| Title |
Strategic and organisational factors for advancing knowledge in intelligent automation / |
| Authors |
Mubarik, Mobashar ; Mačiukaitė-Žvinienė, Saulė ; Mubarak, Muhammad Faraz ; Ghobakhloo, Morteza ; Pilkova, Anna |
| DOI |
10.1016/j.jik.2025.100675 |
| Full Text |
|
| Is Part of |
Journal of innovation & knowledge.. Madrid : Elsevier España, S.L.U. 2025, vol. 10, iss. 2, art. no. 100675, p. [1-10].. ISSN 2530-7614. eISSN 2444-569X |
| Keywords [eng] |
intelligent automation ; digital transformation ; digitalization competencies ; absorptive capacity ; process automation |
| Abstract [eng] |
This study explores the determinants of intelligent automation implementation within organisations and their implications for strategic value and technological adoption. Grounded in diffusion of innovation theory, this study examines how digital competencies, technology absorptive capacity, and strategic value influence the adoption of intelligent automation. Using a quantitative approach, the findings reveal that digital competencies do not directly impact intelligent automation implementation, but exert an indirect influence through technology absorptive capacity and strategic value. Technology absorptive capacity emerges as a critical enabler facilitating the assimilation and application of the external knowledge necessary for intelligent automation integration, whereas strategic value plays a significant role in aligning intelligent automation adoption with organisational goals. These results emphasise the importance of absorptive and strategic capacities in bridging the gap between digital readiness and intelligent automation. This study highlights that successful intelligent automation adoption requires a multifaceted approach that integrates technological, organisational, and strategic considerations. Although intelligent automation offers substantial potential to improve operational efficiency and competitiveness, its adoption remains resource-intensive, necessitating investments in digital capabilities, training, and stakeholder engagement. This research also underscores the need for a human-centric approach to address employee concerns and align intelligent automation with broader organisational strategies. This study contributes to the literature on digital transformation and automation by providing empirical evidence of the determinants of intelligent automation implementation and their interplay. These findings offer insights for managers, policymakers, and researchers and pave the way for more effective and sustainable adoption strategies for intelligent automation. Future research should explore additional factors that influence the adoption of intelligent automation across diverse sectors and organisational contexts. |
| Published |
Madrid : Elsevier España, S.L.U |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
