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The purpose of this paper is to identify how the cultural attributes of ethnic networks affect foreign direct investment (FDI) location.

The study tests on panel data the effect of ethnic networks in interaction with their member’s cultural attributes on FDI location.

Results show that ethnic networks whose members predominantly exhibit a human orientation do not affect FDI location. However, when performance orientation is the predominant cultural attribute of the members of an ethnic network, there is a positive and significant effect on FDI location.

Managers need to be aware that not all networks will be equally helpful in achieving particular goals. For instance, ethnic networks where the performance orientation is dominant among their members affect FDI location, unlike ethnic networks where human orientation is dominant. Therefore, decision-makers need to identify and align these two elements (networks and goals) to maximize outcomes.

This study contributes to the literature by suggesting that FDI location is affected by ethnic networks where performance orientation is dominant among the members, which is not the case when human orientation is dominant among the members of the ethnic networks.

This paper aims to provide new and valuable insights for organizations that have decided to implement Lean Six Sigma (LSS) as a strategy for continuous improvement in search of business excellence. This objective is achieved through statistically modeling the causal relationships between the critical success factors (CSFs) of LSS for a successful deployment of this strategy.

A statistically validated questionnaire was used to collect information from LSS practitioners in manufacturing industries located on Mexico’s northern border. Some hypotheses for relationships between LSS CSFs are developed theoretically first and empirically tested later using the structural equation modeling technique.

Proposed relationships between LSS CSFs have been demonstrated to be statistically significant, making clear that this implementation should always begin with a strong and decided participation and commitment of top management. Later, other CSFs must be activated and put into operation in a specified order to increase the probability of a successful implementation reflected in well-executed continuous improvement projects and achieving the expected benefits.

This paper proposes a structural model which has been statistically validated with information directly collected from skilled practitioners who have developed continuous improvement projects using the LSS methodology. Further, some relationships between LSS CSFs that, to the best of the author’s knowledge, had not been demonstrated empirically are now explored and verified in our work.

The objective of this article is to identify the relationships between the enablers in the implementation of Green Lean Six Sigma (GLSS) in the Mexican manufacturing industry (MMI).

To create the survey instrument, the authors did an extensive literature research, which they then applied in the MMI to find the relationships between enablers and their impact on the positive effects of implementing GLSS projects. Using exploratory and confirmatory factor analyses (EFA and CFA), the data were empirically and statistically corroborated. Furthermore, the authors validated the hypotheses that support the research using the structural equation modeling (SEM) approach in SPSS Amos.

The findings reveal that leadership has a positive impact on social and economic benefits (EcB), as well as an indirect impact on the environmental benefits (EB) of GLSS projects, with organizational involvement (OI) and performance measurement (PM) functioning as mediators.

This study represents an empirical reference for practitioners and researchers pursuing high-quality, low-cost, environmentally and socially sustainable products or processes through the implementation of GLSS projects in the manufacturing industry.

This study provides a statistically validated model using the SEM technique to represent the relationships between GLSS enablers in the MMI.

The purpose of this paper is to measure the relationships between advanced manufacturing technologies (AMTs) categories (stand-alone, intermediated and integrated systems) implementation and design, process and commercial benefits obtained.

A survey is designed with benefits gained from AMT implementation as well as its categories, which is applied to the maquiladora industry. A structural equation model with data from 383 responses is used to measure the relationship between AMT categories and benefits gained using nine hypotheses that are tested statistically significant using partial least squares. Also, using conditional probabilities, a sensitivity analysis reports how low and high levels from AMT implementation influence on the obtained benefits.

Integrated systems are the most important AMT for maquiladoras and have the strongest impact on design, processes and commercial benefits.

Data obtained support the model, but results may be different in another industrial sector and countries with different labor culture and technological level.

Managers in maquiladora industry must focus their attention on integrated manufacturing systems, because high implementation levels guarantee the biggest probability to gain benefits in design, production process and commercial.

The relationship between AMT and their benefits has not been measured in depth, and this paper contributes to understand that problem. In addition, this paper is the first to report a sensitivity analysis that enables managers to acknowledge the probability of obtaining certain benefits.

This paper aims to determine whether policy uncertainty caused by institutional decay in countries with populist rulers influences the internationalization decision of emerging market firms (EMFs).

The study used binary logit analysis on firms from Latin American countries undertaking cross-border greenfield investment projects.

The results suggest that internationalization decision is demotivated by policy uncertainty generated by populist chief executives and promoted by that of political parties.

This study uses populist rhetoric to describe policy uncertainty due to chief executives and ruling parties, which influences internationalization decision by increasing anticipated transaction costs. This inquiry identifies populism as a variable that influences EMFs to internationalize, while empirically testing the claim of theoretical scholarship that populism reconfigured the sociopolitical and institutional forces that shape the world’s business. This study further advances institutional theory by offering a fresh perspective on the influence of home instead of host-country institutions on the internationalization motivation of firms due to institutional decay caused by populist regimes.

The purpose of this study is to identify the effect of ethnic networks on firms’ location decisions using social network theory and the homophily principle.

A traditional gravity model is used on a sample composed of high-skilled and low-skilled ethnic networks and multinational enterprises (MNEs) from Latin America, North America and the European Union.

Contrary to findings of previous studies, ethnic networks do not appear to influence location decisions of Latin American firms expanding into countries from North America and the European Union. This might be because of weak ethnic connections among the players.

Managers must be aware that ethnic networks not always can be used for the strategy of the firm, at least regarding location.

Governments and entrepreneurial and immigrant associations from home and host countries could develop initiatives addressed to strengthening the links between the members of the networks.

This study extends the social network theory in the sense that ethnic networks do not always positively affect firms’ location. Moreover, it is important to consider the specific context or features of the members of a network before analyzing its effects on firms’ location.

The purpose of this study is to identify, based on social network theory, the relationship between the direction of international migration (immigration/emigration) and the international movement of enterprises and their location.

A traditional gravity model and the Tobit estimation method are applied to three groups of countries from three different regions: Latin America, North America and the European Union. The study considers a period from 2001 to 2012.

The main results suggest that the international migration that goes from the European Union and North America to Latin America is related with the firms’ internationalization and their respective location.

Given that migration can be an important and reliable source of information, trust and knowledge, managers should see it as a “bridge” between the home and host countries, which, in turn, can increase their competitive advantage.

Governments can learn how migration and outward foreign direct investment interact. In addition, they could develop political frameworks to accurately and effectively manage international migration (immigration and emigration) and FDI in the best interests of the stakeholders.

This study extends the social network theory by suggesting that networks are not only related with firms’ expansion abroad but as well with their location. This statement could be generalizable as long as emigration/networks (ethnic ties) are considered the links between the home and the host country.

This paper aims to identify the relationships among critical success factors (CSFs) for lean six sigma (LSS) implementation in higher education institutions (HEIs).

An extensive literature review was conducted to design the survey instrument, which the authors later administered in Mexican public HEIs to identify the existing relationships among the CSFs and their impact on the benefits obtained from implementing LSS projects. The data were empirically and statistically validated using exploratory and confirmatory factor analysis. Additionally, the authors applied the structural equation modeling (SEM) technique on SPSS Amos to validate the nine hypotheses supporting the research.

The results suggest that the success of LSS projects in HEIs is highly bound to a serious commitment from top management and several interrelated factors.

The main limitations of the study are that the research is cross-sectional in nature and regional in focus. Namely, the data used to validate the structural model were gathered from a small representative subset of the study population – i.e. Mexican public HEIs – and at a specific point in time.

The results reported here represent a reference framework for HEIs worldwide that wish to continuously improve their processes through LSS improvement projects.

This study proposes a statistically validated model using the SEM technique that depicts the relationships among LSS CSFs in HEIs.

This paper aims to investigate how emerging market multinational enterprises (EMNEs) are integrating and expanding into other emerging market host countries, focusing on Chinese mining companies in Peru.

Adopting a qualitative approach, an in-depth analysis of two Chinese state-owned enterprises’ strategies was conducted, building on stakeholder theory and the business ecosystem perspective.

This study reveals a reliance on high-level political lobbying rather than localized engagement strategies. However, findings point to increasing grassroots resistance among local stakeholders, undermining EMNEs’ bargaining power.

This paper argues for a paradigm shift toward inclusive, cooperative “translocal governance” approaches as empowered communities gain voice. Key contributions include advancing theoretical understanding of changing stakeholder relationships and power configurations in emerging countries, underscoring the rising significance of microlevel sociocultural embeddedness for MNE success and highlighting practical imperatives for EMNEs to embark on rapid localization strategies in Latin America. By elucidating multilayered integration realities in Peru, this interdisciplinary study yields contextualized insights and enriches perspective on the conditions and pathways for EMNEs to build sustainability in Global South emerging market environments.

The transfer of training has been identified with the effectiveness of training. The purpose of this work is to analyse the impact of training stages (training needs analysis, application and evaluation) as they relate to training transfer.

The study participants correspond to a sample of 116 teachers with managerial responsibilities (management teams and department heads) from 17 secondary schools in Spain. This work hypothesises five significant relationships: needs analysis and application of training, application and transfer of training, evaluation and analysis of training needs, evaluation and application of training and evaluation and transfer of training. The hypotheses were tested using structural equations, namely, the partial least squares–structural equation modelling technique and SmartPLS version 3.2.9.

The relationships between application and transfer of training, between evaluation of training and needs analysis, application and transfer of training are positively contrasted. The relationship between the analysis and application of training is not contrasted.

This work analyses the relationship between the training process’s different phases (analysis, application and evaluation) in the training output (training transfer) and emphasises the role of evaluation in the training process.