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@article{189580,
author = {Dr. Abdul Haleem Quraishi and Dr.Latha A},
title = {Automation as a Strategic Catalyst: Transforming Business Models in the Digital Economy},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {7},
pages = {6720-6723},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=189580},
abstract = {The digital economy has compelled organizations to rethink traditional business models in response to rapid technological change, heightened competition, and evolving customer expectations. Among these forces, automation has emerged as a strategic catalyst that not only enhances operational efficiency but also fundamentally transforms how firms create, deliver, and capture value. This study examines the role of automation—including artificial intelligence (AI), robotic process automation (RPA), machine learning, and data analytics—in reshaping business models in the digital economy. Using a descriptive and analytical research design, primary data were collected through an online survey of 100 managers, technology professionals, consultants, and entrepreneurs across multiple industries. The study employs descriptive statistics, correlation analysis, and multiple regression to assess the impact of automation on efficiency, innovation capability, agility, and business model performance. The findings reveal that automation significantly influences business model transformation, with innovation enablement and operational agility emerging as the strongest predictors of competitive advantage. The study concludes that organizations that strategically integrate automation into their core business architecture are better positioned to achieve scalability, resilience, and sustainable growth in the digital economy.},
keywords = {Automation, Digital Economy, Business Model Innovation, Artificial Intelligence, Strategic Transformation},
month = {December},
}
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