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All Journal Jurnal Sosioteknologi REKAYASA Journal of Economic, Bussines and Accounting (COSTING) Jurnal Abdi Masyarakat Indonesia Jurnal Keuangan dan Akuntansi Terapan (KUAT) JWM (JURNAL WAWASAN MANAJEMEN) Return : Study of Management, Economic and Bussines The Eastasouth Management and Business eProceedings of Management Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Journal of International Multidisciplinary Research Proceeding of Community Service and Engagement Journal of Indonesia Business Research (JIBR)
Khairani Ratnasari Siregar
Universitas Telkom
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Physics Public Health Social Sciences Other

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Artificial Intelligence Adoption Drivers and Sustainable Performance in the Indonesian Telecommunications Industry Ivan Fernaldy; Khairani Ratnasari Siregar
Return : Study of Management, Economic and Bussines Vol. 5 No. 8 (2026): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v5i8.483

Abstract

Artificial Intelligence (AI) is increasingly being adopted as a strategic capability within the Indonesian telecommunications industry to support digital transformation, enhance operational efficiency, and achieve long-term sustainability performance amid intensifying competition. However, successful AI adoption is determined not only by technological readiness but also by organizational conditions, environmental pressures, and psychological assurances related to trust and data privacy. This study aims to examine the effects of the Technology–Organization–Environment (TOE) framework, Trust in AI, and privacy assurance on organizational Intention to Adopt AI, as well as their subsequent influence on actual AI use behavior and corporate sustainability performance within the Indonesian telecommunications sector. A quantitative research approach was employed using survey data collected from 231 managerial and technical professionals across telecommunications firms. The data were analyzed using Structural Equation Modeling (SEM) with SmartPLS 4 software. The findings indicate that technological, organizational, and environmental readiness, together with trust and privacy assurance, have significant positive effects on Intention to Adopt AI. Furthermore, Intention to Adopt AI is found to be a strong predictor of actual AI use behavior, indicating that adoption intention translates into practical implementation rather than merely reflecting favorable attitudes. Consistent and integrated AI utilization subsequently contributes significantly to corporate sustainability performance, encompassing economic, operational, and environmental dimensions. These results suggest that the sustainability benefits of AI emerge when contextual readiness and psychological assurance jointly enable organizations to move beyond adoption intention toward sustained AI utilization. This study provides valuable insights for industry practitioners and policymakers in designing AI adoption strategies that support sustainable business performance in emerging telecommunications markets.
Co-Authors Agus Riyanto Alfi Syukri Andrieta Shintia Dewi Anggaresti, Kinanthi Sekar Anita Rismaharni Syaputri Anton Mulyono Azis Damayanti Octavia Dini Wahjoe Hapsari Dudi Pratomo Dwi Fitrizal Salim Gemilang, Fajar Surya Hanggoro, Risang Hardani, Riza Yarzuq Helni Mutiarsih Jumhur Heppy Millanyani Hibatulah, Rizky Pratama Indira Rachmawati Ivan Fernaldy Moch Reza Aditya Monica Esperanza Muanzir, Raihan Fadhlan NurIhsan, Muh NurIhsan Haidir Ahyar Puspita Kencana Sari Putri, Haifa Rifai, Muhamad Alfian Nur Sutarman Sutarman Tarandhika Tantra Wafi Azkia Zahidah Wardana, Zaidan Yusuf Zulhendrianto Zulhendrianto Zulhendrianto