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All Journal Pattimura Proceeding : Conference of Science and Technology International Journal of Economics, Business and Innovation Research
Hashmi, Maria
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Materials Science & Nanotechnology Mathematics Physics

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Bridging Leadership and AI Adoption: The Mediating Role of Phenomenological Learning and the Moderating Effect of Digital Culture Hashmi, Maria; Jovinda Percillia Ma’rifatul Umairoh; Mega Aprillia Pratamasari; Ogun Prayoga; Zaki Nur Hamam
International Journal of Economics, Business and Innovation Research Vol. 4 No. 05 (2025): August - September, International Journal of Economics, Business and Innovatio
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijebir.v4i05.2287

Abstract

This study investigates the role of transformational leadership, phenomenological learning, and digital culture in shaping the successful adoption of Artificial Intelligence (AI) within Indonesian organizations. Using a quantitative survey design, data were collected from 412 respondents across the service and manufacturing sectors. Structural Equation Modeling Partial Least Squares (SEM-PLS) was employed to test the hypothesized relationships. The findings reveal that transformational leadership significantly enhances phenomenological learning, which in turn positively influences AI adoption. Moreover, phenomenological learning mediates the relationship between transformational leadership and AI adoption, while digital culture strengthens the link between leadership and learning. These results highlight the importance of integrating phenomenological learning as a reflective and human-centered process in organizational digital transformation. The study contributes to theory by extending Phenomenological Learning Theory into technology adoption research and underscores the moderating role of digital culture in shaping organizational readiness. Practically, the findings suggest that leaders should foster reflective learning environments and cultivate adaptive digital cultures to accelerate inclusive and sustainable AI adoption.
Drivers of AI Adoption: The Role of Innovation Attributes, Organizational Capability, and the External Environment Hashmi, Maria; Tubastuvi, Naelati
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 Jovinda Percillia Ma’rifatul Umairoh Mega Aprillia Pratamasari Naelati Tubastuvi Ogun Prayoga Zaki Nur Hamam