Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Abstract

Purpose

Research of currently limited literature sees Robotic Process Automation (RPA) as an important tool at the tactical level. However, the literature has not considered its potential contribution to creating competitive advantages. This paper aims to link RPA and Resource-based view (RBV) literature, proposing a conceptual framework boosting RPA research as part of an organizational AI strategy.

Design/methodology/approach

This study applied a Systematic Literature Review (SRL), combining bibliometrics and content analysis. This study also built a new framework based on the updated RBV model that was transformed based on the RPA literature review results.

Findings

By bridging the two bodies of literature on RBV and RPA, this study manages to show the strategic side of the technology. Therefore, this study brought to light the most updated fundamental concepts of complementarity and scale-free fungible resources from RBV theory and AI technologies, applied to the domains of RPA, information systems and information technology (IS/IT) through the development of a new theoretical lens. Also, this study was able to elaborate on a new conceptual framework for AI strategy formulation to help organizations on their journey to AI utilization.

Originality/value

The authors did not find any research that has shown the strategic side of RPA, nor any that has used a theoretical lens based on the RBV theory to show this side. To the best of the author’s knowledge, this study seems to be the first to make the case for RPA's strategic potential.

Citation

Moderno, O.B.d.S., Braz, A.C. and Nascimento, P.T.d.S. (2024), "Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view", Business Process Management Journal, Vol. 30 No. 1, pp. 105-134. https://doi.org/10.1108/BPMJ-08-2022-0409