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Journal : Asian Journal of Management Analytics

Dissecting the Influence of Products and Digital Marketing on Purchase Decisions: The Pivotal Role of Consumer Satisfaction (Case Study of Kampung Lele Kediri) Kurniawati, Endah; Ayuanti, Rafikhein Novia
Asian Journal of Management Analytics Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v4i1.13248

Abstract

This study investigates the impact of product quality and digital marketing on consumers' purchasing decisions in Kampung Lele Kediri, mediated by satisfaction. Findings reveal that while product quality significantly enhances satisfaction, it doesn't directly drive purchases, suggesting other influencing factors. Digital marketing, meanwhile, shows no significant impact. To improve, Kampung Lele Kediri should refine pricing and marketing strategies, bolster digital marketing efforts through training and engaging content, and complement product quality improvements with loyalty programs and enhanced service. This research offers valuable insights for businesses and policymakers to formulate more effective strategies.
The Influence of Customer Value, Product Quality, and Product Attractiveness on Consumer Purchasing Interest in Umkm in Jamu Kampung Kediri City Pamungkas, Septian Yudha; Ayuanti, Rafikhein Novia
Asian Journal of Management Analytics Vol. 3 No. 2 (2024): April 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v3i2.8600

Abstract

This research tries to find out how these three elements influence consumers' desire to buy in Kampung Jamu, Kediri City (Y), product attractiveness (X2), and consumer buying interest (X3), using a numerical methodology. Eighty-five respondents in Kampung Jamu were sampled using a techniqueAccidental Sampling.SPSS is the analytical software application used, while questionnaires are used for data collection. Various data analysis techniques used include; multiple linear regression analysis, reliability test, partial t test, simultaneous F test, classical assumption test, and coefficient of determination. Customer shopping interest is positively influenced by customer value, as evidenced by the Sig t value of 0.002 < 0.05. Customer buying interest is influenced positively and significantly by product quality, as seen from the Sig value of 0.000 < 0.05. Customer intention to buy a product is positively and significantly correlated with its attractiveness, indicated by a Sig t value of 0.026 < 0.05. Customer value, product attractiveness, and product quality all have an identical influence on customer purchasing intentions, with a Sig t value of 0.000 < 0.05.