| dc.description.abstract |
In today’s digital era, social media has become a powerful marketing tool, reshaping
consumer behavior and brand visibility. The fashion industry, particularly has been
significantly influenced by platforms such as Instagram, Facebook, and TikTok,
which drive trends, shape preferences, and influence purchasing decisions. While
global studies highlight this impact, limited empirical research exists within the Sri
Lankan context. Recent studies emphasize the growing reliance on digital platforms
by fashion retailers, yet there is still a lack of evidence on which social media factors
most affect Sri Lankan consumers. This study aims to examine how social media
advertising affects consumer buying decisions in the fashion industry, focusing on
the Colombo District. The research investigates the influence of entertainment,
familiarity, social image, advertising spending, and social media usage on consumer
behavior. A quantitative methodology was adopted, using questionnaires distributed
among social media users engaged with the fast-fashion industry. Data were analyzed
through correlation and regression using SPSS. Results indicated high internal
consistency among variables, with strong positive correlations (0.657, 0.746, 0.703,
0.798, 0.808). The model explained 67.8% (R²) of the variance in consumer buying
behavior, and regression analysis confirmed all hypotheses with significance at p <
0.05. Findings reveal that social media advertising strongly influences consumer
behavior, with entertainment and social image emerging as the most impactful
factors. This highlights the dynamic role of fast fashion and the necessity for brands
to design campaigns that are both engaging and socially appealing. For marketers and
policymakers, these results emphasize the importance of aligning digital strategies
with consumer expectations in an increasingly competitive and rapidly changing
market. By focusing on localized insights, this study fills a knowledge gap in Sri
Lanka’s fashion industry and contributes to the broader understanding of digital
advertising effectiveness. |
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