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Corporate Communication Innovation: The Role of Mobile Technology and AI in Improving Public Connectivity Irwansyah, Irwansyah; Megasari Panjaitan, Rina; Vielden Minanlarat, Kevin; Adityawan, Jonathan
Advances In Social Humanities Research Vol. 2 No. 12 (2024): Advances In Social Humanities Research
Publisher : Sahabat Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/adv.v2i12.324

Abstract

This study aims to analyze the role of mobile technology and artificial intelligence (AI) in improving the effectiveness of corporate communication and corporate relationships with consumers. With the rapid development of digital technology, companies are required to adopt innovations that are able to answer consumer needs quickly and personally. The study examines the application of AI, such as chatbots and sentiment data analysis, as well as mobile technology as the main interaction platform. Data is collected through a literature study method that includes journals, articles, and recent case studies. The results show that AI contributes to brand responsiveness through fast, automated customer service and data-driven analysis of consumer needs. On the other hand, mobile technology provides flexibility for consumers to access services and interact with brands at any time. The combination of these two technologies creates a more personalized and relevant experience, but it also poses challenges such as data privacy protection and limitations in understanding consumers' emotional context. This study concludes that the integration of mobile technology and AI in corporate communication is an effective strategic step to improve public connectivity. However, successful implementation requires a balanced approach between automation and human interaction to build consumer trust on an ongoing basis
KONSEP TPB & PRICE VALUE DALAM TEKNOLOGI MOBILE-AI: SEBUAH STUDI LITERATUR SISTEMATIS Adityawan, Jonathan; Reyhan , Erik
Retorika: Jurnal Komunikasi, Sosial dan Ilmu Politik Vol. 1 No. 6 (2024): Retorika: Jurnal Komunikasi, Sosial dan Ilmu Politik
Publisher : Retorika: Jurnal Komunikasi, Sosial dan Ilmu Politik

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Abstract

Studi ini membahas hubungan antara Theory of Planned Behavior (TPB) dan konsep price value dalam konteks adopsi teknologi Mobile-AI. Penelitian ini bertujuan untuk memahami bagaimana sikap individu, norma sosial, dan kontrol perilaku yang dirasakan berperan dalam membentuk niat untuk mengadopsi teknologi tersebut. Dalam kerangka TPB, sikap positif terhadap teknologi Mobile-AI dipengaruhi oleh manfaat praktis yang dirasakan oleh pengguna, seperti kemudahan dan efisiensi yang ditawarkan. Norma sosial juga mempengaruhi keputusan individu melalui pengaruh dari lingkungan sekitar dan tren sosial, sementara kontrol perilaku yang dirasakan membantu memperkuat keyakinan pengguna terhadap kemampuan mereka dalam menggunakan teknologi. Tak kalah penting, price value memegang peran penting dalam mempengaruhi persepsi pengguna terhadap teknologi. Apabila manfaat yang diterima dirasa sebanding dengan biaya yang dikeluarkan, hal ini mendorong peningkatan niat untuk mengadopsi teknologi tersebut. Melalui pendekatan literatur sistematis, penelitian ini mengidentifikasi bahwa sikap positif, norma sosial, kontrol perilaku yang dirasakan, serta persepsi price value secara signifikan mempengaruhi niat dan perilaku adopsi teknologi Mobile-AI. Pengetahuan ini relevan untuk pengembangan strategi yang lebih efektif dalam mendukung adopsi teknologi berbasis kecerdasan buatan di masyarakat.
Konstruksi Realitas Politik dalam Media Sosial: Studi Perilaku Pemilih di Era Informasi Adityawan, Jonathan; Reyhan, Iptu Erik; Christianto, Andrew
AKADEMIK: Jurnal Mahasiswa Humanis Vol. 5 No. 3 (2025): AKADEMIK: Jurnal Mahasiswa Humanis
Publisher : Perhimpunan Sarjana Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/jmh.v5i3.1472

Abstract

Social media platforms such as Instagram, TikTok, and YouTube have become central arenas for constructing political perceptions and influencing voter behavior in the digital era. This study addresses the issue of how algorithm-driven content personalization on these platforms shapes political narratives, potentially leading to filter bubbles and echo chambers that reinforce ideological bias and limit political diversity. The objective of this research is to examine the role of social media algorithms, digital political communication strategies, and user interactions in shaping voters’ political understanding and decision-making. Using a qualitative descriptive approach, the study collects data through in-depth interviews, digital content analysis, and observations of user behavior on major social platforms during political campaigns. The theoretical framework is grounded in McQuail’s Mass Communication Theory, Social Construction of Reality, the Public Sphere, Connectivism, and Network Society. Findings indicate that algorithmic filtering significantly influences how users access and interpret political content, contributing to increased polarization. Voters are no longer passive recipients but active participants in shaping and disseminating political discourse. The study highlights that while social media enhances democratic engagement, it also poses challenges such as disinformation, ethical concerns, and the erosion of inclusive political dialogue. These dynamics necessitate stronger digital literacy and regulatory frameworks to safeguard political communication in the digital public sphere.