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The paper aims to understand how state and non-state domestic terrorism impacts MNEs in foreign markets. Despite the burgeoning literature on terrorism within international business (IB), most research has focused on international terrorism, or terrorism generally. Consequently, there has been limited research examining how domestic or local based terrorism impacts foreign firms.

This is a conceptual paper.

Domestic terrorism is the most common form of terrorism in the world today and involves the state and non-state actors. Non-state domestic terrorism can be low intensity or high intensity. High intensity non-state-domestic terrorism typically involves regular and protracted political violence, along with inter-communal violence. This can expose MNEs to considerable operational, governance and legitimacy pressures.

The paper contributes to the gap in IB terrorism research with regards domestic or local based terrorism. Drawing on IB theory and critical terrorism research, the paper addresses the nature and impact of domestic terrorism within IB. The authors’ paper shows the operational, governance and legitimacy pressures of both state and non-state domestic terrorism for MNEs in host markets. While most IB scholars consider the threat of non-state terrorism for international firms, this study shows how domestic state terrorism benefits and constrains foreign firms.

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.

This paper investigates the relationship between terrorism and firm financial performance in Nigeria. The country has become one of the riskiest countries in Sub-Saharan Africa due to the intensity of recent terror attacks. Also, there is a growing focus on the importance of firms, given firms' economic contribution towards growth, employment and economic and industrial transformation. However, no study has tried establishing a relationship between terrorism and firm financial performance. Therefore, providing empirical proof of this relationship is the primary purpose and motivation of this paper.

Data from the World Bank Enterprise Survey (WBES) and the Global Terrorism Database (GTD) were used for this study. The baseline analysis was estimated using the pooled ordinary least squares regression technique. For robustness checks, the fixed effects technique was used to control for heterogeneity across the authors' sample of firms and unobserved factors that are time-invariant, while the IV technique was employed to control for any potential endogeneity.

The results obtained from the regression analysis were robust to different econometric estimations and approaches. Terrorism was found to have a consistent and significant negative impact on firm financial performance. Furthermore, the marginal effect of terrorism on firm performance was more substantial when state-level terrorism data were used.

Studies often focus on the impact of political instability (which is a measure subjectively based on perception) on foreign direct investment or on the activities of multinational corporations. The authors' research is new in supplying evidence of the relationship between terrorism (an objective measure) and the financial performance of manufacturing firms in Nigeria. Methodologically, this study also employed spatially distributed incidents of terrorism within the country. This is because incidents of terrorism are often spatially distributed within a country (i.e. province or state). This will provide new evidence of the effects of within-country variations of terrorism on firm financial performance.

Stock markets are highly sensitive to foreign and domestic events. Stock exchange markets react promptly to news and are known as an indicator of good and bad trading conditions. Terrorist attacks leave adverse effects on the economy and cause stock price volatility and, consequently, stock return volatility. Therefore, this paper aims to analyze the spatial effects of terrorism on stock market returns in the Middle East from 2008 to 2019.

This paper uses analytical research design and estimates spatial model. Before estimating the spatial model, the spillover effects were confirmed for the spatial autoregressive model using Moran’s diagnostic test for spatial dependence, Geary’s C test and Akaike statistic.

The results of this study on spatial panel data and based on spatial autoregressive estimator indicated that terrorism and associated neighborhood effects had a negative impact on stock returns in Middle East countries. Also, the corruption index and oil price negatively affected stock market return in these countries, while the democracy index had a positive effect on stock market returns. According to the results, to achieve a high and stable stock market return, it is recommended that high-level consultation is pursued with leaders of involved countries to reduce the devastating effects of terrorist activities, increase political and economic stability, attract stockholders to stock markets and spend corresponding incomes developing the infrastructures in this sector in countries of this region.

Most of the studies have investigated the impact of terrorism on the stock market returns at the national or provincial level. However, the effect of terrorism on the stock market index in the tense region of the Middle East, which is the center of terrorist attacks in the world, has not been dealt with by considering the spatial econometric effects. Thus, to the best of the authors’ knowledge, this research is a first attempt to study the impact of terrorism on the stock market returns in Middle East countries using the spatial econometric approach.

This paper provides a new empirical evidence of the impact of Global security on economic growth in Tunisia. Like Buzan (1991), the framework used four types of security: army security, economic security, social security, and political security.

The authors examine the multidimensionality of global security using ARDL-based cointegration bound tests. The model allows also for examining the long-run/short-run impacts of global security indicators on economic growth.

The proposed methodology revealed interesting results that may raise some potentially prominent policy implications. First, the findings show that the four security indicators have a significant impact on economic growth. In particular, from a social/political security point of view, the fundamental objective is to satisfy the needs of the poorest population, to limit the effect of social demands and protests on economic and political stability, to review the subsidy principle and aid policy to the poorest families, for greater efficiency and social equity.

The study highlights that global security is no longer a question of just army and defense, but it is also a question of equity, economic, social, and political development. These results call for the policymaker to adopt a strategy that reduces regional disparities and social inequalities and this through fairly distributing financial wealth for the benefit of marginalized populations.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0082

In this study the authors aim to comprehensively investigate the determinants of voting behavior in Turkey, with a specific focus on the dynamics of the center-periphery debate. Mainly, the authors focus on regional voting patterns during the period that is dominated by the Justice and Development Party (JDP/AKP) in the elections. The authors apply the random effects generalized least squares (GLS) methodology, and analyze electoral data covering four pivotal parliamentary elections (2007, 2011, 2015 and 2018) across all 81 provinces (NUTS III regions). The authors individually examine voting dynamics of the four major parties in parliament: the JDP/AKP, the Republican People's Party (RPP/CHP), the Nationalist Movement Party (NMP/MHP) and the Peoples' Democratic Party (PDP/HDP). The authors contribute to a comprehensive understanding of how socioeconomic cleavages, economic performance, party alignment and social dynamics shape voter preferences in the Turkish context, thereby addressing gaps in the existing literature.

This research employs an ecological study of Turkish NUTS III sub-regions, covering national elections from 2007 to 2018. The authors utilize the random effects GLS method to account for heteroscedasticity and time effects. The inclusion of the June and November 2015 elections enables a comprehensive analysis of the evolving dynamics in Turkish voting behavior. The results remain robust when applying pooled OLS and fixed effect OLS techniques for control.

The study's findings reveal that economic performance, specifically economic growth, plays a pivotal role in the sustained dominance of the JDP/AKP party. Voters closely associate JDP preference with economic growth, resulting in higher voting shares during periods of economic prosperity. Along with economic growth; share of agriculture in regions' GDP, female illiteracy rate, old population rate, net domestic migration, terrorism and party alignment are also influential factors in the Turkish case. Furthermore, differences among sociocultural groups, and East–West dichotomy seem to be important factors that reveal the impact of social cleavages to understand electoral choice in Turkey.

This study contributes to the existing literature by offering a comprehensive multidimensional analysis of electoral behavior in Turkey, focusing on the JDP/AKP dominance period. The main contribution of this study is its multidimensional perspective on the power bases of all main parties, considering key voter choice theories (cleavages, party alignment and retrospective economic performance voting) that have not been systematically analyzed in prior research. The main research question of this study is to examine which factors affect voting behavior in Turkey and how the dynamics of center-periphery or eastern-western region voting behavior under the JDP hegemony can be explained. The contribution of this study consists not only in its empirical testing of panel data approaches but also in its comprehensive analysis of four major political parties. Building upon existing studies in the literature, this research seeks to extend the understanding of voting dynamics for the four main parties in the parliament — JDP/AKP, RPP/CHP, NMP/MHP and PPDP/HDP — by delving into their dynamics individually, thereby expanding the scope of previous studies. This study aims to make a contribution by not only empirically testing panel data approaches but also conducting a comprehensive analysis of four major political parties. Furthermore, the separate inclusion of the 2015 elections and utilization of a panel data approach enrich the analysis by capturing the evolving dynamics of Turkish voting behavior. The study underscores the significance of socioeconomic factors, economic performance and social cleavages for voters' choices within the context of a dominant party rule.

In recent years, terrorist attacks have gradually become one of the important factors endangering social security. In this context, this research aims to propose methods and principles which can be utilized to make effective evacuation plans to reduce casualties in terrorist attacks.

By analyzing the statistical data of terrorist attack videos, this paper proposes an extended cellular automaton (CA) model and simulates the panic evacuation of the pedestrians in the terrorist attack.

The main findings are as follows. (1) The panic movement of pedestrians leads to the dispersal of the crowd and the increase in evacuation time. (2) Most deaths occur in the early stage of crowd evacuation while pedestrians gather without perceiving the risk. (3) There is a trade-off between escaping from the room and avoidance of attackers for pedestrians. Appropriate panic contagion enables pedestrians to respond more quickly to risks. (4) Casualties are mainly concentrated in complex terrains, e.g. walls, corners, obstacles, exits, etc. (5) The initial position of the attackers has a significant effect on the crowd evacuation. The evacuation efficiency should be reduced if the attacker starts the attack from the exit or corners.

In this research, the concept of “focus region” is proposed to depict the different reactions of pedestrians to danger and the effects of the attacker’s motion (especially the attack strategies of attackers) are classified. Additionally, the influences on pedestrians by direct and indirect panic sources are studied.

Using system theory, this paper aims to interrogate the impact of Boko-Haram on bank administration. The paper explains how death, injury and property destruction caused by terrorism affect banking supervision and structures.

With the aid of a mixed research method, this paper conducted 47 interviews. It extracted secondary data from the Central Bank of Nigeria database, the National Deposit Insurance Corporation publications, Enhancing Financial Innovation and Access Survey, the World Bank database and the Global Terrorism Index. Descriptive, content and regression analysis was used in this research.

With a significant regression model (p-value < 0.05), the analysis shows that terrorism accounts for 84.02% variation in banking administration. The impact of Boko-Haram on banking administration is negatively significant, especially in the areas like on-site supervision of Money Deposit Banks/Micro-finance Institutions and citizens’ accessibility to financial systems.

This paper generates new knowledge in the thematic area, which is still grey. The influence of terrorism on financial institutions as an element of economic governance is less researched. Hence, the strategic linkage of the impact of Boko-Haram on banking administration as a component of financial institutions. Therefore, this paper contributes to the existing body of literature on terrorism and economic governance.

Factors that may influence risk and/or vulnerability to young people’s involvement in terrorism are currently unclear. Understanding the factors that contribute to a young person’s risk profile is a high priority for Youth Justice Services to enable the development of targeted interventions and subsequent risk reduction. The purpose of this study is to systematically identify and critically review studies relating to young peoples’ involvement in terrorism to understand potential risk and/or vulnerability factors and the implications for intervention.

Literature was evaluated using the systematic review method. Twelve papers were selected for the systematic review according to the inclusion criteria.

Twelve factors emerged that indicated relevance to terrorism by young people and were combined into five overarching themes: contextual, social, psychological factors, trauma and use of time.

This systematic review is one of the first of its kind relating to terrorism by young people. The reported findings will be valuable to practitioners seeking to understand the risk and vulnerability factors related to terrorism by young people and the implications for intervention. Directions for future research are explored.

The current study focuses on many risk categories that have emerged in the digital ecosystem of the financial technology industry, which has dramatically changed traditional financial systems as a result of innovations in financial technology.

The Web of Science Core Collection database was used to find a data set of 719 pertinent papers on the subject encompassing the year 2015–2023. The sample procedure was carried out utilising the PRISMA approach. The keywords were first gathered relating to technological risks in banking sectors and after confirming the keywords, the authors performed the search by the “topic” which covers “title” in the search bar. On February 15, 2023, the Web of Science database was searched using the terms “Cyber security risk OR data theft OR financial crimes OR financial stability risk OR operational risk OR default risk OR money laundering OR financial terrorism AND FinTech AND banking sector”. Two-step approach is applied in this study. First, descriptive analysis is applied using RStudio to highlight prominent authors, countries and affiliations. Furthermore, relationship among authors, countries and keywords is shown by using three fields plot. Second, using VOSviewer, co-occurrence of keyword analysis is used to determine the most influential themes.

The findings show that 2,611 documents have been published from 2016 to 2023. Year 2021 is the most productive year in terms of number of publications. The results also show that WANG XC is tied for the position of most prolific contributing author. In a similar vein, the United States leads the world in publication output. Furthermore, Southwestern University of Finance and Economics in China is leading the list with 15 articles. The results from the co-occurrence of keywords reveal that “default risk”, “operational risk”, “money laundering”, “credit risk”, “corporate governance”, “systematic risk”, “financial stability risk”, “risk management” and “crises” are the frequently keywords.

The results of this study are beneficial to academia and industry in order to advance their current understanding of FinTech and associated concerns. This work expands the understanding of the technology hazards facing the banking industry from a broad perspective.