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All Journal Journal of Management and Business Review MANAJEMEN
Melina Sari
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences Other

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STRATEGI PROMOSI ABOVE THE LINE PRODUK MINUMAN ROOT BEER – THE GROOVY TASTE® DI WILAYAH JABODETABEK (2010-2011) Melina Sari; Pepey Riawati Kurnia
Journal of Management and Business Review Vol 8, No 1 (2011)
Publisher : Research Center and Case Clearing House PPM School of Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34149/jmbr.v8i1.87

Abstract

Tujuan studi ini adalah untuk merumuskan strategi promosi above the line untuk Root Beer – The Groovy Taste®, yang merupakan produk minuman carbonated soft drink. Studi ini menggunakan penelitian eksploratori untuk mengetahui kondisi eksternal dan industri, serta menggunakan penelitian deskriptif untuk mengetahui perilaku konsumen dari industri carbonated soft drink. Dalam formulasi strategi promosi akan ditentukan target audience, tujuan komunikasi, sasaran yang akan dicapai oleh strategi promosi ini, anggaran, desain komunikasi dan bauran media. Implementasi strategi promosi dibuat dalam bentuk Media Plan, yang berisi jadwal implementasi berikut anggaran promosi yang dibutuhkan.
Optimizing HR Efficiency and Employee Well-being through AI-Driven Automation Melina Sari; Titin Hargyatni
MANAJEMEN Vol. 5 No. 1 (2025): MEI : MANAJEMEN (Jurnal Ilmiah Manajemen dan Kewirausahaan)
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/manajemen.v5i1.936

Abstract

Modern organizations are implementing artificial intelligence (AI) applications to improve human resource management practices through increased decision transparency and improved efficiency outcomes. Decision flexibility, employee acceptance issues, and the risk of bias create significant challenges in AI adoption in HR. This study examines the implementation of AI in the HR function to evaluate its impact on operational efficiency and employee well-being, using a comprehensive theoretical framework integrating Task-Technology Fit, Sociotechnical Systems, Job Demands-Resources, and Explainable AI. The study implemented a mixed-methods design involving explanatory sequential elements to analyze the effectiveness of AI systems and employee perceptions. Quantitative analysis revealed that AI technology improves HR efficiency by up to 45% despite posing challenges in decision-making flexibility. Qualitative exploration identified differences in AI acceptance across organizational levels, with 80% of employees indicating limited understanding of AI decision mechanisms and 60% concerned about potential bias. The study findings suggest that optimal AI implementation requires a collaborative human-AI model that combines algorithmic analysis with human oversight, especially for complex scenarios that require contextual interpretation. This study highlights the importance of algorithmic transparency and targeted communication strategies to increase technology adoption. Organizations should develop comprehensive Explainable AI mechanisms that effectively communicate decision rationales in accessible language, while simultaneously implementing monitoring protocols to evaluate and address potential patterns of bias. This research contributes to the understanding of specific factors that influence successful AI implementation in the HR context, emphasizing that technology optimization and human-centered design represent complementary priorities.
Co-Authors Basturi Hasan Hartati Hasan Pepey Riawati Kurnia Titin Hargyatni