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p-Index From 2021 - 2026
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All Journal JAM : Jurnal Aplikasi Manajemen PINISI Discretion Review
Adelia, Winalda
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Beyond Likes: The Impact of Social Media Marketing on Healthy Product Repurchase through Brand Image and Trust Adelia, Winalda; Nuralam, Inggang Perwangsa; Wilopo
Jurnal Aplikasi Manajemen Vol. 23 No. 3 (2025)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The rapid development of digital technology has reshaped business competition dynamics, especially in the food sector. Social media marketing activities (SMMA) have emerged as strategic tools to engage consumers, build brand image, and foster repurchase intention. This study aims to investigate the influence of Social media marketing activities (SMMA) on repurchase intention, mediated by brand image and brand trust, and moderated by health consciousness. Using a quantitative explanatory approach, data were collected from 280 respondents who had purchased products from PT. Lean Lab Indonesia through TikTok Shop. The sampling method used was purposive sampling. Structural Equation Modeling (SEM-PLS) was employed to analyze the data. The findings indicate that Social media marketing activities (SMMA) significantly influence brand image, brand trust, and repurchase intention. Both brand image and brand trust mediate the relationship between Social media marketing activities (SMMA) and repurchase intention. Furthermore, health consciousness moderates the relationship between brand trust and repurchase intention. The results highlight the importance of integrating health values in digital marketing strategies to boost consumer loyalty in the healthy food industry.
Mapping the Intellectual Structure and Emerging Frontiers of AI-Driven Social Media Marketing: A Bibliometric Analysis of Recent Research Adelia, Winalda; Nuralam, Inggang Perwangsa
PINISI Discretion Review Volume 9, Issue 1, September 2025
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pdr.v1i1.82506

Abstract

The rapid integration of artificial intelligence (AI) into social media marketing has generated a growing and fragmented body of scholarly research, creating a need for systematic knowledge consolidation. Despite the increasing volume of publications, a comprehensive understanding of the intellectual structure, thematic evolution, and emerging research directions in AI-driven social media marketing remains limited. Addressing this gap, this study aims to map the development, dominant themes, and future trajectories of AI-driven social media marketing research through a bibliometric analysis.Using data retrieved from the Scopus database on 7 January 2026, a total of 161 journal articles were analyzed. Bibliographic coupling, co-occurrence (co-word) analysis, and citation analysis were conducted using VOSviewer to examine publication growth, scientific influence, intellectual structures, and conceptual themes. The results reveal a significant upward trend in research output over the past five years, accompanied by increasing citation impact. The analysis identifies four core intellectual clusters and five dominant thematic clusters, highlighting key research streams such as AI-enabled marketing analytics, consumer engagement and personalization, automation and conversational AI, performance measurement, and ethical governance.This study contributes by providing a structured and data-driven overview of AI-driven social media marketing research, offering valuable insights for scholars and practitioners. The findings also highlight emerging themes, including generative AI and responsible AI practices, which offer promising directions for future research.
Co-Authors Nuralam, Inggang Perwangsa Wilopo