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Tech & AI 3.1

RPA isn't simple software—it demands major organizational overhaul

A new analysis of robotic process automation reveals the technology requires far more strategic planning and organizational capability than vendors typically claim. The study identifies seven critical conditions for success, challenging the widespread belief that RPA is a quick, lightweight fix for business process inefficiency.

Originaltitel: Beyond the hype of Robotic Process Automation (RPA): on conditions needed to implement RPA in organizations

Abstrakt

<p>Robotic Process Automation (RPA) is often marketed as a lightweight and easy-to-implement solution for process automation. However, this portrayal can be mis-leading. Our study reveals that RPA implementation shares many complexities with more comprehensive automation technologies, requiring strategic planning and or-ganizational commitment. Through a systematic literature review following PRIS-MA and Kitchenham guidelines, we identify 12 organizational challenges to RPA implementation using the TOE framework and derive 7 sequential technical, orga-nizational, and strategic conditions for its successful adoption. Four key insights include: RPA implementation (1) demands deep technical knowledge of both RPA tools and the existing digital infrastructure; (2) requires specific organizational and process-related capabilities; (3) involves multiple actors with distinct roles across 2022pre- and post-implementation phases; and (4) depends on clear policies and governance strategies. These findings highlight the importance of moving beyond simplistic narratives of RPA adoption and recognizing the multifaceted conditions that shape its success. Our review also identifies research gaps, including the need for studies on designing governance frameworks, aligning automation technologies with different process types, and supporting hybrid human-automation solutions. The role of RPA enthusiasts in driving adoption also emerges as a critical but under-explored area. This study contributes a nuanced understanding of RPA implemen-tation challenges and offers practical insights for organizations navigating process automation. It serves as a resource for both researchers and practitioners aiming to better prepare for the technical, organizational, and strategic demands of RPA.</p>

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