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The purpose of this paper is to contribute to a better understanding on relations between Chinese Outward Foreign Direct Investment (OFDI) and host country political risk. To contribute to a better understanding of whether traditional wisdom on foreign direct investment (FDI) is sufficient to explain the internationalization of Chinese multinational enterprises, the author collected 15 proxy variables from the PRS Group and Heritage Foundation and applied principal component analysis (PCA) to construct a new political risk index (PRI) that measures multiple facets of political risk for 139 countries.

Using this new PRI as a criterion, the author investigated changes in the political risk distribution (PRD) of Chinese outward FDI (OFDI) regarding investment destinations, large projects, annual investment outflows and sectorial distributions from 2006–2017.

The author found that the vast majority of Chinese OFDI during this period is concentrated in moderate- and low-risk countries, even at the sectorial level. This paper also shows that the continuing reform of Chinese OFDI policy and strong government support have led to an unprecedented increase in Chinese OFDI, while the PRD of Chinese OFDI has maintained a gradual decline over the past decade.

This research provides a new measurement that covers multiple facets of political risk.

This study investigates an under-researched yet fundamental question of how a developed country multinational enterprises (DMNE) perceives and manages political risks when undertaking infrastructure projects in the emerging markets (EMs).

The authors use an abduction-based qualitative research approach to analyze six international project operations of a multinational enterprise originating from Finland in five EMs.

The findings suggest that the overall nature of political risks in EMs is not the same, except few political risk factors that are visible in most EMs. Consequently, the applied risk management mechanisms vary between EMs, except with few common mechanisms. The authors develop an integrative analytical framework of political risk management based on the findings.

This paper is one of the first studies to identify political risk factors for western MNEs while undertaking international project operations and link them to reduction mechanisms used by them. The authors go beyond the notion of risk being conceptualized at a general level and evaluate 20 specific political risk factors referred to in extant literature. The authors further link these political risk factors with both social exchange and transaction cost theories conceptually as well as empirically. Finally, the authors develop a relatively comprehensive analytical framework of political risk management based on the case projects' findings that combine several strands of literature, including the social exchange theory, transaction cost theory, international market entry, project management and finance literature streams.

The performance of financial markets is significantly influenced by the political environment during general elections. This study investigates the effect of general elections on stock market performance in selected African markets.

Prior studies have been inconsistent in determining whether electioneering events negatively or positively influence stock market performance. The study utilized panel data set with annual observations from 1990 to 2020. The generalized method of moments (GMM) is employed to investigate the effect of electioneering and change in government on key stock market performance indicators, including stock market capitalization, stock market turnover ratio and the value of stock traded.

The study finds that electioneering activities generally have a positive impact on the performance of the stock market, whereas a change in government has a negative impact. As a result, the study recommends that stakeholders of the stock market remain vigilant and actively monitor electioneering events to devise and implement effective policies aimed at mitigating political risks during general elections. By adopting these measures, investor confidence can be significantly enhanced, fostering a more robust and secure investment environment.

The study investigates a neglected section of the literature by highlighting not only the effect of elections on stock market indicators but also possible change in government during elections.

This study investigates the extent to which, and in what ways and capacities, the incidence of adverse economic conditions burdening the masses, on the macro-level, increases the propensity for the generation of political instability/violence.

Drawing on data from a cross-section of 25 Sub-Saharan African (SSA) countries for the period 2005–2019, fixed effects (FE) and generalized method of moments (GMM) estimations are used to determine the nature and significance of the independent variable (economic condition), complemented by three control variables, on the dependent WGI-defined variable political stability scored on the basis of a continuum from −2.5 (most unstable) to +2.5 (most stable). For the link between political instability and socioeconomic conditions, the study employs a construct derived from frustration-aggression and relative deprivation theory.

The study links socioeconomic adversity to political instability in the context of SSA. In addition, larger populated countries exhibit a greater propensity to political instability than smaller populated countries. In contrast, foreign direct investment (FDI) appears to have no real effect, positive or negative, on political stability.

Poor living conditions seem to be strongly associated with a high risk of political violence in SSA. To buoy socioeconomic status, poverty alleviation needs be elevated into a key initiative in the decision-making agenda, at all levels of governance, with real targeted strides achieved in terms of enhancement of the standard of living of the masses. In addition, policies that control population need to be inaugurated hand-in-hand with welfare measures and a more equitable balancing of the distribution of resources in the society.

Given the high regional incidence of civil strife and violence, combined with a dearth of research of an empirical nature on political risk in SSA, this study provides a largely ignored and useful context on SSA apart from studies on the incidence of violence that consider the developing countries as a monolithic whole.

This paper explores the interaction and impact of political disruptions on textile supply chain performance in Pakistan. A qualitative approach is adopted to explore the linkages and relationships between political disruptions and supply chain disruptions and performance. Semi-structured interviews were conducted at 25 different textile manufacturing firms. This study confirmed the prevalence of severe and variegated impacts of political disruptions on the textile supply chain. Supply chain disruption is found to be a key mediating factor that directly and indirectly affect supply chain performance through an increased production and delivery lead-time, transportation delays, interruptions of raw material supplies to plants and distributors and the restricted access to workplaces for suppliers and workers. The linkages are represented through vicious circles that illustrate the interactions and inter-relationships between disrupted supply chain and performance. This study provides empirical evidence to help government to formulate pertinent labour laws and industrial policy to mitigate political disruptions and minimise deleterious effects of supply chain disruption on production and distribution networks whilst respecting and protecting the democratic rights of people.

Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations.

This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments.

This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors.

This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains.

The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system.

This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.

Health-care systems around the globe share several pressing challenges – including increasing costs and patient outcomes. Innovative arrangements, such as public–private partnerships (PPP) can be adopted to help address these challenges. Although the promise of PPPs is great, so are its peril if the arrangements are not managed and regulated adequately through the contracting process. Yet, PPP arrangements can introduce their own unique set of problems. This paper aims to analyze how PPPs contracting accounts for three major problems identified reviewing the: performance measurement and audit; determination of compensation and risk management–related issues.

The authors used a case study approach to analyze contracting among health-care PPPs in two countries: Italy and the USA. With a structured review performed on Scopus database using a keywords Boolean research, the authors identified three recurring major issues to investigate in two selected cases, one per country. For each major issue, the authors defined several sub-issues retrieved from a widely used institutional framework. In each sub-issue, a documental analysis on all published information related to the signed contract has been performed identifying the approaches used by the two organizations.

The authors find that PPP contracting in the USA case seems to be oriented more toward managing institutional change as well as more flexibility in the deductibility and compensation determination for organizations and providers, suggesting this organization is more oriented to change in general. The authors find that PPP contracting in Italy more clearly delineate the allocation of risk between organizations that engage in PPPs, suggesting a more practical approach.

PPP is complex. Contracting helps manage the complexity of these arrangements. This case study approach to PPP contracting highlights the variation in contracting approaches across two different countries. Policymakers and health-care managers need to ensure that PPP contracting clearly delineates auditing and performance measurement, compensation and risk management.

The authors’ analysis sheds light on the different approaches to arranging health-care PPPs in two different country settings. More research should be done to connect these different approaches to important outcomes, such as patient and organizational finances, as well as expanding the scope of countries adopting PPP in health care.

This paper aims to provide a bibliometric meta-analysis of the already substantial and growing literature on international franchising. Franchising is a model for businesses to achieve scale with limited resources. International franchising is a mode of entry that allows firms to develop new markets with relatively little risk but also little control.

Using a systematic approach, the paper identifies all articles in the ISI Web of Science from 1970 to 2018 that includes the term international franchising (in the title, the abstract or keywords) and finds 131 articles. This paper used HistCite software to analyze the bibliometric data.

Four major research clusters in the international franchising literature are identified. In addition, this study shows a change in research patterns regarding topics, theories and methodologies from the 1970s through 2018. The paper presents the most influential articles, authors and journals.

From the analyzes, this study develops a conceptual framework of international franchising and suggest avenues for future research.

This paper aims to discuss the main characteristics of the Middle East North Africa (MENA) region's capital inflows volatility. It also examines the effect of institutional quality and information availability on capital inflows volatility in selected MENA countries (Bahrain, Egypt, Israel, Jordan, Kuwait, Libya, Morocco, Oman, Saudi Arabia and Tunisia) in the period 1996–2017.

The study's assessments are based on the International Country Risk Guide (ICRG) and globalization indices. It also employs an updated data set of balance of payments indicators released by the International Monetary Fund. Moreover, the study uses econometric panel modeling of random effect model, with Driscoll-Kraay robust standard error, to analyze the relationship between capital inflows volatility, institutional quality and information availability.

The paper finds that both institutional quality and information availability are in an inverse relationship with the total capital inflows volatility in the MENA region. However, the findings vary across the different components of total capital inflows. For example, the volatility of foreign direct investment (FDI) declines, like total capital flows, as the two factors improve. However, the volatility of foreign portfolio investment (FPI) is negatively related to institutional quality but does not have any significant relationship with information availability. While the volatility of foreign other investments (FOI) decreases with the availability of information, but does not have any significant relationship with institutional quality.

This paper expands the limited literature regarding the determinants of capital inflows volatility. Furthermore, it is the first study that investigates the effect of institutional quality and information availability on capital inflows volatility in the MENA region.

The purpose of this paper is to study public project governance frameworks in various ministries and agencies in Norway, following the introduction of such a framework on the topmost level (i.e. the cabinet) which applies to the very largest projects.

The study is methodologically designed as a qualitative assessment of project governance frameworks that apply to state-funded investment projects in selected sectors, based on data gathered through document reviews and interviews.

The study finds that all of the agencies have introduced their own project governance frameworks, which are basically consistent with the recommendations from the project management literature and with the cabinet’s overall requirements in Norway. By contrast, only one ministry has taken a formalized role as a project owner. Governance tasks thus seem to be extensively delegated to the subordinate agencies. This even includes strategic tasks such as project selection and portfolio management, and implies there is a risk that public project governance has a narrow and internal focus.

The paper is a first step toward a better understanding of public project governance as a hierarchical system and the relationship between project owners on three levels, the cabinet, the sectoral ministry, and the government agency.