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Journal : Dinamika

E-GOVERNMENT AND PUBLIC TRUST: EXAMINING THE IMPACT OF DIGITAL TRANSPARENCY ON CITIZEN ENGAGEMENT IN SOUTHEAST ASIA Maulan, Puteri Anindya; Fitriani, Nining
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol. 5 No. 1 (2025): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/shq0s821

Abstract

Digital transformation in the public sector through the implementation of e-government offers significant opportunities to enhance transparency and citizen engagement. This study analyzes the impact of digital transparency on public trust and citizen participation in Southeast Asia, focusing on Indonesia, Malaysia, and Thailand. A conceptual model was developed based on three main theories: Digital Transparency Theory, Institutional Trust Theory, and Digital Divide Theory. The research adopts a Design Science Research approach, utilizing both quantitative and qualitative methods. Data were collected through a survey of 600 respondents and in-depth interviews with 15 key stakeholders. The analysis was conducted using Structural Equation Modeling (SEM-PLS) with SmartPLS 4.0. The results indicate that digital transparency has a significant effect on public trust (β = 0.624), which in turn increases citizen participation (β = 0.538). Government reputation serves as a positive mediator (β = 0.293), while the digital divide acts as a negative moderator (β = -0.146), hindering the effectiveness of transparency in areas with limited digital access. These findings underscore the need for digital literacy strategies and the design of more inclusive e-government systems. The study provides both theoretical and practical contributions to understanding the dynamics of e-government in developing countries and promotes sustainable citizen engagement through equitable digital transparency approaches.
PERSONALIZATION VERSUS PRIVACY: INVESTIGATING THE TRADE-OFFS IN AI-DRIVEN DIGITAL MARKETING STRATEGIES Aditya, Galuh; Wardi, Agustinus; Fitriani, Nining
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol. 5 No. 1 (2025): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/cjwtch17

Abstract

The use of Artificial Intelligence (AI) in digital marketing is rapidly expanding, enabling highly personalized strategies for consumers. However, this advancement also raises serious concerns about data privacy, especially amid varying regulations such as the GDPR (Europe), CCPA (United States), and local policies across Southeast Asia. This study examines how AI technologies like Natural Language Processing (NLP) and predictive analytics can adaptively balance personalization with privacy protection. It also explores the emotional dimension of consumer responses—particularly trust and anxiety—and how these emotions shape perceptions of digital marketing strategies under different regulatory contexts. A mixed methods approach was employed, combining survey data from 400 respondents across three regions and in-depth interviews with 20 extreme-case participants. The analysis utilized tools such as SmartPLS, NVivo, and visual platforms like Tableau AI and MonkeyLearn. Findings reveal that limiting the collection of sensitive data can increase consumer acceptance by up to 23% without compromising marketing effectiveness. Consumer trust emerged as a key mediating factor, while anxiety amplified the demand for transparency. In Southeast Asia, incentive-based strategies were found to be 35% more effective than regulatory approaches. These findings underscore the importance of integrating technological, emotional, and cultural dimensions when designing ethical and context-aware digital marketing strategies.