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This paper aims to determine pathways leading to enterprise profitability during the COVID-19 pandemic in the Philippines.

The study (N = 272) was participated by 228 micro, small and medium enterprises (MSMEs) and 44 large enterprises. Configurational analysis using the fuzzy-set qualitative comparative analysis was used in modelling combinations of firm characteristics and organizational resilience attributes that could lead to enterprise profitability.

Using the Benchmark Resilience Tool of Resilient Organisations, the study showed that three main attributes of organizational resilience (leadership and culture, networks and relationships, and readiness to change) played significant roles in enterprise profitability. Other conditions of varying influence on profitability included costs, sales, number of employees and the number of years in operations of an enterprise. For MSMEs, profitability can be achieved if all resilience attributes are present, while for large enterprises, the absence of some resilience attributes can be compensated by other attributes such as low decline in sales, low employee reduction, and more years in operation.

While the COVID-19 pandemic’s impacts have been far-reaching, the MSMEs and large enterprises are more likely to be profitable if they have used the three organizational resilience attributes. Moreover, these attributes do not only improve firm profitability and the overall enterprise performance during the present pandemic but also prepare them for future shocks.

To the best of the authors’ knowledge, modelling antecedents of enterprise profitability using configurational analysis is the first in the Philippines.

The paper analyzes the effects of the capital structure on company performance (return on assets). The analysis is conducted in a large sample of high-tech manufacturing and service companies in the transition economy (Russian Federation). In addition to the aggregated analysis, separate investigations are conducted to scrutinize the impact of company age, size and location factors (the effects of agglomerations). This research postulates the existence and variability of the optimal capital structure and its dependence on economic crisis.

We utilized a large sample that includes 1,826 enterprises over the period from 2013 to 2017. The estimation was performed using the panel-corrected standard error estimation technique (Prais–Winsten regression) to account for the panel nature and distributional properties of our data. The existence of the optimal capital structure was assessed based on a curvilinear (quadratic) function.

The results are consistent with the Static Trade-off Theory and show that this theory is applicable to countries with transition economy. They demonstrate that effective management of the capital structure can increase return on assets by 16–22%. The optimal share of borrowed capital is higher for small businesses compared to larger ones and for enterprises located in agglomerations compared to those located in other regions. A greater increase in profitability can be achieved by larger firm companies compared to smaller ones. High share of borrowed capital leads to negative profitability, i.e. to losses by enterprises. No significant differences in profitability growth were identified between young and mature enterprises. The optimal share of borrowed capital that maximizes return on assets is in the range of 0–21%.

Due to the SPARK policies, our access to the data has been limited to a five-year window, which imposed certain limitations on the choice of econometric methods we could have employed and somewhat limited our ability to contrast the effect of the crisis period with the period of stability. In this sense, although our results pertaining to the effect of the crisis could be treated as conservative, future research should consider extending the panel to include more years into consideration.

We identified significant differences between optimal capital structures and actual capital structures for high-tech enterprises. The contribution of this study is that the calculations were made for a country with a transition economy under crisis conditions. Countries with transition economies and developing countries tend to be characterized by a high level of interest rates on loans and a high proportion of borrowed capital in total assets. This poses difficulties for companies relying on borrowed capital to finance their operations. At the same time, our results demonstrate that in transition economies, enterprises in high-tech industries do have an optimal capital structure that allows maximizing firm performance. That is, Static Trade-off Theory is applicable to transition economies characterized by high interest rates on loans.

The novelty of this study lies in the detailed analysis of high-tech industries in Russian Federation. This analysis makes use of sophisticated econometric techniques for the first time in this context.

The purpose of this paper is to examine the roles of earnings and book value (BV) in equity valuation.

The authors apply model’s explanatory power to analyze the roles of accounting data and test the hypotheses empirically with a sample of Chinese listed companies between 2004 and 2010.

The authors find that impact of accounting data on equity value is also dependent on profitability, but the behavior is non-monotonic. In the intermediate-profitability range, explanatory power of both earnings capitalization model and balance sheet model reach the peak, there are no significant differences between them. In the low-profitability range (small or negative profitability), explanatory power of balance sheet model is larger than earnings capitalization model. In the high-profitability range, explanatory power of balance sheet model is less than earnings capitalization model.

The results support that the role of BV is more stable in equity valuation. Moreover, this outcome provides reference for improving existing valuation model and setting accounting standard, and provides some empirical evidence for the practical application of BV in equity valuation.

Existing studies treat earnings as main variable of equity valuation, and BV is only added as a supplement. This paper compares roles of accounting earnings and BV in equity valuation, especially investigates the influence of BV in equity valuation, and fills up the deficiency in the related literature.

This paper aims to investigate the effect of firm-specific determinants on the entrepreneurial success (measured through the objective financial performance) of the Czech food processing firms over 2003-2014 and with the main particular focus on capital structure and productivity as the tough challenges of the firms in transition and emerging economies.

Determinants of profitability are tested econometrically, as for the estimation technique, both-way fixed effects controlling for variety over the time and across enterprises were applied. The collected micro-panel data set consists of 10,509 observations and includes 1,804 firms. Estimated regression models with fixed effects are used to quantify the determinants of the financial performance, operationalized through three key performance indicators – price–cost margin, return on assets and return on equity.

Estimated econometric models supported hypothesis assuming a positive relationship between the labour productivity and profitability. In line with the assumptions based on the development of the Czech food market, high leverage of firms led to the decrease of profitability, which can be explained by the high financial distress costs and worsened market position of firms in the competitive environment. Ageing of firms and firm size were associated with the increase of profitability indicators.

The findings of the presented research are important for investors considering agribusiness as a part of their investment portfolios and for policymakers to enhance the economic efficiency of the food industry through regulations and public support, and particularly, from the firm management viewpoint, e.g. to pay attention to the debt policy due to the negative impact of high indebtedness on firm profitability, and to the productivity factors, which proved to be important drivers of entrepreneurial success.

Although the firm-specific factors responsible for firm performance have already been studied, the food processing industry has received limited interest from the empirical analysts, and the results are not always unequivocal. This study is expected to contribute to the literature on this subject, both empirically and methodologically, as to the best of the authors’ knowledge, no study has been encountered yet where the factors determining the profitability of the Czech food processing industry have been the focus. With regards to the collected micro-data set and the estimation technique, the study can be considered as extensive not only from the perspective of the research in the Czech Republic but also from the international perspective.

This study aims to extend the discussion on firm profitability to include handloom enterprises in India.

This study uses a random sample of 427 handloom microentrepreneurs from the Indian state of Assam. The seemingly unrelated regression model is used to determine the profitability drivers in India’s handloom enterprises.

The empirical results revealed that human, financial and social capital, along with their control variables such as information and communication technology, firm size and sales distribution, are the main drivers of profitability of Indian handloom enterprises.

To the best of the authors’ knowledge, this study is the first to offer an in-depth insight into what makes profitability in the handloom enterprises in India, the world’s second-largest reservoir of the handloom industry.

This study aims to compare the financial performance of the tourism distribution sector between Portugal and Spain, regarding the years 2007 and 2017. It is also intended to determine which variables influence the performance of tourism intermediaries' enterprises.

This is a quantitative study based on financial information available on SABI database, with official data of Spanish and Portuguese enterprises. The final sample gathers 6095 intermediaries (1585 Portuguese and 4510 Spanish) which were analyzed regarding their profitability through DuPont model and an additional variable – size.

The return on equity (ROE) calculation in 2007 and 2017 identifies an increase of 12.8% for Portugal and 19.6% for Spain. Through Spearman's Rho, return on sales (ROS), asset turnover and return on asset (ROA) have a positive association with ROE, but the results about asset on equity and enterprise size did not reveal such precise evidence.

This study intends to reinforce the literature in terms of performance evaluation techniques to be used in this type of enterprises, applying DuPont model. At a practical level, besides aiming the maximization of the enterprise's profit, managers are faced with other financial challenges. Thus, this study provides important indications about aspects that should be considered to improve the enterprise's financial performance, supporting managers' decision making.

Financial studies focusing on the tourism distribution sector are limited. Even less frequent are studies with financial and official data from large samples, representative of the universe under study. The value of this study is based on these two aspects, allowing to strengthen the knowledge about tourism intermediaries and their financial performance, in a comparative approach between two countries.

The purpose of this paper is to analyze the key influencing factors which affect the performance of M & A and the key influencing factors by establishing grey relational sequence model. The results can not only perfect the current existing theoretical system, but also provide theoretical guide for M & A practice.

First of all, this paper analyzes the M & A performance through the literature reviews, and then establishes the grey model about M & A performance from three influencing factors: profitability, operational and development capacity to analyze its key influencing factors which affect M & A performance. Furthermore, the key factors influencing of M & A performance are analyzed, the results can be obtained through the analysis of the grey relative degree based on six years’ data of state-owned enterprises.

In this paper, some results can be found that ownership restriction and executive compensation can significantly affect corporate profitability and operation ability. M & A and institutional investors can be affected greater from the perspective of development ability and profitability. In general, enterprise scale has little affect on the performance after M & A.

With the sustainable development of economic globalization, M & A has become an important strategy for the rapid growth of the enterprise, enlargement market and brand effect. But the performance after M & A in most enterprises does not improve. As the pillar of the national economy, state-owned enterprises have an important impact on China’s economic development and urgently need to be reformed.

This paper analyzes the key factors through establishing grey relative sequence model to analyze the correlation of M & A performance and influencing factors, and finds key influencing factors which affect the performance of M & A. The conclusion can provide policy guidance for the improvement of M & A performance in the future.

This paper aims to study the different factors that determine the performance or success of small-scale, non-farm enterprises in Lesotho. Evidence shows that small-scale enterprises in developing countries are confronted with different challenges and problems that make them less viable. As a result, the capacity of small-scale, non-farm enterprises in employment creation, income generation and providing the means of livelihood to the poor people is not significant. In Lesotho, many people who are retrenched from the South African mines are absorbed in small-scale, non-farm enterprises to make a living. However, small-scale enterprises are faced with different challenges. The research findings suggest that factors leading to success/performance of rural non-farm enterprises in Lesotho include gender of the entrepreneur, age of the entrepreneur, ability of the entrepreneur to establish wider social networks, large population/market, availability of communication networks and infrastructure, participation of enterprises in the international market and costs of doing business and competition. In this regard, the paper makes policy recommendations that can be used to improve performance/success of small-scale, non-farm enterprises.

This research uses both qualitative and quantitative research methods to analyse data.

The main finding of the research is that foreign competition hinders the success of non-farm enterprises in Lesotho. The research findings further reveal that enterprises owned by women make the highest turnover compared to those owned by men.

This study brings in different factors that can ensure or hinder success/performance of small-scale, rural non-enterprises.

The research paper is of value in that it is the first study in Lesotho that considers different factors that determine business success in relation to employment creation, turnover and profitability.

Previous approaches have employed the SCOR model for evaluating supply chain management, and in particular, have focused on cash-to-cash cycle time (C2C). This paper reviews the Supply Chain Index (SCI) developed by Supply Chain Insight LLC, which evaluates supply chain performance based on balance, strength, and resiliency. The main aim of this study is to review SCI as a new methodology to measure performance management, as well as to apply C2C for a case study of Korean firms, to compare and present differences for further complementary application.

This paper addresses the social value of commercial enterprises that are jointly owned by a government and private sector investors and where the shares are listed on a stock exchange: thus, “listed public–private enterprises” (LPPEs). The theoretical part of the paper addresses how differences in ownership patterns influence the behavior and performance of LPPEs.

We develop a conceptual taxonomy, drawing on the empirical evidence on the behavior and performance of public–private hybrid enterprises and on the application of agency theory to that evidence. The taxonomy discussion predicts how different ownership patterns affect enterprise productive efficiency and the ability of governments to achieve social goals through LPPEs. We review the empirical literature on government enterprise ownership and on the concentration of private share ownership to deduce how these matter for owner and managerial behavior and productive efficiency. We review the literature that considers the informational content that listing of an enterprise's shares on a stock exchange can provide to enterprise owners, managers and other domestic audiences with a policy interest. We employ a social welfare perspective to derive policy implications as to when the LPPE governance structure is most appropriate.

We show how the monitoring and performance weaknesses of state ownership are offset by some private ownership, particularly when combined with listing on a stock exchange. We demonstrate the effects of different governance structures on enterprise productive efficiency. We find that the LPPE structure is particularly appropriate as an alternative to nationalization or to full privatization and regulation of natural monopoly public utilities, and as an alternative to full private ownership and taxation of non-renewable natural resource extractive enterprises.

This paper explicitly addresses the question of why and how the combination of government ownership, private investor ownership and listing on an exchange is socially valuable in providing information on productive efficiency to governments.