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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.

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.

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.

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.

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.

Intellectual capital (IC) plays a crucial role in today’s volatile business landscape, yet its measurement remains complex. To better navigate these challenges, the authors propose the Integrated Intellectual Capital Measurement (IICM) model, an innovative, robust and comprehensive framework designed to capture IC amid business uncertainty. This study focuses on IC measurement models, typically reliant on secondary data, thus distinguishing it from conventional IC studies.

The authors conducted a systematic literature review (SLR) and bibliometric analysis across Web of Science, Scopus and EBSCO Business Source Ultimate in February 2023. This yielded 2,709 IC measurement studies, from which the authors selected 27 quantitative papers published from 1985 to 2023.

The analysis revealed no single, universally accepted approach for measuring IC, with company attributes such as size, industry and location significantly influencing IC measurement methods. A key finding is human capital’s critical yet underrepresented role in firm competitiveness, which the IICM model aims to elevate.

This is the first SLR focused on IC measurement amid business uncertainty, providing insights for better management and navigating turbulence. The authors envisage future research exploring the interplay between IC components, technology, innovation and network-building strategies for business resilience. Additionally, there is a need to understand better the IC’s impact on specific industries (automotive, transportation and hospitality), Social Development Goals and digital transformation performance.

The study aims to test the framework that proposes the role of resources (intellectual capital) in mobilizing entrepreneurial orientation that influences the competitiveness improvement of micro-small-medium enterprises (MSMEs) under the lens of resource orchestration theory.

In this study, 347 respondents from the MSMEs participated through a structured questionnaire. For the data analysis purpose, the structural equation modeling technique was employed using SmartPLS software.

The results suggest human, structural, and relational capital are significant antecedents of entrepreneurial orientation, which leads to competitiveness improvement. The findings also indicate the mediation role of entrepreneurial orientation between intellectual capital and competitiveness improvement.

The current study presumably will supplement the promising research effort to progress the research orchestration theory and also could be a strategic guideline for the managers/owners of the MSMEs.

This study is possibly a novel attempt to divulge the association between intellectual capital (tripartite model) and competitiveness improvement of firms under the lens of resource orchestration theory.

The purpose of this study is to evaluate the synergy of corporate governance (CG) with intellectual capital (IC) and to assess the moderating effect of profitability indicator on the aforementioned synergy using agency theory, resource-based view theory and theory of financial ratios as conceptual frameworks.

The sample includes 72 companies with a six-year data set drawn from the KSE 100 Index companies of Pakistan. In addition, the study adopts Pulic’s model to compute the efficiency of IC. The research uses fixed-effect panel regression for analysis and two-stage least squares regression (2SLS) to address endogeneity issues in the estimation process.

The results showcased that chief executive officer duality possesses negligible impact on IC efficiency (ICE), while independent directors, audit committees and board size tend to attain a strong association with IC. Moreover, it postulates that the moderation of return on equity strengthens the path between all governance components and ICE significantly.

The research uses a 2SLS regression analysis to explore how CG practices take hold on the effectiveness of IC in Pakistan while taking into account the moderating impact of profitability. The findings add to the body of knowledge on the value that strong governance practices have on businesses and society.

This study investigates the effect of intellectual capital (IC) and its components on the technical efficiency of Indian commercial banks after controlling the influence of bank-specific and macroeconomic variables.

The study selects a sample of 37 listed Indian commercial banks from 2005 to 2019 and uses the two-step data envelopment analysis (DEA) approach. Banks' technical efficiency scores are first estimated, while the relationship between IC and technical efficiency is examined in the second stage using the panel data Tobit model.

This study's findings suggest a fluctuating trend in the technical efficiency of Indian banks. Notably, from 2015 onwards, a declining technical efficiency trend is observed for all banks. However, private-sector banks outperform public-sector banks in terms of technical efficiency. This study's regression analysis indicates a positive relationship between IC and banks' technical efficiency scores. Further, by decomposing IC into its components like human capital, structural capital and capital employed, the study's findings show that human capital and structural capital enhance banks' technical efficiency. Notably, capital employed reduces technical efficiency. Moreover, bank size, diversification, capitalization, net interest margin and the country's growth rate significantly drive Indian banks' efficiency. In contrast, their operating cost ratio and the country's inflation negatively influence the same.

This study makes a novel endeavor to examine the IC and bank's technical efficiency nexus in the Indian context, encompassing a period of landmark banking reforms.

The purpose of this study is to investigate the mediating role of intellectual capital (IC) on the association between corporate governance mechanism (CGM) and the financial efficiency of Islamic banks (Z-score, net investment income and loan to deposit) and verify it through standard mediation in the panel based on interaction.

The data of this study draws from 125 full-fledged Islamic banks and windows from 26 Organization of Islamic Cooperation (OIC) over the period of 2009 to 2019. A two-step system generalize method of moment estimation is used to test the hypotheses.

The results underwrite that the inclusion of IC as a mediating variable has influenced positively the corporate governance and financial efficiency of IBs. Besides, only CEO power and Shariah supervisory board positively affect the financial efficiency of IBs. While structural capital and relational capital positively affect the financial efficiency of IBs. Apart from that, results show that the CGM has a significant relationship with the IC value of IBs.

These findings are valuable for policymakers and regulators to set policies to improve CG structure and effective use of IC resources to improve banking efficiency. Additionally, findings might be helpful for the bankers to proficiently use the IC as a premise to plan new strategies to get an upper hand in financial performance.

This study extends and contributes to the current literature by analysing the role of IC along with CG to boost the financial efficiency of banks in OIC countries.

Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in the banking industry, it is vital to understand the effect of IC on financial performance. This study aims to investigate the effect of IC on return on equity (ROE), with a unique emphasis on the moderating role of board attributes. Previous studies have overlooked this moderating role.

The study sample consists of 17 banks and a panel data set spanning 2016–2021, extracted from annual reports. Antel Pulic’s value-added intellectual coefficient (VAIC) model is used to compute IC. To analyze the data, a generalized least squares analysis is conducted. The robustness of the analysis is ensured by using the two-stage least squares (2SLS) econometric technique.

The findings indicate that both the VAIC and human capital efficiency (HCE) have a significant impact on the ROE of banks. In terms of moderation, it is observed that board size (BS) exerts a negative effect on the association between VAIC, HCE, structural capital efficiency and ROE. Additionally, BS positively compounds the connection between capital employed efficiency and ROE. Similarly, the presence of independent directors (IND) significantly moderates the effects of VAIC and its components on the ROE of banks in Pakistan.

Banks should focus on the HCE for a higher ROE. Moreover, banks ought to prioritize appointing more independent directors in the boardroom for effective utilization of IC and greater ROE.

The findings of the study, which analyzed data from Pakistan’s banking sector, are original and provide additional insights into the literature on IC and board attributes.

Based on the intellectual capital (IC) theory and the resource-based view (RBV), the paper seeks to elucidate the direct and indirect relationships between IC and competitive advantage in small and medium enterprises (SMEs). Therewithal, besides examining the mediating role of innovation capabilities in the IC-competitiveness link, it scrutinizes the moderating effect of entrepreneurial orientation in causing IC to boost competitiveness in SMEs through flourishing innovation capabilities.

Data were collected from 206 participants working in SMEs operating in the Kingdom of Saudi Arabia with the help of a structured questionnaire distributed through LinkedIn. Partial least square (PLS)-based structural equation modeling (SEM) using SmartPLS 4.0 has been performed to calibrate the auxiliary and structural models.

Based on the empirical analysis, IC significantly and directly enhances the competitive advantages of SMEs. Additionally, innovative capability has been found to be a complementary partial mediating condition in enabling IC to foster competitiveness in SMEs. Furthermore, the moderated mediation analysis reveals that innovation capabilities strongly mediate the association between IC and competitiveness in SMEs, characterizing higher entrepreneurial orientation.

The study provides significant insights to academicians and practitioners seeking to comprehend or configure interactions among IC, innovation capabilities, and entrepreneurial orientation in maturing competitiveness among SMEs, especially in emerging economies. Furthermore, the study provides a valuable integrative perspective on SMEs’ competitiveness by involving three voguish constituents of contemporary scholarly discourse grounded into the leading underpinning theoretical perspectives, such as IC theory, RBV, and entrepreneurship theory.

The uniqueness of this model lies in its rich theory-laden conceptualization and explanation that could extend theoretical debate and managerial action to the next levels.

This study aims to investigate the roles of intellectual capital efficiency and institutional ownership on cash holdings and their speed of adjustment.

Using a sample of 432 firm-year observations of tourism-listed companies, three measures of cash holdings are used as dependent variables and intellectual capital efficiency and institutional ownership as independent variables. The financial data is collected from the S&P Capital IQ database for the period 2015–2020. Two system-generalized methods of moment estimation are used for the robustness checks of the results.

The study provides evidence that an increase in intellectual capital efficiency in tourism firms results in lower cash holdings. The research findings also report that characteristics such as firm size, age and market-to-book value ratio are associated with cash holdings. Furthermore, institutional ownership in these firms did not affect the cash holdings. The results also confirm the existence of a target cash holding level to which the tourism firms attempt to converge. These results are robust to the alternative proxy of cash holding and endogeneity tests.

The study uses intellectual capital efficiency measured by the model proposed by Pulic. Alternative measures of intellectual capital can be included in future studies. Future research can also investigate the impact on cash holdings before and during the pandemic for tourism companies. The study is limited to the impact of institutional ownership; thus, research can be extended to consider other types of ownership.

The findings of this study indicate that tourism companies should take into account the impact of intellectual capital efficiency on their cash holding decisions. The industry uses a specific financial management strategy in light of better efficiency and possibly values the opportunity cost of holding more cash. Additionally, regulators should re-examine the role of institutional ownership in tourism firms, as it was found to have no impact on cash holdings. The regulators may need to consider other factors, such as firm size and age, when developing policies and regulations to ensure that tourism firms have adequate cash holdings.

This study adds to the body of knowledge on the factors that influence cash management and ideal cash levels for the tourism industry. The examination of the effect of intellectual capital on cash holdings is a novel contribution, filling a gap in the existing literature. The findings on the speed of adjustment towards optimal cash holdings also provide support for the trade-off theory.

This study aims to examine the impact of intellectual capital (IC) on default risk in Indian companies listed on the National Stock Exchange.

This study applies panel data regression analysis to derive a relationship between IC and default risk for the sample period 2013–2022. The value-added intellectual coefficient (VAIC) of Pulic (2000) has been applied to measure IC performance, and default risk is estimated using the revised Z-score model of Altman (2000).

The results revealed a positive association between Z-score and VAIC. It implies that a higher value of VAIC improves financial stability and leads to a lower likelihood of default. The findings further suggest that new default forecasting models can be experimented with IC indicators for better default prediction.

The findings can have implications for investors and banks. This paper provides evidence of IC performance in improving the financial solvency of firms. Investors and financial institutions should invest their resources in a healthy firm that effectively manages and invests in their IC. It will eventually award investors and creditors high returns through efficient value-creation processes.

This study provides evidence of IC performance in improving the financial solvency of Indian high-defaulting firms, which lacks sufficient evidence in this domain of research. Numerous studies exist examining the relationship between firm performance and IC value, but this area is inadequately focused and underresearched. This study, therefore, fills the research gap from an Indian perspective.