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1 – 10 of over 1000Countries worldwide aim to improve their comparative advantages by efficiently using scarce resources for economic growth and development. While many studies have been conducted…
Abstract
Purpose
Countries worldwide aim to improve their comparative advantages by efficiently using scarce resources for economic growth and development. While many studies have been conducted to measure intellectual capital at the firm's level, measuring it at the national level has been under-examined. In addition, while the important role of national intellectual capital in economic growth has been theoretically recognized in literature, this important link has largely been ignored in empirical analyses.
Design/methodology/approach
This study uses the newly developed index of national intellectual capital from Vo and Tran's (2022) study to examine its effects on national economic growth in the long run. The dynamic common correlated effects technique and the pooled mean group estimation are used on the sample of 23 economies in the Asia–Pacific region from 2000 to 2020.
Findings
Findings from this study confirm the positive and significant contribution of the national intellectual capital to economic growth in the region. The authors also find that, as a feedback effect, economic growth will also enhance and improve the accumulation of national intellectual capital.
Practical implications
The findings of this paper provide valuable evidence and implications for policymakers in managing and improving national intellectual capital in the Asia–Pacific region.
Originality/value
To the best of the authors’ knowledge, this is the first empirical study to examine the impact of national intellectual capital on economic growth in the long run in the Asia–Pacific economies.
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The studies that explore the impacts of national intellectual capital on informal economy are scant. Moreover, the effect of an external factor such as institutional quality that…
Abstract
Purpose
The studies that explore the impacts of national intellectual capital on informal economy are scant. Moreover, the effect of an external factor such as institutional quality that moderates this relationship has largely been neglected in previous studies. Institutions are considered important pillars to accumulate national intellectual capital and reduce shadow economy. As such, this paper aims to investigate how institutional quality moderates the effects of national intellectual capital on informal economy in 17 Asian countries from 2000 to 2018.
Design/methodology/approach
This paper uses the generalized method of moments techniques, which allow cross-sectional dependence and slope homogeneity in panel data, to examine the moderating role of institutional quality on the relationship between national intellectual capital and informal economy. Various tests are conducted to ensure the robustness of the findings.
Findings
Empirical findings from this paper indicate that an increase in national intellectual capital and institutional quality declines the informal economy. Interestingly, better institutional quality aggravates the negative effects of national intellectual capital on reducing the size of informal economy. The author also finds that enhancing international trade and economic growth results in a decrease in the informal economy in Asian countries.
Practical implications
Empirical findings offer policymakers an indication of the relationships between national intellectual capital, institutional quality and informal economy, pointing out that national intellectual capital and institutional quality should be strengthened to allow Asian countries to limit the informal economy.
Originality/value
This study provides a conceptual model through which the moderating role of institutional quality on the national intellectual capital–informal economy nexus can be recognized. This approach has thus far not been investigated in the existing literature. To the best of the author’s knowledge, this study makes an original contribution to the empirical of national intellectual capital and informal economy nexus and produces new insights into the fields of the moderating effects of institutional quality on this nexus.
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Ahmed Mohamed Habib and Nahia Mourad
This study develops a robust model to measure intellectual capital efficiency (ICE). It also analyzes ICE across Gulf companies, sectors and countries.
Abstract
Purpose
This study develops a robust model to measure intellectual capital efficiency (ICE). It also analyzes ICE across Gulf companies, sectors and countries.
Design/methodology/approach
This study uses data envelopment analysis (DEA), the Malmquist productivity index (MPI), difference tests and additional analyses on a dataset consisting of 276 firm-year observations.
Findings
The findings indicate that the study model is robust to additional analysis. The results show significant differences in ICE between firms during the study period and noteworthy differences between countries, where the Qatari and Bahraini firms achieved the best ICE compared to other countries.
Practical implications
The results of this study have significant ramifications for increasing knowledge of ICE analysis models among relevant parties. In addition, the findings may affect trading strategies because investors and financiers are motivated by the potential for lucrative financial returns on their investments in companies that prioritize ICE strategies.
Originality/value
This research contributes to the literature by proposing a robust model for estimating the ICE. It also compares ICE across Gulf companies, industries and countries to shed light on their ICE challenges.
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Fuping Bai, Mengting Shang, Yujie Huang and Donghui Liu
Based on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of…
Abstract
Purpose
Based on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of intellectual capital. Additionally, it explores the heterogeneous impacts of digital investment on enterprise value and intellectual capital.
Design/methodology/approach
The study utilizes a sample of listed companies in Chinese A-shares from 2013 to 2020. The entropy-weighted method is applied to measure digital investment from two dimensions: scale and increment. Finally, the research hypotheses are tested through multiple regression analysis.
Findings
The empirical results demonstrate that digital investment significantly and positively impacts enterprise value. From the channel mechanism test, digital investment can enhance enterprise value by influencing intellectual capital through human, structural and relational capital. Of these, the mediating effect of human capital is the most significant. Moreover, the impacts of digital investment on enterprise value and intellectual capital are related to the industry sectors. In the agricultural sector, digital investment has adverse effects. In the industrial and service sectors, digital investment promotes intellectual capital and enterprise value. However, in the service sector, the impact on relational capital is not significant, and the mediating effect of relational capital does not hold.
Research limitations/implications
This research has a limited potential for generalization due to the lack of standard measurement models for the exploration of digital investment.
Practical implications
The research findings are valuable for assessing the economic effects of digital investment comprehensively and providing essential information for policy formulation and strategy implementation.
Originality/value
This study represents the first attempt to evaluate the relationship between digital investment and enterprise value using the entropy-weighted method. In addition, this study investigates the mediating role of intellectual capital.
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This paper aims to evaluate the impact of intellectual capital in terms of human capital, structural capital and capital employed on the financial performance of Islamic and…
Abstract
Purpose
This paper aims to evaluate the impact of intellectual capital in terms of human capital, structural capital and capital employed on the financial performance of Islamic and conventional banks in the Gulf Cooperation Council (GCC) countries.
Design/methodology/approach
Along with the measurement discussion, the empirical analysis examines the relationship between intellectual capital measured through value-added intellectual coefficient (VAIC) and the financial performance of banks in the GCC states by conducting a panel of six GCC countries, including 24 Islamic banks and 32 conventional banks covering 2012–2020 period.
Findings
This paper shows that while Islamic banks have similar VAIC, human capital efficiency and capital employed efficiency results to conventional banks, Islamic banks have lagged behind conventional banks regarding the impact of structural capital on financial performance. It is argued that this is in contradiction with Islamic ontology and epistemology, which essentialises intellectual capital formation.
Practical implications
Islamic banks should promote research and development for their intellectual capital at the product, operational and institutional levels, as Islamic banking is considered an alternative financing method, incorporating a new form of knowledge-based institutions inspired by capitalist institutions.
Originality/value
This study conducts a comparative examination of the intellectual capital performance and its impact on financial performance by using interaction variables to capture any differences between Islamic banks and conventional banks in the GCC countries. The paper also considers the knowledge economy impact as a novelty, which is prominent for the GCC countries. In addition, Islamic ontology’s essentialisation of knowledge and its articulation in the form of intellectual capital within modern understanding is widely discussed, as part of originality. Finally, the findings are located within Islamic ontology and epistemology.
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Samuel Mongrut, Luis Berggrun, Klender Cortez Alejandro and Martha del Pilar Rodríguez García
The study aims to examine the impact of intellectual and social capital in funding businesses.
Abstract
Purpose
The study aims to examine the impact of intellectual and social capital in funding businesses.
Design/methodology/approach
The study made use of fixed-effects panel data models with a sample of 142 countries from the five continents during the period 1998–2018.
Findings
It was found that human capital (HC), relational capital, structural capital and social capital play a role in investors’ decisions to fund a business. The study revealed that investors’ funding decisions in low human development index countries are based mainly on education, while those in high human development index countries are based mainly on the creativity component of HC and on relational, structural and social capital.
Research limitations/implications
The study needs to be replicated using firm-level data within each country. Moreover, the search for new proxies for intellectual and social capital (although the list of variables is exhaustive) both at the country and firm level, constitutes an interesting avenue for future research.
Practical implications
Countries should pay attention to intellectual and social capital to encourage business activity. In particular, low human development countries should strengthen HC, such as the school enrollment rate, with early entrepreneurial training and increase research and development investments, while high human development countries should continue to foster strategic alliances, protect intellectual property and maintain or increase the level of trust in the country.
Originality/value
The study contributes to literature by being the first to explore such a variety of intellectual and social capital variables from a country-level perspective.
Objetivo
El estudio tiene como objetivo examinar el impacto del capital intelectual y social en la financiación de las empresas.
Diseño/metodología/enfoque
Utilizamos modelos de datos de panel de efectos fijos con una muestra de 142 países de los cinco continentes durante el periodo 1998-2018.
Resultados
Encontramos que el capital humano (CH), el capital relacional, el capital estructural y el capital social juegan un papel en las decisiones de los inversionistas para financiar un negocio. Encontramos que las decisiones de financiamiento de los inversionistas en los países con bajo índice de desarrollo humano se basan principalmente en la educación, mientras que las de los países con alto índice de desarrollo humano se basan principalmente en el componente de creatividad del CH y en el capital relacional, estructural y social.
Limitaciones/implicaciones de la investigación
Sugerimos replicar el estudio utilizando datos a nivel de empresa dentro de cada país. Por otra parte, la búsqueda de nuevos indicadores de capital intelectual y social (aunque nuestra lista de variables es exhaustiva) tanto a nivel de país como de empresa, constituye una vía interesante para futuras investigaciones.
Implicaciones prácticas
Los países deben prestar atención al capital intelectual y social para fomentar la actividad empresarial. En particular, los países con bajo desarrollo humano deberían fortalecer el CH, como la tasa de matriculación escolar, con una formación empresarial temprana y aumentar las inversiones en investigación y desarrollo, mientras que los países con un alto nivel de desarrollo humano deberían seguir fomentando las alianzas estratégicas, proteger la propiedad intelectual y mantener o aumentar el nivel de confianza en el país.
Originalidad/valor
El estudio contribuye a la literatura al ser el primero en explorar tal variedad de variables de capital intelectual y social desde una perspectiva a nivel de país.
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Amal Al Muqarshi, Sharifa Said Al Adawi and Sara Mohammed Al Bahlani
A majority of higher education institutions (HEIs) in Oman, and internationally, have adopted English as the language of education, driven by its power and its globally accepted…
Abstract
Purpose
A majority of higher education institutions (HEIs) in Oman, and internationally, have adopted English as the language of education, driven by its power and its globally accepted status as the language of knowledge and communication. Such an internationalisation policy has been inadequately evaluated to examine its actual effects. This paper aims at analysing the existing literature with a view to hypothesise the effects of adopting English as a medium of instruction (EMI) on establishing intellectual capital in the Omani context.
Design/methodology/approach
The paper employs a case study design that draws on data generated through a systematic review of 94 peer-reviewed papers that are synthesised using thematic analysis.
Findings
The findings indicate that EMI negatively affects the optimal creation of intellectual capital through limiting access to HE, hindering knowledge transfer, impeding Omanis' employability and hindering faculty's professional growth. EMI leads HEIs to mirror the supplying countries' cultures in terms of materials, ideologies and standards. It affects teaching and research quality, training and communication, the sense of equity, belonging and self-worth amongst students and the relationships amongst faculty members. It also increases reliance on external stakeholders.
Research limitations/implications
The paper highlights the interconnection between the forms of intellectual capital and how some components are antecedents to the creation of the intellectual capital forms. It establishes the moderating role the language of instruction plays in relation to the three sub forms of intellectual capital in higher education.
Practical implications
The paper calls for maximising higher education intellectual capital through adopting bilingual rather than monolingual higher education. It calls upon policymakers to revisit the assumptions underlying higher education systems in order to optimise their outcomes.
Originality/value
The paper is the first one that sheds light on the role of language in intellectual capital construction. Such a moderating role has received almost no attention in the higher education literature that is largely busy quantifying its outcomes rather than ensuring they are actually sustainably generated.
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Bindu Singh and Pratibha Verma
This study examines how intellectual capital (IC) drives firm performance via the lens of dynamic capabilities (DCs). Drawing on resource-based view (RBV) and dynamic capability…
Abstract
Purpose
This study examines how intellectual capital (IC) drives firm performance via the lens of dynamic capabilities (DCs). Drawing on resource-based view (RBV) and dynamic capability view (DCV), the authors elaborate the mediating role of learning, integration and reconfiguration DC in the Indian banking context.
Design/methodology/approach
A sample of 358 top- and middle-level managers from the Indian banking sector was administered with structured questionnaires for data collection. Structural equation modeling (SEM) and Sobel test were used to analyze the data and test the hypothesized mediating effect.
Findings
The findings reveal that learning and integration DCs are key mediators in IC and banks' performance relationships in an emerging economy context. In contrast, the analysis revealed partial mediating role of reconfiguration DC. Furthermore, the learning DC has been identified as the primary mediating mechanism for transforming bank's IC into performance benefits.
Practical implications
This study provides an important implication for the IC and DC link by empirically developing and validating a model in the Indian banking sector and making a several contributions to the related literature. This sector needs to incorporate and strengthen their IC and DCs to attain enhanced performance in today's dynamic environment. Bank managers can use these findings to bring their knowledge-related activities to channelize specific DCs to transform banks' IC when seeking to improve overall performance. Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence firm performances with the help of IC, learning, integration and reconfigurations DCs.
Originality/value
Although several studies have investigated the links between IC, DC and firm performance, studies on emerging economies are scarce. This study is one of the most in-depth investigations of the relationship between IC, learning, integration and reconfiguration DCs and firm performance in an integrated framework, with a particular focus on the banking sector of an emerging economy.
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Ayse Asli Yilmaz and Sule Erdem Tuzlukaya
The purpose of this study is to depict the value added by digital transformation to intellectual capital (IC) by virtue of the studies reached by the literature review on…
Abstract
Purpose
The purpose of this study is to depict the value added by digital transformation to intellectual capital (IC) by virtue of the studies reached by the literature review on different databases are examined.
Design/methodology/approach
Journal of Intellectual Capital, which has the highest number of records from the resources included in the “Web of Science” content and covering the title of “intellectual capital” has been selected in this study. Research using bibliometric analysis has been conducted and it has been determined that the terms “digital transformation” and “intellectual capital” should be searched for simultaneously in each and every article published in the journal between the years 1975 and 2022.
Findings
A bibliometric analysis and citation mapping process are carried out considering all dimensions to reach the results and interpretation of findings. VOSviewer is used to visualize the bibliometric networks of results and findings in the form of scientific mapping, as well as to visualize the co-authorship analysis of keywords, co-authorship analysis and citation networks.
Research limitations/implications
Bibliometric analysis is a method that can be used to evaluate the performance of a single journal. However, it is important to note that bibliometric analysis has some limitations when it comes to assessing the validity of a single journal. This circumstance is elaborately described as a limitation of this study. Bibliometric analysis is a method that can be used to evaluate the performance of a single journal. However, it is important to note that bibliometric analysis has some limitations when it comes to assessing the validity of a single journal. One limitation is that bibliometric analysis is based on quantitative metrics, such as citation counts, which do not take into account the quality of the research. Therefore, bibliometric analysis alone may not provide a complete picture of the validity of a single journal. In addition, bibliometric analysis is based on the number of times a paper is cited, which can be influenced by factors such as the prestige of the journal, the field of research and the time since the publication. In conclusion, bibliometric analysis can be used to evaluate the performance of a single journal, but it is important to consider its limitations.
Originality/value
This study identified contributions, gaps and limits based on the results of a bibliometric analysis. Italy is the most influential country and the issue is structured around four clusters: IC; digital transformation; human capital; and knowledge management. As previously unexplored issues are addressed in an innovative manner, it is acceptable to underline the paper’s originality.
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