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Journal Economic Business Innovation
ISSN : 30474108     EISSN : 30483751     DOI : 3048-3751
Core Subject : Economy, Science,
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.
Articles 82 Documents
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.