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Jurnal Ekonomi, Teknologi dan Bisnis
Published by Al-Makki Publisher
ISSN : 2964903X     EISSN : 29629330     DOI : https://doi.org/10.57185/jetbis
Core Subject : Economy, Science, Engineering,
Astronomy Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering
urnal Ekonomi, Teknologi dan Bisnis (JETBIS) is a double blind peer-reviewed academic journal and open access to social and scientific fields. The journal is published monthly once by Al-Makki Publisher. Jurnal Ekonomi, Teknologi dan Bisnis (JETBIS) provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically. The journal publishes research articles covering all aspects of Economic, Technology and Business, ranging from Economics, Management, Accounting, entrepreneurship, Business, MSME and Technology that belong to the Economic, Technology and Business context.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis" : 6 Documents clear
Strategic Human Resource Management and Organizational Performance in Emerging Markets Rohmat Hidayat, Agus
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/ztn77p48

Abstract

This study examines the relationship between strategic human resource management (SHRM) practices and organizational performance in emerging markets. Drawing on data from 450 organizations across Indonesia, Malaysia, Thailand, Vietnam, and the Philippines, we investigate how SHRM practices influence organizational outcomes through mediating mechanisms of innovation capabilities and organizational resilience. Using structural equation modeling (SEM), our findings reveal that SHRM practices significantly predict organizational performance (? = 0.68, p < 0.001), with innovation capabilities and resilience serving as key mediators. The study contributes to the SHRM literature by demonstrating that context-specific implementation of HR practices in emerging markets requires adaptation to local institutional environments, cultural norms, and workforce characteristics. Practical implications suggest that organizations operating in emerging markets should prioritize developing agile HR systems that balance global best practices with local responsiveness
The Role of Social Media Algorithms in Shaping Consumer Culture in the Digital Economy Fitriyanti, Elvira; Zuhriyah, Nabilaa Faizatuz
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/8gryv298

Abstract

The development of digital technology has made social media algorithms a dominant factor in shaping people's consumption behavior. This research aims to analyze the role of social media algorithms in creating consumer culture in Indonesia's digital economy era. Using a qualitative approach and an exploratory case study design, the study involved 18 participants consisting of active consumers, digital business actors, and digital culture experts. Data were collected through in-depth interviews, digital observation, and documentation, then analyzed using the Miles & Huberman interactive model through data reduction, data presentation, and conclusion drawing. The results show that social media algorithms influence consumer culture through three main mechanisms: personalized recommendation, viral loop effect, and cultural embedding. The majority of respondents admitted to trusting algorithmic recommendations more than manual searches, even encouraging more impulsive consumption behavior. Interviews with business actors revealed that algorithms accelerate trend cycles, create digital product hierarchies, and build consumer dependency. This research confirms that algorithms are not merely technical instruments but also cultural actors that shape consumption patterns and social identities. These findings have implications for digital business strategies, consumer literacy, and the formulation of consumer protection policies in the digital economy era.
Analysis of Financial Risk Profiles and Enterprise Risk Management Frameworks in Transit-Oriented Development Property Companies Astuti, Aurelia Widya
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/2thmqz63

Abstract

Indonesia's property industry faces increasing complexity of financial risks in the post-pandemic era, especially Transit-Oriented Development (TOD)-based companies that integrate property development with mass transportation infrastructure. This study aims to analyze the financial risk profile of PT Adhi Commuter Properti Tbk and identify an appropriate Enterprise Risk Management  framework to manage the risk of TOD property companies. The research adopts a quantitative approach with a case study design, analyzing the audited financial statements for the period March 31, 2025 through a comprehensive financial ratio analysis that includes four dimensions: profitability, debt repayment, operational efficiency, and growth strategy. The results of the study revealed an alarming financial risk profile with a Net Profit Margin of only 0.02%, Return on Assets 0.000236%, Return on Equity 0.000622%, a very low Quick Ratio at 9.94%, a high Debt to Equity Ratio of 1.64, an Asset Turnover of 1.02%, and a decrease in net profit of 99.77%. The findings confirm that the company faces significant liquidity risks, excessive leverage, low profitability, and weak operational efficiency that require urgent strategic intervention. The research identifies the need for the implementation of the COSO Enterprise Risk Management and Integrated Risk Management framework tailored to the unique characteristics of the TOD. Practical implications include restructuring capital structures, improving operational efficiency, strengthening liquidity management, and developing an early warning system based on Big Data technology to proactively detect potential financial distress and increase the financial resilience of TOD property companies in Indonesia.
Training the Trainer: Measuring the Long-Term Effectiveness of AI Upskilling Programs for Indonesian Educators Al Akromi, Elok Nur Affah
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/5975rm80

Abstract

Indonesia's national artificial intelligence (AI) education roadmap (2025–2045) positions teacher AI competency as foundational to its Golden Generation vision, yet the long-term effectiveness of AI upskilling programs for Indonesian educators remains empirically unexamined. This study aims to evaluate the extent to which AI-related competencies are retained over time, identify key factors influencing sustained AI integration among teachers, and compare the effectiveness of different upskilling programs across regional contexts. This longitudinal mixed-methods study measured the durability of AI competency gains among 347 in-service K–12 teachers across urban, peri-urban, and remote regional strata over four measurement waves: pre-intervention, immediate post-intervention, six-month follow-up, and twelve-month follow-up. Participants were drawn from two nationally deployed AI upskilling programs  Platform Merdeka Mengajar (PMM) and Microsoft Elevate   and assessed using a validated four-subscale questionnaire, semi-structured interviews, and structured classroom observation checklists. Results revealed a consistent "spike-and-decay" trajectory across all groups, with teachers retaining an average of only 63.5% of post-intervention competency gains at the twelve-month wave. Microsoft Elevate participants demonstrated significantly superior retention compared to PMM participants, and remote-stratum teachers experienced the steepest decay. Post-intervention AI self-efficacy, peer collaboration frequency, and perceived program relevance emerged as the strongest predictors of sustained behavioral integration. Qualitative findings identified infrastructure deficits, institutional isolation, curricular misalignment, and confidence erosion as primary disinvestment mechanisms. The study concludes that sustainable AI teacher competency requires a systems-level response encompassing mandatory post-training support, differentiated regional resourcing, and curriculum-embedded AI learning communities.
The Influence of Digital Financial Inclusion Strategy on Digital Economic Transformation of MSMEs in Indonesia Pramesti, Ginna Novarianti Dwi Putri
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jqepeb69

Abstract

The transformation of the digital economy has become one of the main drivers of economic growth in various developing countries, including Indonesia, where Micro, Small, and Medium Enterprises (MSMEs) play an important role in the national economic structure. However, many MSMEs still face limited access to formal financial services and digital technology that can support the business transformation process. This study aims to analyze the influence of digital financial inclusion strategies on the transformation of the MSME digital economy in Indonesia and identify the role of digital financial literacy, regulatory quality, and digital infrastructure in strengthening these relationships. This study uses a mixed-method approach by combining quantitative and qualitative methods. Quantitative data was obtained through a survey of 398 MSMEs in five provinces in Indonesia, while qualitative data was obtained through in-depth interviews and focus group discussions (FGD) with MSME actors and fintech stakeholders. Data analysis was carried out using Structural Equation Modeling (SEM) and thematic analysis to strengthen the interpretation of the research results. The results of the study show that the digital financial inclusion strategy has a positive and significant influence on the transformation of the digital economy of MSMEs, especially through the adoption of digital payments and fintech-based credit access. In addition, digital financial literacy has been proven to play a role as a mediating variable that strengthens the relationship, while the quality of regulation and digital infrastructure serves as a moderation factor that magnifies the impact of digital financial inclusion on the transformation of MSMEs. The implications of this study show that integrated policies between increasing access to digital financial services, strengthening digital financial literacy, and developing supporting infrastructure and regulations are essential to accelerate the digital transformation of MSMEs. This research makes an original contribution by offering an integrated analytical framework that connects digital financial inclusion, digital financial literacy, and institutional factors as the main drivers of the transformation of the MSME digital economy in developing countries.
Reorientation of Digital Platform-Based Business Models: Dynamic Analysis Capabilities and Ambidextrous Strategy for Transforming Indonesian State-Owned Enterprises into a Digital Ecosystem Fransisca, Vika
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 12 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/ryxyb493

Abstract

Digital transformation has pushed Indonesian State-Owned Enterprises (SOEs) to reorient their business models toward digital platforms to address technological disruption and increasingly complex market dynamics. However, this change requires not only technology adoption but also strengthened organizational capabilities and adaptive strategies. This study aims to analyze how SOEs build and integrate dynamic capabilities ( sensing, seizing, transforming ) and implementing ambidextrous strategy in an effort to reorient business models towards a digital ecosystem. The study used a qualitative case study approach with five strategic state-owned enterprises as the objects, involving in-depth interviews, internal document studies, and observations of digital strategy implementation. The results show that sensing and seizing capabilities are fundamental in responding to digital opportunities, but the transformation phase faces significant challenges related to bureaucratic structures and organizational culture. Furthermore, an ambidextrous strategy proved crucial in maintaining a balance between exploring digital innovation and exploiting core competencies. State-owned enterprises that are able to implement this strategy in a structured manner demonstrated higher success in building an inclusive, adaptive, and sustainable platform ecosystem. This study provides a conceptual contribution to the public sector digital transformation literature and offers practical guidance for stakeholders in managing the business transition towards a digital ecosystem-based model.

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