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Extending the Technology Acceptance Model (TAM) in E-Commerce: The Impact of AI Awareness, Usability, and Trust on Shopee Adoption Putri, Finola Fiftem Eka; Very, Jhon
YUME : Journal of Management Vol 8, No 2 (2025)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v8i2.8306

Abstract

This study examines the adoption of AI-driven features on the Shopee platform among undergraduate students majoring in Management at UPI YPTK Padang, utilizing the Technology Acceptance Model (TAM) with an extended framework that incorporates Perceived Trust as a moderating variable. A quantitative approach was employed, with 300 respondents selected through purposive sampling, and data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) via SmartPLS. The findings indicate that AI Awareness significantly influences Perceived Usefulness and Perceived Ease of Use, which in turn positively impact Attitude Toward Using and Behavioral Intention to Use AI-based features. While Behavioral Intention to Use did not significantly predict Actual System Use, Perceived Trust demonstrated a strong direct effect on Actual System Use and moderated the relationship between Behavioral Intention and Actual Use, reinforcing the crucial role of trust in AI adoption. These results suggest that while ease of use and perceived benefits drive AI acceptance, trust remains a fundamental enabler in ensuring consistent engagement with AI-driven e-commerce services. The study highlights the need for enhanced transparency, security, and user education to bridge the gap between behavioral intention and actual adoption. Future research should explore external barriers, risk perceptions, and user demographics to further refine AI adoption models in digital commerce. Keywords: Technology Acceptance Model (TAM), AI Awareness,  Perceived Trust, Shopee.
Blockchain and Supply Chain Efficiency: Implications for Managerial Economics Putri, Mardifa Wahyu; Chandini, Anggella; Putri, Finola Fiftem Eka; Andriadi, Jefri; Zefriyenni, Zefriyenni
Amkop Management Accounting Review (AMAR) Vol. 5 No. 1 (2025): January - June
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/amar.v5i1.2404

Abstract

This study aims to examine the relationship between blockchain technology, supply chain efficiency, and its implications for decision making within the framework of managerial economics. Through a literature study approach, this study reviews and synthesizes various related literature to map the conceptual contribution of blockchain integration in supply chain management. The study's results demonstrate that the characteristics of blockchain, namely decentralization, immutability, and transparency, have a significant impact on operational efficiency, transaction cost reduction, increased supply chain visibility, and risk management. From a managerial economics perspective, blockchain implementation enables more rational and efficient decision-making through reducing information asymmetry, optimizing resource allocation, and transforming market structures within the supply chain ecosystem. However, the adoption of this technology also presents several challenges, including high implementation costs, the need for standardization, and adjustments to organizational structures. This study provides a conceptual foundation for managers and policymakers to understand how blockchain can be a strategic tool for improving corporate competitiveness through supply chain transformation.