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This study analyses the effects of firm efficiency on firm performance and how controlling shareholders moderate the link between the two variables.

This study employs data envelopment analysis to estimate firm efficiency and the panel regression method to assess the hypothesised relationships among 1,295 firm-year observations of publicly listed firms in Malaysia from 2015 to 2019.

The results indicate that firm efficiency (technical efficiency, pure technical efficiency and scale efficiency) has mixed relationships with firm performance (return on assets, market-to-book ratio and operating cash flows), all of which are being moderated by controlling shareholdings.

This study highlights the importance of assessing firm efficiency as the key success factor for improving firm performance. Industrial managers should manage efficiently their resources or operating costs in achieving their corporate financial goals. Moreover, this study notes the presence of controlling shareholders, who can be either self-interested or company goal aligned.

This study suggests becoming efficient in transforming inputs into outputs is a prerequisite before investigating accrual-based and cash-based firm performance measures, and the presence of controlling shareholders matters in these regards.

First, this study assesses firms’ efficiency of transforming intellectual capital (IC) components into firm performance. Second, this study examines (1) cubic S-curve relationship between board independence and IC efficiency and (2) how firm size moderates the cubic S-curve relationship.

This study employs a stochastic nonparametric envelopment of data (StoNED) framework to estimate IC efficiency, which is derived from the estimation process of transforming structural, relational and human capitals into accounting- and market-based performance indicators. This study conducts regression analyses on 1,104 firm-year observations of Taiwanese semiconductor firms over the period of 2011–2018.

StoNED results suggest that sample firms' IC efficiency can be relatively improved by approximately 80%. Regression results indicate that a cubic S-curve relationship between board independence and IC efficiency exists, and firm size moderates the nonlinear effects.

Overall, this study highlights the importance of examining the nonlinear effect of board independence on IC efficiency from the perspective of agency theory, and the moderating effect from firm size, which may suggest availability of resources from the resource-based view of the firm.

This study contributes to the literature through the innovative application of an efficiency-based tool for evaluating IC efficiency. The cubic S-curve relationship between board independence and IC efficiency also points to the policy concerning the appropriate number of independent directors on board.

Although intellectual capital (IC) has been proven to be value-added for companies, the drivers of IC performance remain an under-researched area. From the perspective of corporate governance, the purpose of this paper is to examine how controlling the ownership of shareholders would influence IC performance.

This study utilized value-added intellectual capital (VAIC^TM) and its subcomponents, namely human capital, structural capital and capital employed efficiencies, to proxy for IC performance and regression analyses to assess the association between controlling the ownership of shareholders and the IC performance of Taiwanese listed semiconductor firms for the years 2009–2017.

Results show that controlling the ownership of shareholders is nonlinearly related to IC performance. Specifically, controlling their ownership positively affects the level of IC performance up to an optimal point before it turns to be a negative relationship thereafter.

The results of this study can help policy makers and other stakeholders understand the role of controlling shareholders in determining IC performance. The findings of this study suggest a nonlinear relationship between controlling the ownership of shareholders and IC.

This study provides an extended perspective in studies related to the determinants of IC by considering the resources provided by controlling shareholders. The definitions of controlling interests and IC applied in this study are compared and aligned with those found in the International Financial Reporting Standard 10 – Consolidated Financial Statements and the International Integrated Reporting Council, respectively.

This study examines the effect of value-added (VA) intellectual capital on business performance from the perspective of productive efficiency, which is derived from its main contributors, namely, profitability and marketability efficiencies in two stages.

First, this study applies a dynamic network slacks-based measure in a data envelopment analysis (DEA) approach to estimate productive efficiency and its components of 766 Taiwan listed electronics companies over the period of 2010–2018. Second, this study performs regression analyses of the association between intellectual capital (IC), which is proxied by VA intellectual coefficient (VAIC^TM) and estimated DEA efficiency scores through various regression techniques.

Empirical evidence shows a significantly positive association between VAIC^TM and productive efficiency. This study finds the same result from the IC components after splitting VAIC^TM into (1) IC efficiency, which comprises human capital efficiency (HCE) and structural capital efficiency and (2) capital employed efficiency. Further examination reveals that HCE is the sole main contributor of the productive efficiency, and profitability and marketability efficiencies of a company.

The findings of this study highlight the need to discuss the values of intellectual coefficient (IC) from the perspective of productive efficiency for better comprehensiveness.

Although previous studies have shown that IC is a contributor of business performance, this study further zooms in VAIC and examines its effect on the efficiency of a company in transforming its inputs into outputs.

Consensus on how intellectual capital (IC) affects corporate performance is limited because of various measurement models of IC and corporate performance. This study thus aims to further the debate on the relationship between IC and corporate performance from the perspectives of nonlinearity, the capital values of IC and the use of a holistic measure of corporate performance.

Using 1,395 firm-year observations derived from Vietnamese listed companies from 2010 to 2018, this study focuses on (1) presenting an IC model benchmarked on value-creating expenses; (2) using a directional distance function (DDF)-based stochastic nonparametric envelopment of data (StoNED) framework to scrutinize multiple performance indicators and the capital values of people, structures and relationships simultaneously; and (3) adopting firm-year cluster-robust regressions to analyze the nonlinear association between IC and corporate performance empirically with an appropriate U test.

Results suggest that human capital (HC), structural capital (SC) and relational capital (RC) are the main contributors of high corporate efficiency, whereas only HC and RC contribute to high corporate profitability. These results are absent when this study employs the conventional data envelopment analysis (DEA), which is also a multidimensional framework, as the dependent variable. More importantly, IC and its components can improve corporate performance, namely, both corporate efficiency and corporate profitability up to a critical point, after which the effects would drop.

Overall, this study highlights not only the need to invest in IC but also its associated costs. That is, policymakers also need to note the marginal cost of investing in IC, which may in the end outweigh the benefits from IC.

This study extends IC-related studies by investigating the nonlinear relationship between IC and corporate performance. Moreover, the value of this study also lies in the multidimensional DDF-based StoNED framework.

This study aims to examine the effect of knowledge management on firm innovative performance and the moderating effect of transformational leadership in the relationship between knowledge management and firm innovative performance.

In total, 200 managers of participating Malaysian public listed service companies responded to a self-report set of the survey questionnaire. Partial least squares-structural equation modelling technique is used to estimate the main effects of knowledge management, particularly its infrastructures and processes, on firm innovative performance and the moderating effects of transformational leadership on the relationship.

Knowledge management infrastructures and knowledge management processes both have statistically significant and positive effects on firm innovative performance. In addition, transformational leadership significantly and negatively moderates the relationships.

The findings of this study can be a reference for the Malaysian public listed service companies to understand how and why managing well knowledge management infrastructures and processes can improve firm innovative performance. Moreover, this study highlights the role of transformational leaders in the context of knowledge management.

This study brings about managerial viewpoints of the relationship between knowledge management and firm innovative performance, with the moderating role of transformational leadership.

This study aims to investigate the association between intellectual capital (IC) and bank efficiency of Taiwanese bank branches.

This study manually collects sample data from 107 non-public financial reports of the bank branches of Taiwan Business Bank Company Limited. As this study concerns bank branches, this study uses questionnaires related to IC to measure the implementation of IC at branch level. This study employs data envelopment analysis (DEA) models (BCC, EBM and BootBCC) to identify bank branches' efficiency. This study uses partial least square-based structural equation modeling analysis to assess the impact of IC and bank efficiency.

Result reveals that relational capital (RC) significantly and negatively impacts bank efficiency. Findings also imply that human capital (HC) and structural capital (SC) do not contribute to bank efficiency in Taiwan.

Spending effort in building relationships with customers diverts banks' resources. More inputs that are used may not be converted to outputs immediately. Bank branches should focus on enhancing their service quality to attract customers to use the facilities provided by branches.

To the best of the authors' knowledge, this empirical study is the first to examine the association between IC and bank branches' efficiency in Taiwan by integrating primary and secondary data. For IC components, this study conducts a survey by designing the questionnaires related to IC to assess the implementation of IC at bank branches in Taiwan. In terms of efficiency, this study uses bank financial data and DEA models to identify bank branches' efficiency.

First, this study assesses the link between research and development (R&D) expenses and firm efficiency. Second, this study explores how family control moderates the link between the two.

This study uses two measures of time-based firm efficiency, namely, a window slacks-based measure (WSBM) and a window epsilon-based measure (WEBM) of data envelopment analysis (DEA). Then, 216 firm-year observations are analyzed in the Taiwanese cultural and creative industries from 2005 to 2017.

This study finds that R&D expenses significantly worsen firm efficiency, and that family control positively moderates this effect. A further test separating the sample into family-controlled and nonfamily-controlled firms indicates that R&D expenses negatively affect the efficiency of nonfamily-controlled firms but positively affect that of family-controlled firms.

The existing literature has examined the link between R&D expenses and corporate performance. However, the process by which R&D expenses affect corporate performance from a production perspective remains unknown.

Overall, this study provides insights for policymakers to scrutinize resource management and R&D expenses from the production and resource-based perspectives.

This study aims to examine the relationships among International Financial Reporting Standards (IFRS) adoption, earnings management, and corporate efficiency.

First, the authors employ the epsilon-based measure (EBM) of the data envelopment analysis to measure the corporate performance of the Taiwanese electronics industry from 2011 to 2014. Second, the authors regress the IFRS adoption and earnings management on corporate efficiency.

The findings show that the corporate efficiency deteriorated after IFRS adoption. Although the regression analysis shows that the relationship between earnings management and corporate efficiency is significantly positive, the authors find that IFRS adoption is effective in unveiling earnings management. Moreover, IFRS adoption moderates the impact earnings management and corporate efficiency.

This study provides reference for decision-makers in the application of accounting principles and in the understanding of the IFRS impact adoption.

IFRS adoption can either facilitate or limit the earnings management that would affect corporate efficiency significantly and help the electronics industry as well as investors to know the changes in accounting principles and their effects on corporate efficiency.

The authors use the EBM of efficiency model to measure corporate efficiency and employ the modified Jones model to measure earnings management.

This study analyses the way various components of intellectual capital (IC), namely, human capital (HC), structural capital (SC), relational capital (RC) and innovation capital (INNC), act as mediators in the relationship between managerial ability (MA) and a firm’s ability to achieve growth.

This study employs data envelopment analysis to quantify the MA of 825 Taiwanese listed electronics companies from 2017 to 2022. The proxies of firm growth are return on asset growth, operating income growth and total asset growth. This study then utilises a three-step mediation analysis methodology to examine the relationships between MA, IC and firm growth.

Findings indicate that HC, SC, RC and INNC mediate the link between MA and firm growth. This suggests that competent managers can capitalise on the potential benefits of these investments to achieve firm growth.

Competent managers can utilise different IC investments to grow the financial performance and strength of their businesses. Managers should continually scan, secure opportunities and adjust their investments in knowledge assets in accordance with the dynamic capabilities view. That is, managers, in general, and operations managers, in particular, can implement guidelines that prioritise IC investments in the future to expedite firms’ development.

This study extends the existing frameworks that study investment variables as mediators between MA and firm outcomes. Most particularly, this study adopts four components of IC for measurement. Moreover, firm performance is measured using dynamic growth indicators rather than static measures.