Mardhatilah Shanti
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PENGARUH BRAND IMAGE, KUALITAS PRODUK, DAN REFERENCE GROUP TERHADAP MINAT BELI PRODUK KOSMETIK LIPSTIK WARDAH DI KOTA MALANG Mardhatilah Shanti; Dimas Hendrawan
Jurnal Ilmiah Mahasiswa FEB Vol 3, No 2: Semester Genap 2014/2015
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract

Industrial cosmetics growth  has increased every  year. Cosmetic’s company try to be able to dominate the market share.  Wardah is one of cosmetics brand which is dominate the national cosmetics market in recent years. Some of Wardah’s product was received awards, and Wardah’s lipstick is one of  the  Wardah’s  product  which  was received award  since 2012. Lipstick is one of the major beauty needed for every woman.  Women want a product which based on  their needs, wants and feel comfortable to use it before  they choosed. Wardah can comunicate the value of  their  lipstick well, so it could created  the impression of quality and a positive image of it. The quality and image of product became the first criteria to generate an interest. Reference group  was  the important thing and influential in consumer behaviour, particularly in a frienship zone. In addition,  the higher education level was the higher individual concern for personal appearance too. Malang as the city of education have a behaviour and look like an educated population.  This study aims to determine the influence of brand image, product quality, and reference group to Wardah’s lipstick’s purchase intention in Malang. This study was explanatory with a quantitative approach and survey methode conducted on 150 women in Malang. Nonporbability sampling with purposive sampling technique was used. Data analysis process used by multiple linear regression analysis. Based on the hypothesis testing of F, all independent variables has simultaneously significant effect on purchase intention. t  test results also showed that brand image, product quality, and reference group particaly significant effect on purchase intention. The most dominant variable affecting purchase intention is brand image variable.Key word : Brand Image, Quality Product, Reference Group, Purcahse Intention
THE RISE OF INTELLIGENT MARKETING: A BIBLIOMETRIC REVIEW OF DIGITAL TRANSFORMATION RESEARCH Mardhatilah Shanti; Elysia Annabelle
Juremi: Jurnal Riset Ekonomi Vol. 5 No. 3 (2025): Nopember 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/juremi.v5i3.11612

Abstract

The rapid advancement of digital technologies has intensified the use of big data in marketing decision making, yet the evolution and research structure of this domain remain fragmented. This study examines through bibliometric analysis, the development and thematic structure of big data research in digital marketing from 2015-2025. The dataset comprises 1.076 documents retrieved from Scopus database and analyzed using performance analysis and science mapping methods to identify publication trends, influential sources, and thematic clusters. The findings reveal a significant increase in publication output, with an average annual growth rate of 8.48%, particularly between 2019 and 2023, aligning with the global acceleration of digital transformation following the pandemic. Keyword network analysis identifies two main thematic clusters: (1) business and marketing dimensions, represented by keywords such as big data, marketing, and commerce; and (2) supporting technologies, including artificial intelligence and the Internet of Things. Geographically, research productivity is dominated by China (likely 363 documents), India (505), and the United States (409). Citation analysis indicates that earlier publications receive higher average citations, suggesting that time positively influences scientific recognition. Overall, this study provides a comprehensive overview of the intellectual landscape of big data research in digital marketing. It contributes by mapping the field’s evolutionary trajectory and identifying future research directions, particularly regarding the integration of advanced technologies and data-driven innovation in digital business practices