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It draws upon recent research into robotic process and cognitive automation to demonstrate the concepts and methodology for a further mode of research into practice that is distinguishable from action research and design science. The authors present definitions, research assumptions, and evaluation criteria and provide a six-step process for generating a set of action principles, updatable by new empirical evidence. The process is illustrated by research into 22 automation cases that eventually arrived at 39 action principles for effective deployment of the automation technologies under review. The major objective is to provide guidelines to prospective researchers. A secondary objective is to provide major insights into the management of robotic process and cognitive automation. This provides opportunities for further theorization and research by academics, and more considered action by practitioners. 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