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All Journal Journal of Contemporary Administration and Management (ADMAN)
Sukistanto
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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A Comprehensive Analysis of Optimizing the Role of Artificial Intelligence-Based Management Information Systems in Driving Digital Transformation and Enhancing Organizational Performance in the Industry 4.0 Era Amira S, L. Happy; ⁠Rokhadi; Hariyanti; Setyawati, Heri Tugas; Sukistanto
ADMAN: Journal of Contemporary Administration and Management Vol 2 No 3 (2024): December 2024
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/adman.v2i3.234

Abstract

This study aims to comprehensively analyze the role of Artificial Intelligence (AI)-based Management Information Systems (MIS) in supporting digital transformation and enhancing organizational performance in the Industry 4.0 era. A qualitative literature review with descriptive analysis was employed, using data sourced from 19 articles selected via Google Scholar from 2014–2024. The findings reveal that AI-based MIS significantly contribute to improving operational efficiency, supporting strategic decision-making, and fostering innovation. Case studies on PT Astra International Tbk, Bank BRI, and Tokopedia illustrate how AI implementation can optimize business processes and enhance organizational competitiveness. However, adopting this technology faces challenges such as infrastructure limitations, digital literacy gaps, and high implementation costs, particularly for SMEs. The study's implications include recommendations for organizations to prioritize infrastructure readiness and human resource development, as well as the importance of cross-sector collaboration to promote inclusive and sustainable digital transformation. This research provides theoretical contributions to the literature on AI's role in MIS and practical guidance for technology implementation across various sectors.
ChatGPT Utilization Strategy in Story-Based Marketing: Enhancing Consumer Engagement through Interactive Narratives Sukistanto
ADMAN: Journal of Contemporary Administration and Management Vol 2 No 1 (2024): April 2024
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/adman.v2i1.175

Abstract

Story-based marketing has become an increasingly popular approach in modern marketing strategies. AI technology, such as ChatGPT, has enabled more personalized interaction between brands and consumers. This research aims to examine the strategy of using ChatGPT in story-based marketing to enhance consumer engagement through interactive narratives. The research method employed is a literature review with a qualitative approach and descriptive analysis. Descriptive analysis will be utilized to present and interpret data from 28 articles selected from Google Scholar between 2008-2023. The study's findings indicate that the use of interactive narratives supported by technology like ChatGPT offers significant opportunities for marketers to deepen consumer engagement and create more personalized experiences in marketing. Through dynamic and adaptive interaction, ChatGPT enables marketers to craft compelling and individually relevant stories, as well as opens doors for collaboration between brands and consumers. However, challenges such as the risk of losing control over brand messages and the need for ethical compliance and privacy regulation must be carefully addressed.
Co-Authors Hariyanti Hariyanti L. Happy Amira Setyawati, Heri Tugas ⁠Rokhadi