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This study examines the nature of the relationship between board structures (BSs) and intellectual capital (IC) of banks in Africa.

Using annual data from financial statements of 366 banks from 26 African countries from 2007 to 2015, the study estimates IC using the value-added intellectual coefficient (VAIC) and BSs using board size, board independence and board gender diversity. The system generalized method of moments and panel-corrected standard error estimation strategies are used to estimate panel regressions.

There is a significant negative relationship between board independence and intellectual capital. The results also indicate that the IC of banks does not depend on board size and board gender diversity.

The study's findings provide evidence of the extent to which BSs have been instituted to support investments in intellectual capital as a means of improving the performance of banks in Africa.

This study provides some empirical evidence from Africa's banking sector to justify that banks with better IC have boards that are less independent. This study is one of the few studies that employs many countries' data.

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.

This paper aims to understand the process of initiating ingredient/component (IC) branding from the supplier's perspective. It proposes modeling entrepreneurial orientation (EO) as an antecedent factor and differentiation abilities (functional and reputational) as mediators. Investigating IC branding from the supplier's perspective is critical given the cost and risk associated with implementing such a strategy.

A total of 5,254 manufacturing companies were screened to identify IC supplier firms that meet certain criteria. Survey data were collected from 77 top managers (Chief Executive Officers or Chief Marketing Officers) of IC supplier firms. The paper uses partial least squares structural equation modeling (PLS-SEM) and SPSS in analyzing data.

The results indicate that IC branding is a complex strategy – one involving a number of steps that need to be taken in a specific order. More specifically, results indicate that IC branding starts with EO exerting a positive influence on IC functional differentiation ability (FDA). FDA facilitates reputational differentiation ability (RDA), which in turn encourages the supplier to initiate IC branding.

This paper addresses an important gap by studying the process through, which suppliers initiate IC branding.

This paper aims to study the material conscious information network (MCIN) to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

This paper aims to study the MCIN to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

At last, this paper implements a prototype system of novel e-commerce platform based on the CDCI to illustrate the effectiveness and soundness of the CDCI modeling.

Different from most related works just focusing on the physiology dimension in the matching of customer and clothing, this paper proposes that the dimension of physiology, character, knowledge and experience should be synthetically considered.

The purpose of this paper is to analyze the effect of internal control on tax avoidance analyzing internal (family ownership) and external (environmental uncertainty) factors on the effectiveness of internal control in preventing tax avoidance.

First, the authors examine the direct effect of the effectiveness of internal control on tax avoidance. Second, the authors examine the effect of moderation of family ownership and environmental uncertainty on the relationship of the effectiveness of internal control on tax avoidance. Third, the authors divide the full sample into two groups, high and less effectiveness of internal control to examine the direct effect of internal control effectiveness on tax avoidance and when considering moderating variables. Fourth, the authors use two different measures of the effectiveness of internal control.

This research found that effective internal control can reduce tax avoidance. Family ownership affects the relationship between internal control and tax avoidance, but environmental uncertainty does not influence the relationship between internal control and tax avoidance.

Internal control increases compliance with rules and policies, so companies must design and implement effective internal control to prevent tax avoidance activities in violation of tax regulations.

In contrast to previous studies, this study measures the effectiveness of internal control using the index of internal control practice disclosure and considers internal and external factors that can affect the effectiveness of internal control to prevent tax avoidance.

This study aims to capture the “persistence effect” of credit risk in Indian banking industry using the bank-level data spanning over the period of 19 years from 1998/1999 to 2016/17. Alongside, the study explored how the bank-specific, industry-specific, macroeconomic variables alongside regulatory reforms, ownership changes and financial crisis affect the bank's asset quality in India.

Using two-step system generalized method of moment (GMM) approach, the study derives key factors that affect the bank's asset quality in India.

The empirical results confirm the time persistence of credit risk among Indian banks during study period. This reflects that bank defaults are expected to increase in the current year, if it had increased past year due to time lag involved in the process of recovery of past dues. Further, higher profitability, better managerial efficiency, more diversified income from nontraditional activities, optimal size of banks, proper credit screening and monitoring and adherence regulatory norms would help in improving the credit quality of Indian banks.

The practical implication drawn from the study is that nonaccumulation of nonperforming loans (NPLs), higher profitability, better managerial efficiency, more diversified income from nontraditional activities, optimal size of banks, proper credit screening and monitoring and adherence regulatory norms would help in improving the credit quality of Indian banks.

This study is probably the first one that identifies in addition to the current year, whether lag of bank industry-macroeconomic affects the level of NPLs of Indian banks. So far, such an analysis has received less attention with respect to Indian banking industry, especially immediate aftermath of the global financial crisis.

The purpose of this paper is to analyze and compare the performances of novel roadable personal air vehicle (PAV) concepts that meet established operational requirements with different types of engines.

The vehicle configuration was devised considering the dimensions and operational restrictions of the roads, runways and parking lots in South Korea. A folding wing design was adopted for road operations and parking. The propulsion designs considered herein use gasoline, diesel and hybrid architectures for longer-range missions. The sizing point of the roadable PAV that minimizes the wing area was selected, and the rate of climb, ground roll distance, cruise speed and service ceiling requirements were met. For various engine types and mission profiles, the performances of differently sized PAVs were compared with respect to the MTOW, wing area, wing span, thrust-to-weight ratio, wing loading, power-to-weight ratio, brake horsepower and fuel efficiency.

Unlike automobiles, the weight penalty of the hybrid system because of the additional electrical components reduced the fuel efficiency considerably. When the four engine types were compared, matching the total engine system weight, the internal combustion (IC) engine PAVs had better fuel efficiency rates than the hybrid powered PAVs. Finally, a gasoline-powered PAV configuration was selected as the final design because it had the lowest MTOW, despite its slightly worse fuel efficiency compared to that of the diesel-powered engine.

Although an electric aircraft powered only by batteries most capitalizes on the operating cost, noise and emissions benefits of electric propulsion, it also is most hampered by range limitations. Air traffic integration or any safety, and noise issues were not accounted in this study.

Aircraft sizing is a critical aspect of a system-level study because it is a prerequisite for most design and analysis activities, including those related to the internal layout as well as cost and system effectiveness analyses. The results of this study can be implemented to design a PAV.

This study can contribute to the establishment of innovative PAV concepts that can alleviate today’s transportation problems.

This study compared the sizing results of PAVs with hybrid engines with those having IC engines.

The present study aims to extend the knowledge of intellectual capital disclosure (ICD) disclosure practices in the Italian Healthcare Organisations (HCOs) context. The ultimate goal of the study is to provide fresh insight into the possible explanatory factors that may drive the extent of ICD provided by Italian HCOs via the web.

The present study applies a manual content analysis on the websites of a sample of 158 HCOs to determine the level of voluntary ICD. A multivariate regression model is estimated to test the association between different variables – size, gender diversity in top governance positions, financial performance and indebtedness – and the level of ICD provided by sampled HCOs through their official websites.

Content analysis results reveal that – in the absence of mandatory requirements – Italian HCOs tend to use websites to disclose information about IC. Particular attention is devoted to Structural and Relational Capital. The statistical analysis pinpoints that size and indebtedness negatively influence the level of ICD. In contrast, the presence of a female General Manager (GM) positively drives ICD. Also, it is observed that Research and University HCOs and those located in the Italian Northern Regions are particularly prone to discharge accountability on IC through websites.

To the best of the authors’ knowledge, this is the first study that examines voluntary ICD practices through websites in the Italian HCOs' context. Also, since prior studies on IC in the healthcare context are mainly descriptive or normative, this is the first study examining the potential determinants of ICD provided by HCOs in terms of size, gender diversity in top governance positions, financial performance and indebtedness.

This study aims to analyse the extent and type of online intellectual capital (IC) disclosure provided by a sample of 117 Italian listed companies. The study also seeks to identify possible determinants of the extent and type of intellectual capital disclosure (ICD) practiced by Italian listed companies via the Web.

A content analysis is conducted to investigate the extent and type of online ICD provided through websites by a sample of 117 Italian listed companies. Two multivariate ordinary least squares regression models are applied to estimate the associations proposed in the research hypotheses.

The results show that Italian listed companies are exploiting the potential of websites to satisfy the information needs of investors and other stakeholders in relation to strategic IC-based corporate resources, with a particular focus on external capital. For the most part, ICD is conveyed in narrative form. Moreover, while the size and board independence positively affect both the extent and type of ICD, profitability exerts a positive influence only on the extent of online ICD.

Unlike previous ICD studies, which focussed on annual reports, this study explores an emerging and innovative tool to convey ICD, namely, the website. In today’s world, websites are considered to be the most expedient and effective tools for sharing and transmitting information, including IC; they are a vehicle that can shift the IC focus from the organisation to the wider ecosystem.

The purpose of this study is to empirically investigate the impact of intellectual capital (IC) on the financial performance of Islamic banks operating in the Gulf Cooperation Council (GCC) countries.

The study measures IC by the value added intellectual coefficient model. A regression analysis was used to assess the impact of IC on financial performance. The research sample consisted of Islamic banks operating in the GCC countries during the years 2011, 2012 and 2013. Data originated from the annual reports of Islamic banks.

The results support the thesis that IC has a positive impact on the financial performance of Islamic banks. Even though the average IC is lower than that reported in other studies, the positive effect on financial performance is obvious. The findings also show that human capital (HC) is higher than capital employed (CE) and structural capital (SC). The study reveals that SC has an insignificant impact on the financial performance of the Islamic banks compared to CE and HC.

The findings provide empirical evidence that IC affects the Islamic banks’ financial performance. It helps Islamic banks in the GCC countries to understand how to use their IC efficiently, especially SC as it is yet to be used efficiently. Also, the findings benefit the relevant authorities (e.g. legislators and central banks) who could use them to emphasise strategic policy reforms whenever required.

The current research adds to the empirical studies in the GCC countries as it views the region as a collective as opposed to individual countries. It also extends the IC and performance measurement literature of Islamic banks in the GCC countries. Moreover, the current study enriches the limited literature on IC in the context of Islamic banking.