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There is an extensive research stream devoted to evaluating host country political risk as it relates to foreign investment decisions, and in today’s geopolitical climate, this type of risk is becoming increasingly salient to business leaders. Despite notable advancements related to understanding the importance of government-related risk, inconsistent conceptualizations and findings remain. Thus, the purpose of this paper is to offer a comprehensive overview of how host country political risk has been conceptualized, measured and studied in relation to multinational enterprises' (MNEs’) investment decisions. After reviewing the relevant literature, five major aspects of non-violent (government type, public corruption, leadership change) and violent (armed conflict, terrorism) political risk were identified. The organization and review of each aspect of political risk provide insights on fruitful directions for future research, which are discussed.

To identify research articles on political risk and foreign investment, 13 leading management and international business journals were searched using relevant keywords (January 2000 to January 2023). Moreover, reviewing articles from these journals led to locating and reviewing additional relevant articles that the authors cited. Keyword searches were also conducted on Google Scholar and Web of Science in an effort to identify relevant articles outside of the 13 targeted journals.

Both violent and non-violent aspects of host country political risk have been studied in relation to MNEs' investment decisions. Specifically, five major aspects of host country political risk were identified (government type, public corruption, leadership change, armed conflict and terrorism). Although the general consensus is that risk related to the government often creates obstacles for MNEs, conceptualizations, measures and findings in prior research are not uniform.

This paper provides a comprehensive overview of host country political risk and foreign investment. In doing so, the aspects of political risk are identified, organized and overviewed.

Wars, and violent conflicts generally, can generate significant institutional dynamics and new legitimacy pressures for multinational enterprises (MNEs). The purpose of this paper is to understand the nature or source of institutional pressures facing MNEs in war and to examine how MNEs respond and navigate these institutional pressures.

This is a conceptual paper.

Through the theoretical lens of institutional theory and drawing on insights from the devastating Russian–Ukrainian war in Europe, the study provides a framework that explains the nature of institutional pressures impacting MNEs in a major war conflict and how MNEs respond to these pressures. Central to the framework is the impact of formal and informal institutions on MNEs during war. As a result of regulatory and social pressures, MNEs have to make important strategic decisions either to protect their legitimacy or to defend their economic objectives against institutional demands.

As the paper situates the pressures of war for MNEs in a formal and informal institutional context, this offers a new approach to understanding the costs and pressures of war on MNEs.

The research empirically examines the role of artificial intelligence (AI) integrated with social customer relationship management (SCRM) in multinational enterprises (MNEs) towards international relationship management under social distancing conditions due to the COVID-19 pandemic.

The study initially undertakes pertinently focused theoretical research in the fields of international marketing, knowledge management, and customer relationship management. And, utilizing the theories of resource-based view (RBV) and dynamic capability view (DCV) theory, the study develops a theoretical model that is subsequently empirically validated through a survey and structural equation modeling.

The study highlights the importance and means of adopting AI-integrated social CRM by MNEs, in the context of international relationship management, under the Covid-19 social distancing conditions. The study more specifically elucidates the role and significance of MNE leadership approach and support towards the adoption of AI-integrated social CRM systems and, ultimately, performance improvement of MNEs under such conditions.

The study presents insights and prescriptive explications on a topic at the heart of state-of the-art technology-based international marketing in the explicit context of the primary business-defining environment of the Covid-19 pandemic. The research provides practicable suggestions to MNEs' leadership towards the adoption of an AI-integrated social CRM system. And the study presents a unique model for international relationship management under social distancing conditions, potentially applicable during other crises.

The research is original and on a ‘fresh’ topic that combines the latest technological advancements in business (AI-integrated CRM) with the present critical business context (pandemic). The research develops a tested theoretical model that (a) is unique in its field; (b) provides a solid foundation for further research; (c) bears generic value and application during other-than-Covid-19 conditions; and (d) enhances the understanding of important fields of international marketing, including international customer relationship management and global knowledge management.

This study aims to examine uncertainties created due to the pandemic that multinational enterprises (MNEs) had to confront. It also assesses MNEs’ response to these uncertainties through their dynamic capabilities (DCs). It relied on theories of DCs and organizational learning.

MNEs listed in Fortune Global 500 served as the population of the study, while data were retrieved from their respective corporate websites. The final phase generated 704 documents systematically analyzed for dialogic communication. Content analysis was used to make inferences.

This study found six distinct uncertainties created by COVID-19. Furthermore, it was found that irrespective of industry-type or headquarters location, organizations could transform their internal processes and remain resilient by strategically sensing and responding to exogenous shocks through DCs.

The use of dialogic communication through website analysis could be prone to misrepresentations and data exaggeration from organizations. However, this limitation was mitigated by focusing on Fortune Global 500 MNEs, which are reputable global corporations.

Dealing with and coping with the uncertainties created by COVID-19 presents MNEs with valuable capabilities and experience in handling future global viral diseases when they inevitably occur.

Unlike previous shocks, COVID-19 had an immeasurable global disruption to MNEs’ business operations. Evidence was found that MNEs could remain resilient by using DCs in response to uncertainties amid an exogenous shock. It makes a theoretical contribution by extending what was previously known about DCs, uncertainties and exogenous shocks.

Cities remain an understudied unit of analysis for understanding the motives of multinational enterprises’ (MNE) foreign direct investment (FDI), with subnational locations in International Business (IB) research to date predominantly captured via the phenomenon of agglomeration. As regional integration projects, such as the European Union and to a lesser degree NAFTA, increasingly reduce the importance of national institutional environments, this paper argues regional and subnational levels become more important for studying MNE location choice. This paper aims to evaluate the explanatory contribution of regional and subnational levels of analysis to understanding MNE location choice.

A qualitative deductive bottom-up multiple-case study research design is adopted to study the city location choices and FDI motives of six automotive and six commercial banking companies. These purposefully sampled manufacturing and service MNEs have different home countries and regional orientations. Data on their foreign investments across the extended Triad of Europe, North America and Asia-Pacific were collected for the time period of 2000–2021.

Findings suggest that different classes of city tend to attract specific types of FDI and that these patterns might vary across sectors and be influenced by the regional strategic orientations of MNEs. Industry-specific findings reveal the importance of related and support industries and partners in a city location for the automotive MNEs, while the commercial banks seek investment opportunities in cities that allow acquisition targets that have an attractive customer based and will improve their local market knowledge.

The findings provide evidence in support of MNEs in manufacturing and service industries perceiving the attractiveness of three city types in different ways across the Triad regions.

The purpose of this paper is to understand the relationship between foreign direct investment (FDI) and cities and how the relationship between multinational enterprise (MNEs) and local firms facilitates regional cleantech innovation.

Using a combination of social network analysis, regression analysis and interview analysis, the authors map and analyze a cleantech cluster to investigate the relationship between MNEs and local firms and the resulting effects on cleantech innovation.

The findings of the paper indicate that FDI plays a crucial role in cities and their local clusters by acting as a broker between a diverse set of actors: firms, institutions, universities, financial and other intermediaries. Additionally, connectedness to MNEs improves local firms’ innovation.

This study is not free of limitations, mainly, because of the aspects that the analysis is based on one city and one cleantech hub. Further research could verify whether the findings of this paper hold in other cities and industries.

The findings, elucidating the connection between MNEs and local firms, as well as MNEs being important brokers in the local system, and the resulting impact, will help policymakers to take appropriate actions and support the local cleantech innovation. It is important to not only attract high-quality FDI into local clusters, but also to create and support collaborations between foreign firms and local actors, because colocation does not automatically leads to positive spillovers and a lot depends on how MNEs are integrated into the local milieu.

The present paper argues that FDI plays an important role in local cleantech innovation and it is important to integrate foreign firms in local social networks.

The authors analyze FDI patterns in an emerging industry at the city and local cluster level using a unique database containing the information on relationships between MNEs and local firms, as well as interview data.

The purpose of this paper is twofold: to analyse what theories assume about multinational enterprises (MNEs) when they claim these are superior and to discuss possible explanations for why MNE superiority seems to be dominant in the international business (IB) research field.

A common theme in mainstream IB theories is that multinational enterprises (MNEs) are superior in terms of cost efficiency and innovativeness compared with other types of organizations. A closer look at transaction cost economics (TCE)/internalization theory, evolutionary theory and dynamic capability theory reveal a bias toward MNE supremacy because of how MNEs are conceptualized as firms and therefore fail to explain the essence of “multinational advantage”. These revelations and the strong dependence on the benevolence to provide unbiased data means that MNE supremacy posited by mainstream IB theories is as much a rationalized myth as an empirical fact.

Although mainstream theories differ when it comes to the building blocks that constitute MNE supremacy, they have one attribute in common: they are silent as to why MNEs are superior compared with, for example, domestic firms or other types of economic agents. Irrespective of whether the focus is the strength of the hierarchy, the skill of managers or a common identity, nothing in the theories tells us that these factors are more pronounced in MNEs than in other types of economic actors.

The paper deals with the issue of multinational advantage. It claims that mainstream theories of MNEs tend to assume, explicitly or implicitly, that MNEs are superior in terms of cost efficiency and innovativeness compared with other types of economic agents. The analysis demonstrates that this tendency is a consequence of how MNEs are conceptualized as firms in the different theories as well as of the strong dependence in IB research on the benevolence of MNEs to provide unbiased data. It is concluded that MNE supremacy posited by mainstream IB theories is as much a rationalized myth as an empirical fact.

Drawing on institutional and transaction cost theories, the purpose of this paper is to examine the location choice for a sample of 522 foreign affiliates of Turkish multinational enterprises (MNEs).

Binary logistic regressions are conducted to test a number of hypotheses on the functional relationships between the hypothesized effect of variables and location choice of Turkish MNEs based on a secondary data drawn from official sources.

In general, the findings provide support for the majority of the study's hypotheses and tend to confirm the theoretical perspectives adopted. The level of political constraints, the level of knowledge infrastructure in the host country market, subsidiary density, industry R&D intensity and subsidiary size are found to have the expected impact on the Turkish MNE's location choice among geographic alternatives. No support is found for the impact of ownership mode of subsidiary and the group affiliation on Turkish MNEs' location choice for their subsidiaries.

The paper focuses on Turkish MNEs and the findings may not be generalizable to other emerging country (EC) MNEs. Also, the classification of geographic location into developed versus emerging countries may be too crude.

In general, the paper posits that Turkish MNEs have a motive of strategic asset seeking to enhance their global competitiveness when they enter developed countries, whereas they simply attempt to exploit their firm‐specific advantages or competencies when they access emerging countries.

Given the increasing number of EC MNEs entering other emerging and developed markets, this paper adds to the understanding of the determinants of location strategies of Turkish MNEs by identifying key regional characteristics that lead Turkish MNEs to select particular locations, among the several geographic alternatives.

The environment of international business (IB) and the capabilities of emerging market multinational enterprises (EMNEs) as well as their home countries have changed significantly, leading to some new features of liability of origin (LOR). This paper aims to extend the LOR literature by particularly focusing on the LOR of Chinese multinational enterprises (MNEs) and by taking into account the heterogeneity among industries and across individual MNEs.

Based on the stereotype content model and organizational legitimacy perspective, this study explores how LOR influences Chinese MNEs’ cross-border acquisition completions. Several hypotheses were tested by using a binary logistic regression model with panel data techniques based on data of 780 Chinese MNEs’ acquisition deals between 2008 and 2018.

The results of this study show that when the competence dimension of China’s LOR is perceived as high in the host country, Chinese MNEs are less likely to complete cross-border acquisitions. Moreover, deals are less likely to be completed when the warmth dimension of China’s LOR is perceived to be low. Global experience and the foreign-listed status of individual Chinese MNEs can alter the relationship between the LOR and deal completions.

This study advances and enriches the LOR research. It shows that a high level of competence in the home country has led to LOR for Chinese MNEs rather than the low level of competence proposed by existing LOR studies; and the LOR for Chinese MNEs is also determined by the perceived low level of warmth in the home country resulting from the geopolitical conflicts between two countries. In addition, the LOR suffered by EMNEs could vary based on certain industry- and firm-level characteristics. The findings of this study provide important practical implications for emerging economy governments and for firms intending to go abroad.

This research surveys the recent surge of empirical studies on transfer pricing manipulation by multinational enterprises (MNEs), tax-motivated transfer pricing, particularly from the year 1990 to present. The review tackles transfer pricing income shifting behavior of MNEs from three different perspectives: taxation relationship with profitability, intrafirm trade, and foreign direct investment (FDI). There have been significant developments and contributions in this field, despite many limitations, mainly concerning the availability of micro-data in general, (specifically intrafirm trade data which allows capturing much of the heterogeneity which is dangling within inter-sectors), and the tax measurement issue. Yet, this area of study is still developing and promises more achievements.