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Untung Rahardja
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Startupreneur Business Digital (SABDA Journal)
Published by Pandawan Sejahtera Indonesia
ISSN : 29620279     EISSN : 29620260     DOI : https://doi.org/10.33050/sabda
Core Subject : Economy, Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education
Startupreneur Business Digital (SABDA) is an open access scientific journal published by Pandawan Incorporation hosted by Alphabet Incubator. SABDA publishes original scientific research from scholars and experts around the world with novelties based on theoretical, experimental and numerical frameworks. This journal is published every April and October with the aim of making an important contribution to the whole world through the publication of original and high-quality research articles in the field of Entrepreneurship, and Digital Business.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 92 Documents
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Integrating Scientific Data Analytics into Digital Business Strategy Kursih Sulastriningsih; Imella Annisah; Lista Meria; Alexander Chou Kiboy
Startupreneur Business Digital (SABDA Journal) Vol. 5 No. 2 (2026): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v5i2.1076

Abstract

Amid the increasing complexity of the contemporary digital economy, organizations face growing challenges in transforming large volumes of data into actionable strategic insights. While data analytics has become an essential component of digital business operations, the integration of scientific analytical principles into strategic decision-making remains insufficiently explored. This study aims to develop a conceptual framework for integrating Scientific Data Analytics (SDA) into digital business strategy by synthesizing insights from strategic management and data analytics literature. Using a qualitative approach based on literature review and thematic content analysis, this study examines how analytical methods such as causal inference, predictive analytics, and evidence-based management can support strategic planning and organizational decision-making. The analysis identifies several key themes, including organizational alignment, analytical capability development, data governance, and the role of evidence-based decision-making in enhancing strategic adaptability. The study further highlights potential challenges related to organizational resistance, data quality, and algorithmic bias that may affect analytics adoption. Theoretically, this research contributes by proposing an integrated conceptual framework that connects data analytics capabilities with strategic management processes. Practically, the study offers conceptual guidance for managers and decision-makers seeking to strengthen data-informed strategic planning in digital business environments. The findings provide a foundation for future empirical research examining the relationship between scientific analytics integration and organizational performance.
Optimizing the SOR Method for Purchasing Decisions of Fashion Startupreneur on the Shopee Live Feature Nuke Puji Lestari Santoso; Mardiana Mardiana; Risma Nurmala; Andzelika Birgithri; Euis Siti Nur Aisyah
Startupreneur Business Digital (SABDA Journal) Vol. 5 No. 2 (2026): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v5i2.1121

Abstract

The rapid growth of social commerce in Indonesia has opened wide opportu- nities for fashion business owners to leverage social commerce tools built into e-commerce platforms as a means of steering how consumers reach their buying choices. This study aims to examine how three core dimensions of social commerce interactivity, social presence, and informativeness affect fashion purchase decisions on the Shopee platform, using perceived value and emotional trust as mediating factors under the Stimulus Organism Response (SOR) framework. A further aim is to determine whether cognitive or affective processes play a greater role in shaping consumers’ decisions to buy fashion items online. Data were collected from Indonesian Shopee users who had previously bought fashion products from stores run by startup founders, and the data were then analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings supported all of the proposed relationships. Both informativeness (β = 0.553) and interactivity (β = 0.383) showed a positive impact on perceived value, whereas social presence (β = 0.677) had a substantial positive effect on emotional trust. In turn, perceived value (β = 0.506) and emotional trust (β = 0.202) each positively influenced purchase decisions. The proposed model accounted for 74.7% of the variance in perceived value and 45.6% of the variance in purchase decisions, indicating that the cognitive route via perceived value carried more weight than the affective route via emotional trust in driving online fashion purchases. Moreover, informativeness emerged as the most impactful social commerce factor in boosting both perceived value and purchase intention.

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