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Algorithmic Visibility and Entrepreneurial Survival in Hospitality: A Structural Equation Model of Communication Adaptation and Trust Among Micro, Small, and Medium Enterprises Prasetya Yoga Santoso; Ressa Uli Patrissia
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 4 (2026): Dinasti International Journal of Education Management and Social Science (April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i4.6775

Abstract

The viability of micro, small, and medium enterprises (MSMEs) in Indonesia's hospitality sector is increasingly contingent upon the capacity of entrepreneurs to navigate algorithm-driven digital ecosystems that govern audience reach, reputation, and demand. Despite the proliferation of platform-mediated commerce, empirical models that articulate how algorithmic visibility translates into entrepreneurial survival remain scarce, particularly within the Global South. This study addresses that gap by developing and empirically validating the Algorithmically Mediated Hospitality (AMH) model, which posits algorithmic visibility as an antecedent of entrepreneurial survival operating through the sequential mediation of communication adaptation and customer trust, and conditioned by digital literacy. Drawing on the Resource-Based View (J. Barney, 1991), Adaptive Communication Theory (Daft & Lengel, 1986), and the platform-economy literature (Cusumano et al., 2019), the model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM) on cross-sectional survey data collected from 287 hospitality MSME owners (boutique hotels, cafés, and homestays) in Jakarta, Bali, Yogyakarta, and Bandung. The results indicate that algorithmic visibility exerts a statistically significant positive effect on communication adaptation (β = 0.612, p < .001), customer trust (β = 0.431, p < .001), and entrepreneurial survival (β = 0.278, p < .001). The sequential indirect effect was confirmed (β = 0.189; 95% CI [0.134, 0.251]), and digital literacy significantly moderated the algorithmic visibility–communication adaptation pathway (βinteraction = 0.214, p < .001). The model accounts for 53.1% of the variance in entrepreneurial survival, exceeding benchmarks reported in comparable Southeast Asian SME studies (Fauzi et al., 2023). Theoretically, the study contributes a measurement-validated construct of algorithmic visibility and extends the Resource-Based View into platform-mediated competition. Practically, the findings inform a redesign of national MSME digital-literacy policy that explicitly incorporates algorithmic literacy as a survival-relevant competence.
Human–Computer Interaction and Digital Advertising Effectiveness: A Systematic Literature Review of Visual Attention, Interface Design, and Persuasion Ressa Uli Patrissia; Pritha Ayodya Basuki; Mochamad Husni
Journal of Law, Politic and Humanities Vol. 6 No. 3 (2026): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v6i3.3130

Abstract

Digital advertising is increasingly embedded within contemporary human–computer interaction (HCI) environments, where advertisements function not only as persuasive messages but also as structural elements of digital interfaces. Despite the rapid growth of online advertising, research examining how interface design influences advertising effectiveness remains fragmented across HCI, communication science, and marketing. This study synthesizes interdisciplinary research on how HCI-related interface variables affect visual advertising attention, avoidance, and persuasion outcomes. A systematic literature review following the PRISMA 2020 framework was conducted using four major databases: Web of Science, Scopus, PubMed, and the ACM Digital Library. The review covers peer-reviewed studies published between 2000 and 2025 that combine HCI methodologies—such as eye-tracking, usability evaluation, interaction logging, and user experience measurement—with advertising outcomes including attention, recall, persuasion, and avoidance. A total of 118 studies met the inclusion criteria and were analyzed using narrative synthesis. The findings indicate that advertising effectiveness is strongly shaped by interface-level variables including visual complexity, animation, interactivity, aesthetic congruence, and user task context. Visual attention operates through a dual-pathway mechanism in which bottom-up visual salience interacts with top-down goal-directed browsing behavior, explaining phenomena such as banner blindness. The review highlights the need for stronger theoretical integration between HCI and communication-based persuasion frameworks.