Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Journal of Economic, Business, and Administration JEBA Jurnal Ilmu Manajemen dan Bisnis Journal of Education and Culture
Fadly Alan Nur Datumula
Universitas Bina Mandiri Gorontalo
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
THE COMMERCIALIZATION OF HIGHER EDUCATION: TRENDS, IMPACTS, AND FUTURE CHALLENGES Fadly Alan Nur Datumula
Jurnal Ilmu Pendidikan dan Budaya Vol 5 No 1 (2025): Journal of Education and Culture (JEaC)
Publisher : LPPM UNiversitas Bina Mandiri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47918/6z721b83

Abstract

This study maps the global research landscape concerning higher education commercialization. Driven by economic globalization and reduced public funding, universities have progressively transitioned from societal public goods to competitive commercial services. Despite extensive qualitative evaluations on this institutional shift, the domain's intellectual architecture remains fragmented. To bridge this analytical gap, a hybrid methodology was executed, integrating a Systematic Literature Review (SLR) via the PRISMA protocol and bibliometric mapping using VOSviewer. Based on 136 core Scopus articles (1985–2024), the historical trajectory is classified into three evolutionary phases: Initiation (1985–2002), Acceleration (2003–2014), and Maturation (2015–2024). Actor mapping identifies Wu, W. as the most productive author, the University of Tehran and Moscow Aviation Institute as leading institutions, and the United States and United Kingdom as the dominant contributing nations. Spatial network analysis highlights a dense, collaborative UK-European axis, while the US acts as a macro-structural bridge to Eastern research hubs. Keyword co-occurrence clustering reveals "higher education" (n = 72) and "commercialization" (n = 54) as central nodes with strong structural proximity to technology transfer and innovation networks. The synthesis reveals that future governance must navigate critical challenges regarding marketization pressures, technology transfer regulation, and socio-economic access barriers. Ultimately, this research outlines emerging thematic directions toward institutional entrepreneurship, administrative decentralization, and tripartite co-regulatory research and development (R&D) alliances, offering strategic structural insights for policymakers balancing commercial pragmatism with public good values.
DECENTRALIZED BUSINESS IN THE BLOCKCHAIN ERA: MAPPING RESEARCH TRENDS AND IDENTIFYING FUTURE RESEARCH DIRECTIONS Fadly Alan Nur Datumula
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.
PENGARUH MEDIA SOSIAL DAN CITRA MEREK TERHADAP LOYALITAS PELANGGAN BARAMPA COFFEE GORONTALO Fadly Alan Nur Datumula; Sudarsono; Nuzmerini Rauf
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).
Co-Authors Nuzmerini Rauf Sudarsono .