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This study aims to explore the interplay of ambicultural sensitivity and relational embeddedness in the quality of B2B relationships. Specifically, it examines how these factors contribute to enhancing the adaptability, collaboration and competitive advantage of multinational corporations and institutions operating within diverse cultural landscapes.

Using an abductive qualitative case study methodology, this study engaged professionals from three diverse multinational corporations in Indonesia − an energy services provider, a logistics services company and a not-for-profit institution. The objective was to explore the integration and implications of ambicultural sensitivity across varied cultural and industry settings.

This study demonstrates that ambicultural sensitivity − the ability to understand, appreciate and integrate diverse cultural values − enhances B2B relationships through its manifestation in individual and organizational practices. It facilitates a dynamic merging of cultural perspectives and management approaches within intercultural interactions. Furthermore, relational embeddedness is identified as crucial for successful cross-cultural collaboration and innovation. These insights highlight the strategic value of cultural integration and sensitivity in maintaining a competitive edge in the global marketplace.

This study adds to the B2B marketing literature by providing a nuanced understanding of how ambicultural sensitivity and relational embeddedness operate in the context of B2B relationships.

The purpose of the paper is to determine the importance of trade logistics in export intensification and competitiveness on the level of individual companies. Within the framework of logistics performance, the influences of customs efficiency and physical trade infrastructure quality were tested on export while the contribution to improving competitiveness was analyzed through logistics services and the Logistics 4.0 component. In addition, the influence of competitiveness on companies’ exports was examined.

The research was conducted based on a survey intended for the management of export-oriented companies which was distributed through the system of the Chamber of Commerce and Industry of Serbia. A total of 298 responses were collected and provided the basis for the application of structural equation modeling (SEM) approach.

The physical trade infrastructure was found to be a significant factor in stimulating exports, while the quality of logistics services has a statistically significant impact on the level of competitiveness. The results also indicate that improving the competitiveness of companies gives positive results in stimulating their exports.

Studies that analyze the impact of trade logistics using primary data from surveys are rare. In this paper, for the first time, the SEM methodology was applied in the assessment of logistics performance effects on export and competitiveness of individual companies. Also, the impact of the logistics 4.0 concept on selected companies’ performance was empirically tested for the first time.

The aim of this study is to develop a new multidimensional index to measure export potential of textile firms by using firm-level data.

After a conceptual model, a structural equation model is developed with five dimensions and 27 observed variables based on resource-based view theory. The measurement model is solved by Linear Structural Relations (LISREL) with maximum likelihood algorithm by using data collected from 454 textile firms in Türkiye.

In this study, a new multidimensional index that measures export potential of textile firms is developed. With the proposed model, the export potential of textile firms can be calculated numerically with the five dimensions: Resources, Dynamism, Knowledge, Innovation and Sustainability. The comparison of the output of the proposed model with the control variable, firm’s actual export values, shows a significantly high success ratio of 90.76%.

The model is applicable for textile firms at different export levels, regions and sub-sectors. The Export Potential Index for Textile Industry model is verified by using Turkish textile industry data. The robustness of the model may be increased by verifying the model by using some other countries data. This model can be implemented to other industrial sectors with some modification of the dimensions and variables.

The proposed model will contribute to the firms by calculating their export potential in five dimensions with their own variables numerically. The model will help firms to develop strategies to increase their export potential and to the governmental and industrial organizations to develop incentives policies.

This paper fills the gap in the literature by proposing a multidimensional index that determines a firm’s export potential numerically by using firm-level data.

This paper aims to identify key factors influencing the development of advanced manufacturing clusters and propose governance pathways for their digital innovation ecosystems.

A quantitative analysis of the Tai-Xin Integrated Economic Zone in China is conducted using data collected through a questionnaire survey. An evaluation index for the development level of advanced manufacturing clusters is constructed, and a structural equation model is used to identify key influencing factors and governance pathways.

This paper reveals that factors such as industrial foundation, technological innovation capability, social institution environment and government policies have a significant positive impact on the development of digital innovation ecosystem in advanced manufacturing clusters. It constructs a governance model for the digital innovation ecosystem and proposes three major pathways: integration of heterogeneous innovation resources, enhancement of digital capabilities, and fostering digital collaborative governance. The crucial role of digital technology in improving data processing efficiency, optimizing resource allocation and promoting collaboration among entities is emphasized. These pathways can optimize resource allocation, boosting the competitiveness and innovation capacity of clusters.

By incorporating advanced manufacturing clusters into the digital innovation ecosystem framework, this paper enriches theoretical research on both fronts. It offers specific governance pathways and policy recommendations, providing valuable references and guidance for promoting the digital transformation and ecosystem construction of manufacturing clusters.

This study aims to investigate the impact of market competitiveness on investment efficiency, and the moderating role of ownership and regulatory structures.

In this study, the Herfindahl–Hirschman Index (HHI), Lerner Index (LI) and industry-adjusted Lerner Index (LIIA) were used to measure market competitiveness. The research population consisted of companies listed on Tehran Stock Exchange (TSE). Using a systematic elimination, 199 companies were selected within eight years during 2014–2021.

The results showed that market competitiveness (based on the LI, LIIA and HHI) positively affected investment efficiency. Moreover, institutional ownership and managerial ownership affected the relationship between market competitiveness (based on all proxies of market competitiveness) and investment efficiency. Blockholders’ ownership also moderated the relationship between market competitiveness (based on LIIA and HHI) and investment efficiency. The hypothesis testing had robustness based on additional analyses.

In recent years, competitive environment and the ownership structure of companies have changed to a certain degree, paving the way for the private sector to enter many areas of activity especially in emerging Asian markets. Moreover, investment drivers and investment efficiency in developed markets may not be generalized to emerging Asian markets. Therefore, the present findings can show the significance of this research to fill the existing gap in the literature and provide insights into ownership and regulatory structures as a governance mechanism in market competitiveness and investment efficiency.

Technological start-ups are significant contributor to the innovation and employment provider in an economy. Numerous technological start-ups are established every year; however, only a miniscule percentage of these technological start-ups sustain and scale up in the long run. The aim of this study is to investigate the factors that affect Indian technological start-ups’ competitiveness.

Case study analysis of two technological start-ups (namely, WayCool and Moglix) is undertaken to study the factors affecting the competitiveness of technological start-ups in India. Being a relatively underexplored theme of study in entrepreneurship and strategy, case analysis facilitates exploration and validation of factors influencing competitiveness. Information for case study analysis is drawn from secondary sources of information. The collected data undergoes deductive thematic analysis to systematically identify and examine recurring themes and patterns relevant to the competitiveness of Indian technological start-ups.

Case analysis reveals that innovation intensity, organisational agility and internationalisation influence competitiveness of technological start-ups. The importance of the role of each of these factors for entrepreneurial ventures has been highlighted in literature; however, their effect on competitiveness has not been examined in extant literature.

Being among the few studies on the competitiveness of technological start-ups in specific and start-ups in general, this study highlights the gap in the literature and suggests the need for examining the competitiveness of technological start-ups.

For the practitioners, this study reinforces the need for entrepreneurs to emphasise fundamental factors that build competitiveness. Subsequently, the sources of competitiveness shall enable the start-up to gain a competitive advantage.

This is among the few studies to have explored the competitiveness of technological start-ups in the Indian context.

The paper studies types and mechanisms of vertical and horizontal multilevel institutional governance (IG) (multilevel governance [MLG]). The relation with exports is reviewed and quantified to attempt prioritizing institutional reforms fostering merchandise exports in Egypt.

The paper studies data (from 1996 till 2020) to estimate impact of IG on Egyptian merchandise exports using two autoregressive distributed lag (ARDL) models: to test the World Governance Index (WGI) composite index, followed by its main indicators; and to determine governance priorities in Egypt. “Institutional” approach is adopted to assess mechanisms boosting Egyptian exports. Design comprises three sections – (1) conceptual and literature review, (2) main MLG mechanisms and (3) key findings of empirical results – to find out which institutional reforms enhance exports competitiveness in Egypt.

Among MLG different levels of governance, the macro level is highly related to boosting exports competitiveness. Institutional differentials between countries and regions affect competitive edge. In Egypt, results show that IG priorities that could foster exports are the rule of law, regulatory quality, government effectiveness and political stability and absence of violence.

By adopting IG mechanisms, i.e. legislative, organizational and digital; and instruments, e.g. National Single Window, Time Release Standards and others, Egyptian exports could reach new heights.

Exports competitiveness does not rely solely on monetary and fiscal factors; IG dynamics could be more important in Egypt. ARDL model for Egyptian merchandise exports using WGI 2021 dataset.

This study aims to examine the implementation of agile practices in Industry 4.0 to assess the financial performance measurements of manufacturing firms. It also investigates the relationship between supply chain performance and financial performance.

The study is based on an experimental research design by collecting data from 329 responses from key officials of manufacturing firms. The analyses are carried out to explore this modern concept with the help of the SPSS program, which is used to conduct a confirmatory factor and reliability analysis and Smart-partial least square (PLS) version 4.0 with structural equation modeling.

This research demonstrates the positive effect agile supply chain strategies in Industry 4.0 may have on manufacturing companies' financial performance as a whole. Everything throughout the supply chain in Industry 4.0, from the manufacturers to the end users, is taken into account as a potential performance booster. The values obtained from the model's study show that it is both dependable and effective, surpassing the threshold for such claims. The research is supported by factors like customer involvement (CUS), continuous improvement (CI), integration (INT), modularity (MOD), management style (MS) and supplier involvement (SI) but is undermined by factors including postponement (PPT).

According to the findings of the study, Industry 4.0 firms' financial performance and overall competitiveness are significantly improved when their supply chains are more agile. A more agile supply chain helps businesses to more rapidly adapt to shifts in consumer demand, shorten the amount of time it takes to produce a product, enhance product quality and boost customer happiness. As a consequence of this, there will be an increase in revenue, an improvement in profitability and continued sustainable growth.

There are literary works available on agile practices in various fields, but the current study outlines the need to understand how supply chains perform financially under the mediating effect of agile supply chains in Industry 4.0 which contribute most to the organization's success. The study will aid companies in understanding how agile practices will further the overall performance of the organization financially.

This study aims to explore how subsidiary capabilities collectively configure for performance. Additionally, it seeks to examine whether these configurations of capabilities can provide equifinal solutions through developing a comprehensive research framework that focuses on subsidiaries in China.

With a data set collected through a questionnaire from 172 Korean multinational enterprises (MNEs) in China, this study used a fuzzy-set qualitative comparative analysis to detect the capability conditions and configurations. These configurations represent combinations of various subsidiary capabilities linked to high performance.

This study identified several complex pathways with distinct configurations for high subsidiary performance. The findings demonstrate the importance of configurations over individual conditions. Thus, the results highlight that the effectiveness of diverse capabilities, which are widely believed to singularly contribute to the high performance of MNE subsidiaries, depends on how each combines with other capabilities. Overall, the findings provide a richer and fine-grained understanding of the role and relative importance of various forms of MNE subsidiary capabilities and how the joint effect of these subsidiaries contributes to high performance.

This study suggests that MNE managers should comprehensively understand how subsidiary capabilities are configured to produce subsidiary performance outcomes. This specifically illustrates the importance of understanding the mutually conflicting yet collectively exhaustive results of multi-selective solutions and aims to align with China’s industrial and regional heterogeneity.

By examining the role of MNE subsidiary capability configurations, which may collectively influence the subsidiary’s performance, this study contributes to the literature. It elucidates how MNE subsidiaries may achieve superior performance by developing and possessing various capabilities tailored to the local context.

The aim of this study is to provide an empirical investigation of the agricultural cluster’s economic, social and environmental values. By doing so, the authors aim to offer policymakers and decision-makers a strategic approach that promotes competitiveness and economic development through shared value.

The authors used AMOS software and applied structural equation modeling to achieve the study’s objectives. The study used this approach with path analysis through the Analysis of Moment Structures software.

The empirical results indicate that creating shared value (CSV) can enhance the agricultural sector’s competitiveness through clustering. Rather than enhancing competitiveness directly, CSV plays a crucial role in improving the relationship between clustering and competitiveness. The authors also examined Porter’s diamond of competitiveness and evaluated factors for creating a shared value strategy, such as factor conditions, demand conditions, related and supporting industries, strategy, structure, rivalry and the role of government.

This study focuses solely on the agricultural cluster in Qalqilya governorate and cannot be applied to other regions without additional research.

Ensuring that stakeholders in the agricultural sector are kept informed about the activities of the cluster and the benefits of their participation is crucial. Empirical findings and conclusions have demonstrated that a shared value strategy can enhance the competitiveness of this sector. To achieve this, institutions involved in developing the agricultural cluster must increase their efficiency and capacity. Consulting experts in this field and drawing on experiences from other countries can aid in achieving this goal. Additionally, enhancing farmers’ productivity should be a priority, and the Ministry of Agriculture can provide training and workshops to improve their skills and expertise.

This study suggests that Palestinian policymakers should establish effective partnerships between the government and the agricultural sector’s firms in Qalqilya to reinforce the cluster’s competitiveness. This strategy can stimulate competitiveness and promote economic and social development in Palestine.