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DEDDY IBRAHIM RAUF
Contact Email
deddyibrahim09@gmail.com
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+6285299931836
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Jl. Batua Raya IX Lr. 3 No. 18a
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Kota makassar,
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INDONESIA
(JUMPER)
Published by PT. Maju Malaqbi Makkarana
ISSN : -     EISSN : 29883784     DOI : 10.59971/jumper
Core Subject : Economy, Humanities, Social,
Humanities Economics, Econometrics & Finance Social Sciences
Journal Management & Economics Review : JUMPER is a journal for publishing research results on business decisions, processes and activities in actual business settings. Theoretical and empirical advances in buyer behavior, finance, organizational theory and behavior, marketing, risk and insurance and international business are regularly evaluated. Published for executives, researchers and scholars, the Journal helps apply empirical research to practical situations and theoretical findings to the realities of the business world.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 4 Documents
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Search results for , issue "Vol. 2 No. 10 (2025): June" : 4 Documents clear
Impact Of Government Support, Access To Finance, And Entrepreneurial Skills On MSME's Growth In Emerging Industrial Clusters Abidin, Zainal; Purwanto, Edy; Hotifah, Yuliati; Widiyastuti, Ika; Zain, Wafiqotul Karimah
Journal Management & Economics Review (JUMPER) Vol. 2 No. 10 (2025): June
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v2i10.666

Abstract

This study examines the impact of government support, access to finance, and entrepreneurial skills on the growth of Micro, Small, and Medium Enterprises (MSMEs) operating within emerging industrial clusters. Using a quantitative research design, data were collected from MSME owners and managers through a structured questionnaire, with a total of [insert sample size] valid responses analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The measurement model demonstrated strong reliability and validity, while the structural model revealed that all three factors significantly influenced MSME growth. Access to finance emerged as the strongest predictor (β = 0.362, p < 0.001), followed by entrepreneurial skills (β = 0.298, p < 0.01) and government support (β = 0.254, p < 0.05). The model explained 54.6% of the variance in MSME growth, indicating substantial explanatory power. These findings underscore the necessity of integrated development strategies that combine policy facilitation, financial inclusion, and capacity-building to foster sustainable MSME performance in cluster environments. The study contributes to the resource-based view and institutional theory by demonstrating that both internal capabilities and external enablers are critical for MSME success in emerging economies.
Industrialization And Blockchain Strategy In Supporting The Achievement Of SDG's And Food Security: A Case Study Of The Fisheries Industry Supply Chain With SEM, AHP, OR, and Spatial Analysis Approaches (East Java, Ambon, Makassar, Madura) Prananta, Arie; Wardhana, Indra; Away; Mahfudz, Iqbal
Journal Management & Economics Review (JUMPER) Vol. 2 No. 10 (2025): June
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v2i10.667

Abstract

This study investigates strategies for integrating blockchain technology into Indonesia’s capture fisheries supply chain to enhance transparency, operational efficiency, and sustainability, thereby contributing to the achievement of Sustainable Development Goals (SDGs) 2, 12, and 14. Employing a mixed-methods approach, the research combines Structural Equation Modeling (SEM), Analytic Hierarchy Process (AHP), Operational Research (goal programming), and Geographic Information System (GIS)-based spatial analysis. Data from 210 fisheries stakeholders were analyzed to identify determinants of blockchain adoption, prioritize strategic criteria, and optimize policy objectives. The SEM results (R² = 0.67) indicate that government support and perceptions of transparency significantly influence adoption intention. AHP prioritization highlights data transparency and accuracy (0.34) as the most critical criterion, followed by infrastructure readiness (0.27), capacity development (0.23), and cost efficiency (0.16). Goal programming optimization recommends a strategic combination of logistics traceability, digital training, and certification systems, while spatial analysis identifies Makassar, the North Coast of East Java, and Ambon as priority zones for implementation. The findings underscore that blockchain adoption in the fisheries sector is not solely a technological intervention but a systemic transformation requiring institutional reform, infrastructure investment, and multi-stakeholder collaboration. The study provides an evidence-based roadmap for place-based blockchain deployment, aiming to improve fisheries governance and strengthen Indonesia’s competitiveness in global seafood markets.
The Effect Of Business Strategy, Digital Transformation, And Competitive Advantage On Firm Performance Mayndarto, Eko Cahyo; Arijanti, Susi; Susilowati, Eko Meiningsih; Sampe, Ferdiandus
Journal Management & Economics Review (JUMPER) Vol. 2 No. 10 (2025): June
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v2i10.669

Abstract

This study investigates the effects of business strategy, digital transformation, and competitive advantage on firm performance among medium and large enterprises operating in Indonesia across various sectors. Using a purposive sample of 200 firms, data were collected from top- and mid-level managers and analyzed through multiple linear regression and mediation analysis. The results indicate that business strategy and digital transformation both have significant positive impacts on firm performance, with competitive advantage serving as the strongest predictor. Moreover, competitive advantage partially mediates the relationship between business strategy, digital transformation, and firm performance, highlighting its critical role in translating strategic and technological efforts into superior outcomes. These findings contribute to strategic management literature by integrating traditional and digital perspectives, offering practical insights for managers aiming to improve organizational performance in the context of rapid technological change and market competition. Limitations and directions for future research are also discussed.
AI-Based Training Strategy to Improve Employee Green Literacy Parinsi, Welimas Kristina; Musa, Anugrah Dewi Lestari
Journal Management & Economics Review (JUMPER) Vol. 2 No. 10 (2025): June
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v2i10.594

Abstract

Amid growing global and local environmental challenges, organizations are increasingly required to strengthen employees’ green literacy—knowledge, attitudes, and practices that enable sustainable decision-making in the workplace. This study explores the potential of an Artificial Intelligence (AI)-based training strategy to enhance employee green literacy within organizational settings in Makassar, Indonesia. Guided by a qualitative research design, the study employed semi-structured interviews, focus group discussions, and participant observation with employees, managers, and training practitioners across diverse sectors, including hospitality, manufacturing, and services. Thematic analysis was applied to interpret participants’ experiences and uncover patterns of meaning. Findings reveal that AI features such as personalization, real-time feedback, and flexible accessibility significantly foster employee engagement by increasing trust, motivation, and perceived relevance of training. Employees valued the integration of local examples, which not only enhanced contextual learning but also reflected Makassar’s socio-cultural realities. Sectoral differences further highlighted the need for industry-specific adaptations, with hospitality workers emphasizing guest-facing sustainability practices, while manufacturing employees focused on operational efficiency and waste reduction. Importantly, the study demonstrates that AI-based training contributed not only to individual knowledge gains but also to collective workplace sustainability culture through shared initiatives and values. This research underscores the dual role of AI as both a technological enabler and a catalyst for cultural transformation when combined with ethical oversight and human facilitation. For organizations and policymakers in Makassar, the findings highlight the potential of AI-driven training to align workforce development with broader green city strategies, fostering resilient, ecologically responsible, and future-ready communities.

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