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Purpose – Resource-based literature argues that firms’ export performances are influenced by a proper combination of their own resources and capabilities, allowing for sustainable competitive advantages. Because export activities are usually based on relationships between firms and foreign intermediaries, the adequate management of inter-organisational activities should also be analysed as a key determinant of export performance.

Originality – Our research adds to the existing literature by examining the role that management control systems (MCS) play in exploiting firms’ exporting capabilities and resources to optimise export performance.

Methodology – Utilising empirical data from Spanish exporters, an initial analysis of export efficiency was performed based on DEA and segmentation techniques. From efficiency scores, we tested causal relationships between MCS design and use and the optimisation of resources and capabilities when performing export activities.

Findings and practical implications – The main conclusions are that any type of control system was found to have a positive influence in export performance, but only social control establishes a difference in terms of efficiency. The results show that strong social controls increase firms’ efficiencies when managing export channels, allowing firms to achieve outputs superior to competitors with similar resources and capabilities. In addition, an efficiency ‘lifecycle’ was identified for relationships between exporters and intermediaries. A pro-cyclical effect was found among MCS design, use, and export efficiency; intense MCS were established in the first stages of a relationship but were relaxed after a certain level of efficiency was achieved, leading to a reduction of efficiency in the long term that compromised the continuity of relationships.

The fiscal outlay efficiency matters when the performance-based allocation of funds is made to state governments by the central government in a federal structure of an economy like India. Also the efficiency cannon of public expenditure is a key aspect in the field of public economics. Thus, a study to evaluate the efficiency in fiscal outlay of Indian states has been conducted.

The paper offers a three divisions–based paradigm under Network Data Envelopment Analysis framework to compare the performance of fiscal entities (say Indian state governments) in converting available fiscal resources into desired short-run and long-run growth and development objectives. The network efficiency score has been taken as a measure of the quality of fiscal outlay management that is trifurcated into divisional efficiencies representing budgeting process, fiscal outlay efficiency process and fiscal outlay effectiveness process.

It has been noticed that the states are under performing in achieving short-run growth targets and so the efficiency process division has been identified a major source of fiscal under performance. Suboptimum allocation of fiscal expenditure under various heads within the fiscal resources, as explained under budgeting process, is another major cause of fiscal under performance.

The study purposes a three divisions–based paradigm that takes into account efficiency of a state in (1) planning budget, (2) achieving short-run growth targets and (3) achieving long-run development targets. These three stages are named as budgeting process efficiency, fiscal outlay efficiency and fiscal outlay effectiveness, respectively. Therefore, a new paradigm called BEE paradigm is proposed to evaluate performance of fiscal entities in terms of fiscal outlay efficiency.

In existing literature on measuring efficiency of public expenditure, the public sector outputs have been made as function of fiscal expenditure as input treating the said outlay as an exogenous variable. In present context, the fiscal expenditure has been treated endogenous to the budgeting process. A high inefficiency on account of budgeting process supports this treatment too.

REM models infer abnormal levels of cashflow from operations (AbCFO), selling, general and admin (AbSGA) and production expenses (AbProd) are opportunistic, based on the supposition that engaging in real activities to meet current earnings targets (t) will negatively influence future performance (t+1). However, from a firm productivity perspective, cost reduction (via AbCFO, AbProd and AbSGA) is interpreted as an efficiency enhancing business strategy. This study therefore differentiates between (1) firms with ineffective management that have engaged in AbCFO, AbProd and AbSGA to achieve an optimal resource-cost mix to generate sales (REMF) and (2) firms with effective management that have not (OEF).

Using a sample of Korean listed firms over the 2000–2016 sample period, the study utilizes data envelopment analysis to capture the capability of management to generate sales from resources that are directly under their control. The study then compares the incremental effect that managerial decision making can have on real earnings management (REM) and future firm performance (period t+1 to t+5).

The study makes two important contributions. First, consistent with the efficiency/productivity literature, but contrary to seminal REM studies, empirical results shows that AbCFO, AbProd and AbSGA improve firm performance in period t and t+1 (to t+5), demonstrating “REM” is not opportunistic by default. Second, OEF have higher financial performance compared to REMF, in periods t and t+1.

The study therefore invokes resource-based theory and data envelopment analysis to integrate managerial effectiveness (human capital) into REM modelling. The study therefore extends the basic REM residual model.

This paper aims to assess two distinct aspects of performance in terms of technical (sales) efficiency and efficiency in market value generation of a sample of Greek metallurgical firms listed on the Athens Exchange by using data envelopment analysis (DEA).

Both aspects of performance are measured by employing the DEA BCC model, combined with bootstrap and generalized proportional distance function (GPDF). Statistical analysis is performed to investigate whether there is a positive link between the two examined performance dimensions.

Inefficiency is uncovered in both performance dimensions, but there is a lower level of performance in market value generation than in technical efficiency. Correlation analysis results do not point out positive links between performance measures for the sample firms.

The derived performance measures allow firm managers to set their own priorities and to seek out improvements along the two dimensions of performance; moreover, they may contribute to the reduction of information asymmetry among investors.

This paper is one of a few that investigate the link between DEA-based sales performance and performance in market value generation. It contributes methodologically through the adoption of fundamental analysis principles in estimating efficiency in the two performance dimensions and the development of a DEA efficiency model in the presence of negative data.

This paper aims to identify the relationship between efficiency and profitability by using data from Greek meat processing companies over the period 1994‐2007.

The relationship of efficiency and profitability is studied, by applying a new performance decomposition model. This method is capable of making valid and consistent inferences about the performance of a two‐stage production system, as well as the main sources of inefficiencies within a company.

A poor performance over the study period is observed in the sample companies. The low performance is mainly due to the low profitability. The results do not confirm the existence of a positive strong correlation between efficiency and profitability. The companies that have the capability of producing their products with the best practices are not always capable of generating the maximum profits.

The need for the improvement of performance has two aspects: first, it is a demand for the effective use of resources, and simultaneously, it is an urgent requirement for the generation of profits. According to the study findings, the long‐term survival of firms in our sample seems to require adopting mainly profitability‐enhancing strategies.

This paper provides one of the first evaluations of performance focusing on efficiency and profitability, by applying an innovative performance decomposition approach that has not yet been applied in Greek industries.

The purpose of this study is to propose a model to evaluate the performance of organizational units considering intellectual capital (IC) and employee loyalty approach applying principal component analysis and data envelopment analysis (PCA-DEA) method.

Organization units are considered as decision-making units, IC components including human capital (HC), structural capital (SC) and customer capital are inputs and employee loyalty is output. The principal component analysis was used to converts inputs and outputs into the independent variables. As a return to scale is variable, a modified envelopment input-oriented BCC model applied to obtain the efficiency of organization units. Also, all units of organization are ranked. Eventually, sensitivity analysis performed to show how input variables influence on output variable.

Operation, design and construction, production planning, internal affairs, quality control and security were recognized as efficient units. Also, units of operation, internal affairs and quality control ranked first to third, and the human resource unit earned the last rank. In addition, results of sensitivity analysis on input variables showed that the order of impact intensity is: customer capital, HC and SC, respectively.

Existence a framework for the development of human resource strategies and prioritization in the allocation of organizational resources to improve the performance of the organization considering human resources is vital. Most of the previous studies, just have examined the impact of IC on different dimensions of organizational performance. Meanwhile, evaluating the performance of IC with employee loyalty approach, using PCA-DEA simultaneously can evaluate and measure the impact of IC on the performance of the organization and its units regarding employee loyalty, which has a significant impact on improving the organization’s level of IC and human resource management.

The purpose of this paper is to develop a simultaneous measurement of overall performance and its two dimensions of efficiency and effectiveness in the case of Chinese construction industry.

A relational two-stage data envelopment analysis (DEA) method, which builds a relationship between component stages and can effectively identify inefficient stages, is developed and applied in order to measure overall performance, efficiency and effectiveness.

The construction industry of the Eastern region in China demonstrated the best results for overall performance, efficiency and effectiveness. The gaps between regions were primarily reflected in differences of pure technical efficiency. Performance indicators in the whole construction industry improved steadily and but could be improved more effectively. The coefficients of variation became smaller and more well-balanced across the whole industry.

Improving overall performance should focus on promoting construction efficiency at the project level and increasing management effectiveness at the company level. Sustainable development policies, which may include large investment and preferential policies, can narrow performance differences among the regions’ construction industries, and ultimately promote overall performance for the whole industry.

The relational two-stage DEA model is further developed in a variable returns-to-scale condition. The developed approach is generic and can provide a pathway for simultaneously measuring performance, efficiency and effectiveness and to recognise competitive advantages for promoting sustainable development.

As more women are now being appointed to senior and top management positions and invited to sit on boards of directors, they are now directly participating in strategic company decision-making. As female directors have been found to provide new ideas, increase company competitiveness, efficiency and performance and bring a greater number of external resources to a company than male directors, this paper aims to put female directors as a variable into the data envelopment analysis (DEA) and statistical models to explore the effect of female directors on operating performances. The DEA first quantified and measured the company efficiencies, after which the statistical model analyzed the correlations between the variables to specifically identify the impact of female decision makers on the operating efficiencies in state-owned and private enterprises.

A novel two-stage, meta-hybrid dynamic DEA was developed to explore Chinese cultural media company efficiencies under optimal input and output resource allocations, after which Tobit Regression was applied to determine the effect of female executives on these efficiencies.

From 2012 to 2016, the overall efficiencies in Chinese state-owned cultural media enterprises were better than in the private cultural media enterprises. The overall technology gaps (TGs) in the state-owned cultural media enterprises were better than in the private cultural media enterprises.

Previous research has tended to focus on the causal relationships between female senior executives and business performances; however, there have been few studies on the relationships between female executives and company performance from an efficiency perspective (optimal resource allocation). This paper, therefore, is the first to develop a novel two-stage, meta-hybrid dynamic DEA to examine Chinese cultural media enterprise efficiencies, and the first to apply Tobit Regression to assess the effect of female executives on those efficiencies.

Because no international accounting policy exists to mandate human capital (HC) information must be reported on financial reports, the association between workforce HC and firm performance/efficiency is not well-established. South Korea is a rare example with high HC reporting quality, as well as relatively high national productivity. On the other hand, in some developed countries (such as the UK), HC reporting quality and productivity is low. Moreover, there is an increasing propensity to offer employees non-standard contracts. Thus, because of a divergence in HC reporting quality internationally, the South Korean sample can provide valuable insights to countries with weak HC reporting quality about the association between contract quality and firm performance/efficiency.

Using a sample of Korean listed firms (2010–2015), pooled Ordinary Least Squares (OLS) regression analysis is conducted to show whether firms that offer employees higher levels of permanent, relative to temporary contacts, demonstrate higher firm performance/efficiency.

Firms that provide employees with increasing permanent (temporary) contracts experience higher (lower) performance/efficiency.

This research is limited due to sample selection. However, the sample represents the population of all firms that report contract type information in South Korea, a market with highly robust HC information reporting.

Because of data unavailability, a positive association firm-level performance/efficiency and permanent employment can only be made in a handful of countries. The study has policy implications and extends the non-financial reporting literature by addressing HC reporting limitations that exist in the mainstream accounting framework. Based on relative operational efficiency/performance, the study offers practical insights to management about the importance of staff retainment. Moreover, the authors also offer an anthropocentric perspective by inferring how low HC reporting quality can have a negative impact on society in Industry 4.0.

Although there exists a huge pile of literature on the performance of banking sector, a gap exists in developing countries like Pakistan where only limited work has been previously done to evaluate the performance of banking sector. In fact, most of the previous studies are based on traditional ratio analysis. Other studies not only have applied modern techniques of frontier approach like data envelopment analysis (DEA) but also are limited to the measurement and comparison of efficiency scores of various groups of banks. The purpose of this study is to find out the determinant of variation in the performance of banks.

This study computes various elements of performance, including efficiency and effectiveness, and finds out the factors of variation in each component of performance by using the Tobit regression.

Overall performance of Islamic banks was influenced positively by age, capitalization, size, non-markup expenditure, minimum capital requirement and gross domestic product (GDP) growth rate, whereas profitability, concentration and inflation had a negative relationship.

Islamic financial institutions are in their infancy stage. With the passage of time, one can find the exact trend in the performance and efficiency of these institutions.

This study guides the investors in the process of their decision-making.

Society can also take the advantage of the moral steps which are taken by these institutions.

This is an original study.