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Advancing E-commerce Smart-PLS as a Catalyst for Improved Online Shopping Services Alwiyah; Victorianda; Bennet, Daniel
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.v2i2.540

Abstract

In the fast-paced world of e-commerce, the adoption of advanced methodologies and technologies is vital to address the increasing demands and challenges of online shopping services. This paper examines the transformative impact of Partial Least Squares Structural Equation Modeling (Smart-PLS) on e-commerce. Smart-PLS is a powerful tool that offers a robust framework for analyzing and enhancing various aspects of e-commerce, such as customer experience, service quality, and business performance. This study explores how Smart-PLS facilitates a data-driven decision-making approach, resulting in better user experiences, optimized supply chains, and improved business strategies. The abstract underscores the importance of Smart-PLS as a revolutionary tool in the e-commerce sector, enabling businesses to adapt, innovate, and succeed in the digital marketplace. It highlights the potential of Smart-PLS to shape the future of online shopping services and stresses the necessity of its adoption for maintaining competitiveness in the ever-changing e-commerce landscape.
Navigating the Challenges of Digital Transformation in Traditional Organization Maratis, Jerry; Ramadan, Ahmad; Rahmania Az Zahra, Achani; Ahsanitaqwim, Ridhuan; Bennet, Daniel
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.v8i3.2349

Abstract

Digital transformation has become a critical strategy for traditional organiza- tions to maintain competitiveness in an increasingly technology-driven market. Technologies such as fintech, blockchain, artificial intelligence (AI), and cloud computing have significantly reshaped operational efficiency and customer en- gagement within these organizations. However, traditional organizations, characterized by their legacy systems and hierarchical structures, encounter various challenges in adopting these technologies. This study primarily aims to explore the key barriers that hinder digital transformation in traditional organizations and to propose effective strategies for overcoming these challenges. Utilizing a comprehensive literature review from 2018 to 2023, this research examines key studies on digital transformation in traditional business contexts. The find- ings reveal major challenges, including organizational inertia, skills gaps, de- pendency on outdated systems, and leadership deficiencies. To address these barriers, the study proposes strategies such as leadership development, work- force retraining, and investment in modern digital infrastructure. The results suggest that successful digital transformation requires a multifaceted approach, aligning technological adoption with organizational culture and sustainability goals. This research provides valuable insights for traditional organizations nav- igating the complexities of digital transformation.