artificial managers, artificial management, managers, artificial leadership, team management automation, artificial intelligence
Automating a manager’s job is one thing, but the other side of the coin is the skills human managers need to master to cope with this automation. A few years ago, Harvard Business Review surveyed 1,770 managers in 14 countries about what skills managers need to develop in an era of widespread use of artificial intelligence. Here’s what the results of that survey are. Area 1: boring and tedious managerial activities As the first area, managers listed activities and tasks
Continue reading
Ontology is a word that comes from philosophy, but many scientific fields have borrowed ontology and established from it their first assumptions about the reality they study. The same is true for software to do anything in management, and more broadly in organizational reality. I will describe today, based on the literature, why ontology is so important. An ontology is a formal, predetermined description of phenomena in a given slice of reality, whose characteristics are describable by certain variables or
Continue reading
In the previous post, I described how a measurement tool that records managerial activities works. Let me remind you – it measures successive states of resources (primary organizational terms) over time, which change due to processes (derivative organizational terms) initiated by the manager and his team. But the question arises: where to mount these measuring tools to capture what the manager is really doing? Laboratory conditions could only be used to a limited extent – the measurement error in relation
Continue reading
You have learned from previous posts that, first, in order to replace some human work, it is possible to make a film of how that work is done and then try to replace a human in it, and second, that we cannot make a film depicting cognitive activities. Managerial activities are precisely cognitive activities. Can we really not? Let’s go back to the posts in which I described what the world of a robotic manager should look like. This world
Continue reading
In the previous post, I described how to create any mechanical robot to replace a given job, of course, if we can produce good enough mechanical mechanisms to simulate, for example, the actions of arms, legs, etc., and if we can equip such a robot with a human sense (for example, to judge the loudness of some phenomenon or to observe the environment). But what to do with another type of human work, which is thinking? We’re doing just fine
Continue reading