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This study aims at examining the effect of total quality management (TQM) practices on the financial performance ISO 9001:2008 certified manufacturing companies in Ethiopia with a mediating role of operational performance.

A cross-sectional survey research was conducted to meet the purpose. Data used for the study were solely primary data and were collected from the top and middle-level managers of different departments and senior experts working under the production/operation and quality management units of the target organizations. Data were obtained from 302 participants working in 73 companies using a self-administered questionnaire. Structural equation modelling (SEM) technique was applied to test the hypotheses positing the structural link between TQM practices, operational performance and financial performance.

The findings show that TQM practices had a significant direct and positive effect on both operational performance and financial performance and that operational performance significantly affects financial performance. The bootstrapping output of the mediation analysis also established that operational performance partially mediates the causal link between TQM practices and financial performance.

The empirical evidence provided by the present study provides helpful insights and guidance to managers to make a good deal of investment in maintaining enhanced performance outcomes under the operations stream that eventually would lead to better financial outcome.

Being one of the first attempts to empirically examine the structural linkages among TQM practices, operational performance and financial performance in Ethiopian manufacturing organizations, this paper provides strategic insights on the importance of implementing TQM practices in a holistic manner for the achievement of better performance outcomes.

The study attempts to examine the bias-adjusted financial and operational efficiency estimates of microfinance institutions (MFIs) operating in the Eastern Europe and Central Asia (ECA) region during the financial year 2017–2018. In addition, the study also identifies the responsible factors determining the financial and operational performances of MFIs operating in the ECA region.

The study employs two-stage bootstrap data envelopment analysis (DEA). In the first stage, the authors incorporate the bootstrap procedure in the DEA framework as suggested by Simar and Wilson (2000) to estimate the bias-corrected efficiency scores of 67 sample MFIs. In order to identify the drivers of efficiency level, the study deploys the bootstrap truncated regression model following the Simar and Wilson (2007) guidelines in the second stage of analysis.

The authors note from the empirical results that MFIs operating in the ECA region are relatively more financially efficient (0.588) than socially efficient (0.496). However, none of the MFIs were found to be operating at best-practice frontier while considering the bias-adjusted efficiency estimates. Further, the results of second stage of analysis confirm that corporate governance, that is, board size has positive and statistically significant impact on MFIs’ performances. In addition, the bad credit quality deteriorates both financial revenue and operational efficiency. Moreover, the MFIs’ size, profit status and debt-to-equity ratio were also found to be statistically significant to determine the operational and financial efficiency of MFIs in the ECA region.

The study provides the robust efficiency estimates and factors responsible to determine the financial and operational efficiency of MFIs operating in the ECA region. Further, the empirical results of the study provide the inputs and further direction to the policymakers, regulators, practitioners and managers in framing the policy and optimal operating strategies for ECA MFIs industry.

The study extends the DEA analysis by incorporating the bootstrap procedure in DEA model to estimate the bias-adjusted efficiency scores which are more reliable and robust. In addition, bootstrap truncated regression has been applied to identify the drivers of efficiency. Moreover, in the literature there is no single study which has deployed the double bootstrap DEA framework to examine the financial and operational efficiency estimates and its drivers.

This study uncovers how government interventions, in terms of stringency and support, shape coronavirus disease 2019's (COVID-19) detrimental impact on organizations' performance. Specifically, this paper studies whether stringency and support play complementary or substitutive roles in lowering COVID-19's impact on organizations' performance.

The authors gathered primary data from USA manufacturing companies and combined this with secondary data from the Oxford COVID-19 Government Response Tracker (OxCGRT) to test the proposed model with structural equation modeling (SEM).

The results show that the stringency approach increases the detrimental impact on both operational and financial performance, while economic support (to households) and fiscal spending (to organizations) work differently on lowering the impacts of COVID-19. Further, these combinative effects only influence the firm's operational performance, albeit in opposite directions.

This study advances the knowledge of government interventions by examining stringency and support's direct and interaction effects on firm performance as a result of the COVID-19 pandemic. The findings contribute to the literature by uncovering the unique roles of both supportive policies, thus differentiating economic support (to individuals/households) from fiscal spending (to organizations) and providing important academic, managerial and policy insights into how government should best initiate and blend stringency and support policies during the COVID-19 pandemic.

The purpose of this paper is to scrutinize the performance effects of supply chain risk management (SCRM). Besides financial performance, two aspects of operational performance are examined: operational efficiency and flexibility. Moreover, the authors explore the moderating role of supplier integration in the relationship between SCRM and operational performance.

A survey-based methodology was adopted. Based on the data from an international survey, this study applied the structural equation modeling and latent moderated structural equations approach to test the hypotheses.

The results indicate that SCRM positively influences both operational efficiency and flexibility, and has an indirect effect on financial performance. In addition, supplier integration enhances the impact of SCRM on operational flexibility, but does not moderate the relationship between SCRM and operational efficiency.

This study extends the existing literature by providing a comprehensive analysis of the performance effects of SCRM. It also provides managerial insights on both risk management and supplier integration.

The purpose of this paper is to develop a resource-based framework to explain the relationship between high-performance work system (HPWS) and organizational performance (OP) and the moderating role of performance measures.

The paper takes a meta-analysis approach, and tests hypotheses against data of 47,741 firms and establishments in 192 studies published by June 2016.

The paper finds that HPWS has a greater positive effect on operational than financial performance. Moreover, HPWS influences operational performance more strongly in developing than advanced countries and at the firm level than the establishment level, but such variations are not evident in the effect of HPWS on financial performance.

The paper suggests that managers should treat human resource management (HRM) practices as a system, and develop HPWS for operational gains which in turn lead to financial gains. Managers need to take different approaches to develop HPWS for high performance depending on the country of origin and the level of organization.

Based on studies of individual HRM practices, previous meta-analytical studies suggested that the HPWS-OP relationship is invariant across performance measures. Taking HRM practices as integral components of HPWS, this paper extends the resource-based theory to demonstrate that performance measures interact with country of origin and level of analysis to moderate the HPWS-OP relationship.

This study aims to provide a meaningful comparison of airports’ performance and better understand the differences observed in the analysed airport performance by presenting a model to analyse the relationship between operational and financial performance and airport characteristics.

This study uses a quantitative analysis approach. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and entropy weight were utilised to analyse 17 airports in three Airports Council International regions: Asia, Europe and North America. Through operational and financial factors, these sample airports identified the most efficiently operated airports from 2016 to 2019.

Overall, Asian airports were superior in operational and financial efficiency. Unlike operating performance, the sample airport’s financial and total performance results show a similar trend. There were no noticeable changes in operational factors. Therefore, differences in financial variables for each airport may affect the total performance.

This study provides insightful implications for airport policymakers to establish a standardised information disclosure foundation for consistent analysis and encourage airports to provide this information.

The adoption of Earnings Before Interest, Taxes, Depreciation, and Amortisation (EBITDA) to debt ratio and EBITDA per passenger, which had previously been underutilised in the previous study as financial factors, demonstrated differences between airports for airport stakeholders. In addition, the study presented a model that facilitates producing more intuitive results using TOPSIS, which was relatively underutilised compared to other methodologies such as date envelopment analysis.

Ports handle a significant portion of international cargo, so the performance of ports plays a major role in the economic development of a country. This paper aims to study how port performance depends on various interdependent factors and how it requires a holistic approach, which accounts for all the necessary criteria that contribute to the overall efficiency and performance.

An integrated fuzzy DEMATEL-TOPSIS approach with an objective to evaluate the operational capability and financial performance of the ports is proposed. A case study is presented with an analysis of the major South Indian ports to assess port operational performance and evaluate various financial ratios to assess financial performance.

Through a review of the literature and based on the inputs from experts, six criteria affecting the operational performance and six financial criteria were identified. The debt coverage ratios turned out to be the most important, while the liquidity ratios were the least important. The six operational criteria have almost similar importance. The final results indicate a consistent overall performance by the Ennore Port, except during one financial year.

The proposed solution approach helps to identify and concentrate on the criteria that affect port performance. It will also help to evaluate and understand the dynamics involved in the performance of ports.

This work highlights the key measurable operational and financial criteria that affect the efficiency of ports. The integrated fuzzy DEMATEL-TOPSIS approach provides a better way to evaluate and benchmark port performance.

The purpose of this paper is to identify the critical success factors of TQM implementation, to evaluate their impact on the primary measures as expressed by the operational performance and the secondary measures as expressed by the organizational performance, and to find out the effect of the operational performance on the organizational performance of small and medium‐sized enterprises (SMEs) in the Qatari industrial sector using the structured equation modeling (SEM) approach.

A questionnaire was designed and distributed to 297 SMEs in the Qatari industrial sector. Of the 297 questionnaires posted, a total of 139 were returned and were used to test the theoretical model. In particular, hypotheses were developed to evaluate the impact of TQM implementation on the operational and organizational performance of the SMEs.

The empirical analysis demonstrates several key findings: data analysis reveals that there is a substantial positive effect of the TQM implementation on both the operational and the organizational performance. The findings confirm the significant relationship between operational and organizational performances of the SMEs. Overall, the results showed the central role of the strategic factors in the successful implementation of the TQM programs within the SMEs.

The research is subject to the normal limitations of survey research. The study is using perceptual data provided by production managers or quality managers which may not provide clear measures of performance. However, this can be overcome using multiple methods to collect data in future studies. Interestingly, the findings here may be generalisable outside Qatar, i.e. a similar country to Qatar such as the GCC countries.

Qatari SMEs should consider TQM as an innovative tool for improving operational and organizational performance in today's dynamic manufacturing environment. The findings suggest the notion that the TQM critical success factors (CSFs) should be implemented holistically rather than on a piecemeal basis to get the full potential of the TQM. Moreover, the study emphasizes the need to link operational performance to organizational performance to achieve the success of TQM implementation.

The study integrates the CSFs of TQM practices, i.e. strategic, tactical and operational factors, with operational and organizational performances as related drivers of the effectiveness and success of TQM practices in the SMEs. Very few studies have been performed to investigate and understand this issue. Therefore, the research can make a useful contribution.

The purpose of this paper is to contribute to the ongoing debate about the effectiveness of lean practices in the service sector.

This paper examines the impact of lean service on firm operational and financial performance. Exploratory factor analysis is used to reduce the data and identify the underlying dimensions of lean service, and partial least squares structural equation modelling is used to test the developed model.

The results indicate that the social bundles of lean service had an independent positive impact on firm operational and financial performance. Furthermore, while the technical bundles had an independent positive effect on only the operational performance, they interacted with the social bundles to improve both the operational and financial performance. The findings suggest that service managers must follow a systematic approach when implementing lean service practices without focusing on one side of the system at the expense of the other.

The paper highlights the importance of implementing lean service as a socio-technical system (STS) if service firms are to achieve the best possible benefits from their implementation. The motivation factor (social side) and the customer value factor (technical side) are capable of improving all operational performance dimensions and profit margin even if implemented alone. Therefore, service managers with limited resources are encouraged to start lean service implementation with practices within these factors. However, they can also expect improved operational and financial performance from implementing other factors as they positively interact to further improve performance.

Viewing lean service as a STS, this paper incorporates a larger set of lean practices than previous studies and demonstrates empirically their capability of improving service firms’ operational and financial performance. It contributes significantly to the emerging literature on lean service by empirically testing the mechanism through which lean service affects firm performance.

The increased concerns for the environment have led organizations, businesses and nations to act environmentally friendly. This has also pressurized the banking sector to adopt green practices. However, there is a dearth of studies related to green banking (G-banking) adoption practices (GBAP) on banking performance. Hence, by considering the resource-based view theory, this study aims to examine the impact of GBAP on banking performance, i.e. financial, operational and environmental performance.

The data was acquired from banking personnel in Pakistan using a five-point Likert scale questionnaire and a non-probability purposive selection technique. In total, 400 responses were gathered, on which data screening was performed to detect and delete outliers. On a useful sample of 360, partial least square-structural equation modeling was used to validate the hypotheses.

The findings revealed that GBAP positively affects the environmental, operational and financial performance of the banks. The findings further revealed that GBAP largely affects environmental performance followed by operational performance and financial performance, respectively.

The study findings offer various insights to the policymakers and the banking sector to better implement G-banking practices in improving banking performance.

To the best of the authors’ knowledge, this is one of the first studies to look at the effect of GBAP on key performance outcomes, i.e. financial and operational performance. This study also verifies the use of resource-based perspective theory in the context of G-banking.