Consider, for example, the mechanical precision with which many of our institutions are expected to operate. Organizational life is often routinized with the precision demanded of clockwork. People are frequently expected to arrive at work at a given time, perform a predetermined set of activities, rest at appointed hours, and then resume their tasks until work is over. In many organizations, one shift of workers replaces another in methodical fashion so that work can continue uninterrupted twenty-four hours a day every day of the year. Often, the work is very mechanical and repetitive. Anyone who has observed work in the mass-production factory or in any of the large “office factories” processing paper forms such as insurance claims, tax returns, or bank checks will have noticed the machine-like way in which such organizations operate. They are designed like machines, and their employees are in essence expected to behave as if they were parts of machines.

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As we look around the organizational world we begin to see that it is possible to identify different species of organization in different kinds of environments. Just as we find polar bears in arctic regions, camels in deserts, and alligators in swamps, we notice that certain species of organization are better ‘‘adapted’’ to specific environmental conditions than others. We find that bureaucratic organizations tend to work most effectively in environments that are stable or protected in some way and that very different species are found in more competitive and turbulent regions, such as the environments of high-tech firms in the aerospace and microelectronics industries.

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In the most basic sense, imaginization invites a way of thinking. It encourages us to become our own theorists and to feel comfortable about acting on the basis our insights. It invites us to develop a skill that I believe we all have, even though we may not realize that this is the case. By recognizing this, and thinking creatively and intelligently about ourselves and our situations, we can 'push the envelope' on our realities and reshape them positively.

To self-regulate, learning systems must be able to 1. Sense, monitor and scan significant aspects of their environment, 2. Relate this information to the operating norms that guide system behavior 3. Detect significant deviations from these norms, and 4. Initiate corrective action when discrepancies are detected. If these four conditions are satisfied, a continuous process of information exchange is created between a system and its environment, allowing the system to monitor changes and initiate appropriate responses. In this way, the system can operate in an intelligent, self-regulating manner.

Organizations are complex and paradoxical phenomena that can be understood in many different ways. Many of our taken-for-granted ideas about organizations are metaphorical, even though we may not recognize them as such. For example, we frequently talk about organizations as if they were machines designed to achieve predetermined goals and objectives, and which should operate smoothly and efficiently. And as a result of this kind of thinking, we often attempt to organize and manage them in a mechanistic way, forcing their human qualities into a background role. By using different metaphors to understand the complex and paradoxical character of organizational life, we are able to manage and design organizations in ways that we may not have thought possible before.