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Journal Economic Business Innovation
Published by PT Inovasi Analisis Data
ISSN : 30474108     EISSN : 30483751     DOI : 3048-3751
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
Journal Economic Business Innovation (JEBI) accepts papers/articles in the field of Economics Business Multidisciplinary Innovation as follows: 1. Accounting Innovation Financial Accounting Management Accounting and Information Systems Public Accounting Auditing Islamic Accounting Banking Tax Accounting Cost Accounting Forensic Accounting Governmental Accounting Environmental Accounting International Accounting Nonprofit Accounting Ethics in Accounting Accounting Information Systems Corporate Governance in Accounting Sustainability Accounting Behavioral Accounting Integrated Reporting Financial Statement Analysis 2. Management Innovation Finance Marketing Human Resource and Organization Strategic Management Entrepreneurship Operations Management Supply Chain Management Project Management Change Management Innovation Management Knowledge Management Risk Management Quality Management Performance Management Leadership and Management Development Corporate Social Responsibility (CSR) Diversity and Inclusion Management International Business Management Technology Management Talent Management 3. Multi-Discipline Advanced Innovation The scope includes market analysis, fiscal policy, consumer behavior, financial management, capital market investment, product development, digital economy, entrepreneurship, marketing strategy, international trade, environmental economics, corporate performance, economic development, employment, corporate finance, supply chain management, business innovation, health economics, human resource economics, and organizational behavior. With this diverse focus, the journal aims to be a platform for current research and discussion in economics and business relevant to global and local developments.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 87 Documents
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Economic Policy Stability, Digital Governance Capability, and Artificial Intelligence Innovation Performance Rizani, Ahmad; Darsono, Tri; Mohammed Sultan Saif, Gehad
Journal Economic Business Innovation Vol. 3 No. 1 (2026): April
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v3i1.342

Abstract

Purpose—This study examines how Economic Policy Stability, Digital Infrastructure Readiness, Research and Development Capability, and Artificial Intelligence Talent Capability influence Artificial Intelligence Innovation Performance. It assesses the mediating role of Digital Governance Capability in Indonesian manufacturing firms. Design/methodology/approach—This study uses a quantitative, explanatory approach grounded in Real Options Theory, Dynamic Capabilities Theory, the National Innovation System Theory, and the Resource-Based View. Data were gathered from 250 respondents in Indonesian manufacturing firms and analyzed with Partial Least Squares Structural Equation Modeling via SmartPLS 4. Findings—The results indicate that Economic Policy Stability, Digital Infrastructure Readiness, Research and Development Capability, and Artificial Intelligence Talent Capability each have a positive and significant impact on Artificial Intelligence Innovation Performance. Additionally, these factors also significantly enhance Digital Governance Capability. Moreover, Digital Governance Capability positively influences Artificial Intelligence Innovation Performance and partially mediates all the relationships proposed. Originality/value—This study advances AI innovation research by integrating policy stability, digital resources, R&D capacity, AI talent, and digital governance into a comprehensive model. It underscores Digital Governance Capability as a key strategic mechanism that converts institutional and organizational strengths into AI-driven innovation results. Implications—The findings indicate that manufacturing companies need to bolster AI innovation not just by investing in technology, but also by ensuring consistent policy support, improving digital infrastructure, advancing R&D, developing AI expertise, and implementing responsible digital governance.
ESG Disclosure and Firm Value Dynamics through Financial Performance Amelia, Rizky; Puspitasari, Diana; Nur Chasanah, Amalia; Prawitasari, Dian
Journal Economic Business Innovation Vol. 3 No. 1 (2026): April
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v3i1.343

Abstract

Purpose—This study examines how environmental, social, and governance (ESG) disclosure affects firm value. It also assesses the moderating roles of profitability and leverage in the relationship between ESG disclosure and firm value. Design/methodology/approach—This study adopts a quantitative explanatory approach. The sample comprises 61 manufacturing firms listed on the Indonesia Stock Exchange from 2021 to 2023, yielding 183 firm-year observations selected through purposive sampling. ESG disclosure is measured using Bloomberg ESG scores. Firm value is proxied by price-to-book value, profitability by return on assets, and leverage by the debt-to-equity ratio. Data are analyzed using Partial Least Squares Structural Equation Modeling in SmartPLS. Findings—ESG disclosure has a positive and significant effect on firm value. Profitability strengthens the relationship between ESG disclosure and firm value, suggesting that financially stronger firms provide more credible ESG signals to investors. Leverage also moderates the ESG disclosure–firm value relationship, though its effect is weaker than that of profitability. Originality/value—This research contributes to ESG and corporate finance literature by examining how profitability and leverage serve as moderating factors in the relationship between ESG disclosure and firm value. It emphasizes that the significance of ESG disclosure for firm value is influenced by financial performance and capital structure. Implications—The results indicate that companies should boost their ESG transparency, ensure robust profitability, and optimize leverage to increase market valuation.  
Determinants of Fintech Usage among University Students: The Roles of Personal Financial Management, Consumptive Behavior, and Investment Interest Isma Tersa Septiani; Setyani Sri Haryanti; Yenni Khristiana
Journal Economic Business Innovation Vol. 3 No. 1 (2026): April
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v3i1.351

Abstract

Purpose—This study examines the influence of personal financial management, consumptive behavior, and investment interest on fintech usage among university students. The study aims to provide empirical evidence on the behavioral and financial factors that shape students’ adoption and use of digital financial services. Design/methodology/approach—This study adopts a quantitative explanatory design. Primary data were collected through a structured questionnaire distributed to 100 active university students who had experience using fintech services. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS to evaluate the measurement model, structural model, and hypotheses. Findings—The results show that personal financial management has a positive but insignificant effect on fintech usage. In contrast, consumptive behavior and investment interest have positive and significant effects on fintech usage. The model explains 25.9% of the variance in fintech usage, indicating that students’ fintech usage is driven more by consumption-related behavior and investment motivation than by personal financial management capability. Originality/value—This study contributes to the digital financial behavior literature by integrating personal financial management, consumptive behavior, and investment interest into a single fintech usage model. Implications—Universities, fintech providers, and policymakers should strengthen digital financial literacy, spending control, investment education, and risk awareness among students.
Deceptive Product Fulfillment, Trust Violation, and Consumer Platform Switching Putri Rahayu; Ratna Komala Putri
Journal Economic Business Innovation Vol. 3 No. 1 (2026): April
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v3i1.364

Abstract

Purpose – This study investigates how deceptive product fulfillment influences consumer platform switching in digital marketplace platforms. Specifically, it examines the effects of product misrepresentation, information asymmetry, seller opportunism, and marketplace promise breach on switching behavior through post-purchase trust violation. Design/methodology/approach – The study adopts a quantitative explanatory survey design using a structured questionnaire. Regression and mediation analyses were applied to examine direct and indirect relationships among deceptive fulfillment perceptions, trust violation, and consumer platform switching. Findings – The findings show that product misrepresentation, information asymmetry, seller opportunism, and marketplace promise breach increase post-purchase trust violation. Trust violation subsequently increases consumer platform switching, confirming its central role in explaining post-purchase behavioral responses. Product misrepresentation and seller opportunism also exert direct effects on switching behavior, whereas information asymmetry and marketplace promise breach operate mainly through trust violation. Originality/value – This study integrates product deception, trust violation, and platform switching into a unified model of e-commerce behavior. It extends post-purchase research beyond satisfaction-based explanations and offers a platform governance perspective on how deceptive fulfillment damages consumer trust and encourages switching behavior.
Boosting Higher Education Learning Outcomes: The Structural Impact of Adaptive Gamified Environments on Students’ Cognitive Skills Widya Darwin; Yogi Dian Alfana; Melri Deswina; Jusmardi; Novi Febrianti
Journal Economic Business Innovation Vol. 3 No. 1 (2026): April
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v3i1.365

Abstract

Purpose—This study examines the effectiveness and structural impact of adaptive gamified learning environments on students’ computational thinking and real-world problem-solving in higher education. It specifically investigates whether Scratch-based adaptive gamification improves learning achievement and whether computational thinking contributes to students’ ability to solve authentic and complex problems. Design/methodology/approach—This study employed a quasi-experimental nonequivalent control group design involving 60 undergraduate informatics students, equally divided into an experimental group receiving Scratch-based adaptive gamified instruction and a control group receiving conventional instruction. Learning outcomes were assessed using pre-tests, post-tests, project-based assessments, and structured classroom observations. Descriptive statistics and Pearson’s chi-square test were used to evaluate academic achievement, while Partial Least Squares Structural Equation Modeling was applied to examine the structural relationships among adaptive gamification, computational thinking, and real-world problem-solving. Findings—The experimental group’s mean score increased from 65.30 in the pre-test to 84.70 in the post-test, representing a gain of 19.40 points, whereas the control group’s mean score increased from 64.90 to 72.50, representing a gain of 7.60 points. Pearson’s Chi-Square test confirmed a statistically significant association between the instructional method and categorized academic achievement, χ²(1, N = 60) = 5.690, p = .017, with Cramér’s V = .308. The structural model further showed that computational thinking positively affected real-world problem-solving (β = .301, p = .006), while adaptive gamification exerted a stronger positive direct effect on real-world problem-solving (β = .553, p < .001). However, the mediating role of computational thinking requires confirmation through a bootstrapped specific indirect-effect analysis. Originality/value—This study integrates quasi-experimental evidence of instructional effectiveness with PLS-SEM-based structural validation in a unified analytical framework. It extends adaptive gamification research beyond motivation, participation, and general academic achievement by focusing on higher-order cognitive outcomes and positioning Computational Thinking as a potential cognitive pathway connecting adaptive learning experiences with real-world problem-solving. Implications—Higher education institutions, lecturers, instructional designers, and educational technology developers should implement adaptive gamification as an integrated instructional system rather than as a superficial collection of rewards. Personalized challenges, progressive task difficulty, diagnostic feedback, repeated experimentation, and authentic project-based scenarios should be aligned with learning objectives to strengthen computational reasoning and transferable problem-solving capabilities.  
Form Over Substance? Ineffectiveness of Good Corporate Governance in Family-Controlled Firms Yuliani; Eddy Suratman; Giriati
Journal Economic Business Innovation Vol. 3 No. 1 (2026): April
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v3i1.366

Abstract

Purpose — This study examines whether family ownership concentration explains why Good Corporate Governance (GCG) mechanisms may fail to improve financial performance in listed non-financial firms operating within a concentrated-ownership environment. Design/methodology/approach — Using panel data, ultimate family ownership is classified through an internationally established voting rights threshold. Interaction models assess whether family control alters the relationship between formal governance structures and accounting performance, with alternative specifications and robustness procedures used to evaluate the stability of the results. Findings — Formal governance compliance has no significant direct relationship with financial performance, and this finding remains stable across alternative specifications. The moderating role of family ownership is directionally consistent with a weakening effect but is not robustly significant. Family-controlled firms also exhibit substantially weaker formal governance structures than non-family firms without a corresponding performance penalty. Originality/value — This study integrates principal–principal agency theory with institutional decoupling theory to explain why formal oversight mechanisms may remain detached from substantive control in concentrated-ownership markets. Its population-level classification of ultimate ownership extends the “form over substance” thesis from a family-firm-specific phenomenon to a systemic characteristic of governance regimes dominated by controlling shareholders.
Artificial Intelligence in Economic Business: A Systematic Review and Future Research Agenda Andri Octaviani
Journal Economic Business Innovation Vol. 2 No. 4 (2026): January
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v2i4.367

Abstract

Purpose - This study systematically reviews the development, intellectual structure, theoretical foundations, and future research directions of artificial intelligence (AI) in economic business research. Design/methodology/approach - The study employs a hybrid systematic literature review design that combines bibliometric and content analyses. Bibliometric analysis was conducted on 1,970 articles indexed in the Web of Science Core Collection from 1990 to June 2024. In-depth content analysis was then performed on 110 empirical articles published in Q1/Q2 journals. The analysis covers AI application categories, research topics, guiding theories, methodologies, and research contexts. Findings - The findings identify four dominant AI application domains: market prediction and risk management, marketing and customer analytics, process automation and supply chain optimization, and strategic decision-making and HR analytics. The literature is highly concentrated in data-rich sectors such as banking, fintech, e-commerce, and retail. Most studies emphasize system design, algorithmic performance, and predictive accuracy, while theory-driven, longitudinal, governance-oriented, and context-sensitive research remains limited. Only a minority of empirical studies explicitly applies established theories, indicating a need for stronger integration between computational performance and business, organizational, and socio-technical mechanisms. Originality/value - This study contributes by integrating large-scale bibliometric mapping with manual content analysis to provide a comprehensive synthesis of AI-economic business research. It proposes a future research agenda focused on generative AI, explainable AI, human-AI collaboration, theory-driven inquiry, and long-term societal impacts.

Page 9 of 9 | Total Record : 87

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