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JIMEB: Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis
Published by Universitas Sains Dan Teknologi Komputer
ISSN : 28091655     EISSN : 28091981     DOI : 10.51903
Core Subject : Economy,
Economics, Econometrics & Finance
JIMEB is published three times a year—in January, May, and October—and welcomes original research articles, literature reviews, and conceptual papers written in Bahasa Indonesia or English. The journal serves as a platform for scholars, researchers, practitioners, and students to contribute and share insights that advance the understanding and practice in the following areas: Strategic and Operational Management Human Resource Management Financial and Investment Analysis Marketing Management and Consumer Behavior Entrepreneurship and Innovation Organizational Behavior and Leadership Business Information Systems and E-Business Development Economics and Public Policy Microeconomics and Macroeconomics Sustainable Business Practices and Corporate Governance JIMEB prioritizes submissions that offer theoretical contributions, empirical findings, or practical relevance and that have not been previously published elsewhere. The journal encourages interdisciplinary approaches that bridge business, economics, and technology.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 127 Documents
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Analysis of the Impact of Financial Literacy on Millennial Investment Behavior in the Digital Era Nas, Arham Bin Irham; Iksanudin, Udin; Poetri, Iin Priany
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 2 (2025): MEI| JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/bst98056

Abstract

The rise of digital technology has influenced Indonesian millennials' financial behavior, especially in digital investment. However, wider access to financial products is not matched with adequate understanding, often leading to impulsive decisions. This highlights the gap between financial inclusion and financial literacy, making it crucial to study how literacy affects investment behavior in the digital era. This research examines how millennial financial literacy impacts investment behavior and how the digital environment moderates this effect. A quantitative method was used with data from 200 millennials engaged in digital investment, collected through an online questionnaire. Data were analyzed using multiple linear regression and moderated regression analysis (MRA). Results show that financial literacy significantly and positively influences investment behavior (p < 0.001). Moreover, the digital era strengthens this effect—active use of fintech and online communities amplifies the impact of financial literacy on rational investment choices. Financial literacy, investment behavior, and digital factors are interlinked. The study's findings are valuable for developing digital-based financial education and designing investment platforms that both guide and align with millennial traits.
Adoption of Generative AI in Business Decision-Making: Opportunities, Risks, and Strategic Readiness in Emerging Markets Sabrina, Putri Sheila Maria; Mahdalina, Maria; Anjani, Selvi Maria
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 2 (2025): MEI| JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jf7z6s73

Abstract

The rapid evolution of Generative AI has opened up numerous possibilities to enhance organizational decision-making through improved operational efficiency, innovation, and data analysis accuracy. However, companies in developing countries face challenges such as underdeveloped digital infrastructure, labor shortages, data security risks, and regulatory uncertainty. These factors create a gap between theoretical benefits and practical implementation. This study explores opportunities, key risks, and organizational readiness for Generative AI adoption in business decision-making within developing countries. Using a mixed-method sequential design, phase I involved a quantitative survey of 120 companies across five nations, while phase II included interviews with 15 key informants. Data were analyzed using Structural Equation Modeling and NVivo, with interactive visualization aiding in framework development. Findings indicate that Generative AI could improve decision-making efficiency by 89% and reduce operational costs by 15%. Top risks include data security (score: 4.41) and regulatory ambiguity (score: 4.27). Organizational readiness was high in managerial support (score: 4.01) but low in internal regulation (score: 3.67). The proposed Strategic Generative AI Adoption Framework integrates innovation diffusion, risk management, and readiness, offering practical insights for adaptive AI adoption in developing countries.
The Role of Digital Financial Intelligence in the Economic Resilience of MSME Actors Post-Crisis Abin, Mohammad; Taufik, Mohammad; Zaenuddin, Ahmad
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 2 (2025): MEI| JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/s7wfhv13

Abstract

On the one hand, amid the digital transformation of the financial sector, opportunities have increased for Micro, Small, and Medium Enterprises (MSMEs); on the other hand, challenges remain in technology adaptation and sustainable financial management, especially in a post-crisis era. Thus, given the ongoing push toward strengthening economic resilience, an urgent need arises to examine how far digital financial intelligence may act as a key for the survival and growth of MSMEs. The focus of this study is to examine the impact of digital financial intelligence-the financial literacy, attitude toward financial technology, and capability to use digital financial applications-on MSME economic resilience. Data were collected for the survey using a quantitative approach, which consisted of an online questionnaire administered to 220 MSME actors in Indonesia, who were digital financial services users for a minimum of one year. Participants were selected based on purposive sampling, while data analysis was performed using Structural Equation Modeling (SEM) based on Partial Least Squares (SmartPLS) supported by SPSS, Tableau, and MonkeyLearn. The results of the analysis reveal that all dimensions of digital financial intelligence have a significant relationship with economic resilience, particularly in the tactile domains of crisis adaptation, recovery, and strategic decision-making. Overall, these results now show life documents the need for greater emphasis on literacy and digital readiness as the bedrock of MSME sustainability. This academic contribution is theoretically developing an integrated model of technology and finance while practically implementing the policy implications that would strengthen an inclusive and adaptive MSME digital ecosystem.
Strategic Integration of Artificial Intelligence in Manufacturing Processes: Enhancing Sustainability and Efficiency Gofur, Andi; Satrio, Eko; Wicaksono, Fajar Adji
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 2 (2025): MEI| JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e5v7qt70

Abstract

Digital transformation drives manufacturing companies to adopt artificial intelligence (AI) as a strategy to improve operational efficiency and competitiveness. However, the effectiveness of AI integration is influenced not only by technological readiness but also by internal organizational capabilities and external environmental pressures. This study aims to analyze how technological, organizational, and environmental factors contribute to the successful implementation of AI in the manufacturing sector, emphasizing the unique dynamics in developing countries such as Indonesia. This study uses a mixed methods approach with a sequential explanatory design. Quantitative data were collected through surveys of 85 respondents from various manufacturing companies in Indonesia, including operational managers, information technology managers, and professionals related to AI implementation. Analysis was conducted using PLS-SEM to test the relationships between variables. Subsequently, qualitative data were obtained through in-depth interviews with 10 key informants who have direct experience in AI planning and integration in their companies. The results show that organizational factors, especially managerial support and human resource competence, play the most significant role in driving the success of AI integration. Aspects of transformational leadership and work culture readiness also emerge as determining factors for the sustainability of adoption. This study expands the application of TOE and RBV theories in the context of developing countries and provides practical implications for the industry in formulating more adaptive and contextual technology adoption strategies.
The Impact of Digital Burnout on Organizational Citizenship Behavior (OCB) among Remote Workers Nurhayati, Aliah; Zamzami, Shidqi; Jannah, Lia Nur
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 2 (2025): MEI| JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/6j0mr862

Abstract

The development of digital technology has transformed the work landscape, especially with the increasing prevalence of remote work systems in Indonesia’s digital sector. However, the high intensity of technology use in the remote work context also poses the risk of digital burnout, which is mental and emotional exhaustion due to excessive exposure to technological demands. This phenomenon potentially affects employee behavior, including extra-role behaviors known as Organizational Citizenship Behavior (OCB). This study aims to explore the relationship between digital burnout and OCB among remote workers in the digital sector, while also understanding how technological pressure influences work dynamics and employee contributions beyond formal tasks. The research method uses a quantitative approach with purposive sampling technique, targeting 150 to 300 remote workers who work at least three days per week and heavily rely on digital platforms such as Zoom, Slack, and Google Workspace in their daily activities. Data were collected through online surveys and analyzed using SmartPLS to test the relationships between variables with Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that although digital burnout is quite prevalent, employees still demonstrate positive OCB, indicating the presence of adaptation mechanisms and strong organizational commitment. These findings enrich the understanding of how remote workers manage technological pressure while maintaining extra contributions in a dynamic digital work environment. The contribution of this study lies in providing new insights into the interaction between digital burnout and OCB in the digital work era, as well as practical implications for human resource management in designing strategies to support the well-being and productivity of remote employees. This study encourages the development of more humane and sustainable work policies in facing the challenges of digital transformation.
Economic Management Strategies in Virtual Platforms and the Metaverse Razak, Farhat Abdul; al-Ikhsan, Hussein; Sriasih, Sutriani Dewi; Nafir, Mohammad Akbar; Hilal , Fikri
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 2 (2025): MEI| JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/a8x6fw54

Abstract

The metaverse has emerged as a new domain within the digital economy, offering decentralized and participatory ecosystems driven by digital assets such as NFTs, tokens, and cryptocurrencies. Platforms like Decentraland, Roblox, and The Sandbox represent varied models of economic governance and user engagement. However, effective economic management strategies in these virtual environments remain underdeveloped. This study explores how the three platforms manage digital economies, focusing on asset governance, community incentives, and risk dynamics. Using an exploratory qualitative approach, data were collected through semi-structured interviews and document analysis, and then thematically analyzed using NVivo software. Results show decentraland emphasizes DAO-based transparency, Roblox relies on centralized monetization, and The Sandbox balances both in a hybrid model. The study concludes that successful economic strategies in the metaverse require integrating governance structures, incentive mechanisms, and social user interaction. These findings offer insights for building more adaptive, inclusive, and sustainable digital economic frameworks in virtual ecosystems.
Emotional Intelligence in Managerial Economic Decision-Making Aida, Iqlillah Nur; Muhammad, Faishal; Anjani, Andi Dwi
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 2 (2025): MEI| JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/qtjj2s79

Abstract

In today’s complex organizational environment, Emotional Intelligence (EI) plays a critical role in shaping the quality of economic decision-making by managers. This study investigates how the dimensions of EI—namely self-awareness, emotional regulation, and empathy—influence strategic decision processes across various industries. Using a descriptive qualitative approach with thematic analysis, data were gathered from semi-structured interviews with 10 senior managers, supported by observations and organizational documents. The findings reveal that EI serves as an internal mechanism that stabilizes cognitive processes under organizational pressure, reduces decision bias, and enhances the social legitimacy of economic decisions. The integration of EI fosters a balance between rational analysis and affective insight, leading to more ethical and adaptive decisions. This study offers an integrative model connecting EI dimensions with key stages of economic decision-making and provides practical implications for managerial training and organizational policy. It advocates for interdisciplinary approaches to better understand emotionally-informed economic behavior.
Consumer Perceptions of Sustainability Labels on Fashion Products and Their Influence on Purchase Intention Priyanto, Agung Wicaksono; Putri, Rizky Amalia; Qosidah, Nanik
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 3 (2025): OKTOBER | JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/k9zmt935

Abstract

The fashion industry ranks amongst the sectors with the most environmental impacts. Hence, companies are adopting sustainable practices, such as sustainability labeling. Yet, bridging the positive attitudes of consumers with their actual purchasing behavior (the attitude-behavior gap) is a major hurdle facing this industry, especially in Indonesia. This study investigates consumers' perceptions toward sustainability labels in terms of clarity, credibility, and trust, as well as their effects on consumers' intentions to purchase sustainable products in fashion. This research followed a mixed-method approach constructed in a sequential explanatory design. Quantitative data were collected from 350 respondents via an online survey, and analyzed using SEM-PLS, while qualitative data were obtained through semi-structured interviews with 15 participants, followed by thematic analysis. Results show that all dimensions of perception are significant determinants of purchase intention (R² = 0.58). As a dominant factor, label clarity has a greater impact than both credibility and trust. Qualitative results confirm that clear and interpretable labeling raises consumer confidence toward the purchase of sustainable products, even if the issue of greenwashing creates doubt. The contribution of this study is to conceptualize and demonstrate, within a developing-country context that remains underexplored, that sustainability labels indeed shape consumer attitudes and directly influence actual purchasing. The industry should focus on designing simple, credible, and verifiable labels, while policymakers would also benefit from these insights as a foundation to formulate national labeling standards in order to increase public trust in and promote sustainable consumption.      
The Influence of Digital Literacy and Social Media Utilization on the Marketing Performance of E-Commerce-Based MSMEs in Indonesia Lestari, Dewi Ayu; Setyawan, Rachmat; Wibisono, Gunawan; Abidin, Muhammad Zainal
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 3 (2025): OKTOBER | JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/gq47ng96

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are a major contributor to Indonesia's economy, but they still struggle to adapt to the digital and social media environments. The thrust of this research stems from the observation that, despite e-commerce being a clear-cut, wide-open opportunity for MSME activity, the general level of digital literacy and social media optimization among MSMEs is quite low. This study aims to examine how digital literacy and social media use influence marketing performance among e–commerce–based MSMEs in Indonesia. A mixed-method explanatory sequential approach was used in the study, which involved a quantitative survey of 150 MSMEs and in-depth interviews with 15 MSME owners. Quantitative data were analyzed using multiple linear regression, and qualitative data were examined through thematic analysis. This data indicates that digital literacy (β = 0.312; p < 0.05) and social media use (β = 0.428; p < 0.05) have significant effects on marketing performance, with an R² value of 0.56. Social media is the dominant factor in expanding market reach, while digital literacy improves MSMEs' capacity to manage technology-based marketing. The main contribution of the study is the joint analysis of digital literacy and social media, which have mostly been studied separately in prior research. The findings showed that digital literacy should be seen as the foundation, while social media is the primary tool for marketing. In practice, the research offers recommendations for MSMEs, policymakers, and business facilitators on designing integrated training programs that combine digital skills with online promotion strategies.
The Influence of Marketplace Algorithm Transparency on Consumer Trust and Online Purchasing Decisions in Indonesia Erwinda, Maria; Asriyanti, Yohana
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 3 (2025): OKTOBER | JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/2cbhsh36

Abstract

The rapid growth of digital marketplaces in Indonesia has raised critical issues regarding consumer trust in algorithmic recommendation systems that operate invisibly. This study aims to examine the influence of marketplace algorithmic transparency on consumer trust and online purchase decisions in Indonesia. A quantitative explanatory approach was applied through a survey of 250 active users from leading marketplaces such as Tokopedia, Shopee, and Lazada.Data were examined using Partial Least Squares–Structural Equation Modeling (PLS-SEM) technique through the support of SmartPLS 4.0 software. Results showed that algorithmic transparency has a significant and positive influence on consumer trust, and consumer trust partially mediates the relationship between algorithmic transparency and online purchase decision. High predictive power of the model is evidenced by the R² score of 0.63 and Q² of 0.41. These findings highlight that not only does digital transparency heighten digital trust, but also strengthens consumer loyalty on online marketplaces. The contribution of this study is that it empirically validates the association among algorithmic transparency, trust, and buying behavior under the distinct digital culture in Indonesia, and provides practical implications for marketplace managers to promote ethically open and responsible AI-based recommendation systems.

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