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Enhancing Circular Economy with Digital Technologies: A PLS-SEM Approach Williams, Jack; Prawiyogi, Anggy Giri; Rodriguez, Miguel; Kovac, Ivan
International Transactions on Education Technology (ITEE) Vol. 2 No. 2 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v2i2.590

Abstract

This study investigates the transformative potential of the digital economy in fostering the principles of a circular economy. Utilizing the SmartPLS methodology, we explore key determinants that drive the transition towards a sustainable economic framework and assess their impacts on both environmental sustainability and economic resilience. Our analysis highlights that the integration of digital technologies, such as IoT, blockchain, and AI, within circular economy practices can significantly enhance resource efficiency, reduce waste, and promote sustainable economic growth. These technologies enable better tracking and management of resources, facilitating closed-loop systems that are essential for a circular economy. However, our findings also identify substantial challenges, including concerns over data security, digital divide, and unequal access to advanced technologies, which may hinder the equitable distribution of benefits. The study underscores the importance of an integrated policy approach that combines technological innovation with supportive regulatory frameworks to address these challenges and maximize the benefits of digital integration. Policymakers are encouraged to develop strategies that not only foster technological advancements but also ensure inclusive access and address security issues. This research provides comprehensive insights for stakeholders, including governments, businesses, and academia, in designing effective strategies and policies aimed at promoting a sustainable circular economy in the digital era. By aligning digital advancements with circular economy principles, we can pave the way towards achieving sustainable development goals and creating a resilient economic future.
Leveraging AI-Powered Automation for Enhanced Operational Efficiency in Small and Medium Enterprises (SMEs) Andayani, Dwi; Indiyati, Dian; Mayang Sari, Meri; Williams, Jack; Yao, Goh
APTISI Transactions on Management (ATM) Vol 8 No 3 (2024): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i3.2363

Abstract

This study explores the potential of AI-powered automation in enhancing opera- tional efficiency within Small and Medium Enterprises (SMEs). The primary objective is to identify how automation tools driven by artificial intelligence (AI) can streamline business processes, reduce operational costs, and improve productivity. The methodology includes a quantitative analysis of SMEs that have implemented AI-based solutions, supported by qualitative interviews with key stakeholders. The Results indicate significant improvements in operational workflows, particularly in areas such as supply chain management, customer service, and financial operations. The findings demonstrate that SMEs adopting AI technologies experience reduced human error, faster decision-making pro- cesses, and improved customer satisfaction. However, challenges such as initial investment costs and technical expertise remain. The study concludes that with proper implementation and strategic planning, AI-powered automation can be a key driver of success for SMEs in competitive markets.
Evaluating Risk Management Strategies in Fintech and Blockchain An Empirical Approach Hartono, Tri; Putri Oganda, Fitra; Williams, Jack
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2473

Abstract

The rapid growth of fintech and blockchain technologies has revolution- ized the financial sector, introducing innovative solutions but also posing unique risks. Managing these risks effectively is crucial for ensuring the stability and sustainability of these technologies. This study aims to evaluate the effective- ness of risk management strategies in fintech and blockchain sectors, focusing on identifying the most adopted strategies and assessing their impact on mitigating various risks. A quantitative research design was employed, using surveys to collect data from industry experts in fintech and blockchain companies. The data were analyzed using Structural Equation Modeling (SEM) with SmartPLS software to assess the relationships between risk management strategies and or- ganizational outcomes. The findings revealed that cybersecurity protocols, reg- ulatory compliance programs, and smart contract audits are the most commonly adopted risk management strategies. The study found that blockchain companies prioritize smart contract audits, while fintech companies focus more on cyber- security and regulatory compliance. Effective risk management strategies are crucial for the growth and stability of fintech and blockchain sectors. The study recommends that companies integrate advanced technologies and prioritize reg- ulatory compliance to mitigate risks and enhance trust.