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All Journal Lingua : Journal of Linguistics and Language Data : Journal of Information Systems and Management Logistica : Journal of Logistic and Transportation
Hanifah, Anisah Mutiara Zahra
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Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Transportation

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Engagement at Scale: Experimental Evidence on Interactivity and Purchase Behavior in Indonesia’s Live Commerce Ecosystem Hanifah, Anisah Mutiara Zahra; Marthalia, Lia; Sapri
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i2.918

Abstract

This study investigates how interactivity influences consumer purchase decisions in live commerce, focusing on short video platforms in Indonesia. As digital retail rapidly expands across Southeast Asia, live commerce particularly on platforms like TikTok Shop by Tokopedia has become a dominant format for real time engagement and conversion. The objective of this research is to provide empirical evidence on the causal effects of interactivity during live shopping sessions on key performance indicators such as trust, click through rates, and paid orders. Using a randomized field experiment design, the study categorizes live sessions into three treatment groups representing different levels of interactivity (low, moderate, high). Quantitative data were collected from 90 sessions hosted by certified sellers, supplemented by post session viewer surveys. Key metrics include chat frequency, response time, Q&A participation, and viewer trust scores. Analytical techniques include regression models and mediation analysis. Results show that higher interactivity significantly enhances engagement and drives stronger outcomes at each stage of the purchase funnel. Paid order rates increased from 1.2% in low interactivity sessions to 3.6% in high interactivity sessions. Trust was identified as a statistically significant mediator between interactivity and purchase behavior, reinforcing existing digital commerce theories such as the Stimulus Organism Response (S O R) model. These findings have critical implications for platform developers, marketers, and policymakers. Optimizing live commerce features to encourage real time interaction can improve trust and conversion outcomes, particularly in culturally collectivist and regulatory sensitive markets like Indonesia. The research highlights the need for adaptive platform design and regulatory foresight to balance innovation with compliance.
Dark Patterns and Consumer Decision Making in Emerging Markets: Experimental Evidence from Indonesia Uceng, Andi; Hanifah, Anisah Mutiara Zahra
Data : Journal of Information Systems and Management Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i3.919

Abstract

The rapid digitalization of Indonesia's economy has amplified concerns over deceptive interface designs known as dark patterns. These manipulative practices undermine user autonomy and raise legal and ethical questions. This study aims to provide experimental evidence specific to the Indonesian context, examining how four prevalent dark patterns urgency cues, drip pricing, consent manipulation, and fake social proof affect user trust, decision quality, and fairness perception within local e-commerce and fintech platforms. A between subjects experiment involving 300 participants was conducted using simulated Indonesian e commerce and fintech platforms. Participants were randomly assigned to one of five interface conditions: urgency, drip pricing, consent manipulation, fake social proof, or a neutral control. Behavioral metrics such as trust, regret, choice quality, and opt in rates were measured. Digital literacy was assessed as a moderating variable. All dark pattern treatments significantly reduced user trust and increased post decision regret compared to the control group. Drip pricing produced the highest regret and lowest fairness perception, while consent manipulation yielded inflated opt in rates. Low digital literacy was associated with greater susceptibility to deception and lower detection rates. These findings align with global behavioral research and highlight the vulnerability of digitally inexperienced users. Regulatory gaps were noted in Indonesia’s legal frameworks, which currently lack operational tools for addressing interface level manipulation. Dark patterns negatively impact consumer decision making and disproportionately affect vulnerable populations. Legal frameworks must evolve to explicitly define and penalize such designs. Promoting ethical UI practices and enhancing digital literacy are essential to safeguarding consumer rights and trust in Indonesia's digital economy.
Structure Meets Society: Psychosocial Predictors of Structural Convergence in Multilingual Border Communities Hanifah, Anisah Mutiara Zahra
Lingua : Journal of Linguistics and Language Vol. 2 No. 4 (2024): Desember 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/lingua.v2i4.988

Abstract

This study investigates the role of psychosocial perception particularly prestige, social proximity, and identity in shaping structural convergence in multilingual contact zones. Focusing on four language pairs from Southeast Asia and Latin America, the research applies a dual-index model combining the Structural Convergence Index (SCI) and Psychosocial Index (PI) to evaluate the relationship between linguistic similarity and social perception. Structural features were extracted from typological databases (WALS, Grambank, PHOIBLE), while perception data were gathered via surveys measuring intergroup attitudes and identity alignment. Quantitative analysis revealed a strong positive correlation (r = 0.78) between SCI and PI scores, indicating that communities with higher perceived social proximity and shared prestige norms exhibited greater grammatical convergence. The study also identified domain-based variation, with convergence most pronounced in institutional contexts (e.g., schools, administration). In contrast, resistance to convergence particularly in the Fronterizo–Spanish case highlighted the impact of identity boundaries and sociopolitical ideologies. These findings support emerging models that treat language convergence as both a structural and socially mediated process. The SCI+PI model contributes a replicable and scalable method for assessing contact-induced change, advancing theoretical and methodological frontiers in contact linguistics. The results underscore that convergence is not only a linguistic outcome but also a reflection of social alignment, identity dynamics, and intergroup perceptions.
The Influence of Digital Marketing and Brand Image on Purchase Intention of Local Fashion Products in Surabaya: A Quantitative Study Hanifah, Anisah Mutiara Zahra
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.627

Abstract

Digital marketing has become a strategic imperative for fashion Micro, Small, and Medium Sized Enterprises (MSMEs) operating in Indonesia’s rapidly digitising urban markets. This study investigates how digital marketing and brand image interact to influence purchase intention for local fashion products in Surabaya. Using a cross sectional online survey of 220 consumers and Partial Least Squares structural equation modelling, the research validates a model where digital marketing directly predicts purchase intention and indirectly affects it through brand image. Results indicate that digital content quality, storytelling, and influencer credibility significantly enhance brand image, which partially mediates the relationship between digital marketing and purchase intention. The model explains 55 % of the variance in purchase intention, highlighting the importance of narrative rich, trust building strategies. Discussion situates these findings within the Theory of Planned Behaviour (TPB), a framework that explains how attitudes, norms, and perceived control shape intention. This highlights dual cognitive and affective pathways, and proposes practical guidelines for MSMEs to leverage storytelling, user generated content, and micro influencer partnerships. The study contributes to emerging market scholarship by evidencing how perceptual and relational mechanisms convert digital stimuli into economic value, and it recommends longitudinal and experimental research to explore temporal effects and contextual moderators.
Co-Authors Marthalia, Lia Sapri Uceng, Andi