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All Journal Journal of Economic, Business, and Administration JEBA Jurnal Ilmu Manajemen dan Bisnis
Datumula, Fadly Alan Nur
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences Other

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PENGARUH MEDIA SOSIAL DAN CITRA MEREK TERHADAP LOYALITAS PELANGGAN BARAMPA COFFEE GORONTALO Datumula, Fadly Alan Nur; Sudarsono; Rauf, Nuzmerini
Jurnal Ilmu Manajemen dan Bisnis Vol. 14 No. 1 (2026): Jurnal Ilmu Manajemen dan Bisnis (JIMB)
Publisher : LP2M Universitas Bina Mandiri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47918/jimb.v14i1.2338

Abstract

Penelitian ini bertujuan untuk (1) menganalisis pengaruh media sosial terhadap loyalitas pelanggan Barampa Coffee Gorontalo, (2) menganalisis pengaruh citra merek terhadap loyalitas pelanggan Barampa Coffee Gorontalo, dan (3) menganalisis pengaruh media sosial dan citra merek secara simultan terhadap loyalitas pelanggan. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan metode survei. Sampel diambil melalui teknik Purposive Sampling dengan jumlah responden sebanyak 96 pelanggan yang memenuhi kriteria loyalitas. Data dianalisis menggunakan Regresi Linear Berganda, didahului oleh Uji Validitas, Uji Reliabilitas, dan asumsi klasik. Alat uji statistik utama yang digunakan meliputi Uji t (parsial), Uji F (simultan), dan Koefisien Determinasi (R2). Hasil analisis regresi menunjukkan bahwa: (1) Media Sosial (X1) berpengaruh positif dan signifikan terhadap loyalitas pelanggan, dengan koefisien B1=0.475 dan nilai t-hitung=7.642 (p<0.001). (2) Citra Merek (X2) juga berpengaruh positif dan signifikan terhadap loyalitas pelanggan, dengan koefisien B2=0.494 dan nilai t-hitung=5.372 (p<0.001). (3) Secara simultan, media sosial dan citra merek memiliki pengaruh yang signifikan terhadap loyalitas pelanggan, dibuktikan dengan nilai F-hitung=272.393 (p<0.001). Model ini memiliki daya prediksi yang sangat tinggi, di mana kedua variabel mampu menjelaskan 85.4% dari variasi loyalitas pelanggan (R2=0.854).
DECENTRALIZED BUSINESS IN THE BLOCKCHAIN ERA: MAPPING RESEARCH TRENDS AND IDENTIFYING FUTURE RESEARCH DIRECTIONS Datumula, Fadly Alan Nur
Journal of Economic, Business, and Administration (JEBA) Vol. 5 No. 4 (2024): Journal of Economic, Business and Administration (JEBA)
Publisher : LP2M Universitas Bina Mandiri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47918/70wevc54

Abstract

The evolution of decentralized business models (DBMs) has fundamentally transformed the global economic landscape, shifting from its initial cryptocurrency-centric origins to a wide array of diverse industrial applications. This study aims to comprehensively map emerging research trends and identify critical knowledge gaps in the field of decentralized business during the current blockchain era. Employing a rigorous Systematic Literature Review (SLR) and bibliometric analysis through the PRISMA framework, a total of 142 eligible documents retrieved from the Scopus database (covering the period 2017–2023) were meticulously analyzed. The findings reveal three distinct evolutionary phases: the initiation phase (2017–2018), stable development (2019–2021), and a recent period of rapid acceleration (2022–2023). Detailed keyword clustering identifies Decentralized Finance (DeFi), Smart Contracts, and Decentralized Autonomous Organizations (DAOs) as the dominant thematic pillars of current academic discourse. Geographically, a "triad" of global leaders consisting of China, the United States, and India dominates the majority of the published research. Despite this rapid growth, significant challenges persist, particularly regarding network scalability, complex regulatory frameworks, and domain-specific security vulnerabilities. This study provides a strategic roadmap for future research, emphasizing the necessary convergence of blockchain technology with the Internet of Things (IoT) and Artificial Intelligence (AI) to foster more automated, transparent, and secure industrial ecosystems for the future global economy.
Co-Authors Rauf, Nuzmerini Sudarsono