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Journal : pattimura proceeding conference of science and technology

Drivers of AI Adoption: The Role of Innovation Attributes, Organizational Capability, and the External Environment Maria Hashmi; Naelati Tubastuvi
Pattimura Proceeding 2026: Proceeding of the 3rd International Conference of International Conference on Business and Eco
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pcst.2026.iconbe.p129-145

Abstract

Artificial Intelligence continues to reshape the ICT sector in Pakistan, yet organizations differ widely in how and why they adopt this technology. This study explores the key drivers of AI adoption by focusing on national ICT professionals who work directly with digital systems and emerging technologies. A total of 110 valid responses were collected through an organized online survey using purposive sampling. The investigation was guided by Technology Organization Environment framework combined with innovation characteristics from Diffusion of Innovation theory. The variables examined include the perceived suitability of AI to current systems, the benefits and complexity of adopting AI, organizational technical capability, and external environmental pressures. Data analysis involved Smart PLS-SEM, which facilitated reliability and validity assessment along with hypothesis evaluation. The outcomes highlight that seamless compatibility with existing infrastructure plays a key role in encouraging AI adoption, offers clear operational value, and is not overly difficult to implement. Technical capability also demonstrates a strong influence, indicating that firms with mature digital systems are better prepared to integrate AI solutions. In contrast, external environmental pressures did not show a significant role in the adoption process. These findings highlight that internal technological perceptions and readiness are stronger predictors of AI adoption than external forces in operating ICT firms in Pakistan. The study provides insights that can help organizations strengthen their technical readiness and make more confident decisions when transitioning toward AI enabled transformation. This study contributes to AI adoption literature by isolating organizational technical capability and providing national level evidence from an emerging ICT economy.
Co-Authors Afifah Akhmad Darmawan Akhmad Darmawan Alfalisyado Alfalisyado Alfato Yusnar Kharismasyah Alfato Yusnar Kharismasyah Aman Suyadi Amir Amir Ana Dwi Setyaning Anggita Nur Reza Aprilita Tri Amelika Arafah Esa Yuswandani Arienda Gitty Ramadani Arini Hidayah, Arini Astika Nurul Hidayah Baligh Al Haj Bambang Haryo Nugroho Billy Widoera Kharisma Bima Cinintya Pratama Bisma Anjala Sutra Dafira Nadaa Septiani Dheya Alhag Alsharabi Dian Larasati Dian Papulasih Diana Mahmudah Dina Retno Wiasih Dwi Winarni Dyandra Viorica Ivonilenia Eko Haryanto Eko Haryanto Erina Kusuma Widyaningrum Erna Handayani Erny Rachmawati Farinda Hauna Azizah Fatimah Fatmah Bagis Febriana Hidayanti Fitriati, Azmi Galih Prakoso Gita Rosiliana Abidin Gladisya Zafira Azzahra Hengky Widhiandono, M.Si. S.E. Herdina Indah Utami Hermin Endratno Herni Justiana Astuti Herni Justiana Astuti Ika Yustina Rahmawati Ika Yustina Rahmawati Iwan Fakhruddin Lelly Kartika Sari Maria Hashmi Mastur Mujib Ikhsani Maulida Nurul Innayah Meydy Fauziridwan Mudjiyanti, Rina Muhamad Riki Muhammad Arfani Zaidan Muhammad Ghiffary Ar Ridho Firdauz Naela Aziizahtur Rif'aa Nawalin Nazah Nina Setyasari Novi Crisnandani Panashe Joseph Zwoutete Purnadi Purnadi Rafanjamalala Benjamine Andreas Raihan Akbar Cahya Gemintang Restu Frida Utami Rhis Ogie Dewandaru Risma Fauzah Rizka Septiana Putri Samar T.M. Al Haj Siti Kholifah Sri Wahyuni Sri Wahyuni Sri Wahyuni Sulistiyani Budiningsih Suryo Budi Santoso Suryo Budi Santoso Suyoto Suyoto Suyoto Suyoto Syaefa Intan Salsabilla Syarila Asri Febiani Tasya Fifiani Putri Tiara Pandansari Timbang Apit Afifah Totok Haryanto Venus C. Ibarra Viana Khoerunnisa Wida Purwidianti Widodo, Selamat Wilson Candra Yudhistira Pradhipta Aryoko Zulfa Suhailah