Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Aptisi Transactions on Management ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Roby Syaiful Ubed
Polytechnic of State Finance STAN
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science

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Digital Business Transformation through Shopee’s Integrated Strategy in Global E-Commerce Dwi Andayani; Roby Syaiful Ubed; Sudadi Pranata; Ihsan Nuril Hikam; Abdullah Arif Kamal
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1334

Abstract

In the rapidly evolving landscape of global e-commerce, businesses are compelled to undergo digital transformations to remain competitive. This study delves into the digital business transformation journey of Shopee, a prominent player in the e-commerce realm, focusing on its integrated strategy amidst the global market. Despite extensive research on digital marketing, there remains a gap in comprehending how digital marketing strategies, customer experience, technological innovation, and digital marketing engagement synergize within the context of Shopee’s digital ecosystem. This study aims to address this gap by analyzing the interplay between these variables and their impact on digital marketing engagement. Employing Structural Equation Modeling (SEM) using SmartPLS version 4, the research scrutinizes key variables, namely Digital Marketing Strategies, Customer Experience, Technological Innovation, and Digital Marketing Engagement. The analysis is supported by insights synthesized from academic literature, industry reports, and empirical data. The findings provide valuable insights into how the integration of digital marketing strategies, technological innovation, and customer experience contributes to strengthening digital marketing engagement within Shopee’s platform. This study offers important implications for practitioners and scholars navigating the complexities of digital business transformation. However, while acknowledging the significance of these findings, it is important to note the study’s limitations, including sample size and potential biases inherent in self-reported data. Nevertheless, this research contributes to the ongoing discourse on digital marketing strategies by offering a nuanced understanding of the multifaceted dynamics shaping the global e-commerce landscape.
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.
Co-Authors Abdullah Arif Kamal Dwi Andayani Ihsan Nuril Hikam Lina Nurjanah Marta Rodriguez Prabawati Nurhabibah Sudadi Pranata