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The purpose of this study is twofold. First, this research estimates banks' efficiencies from the perspectives of resource utilization and investment after incorporating risk measures as an exogenous input in the investment-efficiency stage. Second, the current study examines the relationship between intellectual capital (IC) and banks' efficiencies.

First, this study uses a dynamic network data envelopment analysis approach in investigating the efficiencies of 24 Taiwanese banks in 2007–2018 from two perspectives. Second, this research utilizes various regression techniques, namely, ordinary least squares (OLS), robust least squares and truncated regression, to gauge the impact of IC on banks' efficiencies. Typically, IC is determined based on a monetary value-based measure and value-added intellectual coefficient (VAICTM).

Resource-utilization (investment) efficiencies were observed as 0.941 (0.964), thereby contributing to the mean overall efficiency of the sample banks at 0.952. However, the related efficiency changes decline over the sample period, thereby suggesting that the average banks' efficiencies hardly increase. Regression analyses show a significantly positive relationship between IC and banks' overall resource-utilization and investment efficiencies.

Overall, this study suggests that researchers should consider risks when estimating banks' efficiencies owing to their connection to banks' investment performance. From banks' dynamic two-stage efficiencies, this study demonstrated that investments in IC will bring improved future economic benefits.

Different from prior studies, this study improves banks' efficiency evaluation models by incorporating risk measures and assuming weighted periods for the 2007–2008 global financial crisis. Moreover, the use of monetary value-based measure of IC provides consistent results as the commonly-used VAICTM does.

Measuring the success of microfinance institutions (MFIs) using a single efficiency value and then exploring its determining factors might be misleading. Hence, this study decomposed the efficiency measure into three divisions, namely operational, financial sustainability and social outreach. Subsequently, the authors identified factors affecting these efficiencies in the second stage regression analysis.

This study employed the network data envelopment analysis approach to evaluate each division of efficiency of 90 MFIs from 2013 to 2018 and used second-stage regression techniques (Tobit and Truncated) to examine the effect of institutional factors.

The authors’ efficiency analysis revealed that financial sustainability and social outreach were responsible for the low overall efficiency. The second stage analysis revealed the negative influence of institutional factors such as efficiency wage (particularly among small MFIs) on financial sustainability, social outreach and overall efficiencies. Staff turnover reduced operational, financial and overall efficiencies, particularly for large MFIs. The presence of female board members and staff improved the efficiency of MFIs, thus highlighting the pivotal role of women in the success of MFIs. Besides, the effects of regional location of MFIs, regulation and legal status on efficiencies were further discussed.

The study has uniquely evaluated three different types of efficiency in MFIs and employed conventional techniques for the second-stage regression to identify the determinants of efficiency. The findings will enable managers to make appropriate decisions to enhance their organisational efficiency.

Uncontrollable brain drain (employees’ turnover) has been found to hamper humanitarian and sustainable objectives of socially oriented organizations. Hence, this study aims to explore the roles of gender and organizational-level factors on the rate of employees’ turnover in microfinance institutions (MFIs).

The study used an unbalanced panel data of 235 MFIs spanning the period 2010–2019. Based on the availability of the required data set on the World Bank catalogue (in collaboration with Microfinance Information Exchange-MIX Market), this study covers four South Asian countries, namely, Bangladesh, India, Pakistan and Sri Lanka. Then, the authors analyzed the data using the conventional panel data regression techniques (e.g. fixed effects model and random effects model).

The regression results revealed that women leaders (board members) could significantly reduce the employee turnover rate of MFIs. Although the efficiency wage hypothesis is supported in this study, it depends on the profit orientation of the MFIs. This study also confirmed that financial sustainability and donations have helped MFIs to reduce their employees’ turnover, which reiterates the image and brand value effect of MFIs. Moreover, the overall gender development and legal status (e.g. Bank and Non-Bank Financial Institutions) have also been found to have an effect on employees’ turnover based on the sub-sample analysis.

To the best of the authors’ knowledge, the study is among the first to investigate the impact of gender and institutional characteristics on employees’ turnover based on a large and recent panel dataset from selected South Asian countries.

The main purpose of this study is to evaluate the performance of takaful operators in Malaysia.

The study applied the data envelopment analysis (DEA) technique and the ratio analysis, using secondary data available on Malaysian Takaful operators’ annual reports. The study period for the analysis ranged from 2013 to 2016.

Based on both analyses, the performance of Takaful operators was affected due to the additional cost imposed by the goods and services tax (GST) implementation. Results showed a decline in average technical efficiency for takaful operators upon GST implementation.

The data were taken from the annual audited reports for selected firms that were available on the firm’s website only, which was limited. The data were taken till 2016, even though the GST is omitted from Malaysia on 1 June 2018. This study has applied Ratio analysis and DEA constant returns to scale (CRS) technique; the future study may adopt both DEA CRS and DEA carrying returns to scale model to evaluate along with other methods to identify the specific factors.

These findings may associate policymakers in identifying the shortcomings of GST or new tax implementation in a new and emerging industry. So, the policymakers and central banks may adopt necessary initiatives to support the industry. Because the Malaysian government is trying to push the takaful industry along with Islamic banking and finance in the competitive market, takaful operators may be exempted from the current sales and service tax (SST). In addition, takaful operators may use these findings to enhance their operational activities efficiently to improve performance. This paper might help the researchers and practitioners to learn the impact of GST. Even though GST seems not relevant anymore as the government has replaced it with SST, the trick is still the same as it is a kind of tax or costs incurred by the Takaful operators in running their business. Takaful managers may identify their efficient level in managerial aspects as well as the optimal scale of resources by the findings of this study.

To the best of the authors’ knowledge, this research is original in terms of data that is gathered directly from the annual report of the company during the GST period.

Data represents a critical resource that enables construction companies’ success; thus, its management is very important. The purpose of this study is to assess the benefits of construction data risks management (DRM) in the construction industry (CI).

This study adopted a quantitative method and collected data from various South African construction professionals with the aid of an e-questionnaire. These professionals involve electrical engineers, quantity surveyors, architects and mechanical, as well as civil engineers involved under a firm, or organisation within the province of Gauteng, South Africa. Standard deviation, mean item score, non-parametric Kruskal–Wallis H test and exploratory factor analysis were used to analyse the retrieved data.

The findings revealed that DRM enhances project and company data availability, promotes confidentiality and enhances integrity, which are the primary benefits of DRM that enable the success of project delivery.

The research was carried out only in the province of Gauteng due to COVID-19 travel limitations.

The construction companies will have their data permanently in their possession and no interruption will be seen due to data unavailability, which, in turn, will allow long-term and overall pleasant project outcomes.

This study seeks to address the benefits of DRM in the CI to give additional knowledge on risk management within the built environment to promote success in every project.

The main purpose of this paper is presenting Thin Plates Spline-based Differential Quadrature (TPS-DQM) as a meshless numerical method to solve the steady and transient groundwater equation in complex geometry.

The computational nodes are randomly distributed in domain, and the governing equations of groundwater flow are solved, relying on the capability of present model for solving the partial differential equations (PDEs) in irregular domains. To show the accuracy of the proposed model, several seepage problems in both homogenous and non-homogenous soils are solved, and the results are compared with those existing analytical solution and well-known finite element-based software SEEP/W.

The results indicate that the present meshless method is capable of simulating steady-state and unsteady seepage problems, especially in complex geometry and it provides sufficient accuracy and reliability, despite the low computational effort and no need for additional parameters like shape factor.

The main advantage of the method is its meshless characteristic, which does not require structured grid generation and able to solve governing equation in arbitrary geometry.

In this paper, a lifetime estimation model for the solder joint is proposed which is capable of considering both severe and running mechanical shocks which is the real case in electric converters in the automotive and aerospace applications. This paper aims to asses the reliability of the solder joint under mixed exposure of mechanical loads.

Mechanical failure process may put at risk the perfect performance of any kinds of electronic systems regardless of the applications they are prepared for. Observation of solder joint health in an electronic assembly under simultaneous exposure of severe and running shocks is an open problem. Three commonly used soldering compositions are considered while the electronic assembly is exposed to three well-known driving cycles.

The results show that the best performance is achieved using SAC405 soldering alloy in comparison with Sn63Pb37 and SAC387 solder alloy. Consideration of mixed exposure to the mechanical loads leads to much more accurate lifetime estimation of the solder joint in the electronic assemblies.

The originality of the paper is confirmed.

This paper aims to identify the role of organizational and individual factors in predicting the research performance of academics when job crafting is a mediator variable and organizational culture is a moderating variable.

This study was conducted by collecting responses from academics at five Malaysian research-based universities. The sample size was 273. Standard questionnaires were used to collect the data. The data were analyzed using partial least squares structural equation modeling.

The most significant predictors of research performance were organizational culture, individual effort and professional development, whereby job crafting was most optimally predicted by work engagement and transformational leadership. While organizational culture moderated the relationship between transformational leadership and research performance, the mediating role of job crafting was insignificant between work engagement and research performance.

The findings have important implications for human resource development practitioners (HRD) in terms of improving overall academic research performance. Practical interventions are suggested to assist academics in enhancing their performance. This study highlights how academic performance can be managed more effectively.

The findings extend the HRD literature in higher education and offer a framework that enhances the understanding of the organizational and individual factors that influence academics' research performance within a specific context of research universities in a non-Western context.