Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal IAIC Transactions on Sustainable Digital Innovation (ITSDI) Formosa Journal of Sustainable Research (FJSR)
Eko Sigit Pramudito
Universitas Multimedia Nusantara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
The Influence of Physical Attractiveness, Social Attractiveness and Attitude Homophily towards the Credibility of Travel Vlogger Eko Sigit Pramudito; Nosica Rizkalla; Purnamaningsih Purnamaningsih
Formosa Journal of Sustainable Research Vol. 1 No. 7 (2022): December 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjsr.v1i7.2150

Abstract

The COVID-19 pandemic has caused a decline in the Indonesian economy, including the tourism sector. As the condition has been improving in 2021, several strategies have been initiated to restore consumer interest in visiting tourist attractions. One of the ways is by collaborating with travel vloggers or travel influencers to promote tourist attractions. However, in-depth consideration is needed in the selection of the representative travel vlogger. The chosen figure must be credible so that the results of the review or recommendation can be trusted by consumers. This study aims to examine whether attitude homophily, physical attractiveness and social attractiveness can affect the credibility of a travel vlogger or travel influence. Based on the results of the multiple regression analysis, it is evident that the three proposed factors have a significant effect on the credibility of travel vloggers or travel influencers
Business Artificial Intelligence for Enhancing Sustainable Decision Intelligence Muttaqin Choiri; Eko Sigit Pramudito; Felix Sutisna; Rio Squire Sean
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.712

Abstract

Business Artificial Intelligence (BAI) has become a key driver of organizational transformation, enabling advanced analytics, intelligent automation, and data-driven strategic decision-making. However, despite rapid technological progress, empirical research explaining how AI capability, algorithmic transparency, and task–technology alignment collectively shape Sustainable Decision Intelligence (SDI) within real business environments remains limited. To address this gap, this study introduces a novel BAI–SDI framework integrating AI Capability, Algorithmic Transparency, Task-Technology Fit (TTF), Decision Quality, and Sustainable Decision Intelligence as core constructs influencing long-term strategic and sustainable decision outcomes. Using a quantitative approach with Structural Equation Modeling–Partial Least Squares (SEM–PLS), survey data were collected from 402 professionals working in AI- integrated business sectors across Indonesia. The empirical results indicate that AI Capability significantly enhances Task-Technology Fit, while Algorithmic Transparency strongly predicts Decision Quality, emphasizing the importance of interpretability and accountability in trust-driven decision processes. Furthermore, Task-Technology Fit mediates the impact of AI Capability on Decision Quality, demonstrating that effective system-task alignment is essential for maximizing organizational value. The findings provide theoretical advancements by positioning SDI as an empirical extension of decision management theory and offer practical guidance for implementing ethical, transparent, and future-ready AI strategies within business environments. Overall, this study contributes actionable insights for strengthening governance and accelerating sustainable digital transformation in increasingly competitive and AI-driven decision ecosystems.
Co-Authors Felix Sutisna Muttaqin Choiri Nosica Rizkalla Purnamaningsih Purnamaningsih Rio Squire Sean