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The Effectiveness of Influencer Marketing in Digital Campaigns for Beauty Products Fahad Khan Afridi; Hidayat, Agus Rohmat
Journal of Digital Marketing and Search Engine Optimization Vol. 1 No. 1 (2024): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jseo.v1i1.3

Abstract

In recent years, influencer marketing has emerged as a powerful component in digital advertising strategies, particularly in the beauty industry. The proliferation of social media platforms such as Instagram, YouTube, and TikTok has enabled beauty influencers to build large followings and significantly shape consumer preferences and purchase decisions. This paper investigates the effectiveness of influencer marketing in digital campaigns for beauty products by exploring how influencer credibility, content quality, audience engagement, and brand alignment contribute to campaign success. Through a qualitative approach and literature review, the study identifies key factors influencing campaign effectiveness and highlights both opportunities and challenges for marketers. Findings indicate that influencer marketing can enhance brand awareness, drive consumer trust, and increase sales conversions when executed with strategic precision. However, issues such as influencer authenticity, audience skepticism, and algorithmic changes may affect outcomes. The paper concludes by offering strategic recommendations for brands aiming to leverage influencer marketing to achieve measurable results in the highly competitive beauty sector.
Recruitment and Retention of Tech-Savvy Talent for AI in Agriculture: Challenges Faced by HR in Rural Agribusiness Azzahra, Adelia; Sherina Prahitaningtyas; Fahad Khan Afridi; Makinde Grace Olubisi
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.5

Abstract

The integration of AI in agriculture is transforming rural agribusinesses, offering solutions for increased productivity and sustainability. However, these agribusinesses face significant challenges in recruiting and retaining AI talent due to geographical limitations, limited career growth opportunities, and perceptions of technological constraints. This study investigates the factors impacting AI talent acquisition and retention within rural agribusinesses and explores practical strategies to address these challenges. Using a qualitative approach, data were collected from HR professionals across rural agribusinesses, focusing on their experiences and strategies for managing AI-driven recruitment and retention. Findings indicate that limited candidate pools, infrastructural constraints, and perceptions of limited professional growth pose significant barriers to attracting tech-savvy talent. Effective retention strategies identified include flexible work arrangements, skill development programs, and digital engagement platforms, all of which contribute to higher job satisfaction among AI professionals in rural settings. The study concludes that rural agribusinesses can enhance their talent acquisition by emphasizing the impact of AI in sustainable agriculture and by adapting digital recruitment strategies to target tech-driven professionals seeking purpose-oriented careers. These findings provide valuable insights for HR practitioners and policymakers aiming to bridge the digital divide in agriculture through improved AI talent management.