Search results

Intellectual capital represents an integral part of evaluation in many companies. Applied methods do not consider three crucial aspects of intellectual capital, which are up-to-date research topics, dynamic nature, and internal perspective. Hence, the purpose of this paper is to propose a novel intellectual capital self-evaluation method, addressing this issue.

Analysis of topics is based on collocation, correspondence, and co-occurrence analyses. Method construction stage is grounded in knowledge processes and deploys a panel of expert evaluations, Saaty’s decision matrix, based on pairwise comparison and the stakeholders’ estimates.

A new method for evaluation enables complex internal view on the status of intellectual capital in an organisation, as it is based on up-to-date research topics, a self-evaluation approach, and the dynamics of knowledge processes.

The list of applied criteria is extendable, and the set weights are adjusted. Estimates are subjective in their nature. Provided results are tied with the specifics of self-evaluated organisations and cannot be used for inter-organisational comparison.

Presented system enables organisational self-evaluation, focussed on the complex and dynamic internal view, based on up-to-date topics. Despite the limitations, this self-evaluation can be conducted for various types of economic systems.

Proposed method is patterned on the current research topics and offers dynamic- and internal-oriented approach to self-evaluation of intellectual capital status.

The purpose of this paper is to enrich the scientific and managerial debate on intangibles by placing the concept of key money within the broader concept of Intellectual Capital, and by proposing an evaluation approach for a portion of the latter, focusing the analysis on fashion retailers.

This research focuses on the fashion industry, given that key money gains particular significance and accounted for in fashion retailers' financial statements. A comparative case study is presented with regard to the application of two evaluation methods proposed to some fashion retailers operating in Italy.

This paper defines a suitable placement for key money within the vast structure of intellectual capital. The research shows that the two methods give “very close” key money values, thus laying the foundations for a theoretical articulation of interest to be further explored in future researches.

The document represents a first in-depth examination regarding the evaluation and inclusion of key money in the intellectual capital. A further element of originality lies in having interpreted the key money in a perspective closer to the world of intangibles and competitive strategies, to the detriment of the previous (meagre) settings that placed it within the real estate branches of study.

A single embedded case study design was applied to evaluate the intellectual capital of 13 hotels in the Radisson SAS Hotels and Resorts hotel chain. By using the ICAP methodology and multiple source data the study investigated the knowledge and data produced by an intellectual capital evaluation, and explored the potential relationship between intellectual capital and business performance. The results conclude that it is possible to evaluate intellectual capital in a hotel chain, and the knowledge and data from the intellectual capital evaluation provide useful information regarding the areas of identifying focal areas, resource allocation, strengths and weaknesses, benchmarking, and managing the future. In addition, the findings indicate that it is useful to evaluate a hotel's intellectual capital due to its potential relationship with business performance.

The purpose of this paper is to present a framework that is developed for analysis of intellectual capital transformation into companies’ value, including an identification of the key factors of this process.

The paper employs intellectual capital on the intersection of value‐based management (VBM) and the resource‐based view (RBV). Starting from a review of the results provided in the literature regarding intellectual capital (IC) evaluation and its link with firm performance, a system of proxy indicators related to IC transformation in both concepts has been designed. The evaluation ability of the developed model was justified using regression analyses.

A detailed algorithm for intellectual capital evaluation in terms of input‐outcome transformation. The intellectual capital transformation evaluating model (ICTEM) provides a holistic view of intellectual resources as companies’ strategic investments.

The paper emphasizes that the ICTEM framework could be mostly applied for the analysis of a firm as a typical representative of the industry or the country. In that sense it is not applicable for specific feature analysis of a company.

The paper highlights the ICTEM as a tool of investment decisions, mostly taking into account common trends, the prospects of industries, and economies’ development.

The ICTEM provides the ostensive framework of intellectual capital transformation analysis using a statistical approach.

With the emergence of the basis of intellectual capital, competitive advantage was considered as the focus of competitive strategies, and the knowledge resulting from this approach became the basis for the development and strategic directions of companies in various fields of the company such as finance and accounting. The purpose of this study is sustainable intellectual capital reporting framework and evaluation of key examples in the context of capital market companies.

The methodology of this study was exploratory from the point of view of the developmental result and based on the type of objective and qualitative and quantitative basis was used to collect the data. The statistical population in the qualitative part was university experts and in the quantitative part financial managers of capital market companies. Data collection tools were interviews in the qualitative part and fuzzy scales and language comparison checklists in the quantitative part. Therefore, first through three stages of coding, the dimensions of the model were identified, and based on the fuzzy Delphi analysis, the reliability level was determined through the average between the first round and the second round of Delphi. Finally, through the default tests, the appropriate fuzzy model was first determined, and then hierarchical fuzzy analysis based on TODIM's approach was used to determine the most favorable axis of sustainable intellectual capital reporting.

The results in the qualitative part indicate the existence of 3 categories and 6 components and 39 conceptual themes in the form of a six-dimensional model. In the quantitative part, the results showed that by confirming the dimensions identified through fuzzy Delphi analysis, the most desirable axis of intellectual capital reporting is the component of technological capital reporting, which can play a more effective role in sustainable reporting.

This study, relying on the importance of the consequences of sustainable intellectual capital reporting, tries to evaluate the consequences of this field of financial reporting due to the lack of a coherent theoretical framework about capital market companies. In addition, the framework presented in this study promotes integrated thinking for firms to it would provide some level of incentive to those charged with governance concerning the voluntary compliance with the sustainable intellectual capital reporting framework.

The competitive model has changed. In this context, society entered into an era in which intangible assets are the greatest assets of a company. However, some gaps and uncertainties are presented in the literature as to understand the value of a company based on knowledge intensive activities. The purpose of this paper is to analyze the methods of evaluation of intangible assets in the context of business, economic and strategic management.

This is a qualitative research. This research is characterized as descriptive, bibliographic, inductive.

The main results of this research can highlight the existence of valuation methods of intangible assets intended for specific industries, as public and/or private, that can be better aligned to the context of business; economic and/or strategic management.

It was found that intangible assets are a current topic and increasingly addressed in the literature.

In the past decade, intellectual capital (IC) measurement and reporting have been feeding scientific debate; however, only few studies address these issues together. The present research aims to provide an integrated view of the topics covered by the existing literature and to highlight the emerging research trends and set the agenda for future research.

This study develops a structured literature review (SLR) of the extant research concerned with IC measurement and reporting, using a comprehensive sample of 1,021 articles extracted from the Scopus database.

The findings of the SLR show that the existing literature focuses on seven research areas: IC and public sector; IC university and education; IC evaluation method; internal and external IC disclosure; IC and CSR; management of IC in organizations; other. Overall, findings indicate that IC measurement and reporting are highly researched topics that continue to attract the interests of scholars. Finally, the SLR analysis has allowed outlining a future research agenda, with particular reference to the IC evaluation method and internal and external IC disclosure research areas.

The main limitation of this research lies in the manual screening of relevant studies, which entails some degree of subjectivity. Furthermore, another limitation research could be considered the use of a single database (Scopus).

The present study brings potential contributions for scholars and practitioners. From a scholarly perspective, the paper provides a systematization of scientific contributions that have dealt with IC measurement and reporting. In particular, it contributes to the scholarly debate bringing into focus various IC measurement and reporting issues in the landscape of private and public organizations. Referring to practical implications, our research supports the strategic use of IC measurement and reporting as a key lever for improving the management of firms. Using an analytical framework that combines insights from the agency, stakeholder and legitimacy theories, this study highlights that IC reporting activity should be used strategically as a means to engage with all firm's stakeholders, in particular with a view to reducing information asymmetry and improving firm reputation.

This study seeks to provide a broad ranging review that identifies, summarises and integrates the different multi-level approaches contributing to advances in research on measuring IC. This furthermore sets out and highlights an agenda for future research.

Deploying a systematic and thorough review of the literature, the authors were able to identify 60 articles and identify the main theories applied and the respective methodological orientations of these articles across three levels of analysis: micro, meso and macro.

The study's findings suggest that the literature on measuring IC has approached the theme across three different levels –micro, meso and macro. In addition, the results enable the identification of seven dimensions to IC: competitive advantage, economic value generated, resources and capacities, corporate governance, IC components, innovation management and the dissemination of IC.

The mixed-methods approach, which combines a traditional systematic literature review with ontological thematic analysis, casts light on the core aspects that led to the identification of a new approach in the academic literature on measuring IC.

This study puts forward a holistic model with measurements for IC across the three levels of analysis as well as the respective criteria for choosing the variables.

This study represents a first attempt to analyse the emerging literature on IC measurement through a multi-level approach; integrating and extracting the potential theoretical contributions in this field of knowledge; proposing an integrated model as well as a theoretically relevant and innovative research agenda that opens up paths to future research projects.

This paper aims to clear ambiguities regarding the definition of intellectual capital and its components in the evaluation of rehabilitation organizations.

A preliminary definition of intellectual capital and its three domains of human, relational and structural capital and separate lists of proposed components for each domain was developed based on the results of a previous study. Fourteen experts in rehabilitation, health management and management engaged in Delphi rounds to reach agreed-upon definitions. Their ideas on relevance and the measurements of each proposed component in the assessment of intellectual capital in rehabilitation organizations were gathered by a questionnaire.

Intellectual capital was defined as “The capital that emerges from the interaction of human resources’ ‘ability to think’ and to ‘create ideas’ with ‘a favorable internal and external organizational environment’ (including the managerial, social, structural, and physical environment, as well as communication between the inside and outside of the organization).” This capital is expected to gradually increase with further education, skills training and the gaining of experience by staff and managers. Also, the further development of intra-organizational structures and inter-relations with the market will empower the organization to adapt to continually changing circumstances, leading to competitive value and profit. Finally, a list of 101 proposed components was agreed upon in the evaluation of intellectual capital in rehabilitation organizations.

This paper may lead to the development of measurement tools and ultimately to planning effective programs to increase intellectual capital in rehabilitation organizations.

The purpose of this paper is to present a review on the latest developments, approaches and methods in intellectual capital (IC) performance measurement.

A total of 53 research papers from high-ranking journals concerning the advances in IC performance measurement were thoroughly reviewed and classified to identify the advanced approaches and methods that have been used to evaluate IC performance.

It is clear that the current application of advanced or intelligent methods in IC performance measurement is still at the primary stage. The reviewed approaches mainly focus on two core applications. First is to assist the data collection or data handling process and second is to enhance the result computation process to obtain a more reliable and realistic value that represents the performance of IC.

This study offers a foundation and guideline for the researchers who wish to integrate advanced methods into IC performance measurement based on the reviewed advanced approaches in terms of their respective functions, strengths and limitations. It stimulates the creation of new IC performance measurement models that use advanced approaches to cope with real-life problems and dynamic conditions.

This paper contributes to the literature on IC performance measurement, in light of advances in technology. In general, five advanced approaches were identified, analyzed and discussed. Future research directions were presented to provide new insights for researchers to apply advanced methods in IC performance measurement, together with theoretical and managerial implications.