Measuring national intellectual capital: a novel approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Duc Hong Vo ◽  
Ngoc Phu Tran
Keyword(s):  
International Comparison ◽  
Intellectual Capital ◽  
Social Issues ◽  
Empirical Studies ◽  
Principal Component ◽  
Extended Period ◽  
Content Type ◽  
Structural Capital ◽  
Novel Approach ◽  
Fit For Purpose

PurposeA very few studies have been conducted to measure a degree of national intellectual capital for selected groups of countries. This paper is conducted to construct a new index of national intellectual capital (INIC) which is simple, quantifiable, relevant and comparable for countries around the globe.Design/methodology/approachThe styudy’s new INIC uses various indicators which are proxies for fundamental aspects of intellectual capital, including (1) human capital, (2) structural capital and (3) relational capital. These indicators are publicly available for many countries. The principal component analysis is utilized to derive the INIC. Various tests have also been conducted to ensure that the new index is appropriate and fit for purpose.FindingsFindings from this paper confirm that the new INIC has a strong correlation of 0.80 with an index developed by Lin et al. (2014) (the LECB index), an advanced INIC to date. The LECB index has been infrequently updated and covered selected countries due to data and information unavailability. In addition, the study’s tests indicate that a high correlation of 0.75 is observed between the study’s index and GDP per capita. The new INIC represents an advancement in relation to its simplicity, quantification, relevance and international comparison across nations.Practical implicationsThe estimates of national intellectual capital using the approach in this study will open a new strand of theoretical and empirical studies in relation to national intellectual capital and other economic and social issues of interests. This novel and innovative approach will provide policymakers with a valuable framework to formulate and implement relevant policies to enhance and improve national intellectual capital.Originality/valueTo the best knowledge of the authors, this is the first study of its type, which is conducted to measure national intellectual capital based on publicly available data. Required data cover an extended period of years and a majority of countries. As such, an INIC will enhance transparency and feasibility for international comparison across countries.

Intellectual capital in action: evidence from Italian local governments

2016 ◽  
Vol 17 (4) ◽  
pp. 696-713 ◽  
Author(s):  
Francesca Manes Rossi ◽  
Francesca Citro ◽  
Marco Bisogno
Keyword(s):  
Intellectual Capital ◽  
Local Governments ◽  
Large Body ◽  
Principal Component ◽  
Future Research ◽  
Content Type ◽  
The Public ◽  
Structural Capital ◽  
Research Findings ◽  
Research Stream

Purpose Intellectual capital (IC) is attracting increasing attention from scholars and practitioners in the private sector, while research in the public sector is still in its embryonic stage, especially in regards to local governments. The purpose of this paper is to fill this gap by channelling conceptual and empirical findings from the large body of IC literature. Design/methodology/approach The research investigates IC in action in the local government domain. A survey has been carried out involving both managers and politicians of all Italian local governments (ILGs) with more than 40,000 inhabitants. In order to define the constituents of each IC dimension perceived by ILGs, principal component analysis was used in investigating the results. Findings Results highlights how IC components are perceived in ILGs: human capital is a combination of aptitudes in pursuing target performances, sense of ownership and motivations; relational capital is a combination of values, relationships and acts; structural capital includes procedures and routines supporting the decision-making process, the ability of achieving objectives and handling changes. Research limitations/implications While the research findings are limited due to being based on a survey in a single country, they present opportunities for future research regarding further testing of how IC is perceived in LGs in different context. The conclusion could be beneficial also for standard setters, providing a path to support the IC disclosure by LGs. Originality/value The paper contributes to a narrow strand of research – IC in LGs – adding new knowledge in “IC in action” research stream.

4.0 digital transition and human capital: evidence from the Italian Fintech market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Filomena Izzo ◽  
Viktoriia Tomnyuk ◽  
Rosaria Lombardo
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Regression Models ◽  
Principal Component ◽  
Critical Factor ◽  
Future Research ◽  
Content Type ◽  
Digital Era ◽  
Structural Capital ◽  
The Impact

PurposeIn the intellectual capital literature, no studies have examined the causal relationship between Italian Fintech companies' performance and intellectual capital, especially the impact of digital industrialization on human capital. This paper aims to fill this gap in measuring human capital efficiency in the Italian Fintech market.Design/methodology/approachThe authors adopt Pulic's model and define the intellectual capital through three components (human capital, structural capital and capital employed) and perform an exploratory analysis of the Italian Fintech companies by using principal component analysis. Then the authors investigate the effects of the intellectual capital and its components on the Italian Fintech companies' performance by using parametric and nonparametric regression models.FindingsResults of regression models reveal that human capital and employed capital are positively related to the companies' performance, except for the structural capital.Research limitations/implicationsThe study focuses on the Italian level, and future research could be extended to different European countries or to the global Fintech market. Moreover, it is advised to explore more components that contribute to intellectual capital measurement inside the companies operating in the 4.0 industrial revolution, such as the innovative capital and the relational capital.Practical implicationsThis study proposes a new vision for managerial procedures to find which features are critical for achieving profitability in this digital era. The study offers interesting reflections on the management decisions for both companies and public decision-makers. Results suggest that, among intellectual capital components, human capital plays a strategic role for the knowledge-intensive companies that are interested in potentiating their performance and competitiveness. Furthermore, this study finds that human capital is critical factor for achieving profitability in this digital era.Social implicationsThe Fintech sector is one that most benefited from the Digital Revolution, and if it is adequately managed, it can bring great benefits in terms of major employment, especially for the young population, and bring major financial inclusiveness all over the world.Originality/valueThis is the first study that examines the Italian Fintech market and analyzes the dependence relationship between companies' performance and intellectual capital components, identifying the role of human capital in a new completely digital sector. The analysis findings are strategic for the business decisions-making process.

Intellectual capital disclosure on Twitter – empirical evidence from the world’s largest companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Łukasz Bryl ◽  
Justyna Fijałkowska ◽  
Dominika Hadro
Keyword(s):  
Social Media ◽  
Intellectual Capital ◽  
Recent Literature ◽  
Future Research ◽  
Corporate Disclosure ◽  
Content Type ◽  
Management Philosophy ◽  
Business Units ◽  
Structural Capital ◽  
Practical Implications

Purpose This study aims to examine intellectual capital disclosure (ICD) on Twitter by 60 of the world’s largest companies and explains the main themes communicated to stakeholders. The second objective is to determine which topics provoke most stakeholders’ reactions. Design/methodology/approach The authors perform content analysis on more than 42,000 tweets to examine ICD practices along with the reactions of stakeholders in the form of retweets and “favorites” toward the information disclosed. Findings Intellectual capital (IC) is an important theme in corporate disclosure practices, as more than one-third of the published tweets refer to IC. The world’s largest companies focus on relational capital information, followed by human and structural capital. The main IC themes disclosed were management philosophy, corporate reputation and business partnering. Tweets related to IC are of greater interest to stakeholders than other tweets and provoke more reactions. There is no complete consistency between the topics most intensively disclosed by companies and those that elicit the most vivid responses from the addressees. Practical implications This study offers an understanding of the world’s largest companies’ practices that refer to ICD via social media and has implications for organizations in the creation and use of communication channels when developing a dialogue with stakeholders on topics regarding IC that may lead to better management of IC performance. Originality/value This paper is a response to the call for studies on ICD via social media, which is strongly highlighted in the recent literature concerning future research on IC and until now was almost absent in the field of business units. This research provides in-depth insights into the use of Twitter to disclose IC elements and indicates which fields and topics of this disclosure provoke stakeholders’ reactions, which is a novelty in ICD studies.

Barriers to bond financing for public-private partnership infrastructure projects in emerging markets

2017 ◽  
Vol 22 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Solomon Olusola Babatunde ◽  
Srinath Perera
Keyword(s):  
Factor Analysis ◽  
Emerging Markets ◽  
Empirical Studies ◽  
Principal Component ◽  
Public Private Partnership ◽  
Bond Markets ◽  
Infrastructure Projects ◽  
Chi Square ◽  
Private Partnership ◽  
Content Type

Purpose The purpose of this study is to identify and critically assess the barriers to bond financing for public–private partnership (PPP) infrastructure projects in Nigeria using an empirical quantitative analysis. Innovative ways to finance long-term infrastructure projects had been documented. However, there is a dearth of empirical studies on the barriers to bond financing for PPP infrastructure projects. Design/methodology/approach A comprehensive literature review was conducted to identify the barriers to bond financing for infrastructure projects, which were employed to design a questionnaire. A questionnaire survey was carried out which targeted financial experts in the Nigerian financial institutions/local banks. Data collected were analysed using descriptive and inferential statistics to include mean score, chi-square (χ2) test and factor analysis (principal component analysis). Findings The analysis of the ranking in terms of the mean score values for the 12 identified barriers indicated that all the identified barriers are considered by respondents as critical barriers to bond financing for PPP infrastructure projects in Nigeria. The study, through factor analysis, grouped the 12 identified barriers into 5 principal factors. These include governance and institutional capacity issues, higher issuance cost and risk, difficulties in getting approval for changes, the small size of bond markets and stringent disclosure requirements. Practical implications This research is significant by providing the empirical evidence of the barriers to bond financing for PPP infrastructure in emerging markets, especially in Nigeria. Originality/value The findings would enable the policymakers to draw some policy recommendations that will positively influence the development of bond markets in Nigeria and emerging markets at large. These study findings are crucial, as not many empirical studies have been conducted in Nigeria.

Intellectual capital and performance

2018 ◽  
Vol 19 (2) ◽  
pp. 407-452 ◽  
Author(s):  
Eugénia Pedro ◽  
João Leitão ◽  
Helena Alves
Keyword(s):  
Intellectual Capital ◽  
Research Question ◽  
Empirical Studies ◽  
Content Type ◽  
Wide Range ◽  
Depth Study ◽  
Global Vision ◽  
Customer Capital ◽  
And Performance ◽  
The Relationship

Purpose The purpose of this paper is to determine the predominant classification of intellectual capital (IC), in terms of components, using the literature of reference on the relationship between IC and performance and considering multi-dimensional analysis axes (MAAs): organisational, regional and national. Design/methodology/approach A systematic literature review (SLR) is presented focussing on empirical studies on IC published in the period 1960-2016. A protocol for action is defined and a research question is raised, gathering data from the databases of: Web of Science, Scopus and Google Scholar. A social network analysis is also provided to determine the type of networks embracing groups, IC individual components and performance type. Findings Of the 777 papers included in the SLR, 189 deal with the relationship between IC and performance. The paper highlights the greater development of empirical studies starting from 2004; the organisational MAA is the most studied. The most frequently used groups of components in studies dealing with IC’s influence on performance corresponds to a triad of human capital; structural (organisational or process) capital; and relational (social or customer) capital, which determine positively the performance of organisations/regions/countries, but their influence is not linear and depends on various factors associated with the context and surrounding environment. Practical implications This study has wide-ranging implications for politicians/governments, managers and academics, providing empirical evidence about the relationships between the components of IC and performance, by MAAs, and a global vision and better understanding of how those IC components have developed and how they are related to performance. Originality/value Due to the high number of references covering a wide range of disciplines and the various dimensions (e.g. organisational, regional and national) that form IC, it becomes fundamental to carry out an SRL and systematise its MAAs to deepen knowledge about what has been discovered/developed in this domain, in terms of empirical studies, in order to situate the topic in a wider theoretical-practical context. The paper is exceptionally wide-ranging, covering the period 1960-2016. It is one of the first clarifying studies on systemisation of the literature on IC, by MAA, and an in-depth study of IC’s impact on the performance of organisations/regions and countries which may serve as a guideline for future studies using the taxonomy proposed.

Does intellectual capital impact firms' capital structure? Exploring the role of firm risk and profitability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
A. D'Amato
Keyword(s):  
Capital Structure ◽  
Intellectual Capital ◽  
Value Added ◽  
Firm Risk ◽  
Financial Leverage ◽  
Data Set ◽  
Content Type ◽  
Novel Approach ◽  
Firm Profitability ◽  
The Relationship

PurposeThe purpose of this paper is to analyze the relationship between intellectual capital and firm capital structure by exploring whether firm profitability and risk are drivers of this relationship.Design/methodology/approachBased on a comprehensive data set of Italian firms over the 2008–2017 period, this paper examines whether intellectual capital affects firm financial leverage. Moreover, it analyzes whether firm profitability and risk mediate the abovementioned relationship. Financial leverage is measured by the debt/equity ratio. Intellectual capital is measured via the value-added intellectual coefficient approach.FindingsThe findings show that firms with a high level of intellectual capital have lower financial leverage and are more profitable and riskier than firms with a low level of intellectual capital. Furthermore, this study finds that firm profitability and risk mediate the relationship between intellectual capital and financial leverage. Thus, the higher profitability and risk of intellectual capital-intensive firms help explain their lower financial leverage.Research limitations/implicationsThe findings have several implications. From a theoretical standpoint, the paper presents and tests a mediating model of the relationship between intellectual capital and financial leverage and its underlying processes. In terms of the more general managerial implications, the results provide managers with a clear interpretation of the relationship between intellectual capital and financial leverage and point to the need to strengthen the capital structure of intangible-intensive firms.Originality/valueThrough a mediation framework, this study provides empirical evidence on the relationship between intellectual capital and firm financial leverage by exploring the underlying mechanisms behind that relationship, which is a novel approach in the literature.

Intellectual capital and supply chain resilience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Shujaat Mubarik ◽  
Nick Bontis ◽  
Mobasher Mubarik ◽  
Tarique Mahmood
Keyword(s):  
Supply Chain ◽  
Least Squares ◽  
Partial Least Squares ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Structural Capital ◽  
The Impact

PurposeThe main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.Design/methodology/approachData were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.FindingsEmpirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.Practical implicationsFindings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.Originality/valueThis research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.

Materiality assessment: the case of Latin American listed companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yully Marcela Sepúlveda-Alzate ◽  
María Antonia García-Benau ◽  
Mauricio Gómez-Villegas
Keyword(s):  
Latin American ◽  
Social Issues ◽  
Construction Materials ◽  
Field Research ◽  
Principal Component ◽  
Sustainability Reporting ◽  
Listed Companies ◽  
Future Research ◽  
Content Type ◽  
Sustainability Reports

Purpose This paper aims to propose a measurement of the materiality of environmental, social and governance information (ESG) reported by listed companies belonging to sensitive industries in Colombia, Mexico, Brazil, Chile and Argentina. This analysis is carried out from the insights of stakeholder theory, legitimacy theory and institutional theory. The research questions addressed are: What type of information is considered as material by Latin American companies? Does this information respond to the environmental and social issues within the context of Latin American companies and the needs of their stakeholders? Design/methodology/approach A materiality index is developed from principal component analysis and factor analysis, which are multivariate analysis statistical techniques used in various fields to develop indices. The designed index examines materiality in the sustainability reports of 65 companies for 2017 and 67 companies for 2018. These firms belong to the energy, mining, chemical, construction, construction materials and public services industries in Colombia, Mexico, Chile, Argentina and Brazil. Findings The results show medium-high materiality indices, mostly in Chilean, Mexican and Colombian companies. In addition, issues such as water management, climate change and occupational health and safety are particularly interesting for companies. For the two years studied and from the perspective of material aspects for the company and its stakeholders, energy, mining and utilities (drinking water and sewage) sectors obtained the highest scores. This shows that the disclosure of ESG information is higher in industries related to the exploitation of natural resources that cause adverse effects on the environment such as extractive industries. Both the analysis presented in this paper and the materiality measurement developed, allow social responsibility managers to have a standard on the level of importance allotted to the different topics disclosed in sustainability reports. Additionally, this study provides a perspective of the material issues recognized by sensitive industries with great environmental impact. Similarly, an analysis of the issues considered material by stakeholders is provided. This allows such issues to be compared, identifying similarities and differences among the issues regarded as material by a company and its stakeholders. Practical implications The paper opens the debate is open as to whether the information disclosed response to the needs of stakeholders or whether, on the contrary, the materiality analysis is a process that emerges simply from the interests of the company. These demands for qualitative and field research to complement quantitative studies such as this one to research the stakeholders’ engagement processes in context. Social implications The paper’s purpose a challenge for future research is to strengthen the use of various methodologies that allow knowing the participation processes in the definition of materiality in the ESG information and the companies’ engagement with stakeholders. This stimulates research in the region, which is still in its infancy. Originality/value The international literature contains few studies related to the assessment of materiality for sustainability reporting. So this paper contributes proposes measurement of materiality for ESG information.

Intellectual capital and knowledge generation: an empirical study from Colombian public universities

2020 ◽  
Vol 21 (6) ◽  
pp. 1053-1084
Author(s):  
John Salinas-Ávila ◽  
René Abreu-Ledón ◽  
Johnny Tamayo-Arias
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Online Survey ◽  
Public Universities ◽  
Knowledge Generation ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital

PurposeThe purpose of this paper is to provide empirical evidence on the relationships between the dimensions of intellectual capital (IC) and the generation of knowledge in public universities.Design/methodology/approachAn online survey was developed and administered in Colombia. A total of 209 researchers participated in the study. Data were collected through IC measurements concerning the research mission of the universities. Scientific publications from the respondents and the citations received were taken as proxies for the generation of knowledge. To test the hypotheses, structural equation modeling was used.FindingsHypotheses proposing a positive association between the dimensions of IC, namely, human capital, structural capital, and relational capital, and the generation of knowledge were tested. The findings highlight that human capital is indirectly and positively related to the generation of knowledge through relational capital, as well as through the path of structural capital-relational capital.Practical implicationsThe study suggests that directors of research at universities could improve the results of this activity by analyzing and understanding the dimensions of IC that contribute to the development of scientific capacities and the generation of knowledge.Originality/valueThis is one of the first studies that has examined the interrelationships between the dimensions of IC at universities and the generation of knowledge.

The relationship between corporate governance and intellectual capital

2019 ◽  
Vol 61 (2) ◽  
pp. 384-401 ◽  
Author(s):  
Amina Buallay ◽  
Allam Hamdan
Keyword(s):  
Corporate Governance ◽  
Firm Size ◽  
Intellectual Capital ◽  
Content Type ◽  
Listed Firms ◽  
Pooled Data ◽  
Structural Capital ◽  
Capital Efficiency ◽  
High Level ◽  
The Relationship

Purpose The purpose of this study is to examine the moderating role of firm size on the relationship between corporate governance (CG) and intellectual capital (IC) efficiency. Design/methodology/approach The methodology was a pooled data for three years (2012-2014) for 171 listed firms, resulting in 489 observations. Findings The findings revealed that the inclusion of firm size as a moderating variable has influenced positively only the relationship between CG principles and capital employed efficiency (CEE). Further, the finding showed that the two IC components namely, human capital efficiency and structural capital efficiency, tend to be higher with firms that high level of CG adoption. However, CEE tends to be higher with firms that have lower level of CG adoption. Other finding shows that CG index was significant with the three IC components. Originality/value Such information will help the stakeholders, investors, decision-makers, regulators, policymakers and scholars to improve their knowledge about IC. Furthermore, it will be useful for firms to place their priorities regarding the internal system and financial plans for effective and efficient use of CG and IC.

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