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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.

This study aims to address the macroeconomic factors effect on the travel and leisure (T&L) industry throughout Europe within the context of the Russo-Ukrainian war that have started on 24 February 2022. Specifically, top tourist destinations are analysed, such as Spain, France, Italy and Portugal, as well as Europe in general.

This study adopts the panel regression approach based on the data that is provided on a daily basis, and it covers a period of nearly 14 months, starting on 24 February 2022 and ending on 15 April 2023.

The findings indicate that the European T&L sector is impacted by macroeconomic variables. Namely, the T&L sector is significantly impacted by interest rates, geopolitical risk, oil and gas, whereas inflation has a muted effect, indicating a comparatively lesser influence on the dynamics of the industry. This research contributes to existing literature by providing one of the first quantitative analyses of how macroeconomic factors impact the European T&L business in the context of a geopolitical conflict.

A study of the Russian–Ukrainian war may be limited by a number of research constraints. The continuing nature of the conflict, the lack of communication between the parties and potential political prejudice are some of these difficulties. Any research on the Russo-Ukrainian war should be done with these limits in mind.

Macroeconomic variables play a significant role on the T&L sector development; therefore, when designing resilience strategies, they need to be accounted for.

To the best of authors’ knowledge, this is one of the first studies to analyse how macroeconomic factors affected the European T&L business using a quantitative approach. The macroeconomic variables that were taken into account in this study included interest rates, inflation, oil and petrol prices, as well as the geopolitical risk index.

This study aimed to measure the effects of the Russian–Ukrainian war on the value of imports and the food trade balance in Saudi Arabia.

Estimating the suggested model using econometric analysis for the years 1990–2021.

The amount of deficit increased in the food trade balance from 11.58 billion riyals in 1990 to 72.98 billion riyals in 2021. As for the increase in the index of food production by 10%, it leads to a decrease in the value of food imports for Saudi Arabia by 1.88%. Also, the value of the deficit in Saudi Arabia's food trade balance decreases by 5.24% as a result of a 10% rise in food exports to the country.

In light of the increase in the food price index to 145.8, the value of food imports and the deficit in the food trade balance exceed their counterparts in the current situation for the year 2021, at a rate of 37.1% and 44.5% for each respectively. In view of achieving huge financial surpluses as a result of the rise in oil prices, the Saudi Arabia is able to bear the high import bill and the amount of food trade balance deficit. Finally, the Russian–Ukrainian war leads to an increase in the cost of obtaining food commodities and their unavailability in the markets and thus affects the food security environment. Therefore, this study recommends the necessity of conducting more studies on the impact of the war on the food security of the Kingdom of Saudi Arabia.

To elaborate the nature of fact-checking in the domain of political information by examining how fact-checkers assess the validity of claims concerning the Russo-Ukrainian conflict and how they support their assessments by drawing on evidence acquired from diverse sources of information.

Descriptive quantitative and qualitative content analysis of 128 reports written by the fact-checkers of Snopes – an established fact-checking organisation – during the period of 24 February 2022 – 28 June, 2023. For the analysis, nine evaluation grounds were identified, most of them inductively from the empirical material. It was examined how the fact-checkers employed such grounds while assessing the validity of claims and how the assessments were bolstered by evidence acquired from information sources such as newspapers.

Of the 128 reports, the share of assessments indicative of the invalidity of the claims was 54.7%, while the share of positive ratings was 26.7%. The share of mixed assessments was 15.6%. In the fact-checking, two evaluation grounds, that is, the correctness of information and verifiability of an event presented in a claim formed the basis for the assessment. Depending on the topic of the claim, grounds such as temporal and spatial compatibility, as well as comparison by similarity and difference occupied a central role. Most popular sources of information offering evidence for the assessments include statements of government representatives, videos and photographs shared in social media, newspapers and television programmes.

As the study concentrated on fact-checking dealing with political information about a specific issue, the findings cannot be extended to concern the fact-checking practices in other contexts.

The study is among the first to characterise how fact-checkers employ evaluation grounds of diverse kind while assessing the validity of political information.

Ukraine hosts thousands of international students for educational tourism, of which more than 18,000 Indian medical students were compelled to escape Ukraine under emergency conditions of war. This paper aims to examine their intention to return to Ukraine to complete their education based on an integrated theory of planned behaviour (TPB) framework with added constructs, i.e. risk perception, career anxiety, rescue and relief memory.

The data were collected from 26 February 2022 to 30 June 2022 in two phases and two modes. It was ensured that the respondents were strictly confined to Indian medical students who had travelled to Ukraine for educational tourism. SPSS 25 and AMOS 23.0 were used to analyse the data. The hypotheses proposed were statistically tested.

The analysis reveals that the extended TPB model resulted in a strong model and the empirical findings corroborate that the students’ attitude, subjective norms, perceived behavioural control and career anxiety significantly and positively influence the students’ revisit intention (RI) while risk perception and rescue and relief memory have a negative influence on the RI.

The study provides timely insights and implications to the Ukrainian tourism industry, particularly educational tourism business and medical institutions under the present turmoil, which can also act as blueprint research for destinations with a similar unstable political background.

The primary value of this research work is that it provides an understanding of the intention of medical students (educational tourists) towards revisiting the war-hit destination of Ukraine.

Consumer animosity in the wake of Russia–Ukraine war has gained significance in consumer behavior research. In this line, this study aims to examine the critical influence of consumer animosity in developing brand attitude and its ensuing outcomes – brand boycott behavior and brand-country image – the moderating role of perceived intrusiveness on the relationship between consumer animosity and brand attitude and the moderating role of altruism between brand attitude and behavioral outcomes.

Using the data obtained from 411 European consumers, data analysis was performed using structural equation modeling to examine the proposed relationships.

The findings revealed a strong negative influence of consumer animosity on brand attitude, which eventually leads to brand boycott behavior and a negative brand-country image. This work also confirmed the boundary condition of perceived intrusiveness on the effect of consumers’ animosity on brand attitude. Furthermore, the authors validated the moderating effects of altruistic behavior on the relationships between brand attitude and boycott behavior and brand-country image.

This study offers theoretical, practical and policy implications in international marketing domain. The authors acknowledged a few shortcomings and made some recommendations for future research.

In the context of the Russian–Ukraine war, this study creates a novel conceptual framework based on consumer animosity. In the current scenario, provide critical perspective on how European customers’ animosity to Russian brands develops their adverse attitudes. This study also highlighted the alternatives to Russian brands when they were boycotted during the Russia–Ukraine war.

The agricultural supply chain is susceptible to disruptive geopolitical events. Therefore, agri-food firms must devise robust resilience strategies to hasten recovery and mitigate global food security effects. Hence, the central aim of this paper is to investigate how supply chains could leverage digital technologies to design resilience strategies to manage uncertainty stemming from the external environment disrupted by a geopolitical event. The context of the study is the African agri-food supply chain during the Russian invasion of Ukraine.

The authors employ strategic contingency and dynamic capabilities theory arguments to explore the scenario and conditions under which African agri-food firms could leverage digital technologies to formulate contingency strategies and devise mitigation countermeasures. Then, the authors used a multi-case-study analysis of 14 African firms of different sizes and tiers within three main agri-food sectors (i.e. livestock farming, food-crop and fisheries-aquaculture) to explore, interpret and present data and their findings.

Downstream firms (wholesalers and retailers) of the African agri-food supply chain are found to extensively use digital seizing and transforming capabilities to formulate worst-case assumptions amid geopolitical disruption, followed by proactive mitigation actions. These capabilities are mainly supported by advanced technologies such as blockchain and additive manufacturing. On the other hand, smaller upstream partners (SMEs, cooperatives and smallholders) are found to leverage less advanced technologies, such as mobile apps and cloud-based data analytics, to develop sensing capabilities necessary to formulate a “wait-and-see” strategy, allowing them to reduce perceptions of heightened supply chain uncertainty and take mainly reactive mitigation strategies. Finally, the authors integrate their findings into a conceptual framework that advances the research agenda on managing supply chain uncertainty in vulnerable areas.

This study is the first that sought to understand the contextual conditions (supply chain characteristics and firm characteristics) under which companies in the African agri-food supply chain could leverage digital technologies to manage uncertainty. The study advances contingency and dynamic capability theories by providing a new way of interacting in one specific context. In practice, this study assists managers in developing suitable strategies to manage uncertainty during geopolitical disruptions.

This study aims to examine the impact of the beginning of the Russia–Ukraine war and the Wagner Group’s attempted military coup against Putin’s regime on the European defense sector, consisting of weapons manufacturers.

The authors use the event study methodology to quantify the impact. That is, the authors assume that markets are efficient, and abnormal stock returns around the event dates capture the magnitudes of the impacts of the two events studied on European defense sector companies. The authors use the capital asset pricing model and two different multifactor models to estimate expected stock returns, which serve as the benchmark necessary to obtain abnormal returns.

The start of the war on February 24, 2022, when the Russian forces invaded Ukraine, was followed by high positive abnormal returns of up to 12% in the next few days. The results are particularly strong if multiple factors are used to control for the risk of the defense stocks. Conversely, the authors find a negative impact of the rebellion initiated by the mercenary Wagner Group’s chief, Yevgeny Prigozhin, on June 23, 2023, on the abnormal returns of defense industry stocks on the first trading day after the event.

To the best of the authors’ knowledge, this is the first study of the impact of the Russia–Ukraine war on the defense sector. Furthermore, this is the first study to measure the financial implications of the military coup initiated by the Wagner Group. The findings contribute to a rapidly growing literature on the financial implications of military conflicts around the world.

This study examines whether the Russia–Ukraine war affects herding behavior in the Moscow Exchange.

The authors employ the daily stock closing prices of 40 firms, which constitute the MOEX Russia Index from June 16, 2021, to November 30, 2022. The period before the invasion ranges from June 16, 2021, to February 23, 2022, while the post-invasion period runs from February 24, 2022, to November 30, 2022.

The findings suggest that the Russia–Ukraine war led to the formation of herding behavior among investors in Moscow Exchange. However, this herding behavior seems to be prevalent only during market downturns.

The results are important for policymakers and fund managers since they help them understand behavior patterns of investors during periods of war. Given the devastating effect of herd behavior on market stability, policymakers should implement a strategy to avoid this behavior. The formation of herding behavior during the Russia–Ukraine war indicates that uncertainty and fear caused by Western sanctions lead investors to imitate others which, in turn, could lead to equity mispricing. Thus, firm managers should take into account this evidence in equity issuance decisions in order to time the market. The findings raise questions about the validity of the efficient market hypothesis during the periods of war.

This study represents the first attempt to explore whether the Russia–Ukraine conflict contributes to the appearance of herding behavior among investors on Moscow Exchange.

The aim of this paper is threefold: (1) to develop a new measure of investor sentiment rational (ISR) of developing countries by applying principal component analysis (PCA), (2) to investigate co-movements between the ten developing stock markets, the sentiment investor's, exchange rates and geopolitical risk (GPR) during Russian invasion of Ukraine in 2022, (3) to explore the key factors that might affect exchange market and capital market before and mainly during Russia–Ukraine war period.

The wavelet approach and the multivariate wavelet coherence (MWC) are applied to detect the co-movements on daily data from August 2019 to December 2022. Value-at-risk (VaR) and conditional value-at-risk (CVaR) are used to assess the systemic risks of exchange rate market and stock market return in the developing market.

Results of this study reveal (1) strong interdependence between GPR, investor sentiment rational (ISR), stock market index and exchange rate in short- and long-terms in most countries, as inferred from (WTC) analysis. (2) There is evidence of strong short-term co-movements between ISR and exchange rates, with ISR leading. (3) Multivariate coherency shows strong contributions of ISR and GPR index to stock market index and exchange rate returns. The findings signal the attractiveness of the Vietnamese dong, Malaysian ringgits and Tunisian dinar as a hedge for currency portfolios against GPR. The authors detect a positive connectedness in the short term between all pairs of the variables analyzed in most countries. (4) Both foreign exchange and equity markets are exposed to higher levels of systemic risk in the period of the Russian invasion of Ukraine.

This study provides information that supports investors, regulators and executive managers in developing countries. The impact of sentiment investor with GPR intensified the co-movements of stocks market and exchange market during 2021–2022, which overlaps with period of the Russian invasion of Ukraine.