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Based on a sample of 308 enterprises, this paper studies the determinants of export organic supply chain performance. The results indicate seven positive determinants that influence positively the supply chain performance, including: (i) need-satisfying ability (NSA), (ii) relationship management, (iii) information management, (iv) quality management, (v) coordination and cooperation mechanisms, (vi) operation management, and (vii) marketing strategy of the export organic supply chain. In contrast, the differentiated segmentation strategy and cost strategy have no impact on the export organic supply chain performance.

This paper aims to depart from the national innovation system (NIS) arguments that countries' institutional arrangements and performance result from various complementary factors that generate innovative activities and products within economies.

To further explore these dimensions, the main objective of this paper is to address the determinants of global heterogeneity in the innovation outcomes of the nations. Thus, the research employs descriptive data analysis and multivariate regression models, using data from the Global Innovation Index (GII) to analyze innovation systems cross-regionally concerning institutional arrangements and performance. Since 2013, the GII, has annually measured and ranked the innovation inputs and outputs of more than a hundred countries based on a comprehensive and sophisticated approach and a multidimensional perspective.

The author found the empirical results remarkably interesting in many respects. The different indexes of innovation inputs affect the country's performance level, but not all show a statistically significant impact on innovation outputs. Institutions and infrastructure indexes do not affect the innovative performance of the economies. The main determinants of innovation performance worldwide are business sophistication, human capital & research (HC&R) and market sophistication. In short, the research presents an original contribution, mainly because it explores different views on NIS disparities worldwide, using complementary methodological strategies and based on comprehensive data on innovative inputs and outputs in the countries.

The findings add new evidence-based knowledge on the determinants of innovation performance in different realities, such as political, economic and administrative. These realities formulate innovation policies and implement them worldwide.

This study aims to explain the effect of entrepreneurial orientation (EO) dimensions on firms’ export performance. The study has considered three dimensions of EO: innovativeness, proactiveness and risk-taking. Export performance has been measured through multifaceted determinants: financial, strategic and satisfaction levels of exporting firms.

To explain the association between such determinants, qualitative face-to-face, in-depth interviews were conducted with the respondents from the apparel manufacturing companies of Bangladesh. The study has also applied a content analysis technique to explore and triangulate the descriptions of EO dimensions on performance.

The research results reveal that EO has a meaningful explanation of export performance from the lived experience of the respondents. The study has also found frequent explanations and indicators about the association of innovativeness and proactiveness on export performance, but the risk-taking dimension has revealed no effects.

The research has different implications on theoretical, managerial and policy-making aspects of EO and export performance. Nevertheless, the findings are based on the opinions of a small sample of entrepreneurs and high-level managers. Thus, it is important to test the generalizability of these findings in future research using a larger sample.

This study indicated product, process and market creation innovativeness. Risks related to product innovation, new market entry and politics are considered for risk-taking measures, while proactive innovation, technology and new market searching are used for measuring proactiveness. Additionally, multifaceted performance determinants have been applied to evaluate export performance. Hence, this study is a unique qualitative analysis with important theoretical, practical and methodological implications.

The purpose of this study is to analyze the influence of the firms' external environment on their export intensity. More specifically, it assesses whether domestic market characteristics such as domestic demand and general export environment related to tradability across borders affect firms' export intensity.

The authors use a sample of 29,266 firms from nine European countries, for the period of 2010–2016, and test several estimation methods (random effects models, Tobit models, and Heckman's selection models).

Results show that external factors such as domestic demand and ease of trade across borders are important determinants of firms' export intensity. Moreover, results reveal that firm's internal characteristics such as age, size and productivity also play an import role.

Studies about the influence of the firms' external environment on firms' export intensity are scarce because most of them are confined to a single country context. In this way, the present study contributes to the body of knowledge on the influence that external factors can have on firms' export performance by analyzing firms from nine European countries, which has important policy implications.

The purpose of this paper is to use tenets of the complexity theory in order to study the effect of various determinants of firm’s performance, such as CEO’s compensation and age, for the case of 72 insurance companies.

The authors identify the asymmetries in the data set by creating quantiles and using contrarian analysis. Instead of ignoring this information and use a main effects approach, all the available information in the data set is taken into account. For this purpose, the authors use qualitative comparative analysis to find alternative equifinal routes toward high firm performance.

Five configurations are found which lead to high performance. Every one of the five configurations is found to be sufficient but not necessary for high firm performance.

The research findings contribute to a better understanding of the determinants of firm’s performance taking into account the asymmetries in the data set. The authors identify alternative paths toward high firm performance, which could be vital information for the decision maker inside a firm.

Innovation is regarded as a crucial determinant of growth and development in South Africa, and small, medium and micro enterprises (SMMEs) have been earmarked as instruments for the achievement of the socio-economic goals and innovation as set out in the National Development Plan. The purpose of this study is to investigate the effect of innovation on SMME performance in South Africa.

The empirical analysis was conducted using the quantile regression technique to examine the effect of innovation on the performance of firms at different sales levels. Data from the World Bank's enterprise survey was used for the analysis.

The results of the empirical analysis showed that R & D expenditures have a positive and significant effect on performance for firms with higher sales (high growth or larger firms). There is evidence that the introduction of new products/services promotes performance for low growth/ smaller firms.

The empirical results imply that innovation is crucial for SMMEs’ development and growth. However, smaller/low growth firms are not able to spend on R & D due to a lack of funds which could be the reason for their low survival rate. More support needs to be provided to smaller firms with lower sales growth, given the large financial outlay required for R & D expenditures. Despite the lack of funding for R & D expenditure, smaller firms are encouraged to introduce new products and methods of production that do not require major financial outlays.

There is scant empirical evidence on the impact of innovation on firm performance in South Africa. Most studies investigate the challenges faced by SMMEs and the different types of innovation approaches used by firms. Furthermore, the study employs the quantile regression approach which highlights the effect of innovation on firms of different sizes.

This study introduces a comprehensive bibliometric analysis of the foreign direct investment (FDI) literature by multinational corporations (MNCs) focusing on emerging economies to identify the most influential authors, journals and articles in FDI research and reveals the fields' conceptual and intellectual structures. The purpose of this paper is to address these issues.

The study analyzed 533 articles published between 1974 and 2020 in 226 academic journals indexed in the Web of Science (WoS) and Scopus databases. We used the R language for statistical computing to map author collaboration, co-word and develop a conceptual and intellectual map of the field.

The results show that, although the FDI literature has many authors, few dominate the field. The International Business Review (IBR) and International Journal of Emerging Markets (IJoEM) are the main sources of the publications. Moreover, bibliometric laws show that our dataset follows the Lotka law of scientific productivity and Bradford law of scattering, identifying the core journals. Finally, FDI by MNCs in emerging economies research is divided into four sub-research themes related to (1) FDI determinants, (2) entry mode, (3) MNCs and FDI performance and (4) the internationalization process.

The current article provides several starting points for practitioners and researchers investigating FDI. It contributes to broadening the vision of the field and offers recommendations for future studies.

The parent-subsidiary nexus has been explored since the mid-1990s, but the extent to which subsidiaries resemble their parents remains unclear. Therefore, this study examines the performance drivers for subsidiary banks in emerging markets and their parents to determine the similarities between these groups. The findings could help identify key financial performance measures that should be included in global strategies for multinational banks operating in emerging markets.

The study uses data on subsidiaries from 32 countries, including 20 European transitioning countries and 49 parent companies operating internationally from 1996 to 2015. It considers several models that distinguish between units using individual bank effects and the stochastic structure. In a robustness analysis, EU- and non-EU-based institutions are distinguished and long-term historical links between parents' and subsidiaries' countries are considered.

Cost control, capital adequacy and asset quality policies have similar importance for parent banks and subsidiaries and are strictly coordinated, whereas the remaining policies allow more flexibility. Subsidiaries in the EU and in countries that were politically and/or militarily influenced by parent countries do not “fall far from the tree”, which signals their strong group-wide integration and coordination.

This study covers a limited number of emerging market countries due to the limited availability of long-term series data. Future studies should include more countries.

This study identifies key financial measures used on a group-wide basis for performance management while accounting for long-term relations between host and home countries and the geopolitical characteristics of host countries.

This article studies the impact of micro and macro factors on firm performance in the context of an emerging economy just changed from a subsidized economy to a market economy.

The authors carried out an investigation into 30 listed food processing companies in Vietnam from 2014 to 2019. The data are analyzed by using STATA software. In this study, beside the regression analytical technique, the Blinder–Oaxaca decomposition analysis is used to study more deeply the effect of variables on financial performance of food processing companies, so its results are reliable base to give suggestions.

The results of empirical research help us to have some following conclusion. First, two variables consisting of total assets turnover ratio (ATR) and growth in sales significantly influence financial performance, when it is measured by return on equity (ROE) or return on sales (ROS). Second, leverage significantly negatively impacts return on sale. Third, there are difference in financial performance and the effect of predictors on dependent variable “ROS” between state-owned enterprises (SOEs) and non SOEs, and the causes come from the component effect.

In fact, although a range of previous researches on that topic have been carried out, none of them dig deeper reasons resulting to the differences in financial performance between SOEs and non SOEs, whereas Vietnamese economy has just changed to a market economy since 1986, making impacts of State ownership totally different from other countries. In this study, the authors use the t-test and analysis to have more accurate conclusions about that problem.

This paper investigates the financial strength of banks in Bangladesh and factors affecting the financial strength over the years 2010–2015 on 35 banks.

Additive value function with CAMEL rating (capital stength, asset quality, managerial efficiency, earning ability, liquidity) has been employed to calculate banks’ financial strength index (FSI). In the second stage, panel regression has been exercised to find out the determinants of banks’ financial strength.

Empirical finding exhibits that the Islamic banks of Bangladesh are financially stronger and outperform conventional and Islamic window banks with higher liquidity. In the ownership category, private banks have more financial strength with higher capital strength, asset quality, managerial efficiency and earning ability than public banks. Bank size, loan recovery, salary and banking sector development positively affect whereas the loan-asset negatively affect the bank’s financial strength in Bangladesh.

This study has its limitations despite its importance. CAMELS is a more improved form than using CAMEL. But because of the data deficiency on “S” which represents sensitivity, it would not be possible to use CAMELS framework. Further researchers could incorporate this.

Government and banks should allow Islamic banks to enter the market on easy terms because of their outstanding performance in the existing market. In addition, banks should provide loans with consideration so that they cannot create credit risk. In addition, they should calculate composite financial strength annually to understand which components they need to work on.

This study extends the extant result on the composite FSI. It is hard to examine the financial strength of banks using only ratio value, which misleads most of the time. The study offers evidence on how the FSI provides more rigorous results and what are the factors contribute most to the financial strength of banks.