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Context Aware Eco Marketing in Textile Export Expansion

Charos NosirovaMarketing department, Tashkent State University of Economics, Tashkent, Uzbekistan
2024en
ABI

Аннотация

The current situation of sustainability-driven market competition and the problems existing in aligning marketing strategies with regional environmental regulations are proposed to achieve higher export performance, competitive market positioning, and environmentally conscious consumer engagement. This paper aimed at opening new perspectives on eco-marketing adoption that affects export success rates in the textile industry and putting forward corresponding data-driven insights and strategic recommendations. To meet the increased sustainability demands of international markets, the capability of textile firms to implement context-sensitive marketing strategies must improve. One important technique for doing this is to redesign marketing frameworks, the decision-making processes that export-oriented firms follow to perform geographically customized promotional activities. In this study, the Pairwise correlation analysis method in cross-sectional research combines the context-aware marketing method based on eco-certifications, sustainable material usage, and digital eco-advertising. Based on the innovative statistical correlation method of export performance analysis, the extracted marketing performance indicators are used to build a more accurate predictive export growth model through correlation mapping with regression-based modeling method. The research results show that the constructed model can systematically analyze the relationship between eco-marketing expenditures and export volume, and context-driven sustainability marketing is more effective, regionally adaptable, and strategically scalable to enhance global market penetration. Analyzing this trend reveals that sustainable marketing investment has been the largest determinant to textile export expansion, with certifications and digital branding strategies (e.g., GOTS certification and AI-driven targeted advertising) leading the way, but that traditional, non-contextualized marketing approaches have faded in recent decades.

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