Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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This Author published in this journals
All Journal West Science Interdisciplinary Studies Science Information System and Technology
Sopyan Sopyan
STIE Mahaputra Riau
Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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The Effect of Data-Based Targeting, Service Personalization, and Content Quality on Consumer Loyalty in E-Commerce in Jakarta Loso Judijanto; Sopyan Sopyan; Muhamad Ammar Muhtadi
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1624

Abstract

This study examines the influence of content quality, data-based targeting, and service personalization on consumer loyalty in Jakarta's e-commerce sector. Using a quantitative approach, data were collected from 150 respondents through a structured questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results reveal that content quality exerts the strongest influence on consumer loyalty, followed by data-based targeting and service personalization. Content quality enhances customer trust and satisfaction, while data-driven targeting effectively tailors marketing efforts to consumer preferences. Service personalization, though significant, has a smaller impact compared to the other variables. These findings emphasize the importance of integrating content quality, targeting, and personalization strategies to foster loyalty in the competitive e-commerce landscape. The study provides valuable insights for businesses aiming to optimize their marketing strategies and enhance customer retention in Jakarta’s dynamic digital marketplace.
Business Intelligence Research (2010–2026): A Scopus-Based Bibliometric Assessment of Publication Growth and Conceptual Development Loso Judijanto; Sopyan Sopyan; Rahmawati Rahmawati; Nikem Kurnia Ningsih; Tiwuk Herawati
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2812

Abstract

This study provides an overview of the evolution of research within the Business Intelligence (BI) domain between 2010 and 2026 by employing the bibliometric method based on the Scopus database. The study was aimed at discovering publication trends, prominent authors and organizations, collaboration structures, and evolution of the scientific concepts within the BI. Data analysis was performed using VOSviewer in order to create maps of co-authors' networks, citation structures, and keyword associations. The study revealed a growing tendency to publish works on the discussed topic, especially in the recent years, which indicates increased interest in data-driven decision-making processes. As far as co-authorship is concerned, cluster structures have been discovered; some authors served as central nodes of the network. Moreover, citations were used as the indicator of relevance of certain papers, and the results showed that interdisciplinary studies focused on artificial intelligence, machine learning, and big data became dominant. Finally, the topic analysis has shown that artificial intelligence has remained the focal point, while other interesting topics like behavioral analytics and generative artificial intelligence received increased attention.
Co-Authors Loso Judijanto Muhamad Ammar Muhtadi Nikem Kurnia Ningsih Rahmawati Rahmawati Tiwuk Herawati