Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Фінансово-кредитна д...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

EU DEMOGRAPHIC CHARACTERISTICS: GLOBAL MEGATRENDS AND OPPORTUNITIES FOR THE RETAIL SECTOR

Authors: Olena Serhiienko; Svitlana Prokopovych; Maryna Tatar; Oleksandr Bilotserkivskyi; Oleksandr Chernov; Oleksandr Kyzliuk;

EU DEMOGRAPHIC CHARACTERISTICS: GLOBAL MEGATRENDS AND OPPORTUNITIES FOR THE RETAIL SECTOR

Abstract

The article proposes the complex of economic and mathematical models for assessment and analysis of the peculiarities of the demographic situation in the EU countries for the formation of recommendations on improving the retail trade sector development adapted to each group of countries. Key global megatrends such as population ageing, declining share of the working-age population, increasing migration flows, urbanization, digitalization and consumer behaviour changing, and increasing environmental awareness are analyzed. The study highlights the challenges and opportunities these changes present for the retail sector.A cluster-based model is developed to categorize countries into distinct demographic profiles, facilitating targeted retail strategies. The research employs factor analysis and multidimensional assessment methods to quantify the influence of demographic indicators, incorporating both stimulating and disincentive effects on retail market dynamics. This structured approach enables the design of differentiated business strategies, ensuring optimal market positioning and consumer engagement. The research also includes the examination of meta-spatial business collaborations as a crucial mechanism for retail adaptation. Particular focus is given to the adaptation of business models to cater to the needs of an ageing population, and the development of inclusive product assortments for multicultural communities. The results allow us to identify countries, in which it is optimal to develop youth-driven digital engagement models, senior-friendly shopping environments, and culturally inclusive retail ecosystems. The study underscores the necessity of aligning demographic data with emerging retail innovations to foster economic adaptability in an evolving global landscape. Companies can use demographic insights to form business collaborations with suppliers, brands, and marketing agencies that complement their audience, ensuring more effective partnerships and increased profitability. Based on demographic characteristics, government authorities can effectively regulate the trade sector, and ensure the availability of goods for the population. The findings underline the importance of integrating demographic analysis into strategic planning to enhance the retail sector's resilience.

Keywords

Economics as a science, HF5001-6182, country’s population, global megatrends, factor analysis, Business, business collaborations, HB71-74, cluster analysis, demographic indicators

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold