Russell L. Ackoff Quotes

Because a cause was taken to be sufficient for its effect, nothing was required to explain the effect other than the cause. Consequently, the quest for causes was environment-free. It employed what we now call 'closed-system' thinking. Laws. —like that of freely falling bodies—-were formulated so as to exclude environmental effects.

In proactive problem solving we specify where we want to go, and we try to get there. Although such an approach does not eliminate the possibility of overlooking relevant consequences of our solutions, it reduces the probability of doing so. The more ultimate the desired outcome we specify, the more likely we are to consider the intermediate and long-run consequences of our immediate actions. The more immediate the source of dissatisfaction we try to get rid of, the less likely we are to take account of relevant consequences. Therefore, the chances of overlooking relevant consequences are minimized when we formulate a problem in terms of approaching one or more ideals.

I began graduate work in the philosophy of sciences at the University of Pennsylvania in 1941 where I came under the influence of the “grand old man” of the department, the eminent philosopher E.A. Singer, Jr. Because of the informality of the department he created I began to collaborate with two younger members of the faculty, both of whom were former students of Singer, Thomas A. Cown and C. West Churchman. Three aspects of Singer's philosophy had a particularly strong influence on me. First, that the practice of philosophy, its application, was necessary for the development of philosophy itself. Second, that effective work on “real” problems required an interdisciplinary approach. Third, that the social area needed more work than any of the other domains of science and that this was the most difficult. We developed a concept of a research group that would enable us to practice philosophy in the social domain by dealing with real problems. The organization we designed was called “The Institute of Experimental Method.” With the participation of a number of other graduate students in philosophy and a few other members of the faculty we started this institute on a completely informal basis.

When a business is bought, it is bought for its potential—for its future, not its past.

[Mistake 2:] Managers need all the information they want. Most MIS designers "determine" what information is needed by asking managers what information they would like to have. This is based on the assumption that managers know what information they need and want.

In the Systems Age we tend to look at things as part of larger wholes rather than as wholes to be taken apart. This is the doctrine of expansionism. Expansionism brings with it the synthetic mode of thought much as reductionism brought with it.

Every culture has a shared pattern of thinking. It is the cement that holds a culture together, gives it unity. A culture's characteristic way of thinking is imbedded in its concept of the nature of reality, its world view.

Scientific models have all these connotations. They are representations of states, objects, and events. They are idealized in the sense that they are less complicated than reality and hence easier to use for research purposes. These models are easier to manipulate and "carry" than the real thing. The simplicity of models, compared with reality, lies in the fact that only the relevant properties of reality are represented.

Successful problem solving requires finding the right solution to the right problem. We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem.

A system is more than the sum of its parts; it is an indivisible whole. It loses its essential properties when it is taken apart. The elements of a system may themselves be systems, and every system may be part of a larger system.

The development (rather than the history) of operations research as a science consists of the development of its methods, concepts, and techniques. Operations research is neither a method nor a technique; it is or is becoming a science and as such is defined by a combination of the phenomena it studies.

Systems science and technology constitute one aspect of systems thinking, but the humanities and arts make up the other. The fact that design plays such a large part in the systemic treatment of problems makes it apparent that art has a major role in it as well. Ethics and aesthetics are integral aspects of evaluating systems... the systems approach involves the pursuit of truth (science) and its effective use (technology), plenty (economics), the good (ethics and morality), and beauty and fun (aesthetics). To compare systems methodology with that of any of the so-called ‘hard’ disciplines—for example, physics—is to misunderstand the nature of systems. The worry is not that the systems approach is not scientific in the sense which physics or chemistry or biology is, but that some try to make it scientific in that sense. To the extent they succeed, they destroy it.

An organization's mission statement (1) should contain its reasons for existence and its most general aspirations, its ideals. (2) It should identify in very general terms the way(s) by which the organization will pursue its ideals, that is, the business it wants to be in. (3) It should formulate the ways by which it will attempt to serve each of its stakeholder groups. (4) It should meet the preceding requirements in a way that is exciting and challenging to all its stakeholders. Finally, (5) it should establish the uniqueness of the organization.

Knowledge is the appropriate collection of information, such that it's intent is to be useful. Knowledge is a deterministic process. When someone "memorizes" information (as less-aspiring test-bound students often do), then they have amassed knowledge. This knowledge has useful meaning to them, but it does not provide for, in and of itself, an integration such as would infer further knowledge.

Because we cannot yet (1) characterize all the possible experimental designs along quantitative scales and (2) generate cost-of-error functions, comparisons must be made in specific contexts rather than by use of analytic optimizing.