Article Per Year (5 Year)
p-Index From 2021 - 2026
1.048
P-Index
This Author published in this journals
All Journal Aptisi Transactions on Management ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application
Marta Rodriguez
Eduaward Incorporation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Non Fungible Tokens (NFTs) Marketplaces and Their Economic Implications Semaria Eva Elita Girsang; Shaumiwaty; Muhammad Noval Aryansah; Mario Putra Sanjaya; Marta Rodriguez
Blockchain Frontier Technology Vol. 6 No. 1 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/b-front.v6i1.1060

Abstract

The development of blockchain technology has driven the emergence of Non Fungible Tokens (NFTs) as unique digital assets traded through specialized marketplaces, forming a new digital economic ecosystem. Despite the rapid growth of the NFTs market, issues such as price volatility, the dominance of speculative activities, and uncertainty regarding long-term economic value remain insufficiently understood in academic studies. This research aims to analyze the role of NFTs marketplaces in shaping the economic value of digital assets, identify the factors influencing NFTs price dynamics, and evaluate the economic implications of the NFTs market for creators, investors, and marketplace platforms. This study employs an empirical quantitative approach by utilizing NFTs transaction data obtained from the OpenSea API, NonFungible.com, and CryptoSlam. The variables analyzed include NFTs prices, trading volume, liquidity, creator reputation, rarity score, and asset category. Data analysis is conducted using statistical and econometric methods to identify price determinants and market dynamics. The results indicate that NFTs values are significantly influenced by scarcity levels, creator reputation, asset utility, and the visibility provided by marketplaces. Marketplaces play a crucial role in shaping liquidity and market expectations, but they also contribute to increased volatility and speculative tendencies. This study concludes that the NFTs market has the potential to generate real economic value, yet it continues to face risks related to speculation and instability. These findings contribute theoretically to the digital economics literature and provide practical implications for the development of a more sustainable NFTs ecosystem.
Orchestrating Big Data and Artificial Intelligence for Adaptive Digital Business Strategy Marviola Hardini; Sheila Aulia Anjani; Sherli Triandari; Fhia Amelia; Marta Rodriguez
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/qx8e0j55

Abstract

The rapid acceleration of digital transformation has changed the way organizations formulate and implement business strategies, requiring firms to become more adaptive, data-driven, and responsive to dynamic market conditions. This study aims to examine how big data and artificial intelligence can be orchestrated as integrated strategic capabilities to support adaptive digital business strategy. Using a qualitative conceptual approach, this study applies a structured literature review and thematic synthesis to analyze previous studies related to big data capability, artificial intelligence capability, governance mechanisms, intelligent business insight, and strategic adaptability. The results show that big data functions as a strategic foundation by providing diverse information from customers, markets, operations, and digital platforms, while artificial intelligence acts as an intelligent decision engine that transforms data into predictions, recommendations, automation, and actionable business insights. The findings also indicate that governance and human decision-making are essential in ensuring that the use of big data and AI remains reliable, transparent, accountable, secure, and aligned with organizational objectives. This study concludes that adaptive digital business strategy emerges from the continuous orchestration of data resources, AI systems, governance structures, human judgment, and strategic execution. The proposed framework contributes to digital business literature by explaining how AI-driven big data orchestration can improve decision quality, agility, competitiveness, innovation, operational efficiency, and sustainable digital value creation. In addition, the discussion is expanded to include cybersecurity, data privacy, secure data processing, and AI risk management as critical enablers of large-scale data-driven business systems.
Human Centered AI Integrating Ethical Psychological and Computational Perspectives for Inclusive Innovation Lina Nurjanah; Roby Syaiful Ubed; Prabawati Nurhabibah; Marta Rodriguez
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i1.2572

Abstract

The rapid evolution of Artificial Intelligence (AI) has reshaped social, economic, and cultural landscapes, yet its development often prioritizes technical efficiency over human values. This study proposes the Human-Centered AI Integration Framework, a multidisciplinary model that unites ethical, psychological, and computational perspectives to promote inclusive and responsible AI innovation. Employing a mixed-method and Design Science Research (DSR) approach, data were gathered from literature studies, user surveys, and AI system analyses to identify gaps between ethical principles, user perception, and algorithmic design. The proposed framework consists of three interrelated layers: the Ethical Layer, emphasizing fairness, accountability, and transparency; the Psychological Layer, focusing on trust, empathy, and human experience; and the Computational Layer, ensuring algorithmic integrity through bias mitigation and explainability. Evaluation results from interdisciplinary experts confirm that the model effectively bridges human values with technical implementation, enhancing trust, inclusivity, and transparency across AI systems. This research contributes to the growing discourse on responsible AI by providing a holistic foundation for designing systems that are not only intelligent and efficient but also empathetic, equitable, and aligned with human well-being.
Optimizing Employee Performance and Sustainability with Big Data and AI in Hospitality Asti Veto Mortini; Sri Wuli Fitriati; Rahayu Puji Haryanti; Sri Wahyuni; Marta Rodriguez
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.138

Abstract

This study explores the impact of Big Data and Artificial Intelligence (AI) on Employee Performance and Sustainability in the hospitality industry. By integrating Big Data and AI, hospitality businesses can optimize operations, enhance employee efficiency, and promote sustainable practices. The research uses SmartPLS to analyze the relationships between these variables, with a focus on how Big Data and AI influence Employee Performance, which in turn contributes to Sustainability efforts. The results show that both Big Data and AI have significant positive effects on Employee Performance, with Big Data demonstrating a stronger impact. Moreover, Employee Performance mediates the relationship between Big Data, AI, and Sustainability, indicating that improvements in employee performance lead to better sustainability outcomes, such as resource optimization and waste reduction. The study’s findings align with SDG 8 (Decent Work and Economic Growth) and SDG 12 (Responsible Consumption and Production), highlighting the potential of technology to drive both economic and environmental sustainability in the hospitality sector. This research contributes to understanding how the application of Big Data and AI can help hospitality businesses achieve long-term success through improved operational efficiency and sustainable practices
Risk Management Financial Distress Prediction and Earnings Management in Indonesian Banks Suhendra Suhendra; Limajatini Limajatini; Marta Rodriguez; Maulana Arif Komara
APTISI Transactions on Management (ATM) Vol 10 No 3 (2026): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i3.2655

Abstract

The risks faced by financial institutions, particularly banks, can influence financial performance, institutional stability, and managerial reporting behavior. As financial intermediaries and key institutions supporting economic growth, banks require effective risk management to maintain financial resilience. This study aims to examine the relationship between bank risk management, financial distress prediction, and earnings management practices in commercial banks listed on the Indonesia Stock Exchange. The study covers the 2019–2022 period, including pre-pandemic conditions, the COVID-19 disruption, and the early recovery phase. Using a quantitative approach with panel data regression analysis supported by EViews software, this study analyzes 27 commercial banks selected through purposive sampling based on complete annual report data. Bank risk management is represented by credit risk, market risk, liquidity risk, and operational risk, while financial distress and earnings management are measured using established financial models. The results show that credit risk does not significantly affect financial distress or earnings management. Market risk significantly affects earnings management but does not influence financial distress. Liquidity risk and operational risk significantly affect both financial distress and earnings management, while financial distress significantly influences earnings management. These findings highlight that liquidity and operational efficiency are important indicators for banking risk control, early warning systems, and transparent financial governance in Indonesian listed banks.
Analysis of Omni Channel Strategy in Digital Retail on Modern Indonesian Consumer Behavior: Analisis Strategi Omni Channel dalam Ritel Digital terhadap Perilaku Konsumen Indonesia Modern Farisha Andi Baso; Santa Lusianna Sitorus; Vivi Meilinda; Sheila Aulia Anjani; Marta Rodriguez
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1226

Abstract

The development of digital technology has driven a profound transformation in the retail industry, giving rise to the omni-channel strategy as a holistic ap proach to meet modern consumer expectations. This study aims to analyze the influence of online and offline channel integration on Indonesian consumer behavior in the context of digital retail. Using a qualitative approach through literature review and secondary data analysis, this study reveals that today’s In donesian consumers show a high preference for convenience, personalization, and speed of service in the shopping experience. An omni-channel strategy enables companies to provide a consistent, adaptive, and integrated consumer journey across various interaction points, which has a positive impact on customer loyalty and operational efficiency. Furthermore, the implementation of this strategy aligns with sustainability principles, particularly in supporting Sustainable Development Goals (SDGs) 9 (industrial and infrastructure innova tion) and point 12 (responsible consumption and production). These findings confirm that the success of digital retail in Indonesia is highly dependent on the ability of business actors to strategically manage channel integration, under stand evolving consumer behavior, and prioritize sustainability values in their operations.
Co-Authors Asti Veto Mortini Farisha Andi Baso Fhia Amelia Limajatini Limajatini Lina Nurjanah Mario Putra Sanjaya Marviola Hardini Maulana Arif Komara Muhammad Noval Aryansah Prabawati Nurhabibah Rahayu Puji Haryanti Roby Syaiful Ubed Santa Lusianna Sitorus Semaria Eva Elita Girsang Shaumiwaty Sheila Aulia Anjani Sheila Aulia Anjani Sherli Triandari Sri Wuli Fitriati Suhendra Suhendra Vivi Meilinda Wahyuni, Sri