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To assess South Africa’s (SA’s) citrus export competitiveness in the global market and identify its macroeconomic drivers.

The Normalized Revealed Comparative Advantage (NRCA) index is employed to measure export competitiveness. An ARDL-EC model is then estimated to identify the macroeconomic determinants of SA’s citrus export competitiveness.

SA’s citrus export competitiveness declined before the mid-1990s and rose thereafter. On balance, the country improved from the fourth to the second most competitive citrus exporter. A long-run relationship was established between the NRCA scores and the real exchange rate and real GDP per capita growth rate. The export price exerted a positive short-run influence on citrus export competitiveness. The rise in SA’s citrus export competitiveness since the mid-1990s was mainly driven by the rising citrus export price and real exchange rate depreciation.

Future research could explore the determinants of SA’s export competitiveness using panel gravity models of bilateral trade flows to isolate the impact of macroeconomic variables and trade restricting/enhancing policies of importing countries.

The article employs the NRCA index, which can measure comparative advantage across space and over time. It is the first to econometrically estimate the macroeconomic determinants of citrus export competitiveness in SA. Application of the ARDL-EC framework yields both short- and long-run effects of macroeconomic variables on export competitiveness.

Export market orientation can be broadly divided into intelligence (generation and dissemination) and responsiveness activities. Although previous studies assess intelligence and responsiveness activities, little is known about what type of international channel partner acts as an enabling condition for the impact of these activities on export venture performance. This study aims to examine the extent to which the selection of international channel partners through word-of-mouth referrals versus direct contacts affects the benefits of intelligence and responsiveness activities.

Data were collected from 246 exporting manufacturers in Japan. To test the hypotheses, we conducted regression analyses using a subjective performance measure at the venture level. We also performed a post hoc analysis using objective performance measure at the function level.

We find that the extent to which international channel partners are selected through word-of-mouth referrals has a moderating role in the export market-oriented activities–performance linkages. Specifically, it acts as an enabling condition for intelligence activity and a disenabling condition for responsiveness activity.

This study contributes to a better understanding of export market orientation by classifying it into intelligence and responsiveness activities and providing empirical evidence on their different interaction effects with partner selection. It also contributes to the elaboration of agency theory by offering insights into the fit between task characteristics and contract type. Our study is critical for business managers as it suggests guidelines for manufacturing exporters engaging in export market-oriented behaviors and export channel management.

Inspired by the internationalisation paths to prosperity of small and medium-sized enterprises (SMEs), where narcissistic leaders are diligent about organisations but also pursue their dark goals, this study aims to concurrently examine two avenues for the internationalisation of narcissistic leaders in SMEs concerning the function of team organisational citizenship behaviours (OCB): corporate social irresponsibility (CSI) and digital business model innovation (BMI).

This study utilised a quantitative design emphasising mature theory research, and data was analysed using multiple regression analysis and Hayes' process model. The data for this study was collected via surveys from 270 SMEs in Vietnam.

The study showed that narcissistic Chief Executive Officers (CEOs) can penetrate the global market profoundly by utilising both the righteous path, which is based on the power of the times via BMI, and the unethical path, CSI. However, team devotion via OCB can mitigate the unethical conduct of narcissistic CEOs.

The study endeavoured to find a path to internationalisation for SMEs in emerging markets with high economic openness and increasingly close connections with international markets, via two strategies for SMEs to conquer the international market more successfully, and with utilising the foundations of CEO narcissism and team citizenship behaviour.

This study contributed to the theory of SME internationalisation by employing the resource-based view and upper-echelon theory, with the updated Uppsala model as its foundation.

The paper aims at studying the effect of management practices on the extensive and intensive export margins of Egyptian manufacturing firms.

The study relies on the 2020/2021 Egyptian Industrial Firm Behavior Survey (EIFBS) which comprises 2,383 manufacturing firms representing small, medium, and large sized firms located in different regions of Egypt: Urban Governorates, Lower Egypt, and Upper Egypt. It constructs an overall management z score for each firm to estimate its effect on a firm’s probability of exporting and value of exports using Ordinary Least Squares (OLS) regressions.

Results indicate that good management is associated with a higher probability of firm exporting as well as higher export revenues conditional on exporting, robust to controlling for the level of domestic sales. These effects do not differ by firm ownership or type of sector, but rather by firm size, with managerial competence raising the probability of exporting more for large-sized firms. Additionally, good management is associated with higher firm productivity, innovation and worker training propensities which gives evidence that it is both an efficiency and a quality enhancer. Moreover, monitoring and targeting practices have significant positive effects on both margins, while incentives are only significant for the extensive margin.

Firms that aim at enhancing their export prospects and revenues should devote resources to review and upgrade their management systems to boost their product quality and production efficiency. Policy-wise, the government should create a competitive market environment that is open to both domestic and foreign firms’ entry to stimulate the adoption of better management practices.

The paper is the first to explore the link between firm management practices and export outcomes for a MENA country (Egypt). It makes use of a recent survey, the 2020/2021 Egyptian Industrial Firm Behavior Survey (EIFBS). The findings shed light on the importance of different management components (monitoring, targeting and incentives) in driving a manufacturing firm’s export performance.

This paper aims to understand how government support initiatives can enhance the international performance of small and medium-sized enterprises (SMEs). To address the gap of literature, this paper employed three theoretical lenses to examine both of direct and indirect relationships between two main constructs.

This empirical study is based on data collected from Armenian exporter SMEs. The data collection utilized a random sampling approach, resulting in 138 fully completed questionnaires, yielding a response rate of 28.4%, comparable to previous studies in international business research. This sample includes firms from three main sectors: agriculture, manufacturing and services, reflecting the structure of Armenia's international trade. Relationships were examined using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The results of this study indicate that government support initiatives lack a direct impact on international performance, while positing instead an indirect connection between the two constructs through strategic capability and institutional pressures.

The results of this study contribute to the international business literature in several ways. First, it surpasses the conventional examination of government support on firm performance by delving into both the direct and indirect relationships between these constructs. Second, it reveals that not all theoretical viewpoints hold equal strategic importance in explaining the internationalization of SMEs. From the practical point of view, findings help policymakers to maximize a country's export capacity by implementing tailored initiatives, considering the unique requirements of SMEs.

Small and medium-sized enterprises (SMEs) are highly concerned about every aspect of their international performance (IP) due to their limited resources. However, the literature has not given equal attention to every necessary aspect and has left some fields unexplored. Moreover, different approaches to assessing SME IP have made the literature even more fragmented. This research aims to identify the gaps in the research context and assessment methods of this concept.

A systematic literature review and a thematic analysis method are employed to review 272 journal papers published in high-quality journals.

By extracting six contexts in which the concept of international performance of SMEs has been analyzed, this study integrates the research themes with geographical domains and highlights which contexts require more attention. Moreover, this study provides a comprehensive review of the current state of this concept’s operationalization methods, illustrating the level of fragmentation and differences in the literature. Following the presentation of an enriched future research agenda, this study guides scholars on the current gaps and needs for research in specific contexts and domains while providing suggestions for a more cohesive assessment of the concept.

This study is the first to systematically review the research concerning the foreign performance of firms with less than 500 employees, extract their research context, illustrate uninvestigated fields and provide helpful suggestions about the concept’s operationalization method based on a comprehensive review of the extant assessment methods.

A new round of technological revolution is impacting various aspects of society. However, the importance of technology adoption in fostering firm innovation is underexplored. Therefore, this study aims to investigate whether robot adoption affects technological innovation and how human capital plays a role in this relationship in the era of circular economy.

Based on the robot adoption data from the International Federation of Robotics (IFR) and panel data of China's listed manufacturing firms from 2011 to 2020, this study uses regression models to test the impact of industrial robots on firm innovation and the mediating role of human capital.

The results demonstrate that the adoption of industrial robots can significantly promote high-quality innovation. Specifically, a one-unit increase in the number of robots per 100 employees is associated with a 13.52% increase in the number of invention patent applications in the following year. The mechanism tests show that industrial robots drive firm innovation by accumulating more highly educated workers and allocating more workers to R&D jobs. The findings are more significant for firms in industries with low market concentration, in labor-intensive industries and in regions with a shortage of high-end talent.

Due to data limitations, the sample of this study is limited to listed manufacturing firms, so the impact of industrial robots on promoting innovation may be underestimated. In addition, this study cannot observe the dynamic process of human capital management by firms after adopting robots.

The Chinese government should continue to promote the intelligent upgrading of the manufacturing industry and facilitate the promotion of robots in innovation. This implication can also be applied to developing countries that hope to learn from China's experience. In addition, this study emphasizes the role of human capital in the innovation-promoting process of robots. This highlights the importance of firms to strengthen employee education and training.

The adoption of industrial robots has profoundly influenced the production and lifestyle of human society. This study finds that the adoption of robots contributes to firm innovation, which helps people gain a deeper understanding of the positive impacts brought about by industrial intelligence.

By exploring the impact of industrial robots on firm innovation, this study offers crucial evidence at the firm level to comprehend the economic implications of robot adoption based on circular economy and human perspectives. Moreover, this study reveals that human capital is an important factor in how industrial robots affect firm innovation, providing an important complement to previous studies.

Given the contradictory findings of standardization/adaptation of marketing strategy in explaining export performance in the extant research, this study aims to examine the contingent effects of managerial ties and born global orientation in the standardized advertising-export performance conceptualization.

The study used two-respondent method in the survey research by a sample of 155 exporting firms operating in the industrial marketing based in Australia and New Zealand and applied hierarchical regression analysis to test the hypotheses.

The findings demonstrate that standardized advertising has a significant effect on export performance and this relationship is positively moderated by business ties. Such effect is particularly enhanced for born global firms (than nonborn global firms). However, political ties negatively influence the impact of standardized advertising on performance and such effect is stronger for born global firms.

A broader perspective of contingent variables should be included to examine the underlying relationship between standardized advertising and export performance in capturing the dynamism in international marketing contexts, such as institutional frameworks or sociocultural environments in host countries.

Standardized advertising is critical for born global firms’ export performance as it can increase efficiency and speed up internationalization processes. Such positive impact of standardized advertising on export performance is further enhanced if born global firms allocate resources to develop strong business ties with host country partners instead of building political ties with host country governments, because smooth business networking can facilitate standardized advertising on industrial marketing, yet justifiable political relations require intricate negotiations that often prolong internationalization progress.

This study incorporates managerial ties and born global orientation as contingent factors in fixing the theoretic interlock between standardization advertising strategy and export firm performance.

The purpose of this study is to explore the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports.

Based on the theoretical analysis of the mechanism of the digital economy’s influence on the binary margin of agricultural exports, this study empirically examines the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports based on China’s customs export data from 2011 to 2016.

The relevant findings are threefold. (1) The digital economy significantly improves the binary margin of agricultural exports, and its effect on the intensive margin is stronger than that on the expansive margin. After the expansive margin is subdivided, the effects on the three sub-variables of the expansive margin are in the following order: old products exported to new markets > new products exported to old markets > new products exported to new markets. (2) The heterogeneity analysis reveals that the digital economy has a stronger role in promoting the binary margin of exports for enterprises in the eastern region, high-income countries as the destination of exports and state-owned enterprises. (3) Mechanism analysis shows that the digital economy promotes the binary margin of agricultural exports by reducing trade costs and intensifying market competition.

First, in terms of research perspective, although there are some studies on the impact of the digital economy on export trade in existing literature, the research objects mainly focus on manufacturing enterprises. In fact, agricultural trade is susceptible to natural conditions and seasonal factors, and countries may impose more SPS measures and TBT measures on agricultural trade due to risk considerations. The relationship between the digital economy and agricultural trade also has its own characteristics, but there are few research studies in this area. At present, only Liu and Gao (2022), based on the data of total imports and exports of different agricultural products from 2004 to 2018, have established a vector auto-regressive model to empirically analyse the heterogeneous dynamic impact of the digital economy on the trade volume of agricultural products. In addition, Ma and Guo (2023) conducted an empirical test on the total effect, regional heterogeneity and threshold effect of the digital economy on agricultural export trade based on China’s provincial panel data from 2011 to 2020. Therefore, under the new circumstances of continuous integration of digital technology and agriculture, this study interprets the impact effect and mechanism of the digital economy on the binary margin of agricultural exports from the perspective of the digital economy, providing new research perspectives and approaches for promoting the growth of agricultural exports. Second, in terms of theoretical analysis, the above studies have not been fully analysed in terms of the specific mechanism of the impact of the digital economy on agricultural exports. Based on the positive and negative characteristics of agricultural trade, this study introduces two kinds of roles into the theoretical analysis framework to comprehensively determine the trade impact effect of the digital economy. Third, in terms of research design, this study empirically examines the impact of the digital economy on the binary margin of agricultural products, passing a series of robustness tests and investigating the mediating roles of trade cost and market competition effects, producing an empirical basis for China to leverage the digital economy to promote the binary margin of agricultural exports.

This study aims to analyze the complex dynamics of money laundering (ML) in the export sector of developing countries, with a special focus on Bangladesh. It aims to uncover the strategies and tactics money launderers use to exploit export transactions and understand the vulnerabilities that exist in economies where enforcement agencies neglect the export industry.

This study examines Bangladesh’s export sector ML using qualitative methods. Customs officers, central bank officers, port authorities and selected exporters were interviewed semi-structured. Document analysis of Bangladesh Bank orders, media and Customs Intelligence and Investigation Directorate reports was also done. Qualitative data patterns were identified using theme analysis.

The study identifies the most vulnerable export commodities – readymade garments, agricultural items and processed foods – as prime targets for ML. Key methods of laundering include under-invoicing, over-invoicing, misdeclaration and fake documentation. The research highlights the significant risk posed by the improper use of government financial incentives and introduces the “sample shipment” method as a novel laundering tactic. The findings underscore the need for stronger oversight and controls to mitigate these risks.

This research is limited by single-point data because ML is a continual activity. The reliance on case studies from newspaper reports and online platforms introduces a degree of selection bias and the chosen instances may not comprehensively represent the broader landscape of trade-based ML.

The study provides several practical recommendations for policymakers and law enforcement agencies to fortify the export sector against exploitation by money launderers, ensuring greater transparency and accountability in international trade operations.

By closing loopholes in the export sector, the research supports the Sustainable Development Goals, particularly Goal 16.4, which aims to reduce illicit financial flows, thereby contributing to poverty eradication and economic stability in developing countries.

Original research results supported by technical analysis are presented in this work. It contributes to the body of knowledge by detailing the adaptive strategies of money launderers and proposing targeted recommendations for enhancing the integrity of the export sector.