Article Per Year (5 Year)
p-Index From 2020 - 2025
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All Journal Dinasti International Journal of Education Management and Social Science Siber International Journal of Digital Business
Cholifah, Fismayatni
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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Impulse Buying Behaviors and Customer Trust During Twin Date Online Promotion: Using Prisma Method with Systematic Literature Review Cholifah, Fismayatni; Husen, Achmad; suparno, suparno
Dinasti International Journal of Education Management And Social Science Vol. 6 No. 3 (2025): Dinasti International Journal of Education Management and Social Science (Febru
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v6i3.3864

Abstract

This study aims to analyze the impact and relationship between impulse buying behaviors, customer trust, twin date online promotion, and promotion event in the marketing sector. Base on PRISMA method as a guideline with technical a systematic literature review, this study analyzed 20 scholarly articles published between 2018 and 2024 from various countries, focusing on the marketing segmentation with categories impulse buying behaviors, customer trust, and promotion event in e-commers marketing digital. To ensure the quality of the included studies, only articles indexes in Scopus Q1, Q2, Q3, and Q4 were considered using the Watase UAKE system. The objective of this study is to provide a comprehensive understanding of the context and theoretical foundations employed in these studies. Regarding theoretical foundations, Theory of Planned Behavior and Elaboration Likelihood Model used in marketing to understand and influence customer behavior. The finding of this study is expected to contribute to the development of more effective policies for enhancing the impulse buying behaviors and customer trust during twin date online promotion. The results of the study show that promotion event marketing such as during twin date online promotion plays a significant role in impulse buying behavior. This impact and relationship ultimately have a positive environment on buying behavior. This writing uses Google Scholar and Scopus as an in-depth literature review and trusted academic sources.
Conceptualizing the Digital Value Chain as a Sustainability Strategy in the Local Fashion Industry Cholifah, Fismayatni; Suhud, Usep; Wibowo, Setyo Ferry
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.184

Abstract

This convergence of sustainability imperatives and digital transformation is reshaping the future of the fashion industry, particularly for local micro, small, and medium enterprises (MSMEs). However, the integration of digital value chains into sustainability strategies remains underexplored, especially in emerging economies. This conceptual paper aims to develop a theoretical framework that positions digital value chain innovation as a strategic enabler of sustainable competitiveness in the local fashion industry. Using content analysis on 60 journal articles published between 2012 and 2025, the study identifies dominant variables. Drawing from the domains of digital transformation, green marketing, and customer value theory, the proposed model illustrates how digitalization of core value chain activities—including sourcing, production, promotion, distribution, and after-sales service—can enhance customer-perceived value through transparency, ethical branding, and operational efficiency. The framework highlights how these innovations contribute to long-term brand trust and competitive advantage in sustainability-oriented markets. This paper contributes to the growing body of literature on sustainable digital marketing and offers practical insights for policymakers and fashion entrepreneurs striving for ecological, social, and economic sustainability alongside prevailing analytical methods, including Structural Equation Modeling (SEM) and Multiple Linear Regression.
Co-Authors Achmad Husen Setyo Ferry Wibowo Suparno Suparno Usep Suhud