becomes an integral part of the organisation's activities functioning in conjunction with the other organisation's systems, and it is integrated into all ongoing business processes.

The approach the authors have proposed to IC management could be adapted by small and medium-sized companies. Using it, companies do not need to create special functional units or division, because IC becomes an integral part of organisation's processes.

In previous studies, business processes were considered as one of the components of IC. In the study’s approach, business processes imply integration of IC into the overall organisation management system. As a framework for the proposed approach, the authors have used the Deming cycle “Plan-Do-Check-Act” that envisages dividing the development and implementation of the IC management and development strategy into four phases, with a clear allocation of tasks and a defined outcome for each individual phase. To use this approach, it is enough for organisations to conduct an analysis of processes and, depending on the strategic goals of the organisation, make additions related to managing IC.

The purpose of this paper is to examine determinants of the decision to disclose intellectual capital in annual reports.

The paper derives theoretical predictions from the previous literature and bases the study on archival data with a sample of 125 publicly listed Australian firms. The authors perform a content analysis of annual reports and complement the data with quantitative data from the sample firms.

The paper finds that industry type plays a key role as a determinant for the disclosure of intellectual property in annual reports. In addition, firm size is another determinant for intellectual disclosure of firms. In contrast with earlier studies and theoretical predictions of voluntary disclosure, however, the paper does not find any relationship between the level of information asymmetry and intellectual capital disclosure.

One limitation refers to the content analysis. Analyzing the annual reports based on the specified list of IC‐related terms may not provide the whole picture as well as the IC disclosure practices. Despite these limitations, the study helps to understand better in general what kind of firms actually disclose information on intellectual capital.

In contrast with earlier studies the study uses significantly more observations, which makes the results more reliable and generalizable. Of further significance is the finding that information asymmetry – one of the main problems between investors and firms – is not driving the decision of firms to disclose information on intellectual capital.

This study examines the extent and nature of voluntary intellectual capital (IC) disclosure by public‐listed companies in Malaysia and how the disclosure may be explained by the economics or other rationale of corporate disclosure. Those intangible assets that are required to be disclosed under the extant accounting standards were specifically excluded from this study. The top 30 and the bottom 30 companies were selected from the list of top 100 largest public‐listed companies by market capitalization at the end of 2003. Content analysis was used to measure the extent of voluntary IC disclosure in the 2003 annual reports of the selected companies. This study found that the voluntary disclosure of IC information is generally not extensive among the publiclisted companies in Malaysia and narrative description of their IC attributes is the most often adopted format. The findings suggest that the IC disclosure behaviour of the sample companies may be explained based on both economic and non‐economic rationale. Implications of the findings are discussed.