International Journal of Science, Engineering and TechnologyAuthors: Devansh Dubey
Abstract: Armed conflicts not only reshape geopolitics but also alter consumer decision-making, loyalty, and market dynamics. The Russia–Ukraine war (2022–present) created one of the largest modern disruptions in consumer markets, as more than 1,000 multinational corporations—including globally recognized names such as McDonald’s, Starbucks, Coca-Cola, Nike, and IKEA—suspended or terminated operations in Russia. This mass withdrawal effectively transformed Russia into a live case study of forced market adaptation, as everyday consumption habits were abruptly destabilized. This paper examines how Russian consumers responded to the disappearance of these global brands, with attention to substitution choices, price-versus-prestige trade-offs, and the growth of local and Asian alternatives. Drawing on secondary data from Statista, Euromonitor, Reuters, and Yale CELI, the study traces shifts in consumer sentiment, market shares, and purchasing priorities across the fast-food, retail, apparel, and beverage sectors. Findings reveal that consumer loyalty, traditionally considered durable, was highly elastic under geopolitical pressure. Russian consumers largely prioritized functionality and affordability, enabling domestic firms such as Vkusno i Tochka and Chernogolovka, as well as Chinese apparel and electronics brands, to expand rapidly. Although nostalgia for Western products persisted, pragmatic needs outweighed symbolic attachments. The study underscores the importance of adaptive strategies for marketers, showing that crises demand localization, resilient supply chains, and flexible brand positioning. For multinationals, the Russian case highlights the risks of overdependence on politically sensitive markets, while domestic players benefited from opportunities to build loyalty during a period of forced transition. Key findings of consumer behavior adaptation in Russia during the Russia-Ukraine conflict. Source: Compiled by author using secondary data from Statista(2023), Reuters(2022) and Euromonitor(2022).
DOI: https://doi.org/10.5281/zenodo.17191630
