Differences in operating models
Posted: Thu Jan 23, 2025 4:20 am
The traditional operating model is based on the idea that a company is a thing, an entity, a structure. However, boundaryless organizations are distinguished by their ability to respond quickly to current and future customer needs and market conditions, and to make decisions and act on them.
How do companies understand cambodia whatsapp resource what’s going on around them, and how do they respond to those signals? As we thought about how companies could develop these capabilities, we looked to other situational awareness models to see what we could learn from them.
One such model, developed by military strategist John Boyd, is known as the "observe-orient-decide-act" cycle.OODA loop). His goal was to explain how fighter pilots could achieve superiority in a combat environment. Boyd's idea was that the ability to sense and react to rapidly changing conditions faster than the enemy gives a pilot a competitive advantage.
The OODA Loop describes the processes required to perceive and respond, and allows the military to develop the most efficient ways to do so. The model has found wide acceptance in both the military and businesses, which can use it as a conceptual framework for designing and developing business management processes. The goal, as in the military, is to ensure that strategic decision-making and innovation are accelerated through effective process management.
During our research, we realized that the OODA loop is very similar to the sense-perceive-decide-actuate (SPDA) model used to describe the operation of autonomous cars. In this model, the car performs the following functions in real time and continuously:
Sense: The car uses its sensors to gather real-time data about its immediate surroundings or situation—primarily the road and nearby vehicles. Sense is broader than observe, and reflects (1) the fact that not all sensors rely on vision, and (2) that they do not evaluate the meaning of the data they collect and transmit.
Perception: The car interprets the data transmitted by the sensors and makes sense of it using machine learning and AI. Tesla developed its own supercomputer, Dojo, to train on-board intelligence based on data from its entire fleet of cars to improve the accuracy of perception and decision-making.
Decision making: The car chooses one of the options available to it and decides on the safest course of action, again with the help of AI.
Action: The car begins to perform the action it has decided to take. Of course, there are many actuators in a modern car, but there are three main ones - the throttle for acceleration, the steering for direction, and the brake for stopping, which help the car accomplish its task and get to its destination safely.
How do companies understand cambodia whatsapp resource what’s going on around them, and how do they respond to those signals? As we thought about how companies could develop these capabilities, we looked to other situational awareness models to see what we could learn from them.
One such model, developed by military strategist John Boyd, is known as the "observe-orient-decide-act" cycle.OODA loop). His goal was to explain how fighter pilots could achieve superiority in a combat environment. Boyd's idea was that the ability to sense and react to rapidly changing conditions faster than the enemy gives a pilot a competitive advantage.
The OODA Loop describes the processes required to perceive and respond, and allows the military to develop the most efficient ways to do so. The model has found wide acceptance in both the military and businesses, which can use it as a conceptual framework for designing and developing business management processes. The goal, as in the military, is to ensure that strategic decision-making and innovation are accelerated through effective process management.
During our research, we realized that the OODA loop is very similar to the sense-perceive-decide-actuate (SPDA) model used to describe the operation of autonomous cars. In this model, the car performs the following functions in real time and continuously:
Sense: The car uses its sensors to gather real-time data about its immediate surroundings or situation—primarily the road and nearby vehicles. Sense is broader than observe, and reflects (1) the fact that not all sensors rely on vision, and (2) that they do not evaluate the meaning of the data they collect and transmit.
Perception: The car interprets the data transmitted by the sensors and makes sense of it using machine learning and AI. Tesla developed its own supercomputer, Dojo, to train on-board intelligence based on data from its entire fleet of cars to improve the accuracy of perception and decision-making.
Decision making: The car chooses one of the options available to it and decides on the safest course of action, again with the help of AI.
Action: The car begins to perform the action it has decided to take. Of course, there are many actuators in a modern car, but there are three main ones - the throttle for acceleration, the steering for direction, and the brake for stopping, which help the car accomplish its task and get to its destination safely.