The authors believe that “organizations have entered an unknowable world in which current business problems bear little resemblance to the past.” Rather than endlessly gathering information, they must continually take action. Three principles of entrepreneurial leadership are outlined, starting with cognitive ambidexterity, which involves “integrating two diverse ways of making decisions into a single approach to pursuing opportunity.” Next is “commitment to social, environmental, and economic value creation,” in which leaders are “driven by their commitment to social, environmental, and economic responsibility and sustainability (SEERS).” Finally, leaders must develop self‐awareness, “a deep understanding of who they are to guide their actions.”
Purpose
The authors explore the potential of machine learning, computers employ that an algorithm to sort data, make decisions and then continuously assess and improve their functionality. They suggest that it be used to power a radical redesign of company processes that they call machine reengineering.
Design/methodology/approach
The authors interpret a survey of more than a thousand corporate public agency IT professionals on their use of artificial intelligence and machine learning.
Findings
Companies that embrace machine learning find that it adds value to the work product of their employees and provides companies with new capabilities.
Practical implications
Working together with an intelligent machine, workers become custodians of powerfully smart tools, tools that personalize work to maximize their most productive ways of working.
Originality/value
A guide to establishing a culture that empowers employees to thrive alongside intelligent machines.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.