"There is some confusion today as to the meaning of scientific management. This concerns itself with the nature of such management itself, with the scope or field to which such management applies, and with the aims that it desires to attain. Scientific management is simply management that is based upon actual measurement. Its skillful application is an art that must be acquired, but its fundamental principles have the exactness of scientific laws which are open to study by everyone. We have here nothing hidden or occult or secret, like the working practices of an old-time craft; we have here a science that is the result of accurately recorded, exact investigation." (Frank B Gilbreth Sr., "Applied Motion Study", 1917)
"Scientists whose work has no clear, practical implications would want to make their decisions considering such things as: the relative worth of (1) more observations, (2) greater scope of his conceptual model, (3) simplicity, (4) precision of language, (5) accuracy of the probability assignment." (C West Churchman, "Costs, Utilities, and Values", 1956)
"[...] long-range plans are most valuable when they are revised and adjusted and set anew at shorter periods. The five-year plan is reconstructed each year in turn for the following five years. The soundest basis for this change is accurate measurement of the results of the first year's experience with the plan against the target of the plan." (George S Odiorne, "Management by Objectives", 1965)
"However, and conversely, our models fall far short of representing the world fully. That is why we make mistakes and why we are regularly surprised. In our heads, we can keep track of only a few variables at one time. We often draw illogical conclusions from accurate assumptions, or logical conclusions from inaccurate assumptions. Most of us, for instance, are surprised by the amount of growth an exponential process can generate. Few of us can intuit how to damp oscillations in a complex system." (Donella H Meadows, "Limits to Growth", 1972)
"Planning and management by objectives have their point as devices for compelling thought, so long as executives don't forget that any plan worth making is inaccurate; the longer a plan takes to write, the worse it is - just because of its consumption of time. And the more they change plans to suit events, the better they will manage - if you've made a mistake, you had better admit it." (Robert Heller, "The Naked Manager: Games Executives Play", 1972)
"In management, there are few things as dangerous as a comprehensive, accurate answer to the wrong question. This is pseudo-knowledge. It easily misleads management into erroneous actions. Pseudo-knowledge has mushroomed with the advent of computers, which have made available masses of data that answer questions managers found too costly to ask before. In too many instances, however, the data are collected but not used because they answer irrelevant questions." (Dale E. Zand, "Information, Organization, and Power", 1981)
"People in general tend to assume that there is some 'right' way of solving problems. Formal logic, for example, is regarded as a correct approach to thinking, but thinking is always a compromise between the demands of comprehensiveness, speed, and accuracy. There is no best way of thinking." (James L McKenney & Peter G W Keen, Harvard Business Review on Human Relations, 1986)
"Top managers are currently inundated with reams of information concerning the organizational units under their supervision. Behind this information explosion lies a seemingly logical assumption made by information specialists and frequently accepted by line managers: if top management can be supplied with more 'objective' and 'accurate' quantified information, they will make 'better' judgments about the performance of their operating units. [...] A research study we have recently completed indicates that quantified performance information may have a more limited role than is currently assumed or envisioned; in fact, managers rely more on subjective information than they do on so called 'objective' statistics in assessing the overall performance of lower-level units." (Larry E. Greiner et al, Harvard Business Review on Human Relations, 1986)
"[...] incomplete, inaccurate, and invalid data can cause problems for an organization. These problems are not only embarrassing and awkward but will also cause the organization to lose customers, new opportunities, and market share." (Margaret Y Chu, "Blissful Data", 2004)
"So everyone has and uses mental representations. What sets expert performers apart from everyone else is the quality and quantity of their mental representations. Through years of practice, they develop highly complex and sophisticated representations of the various situations they are likely to encounter in their fields - such as the vast number of arrangements of chess pieces that can appear during games. These representations allow them to make faster, more accurate decisions and respond more quickly and effectively in a given situation. This, more than anything else, explains the difference in performance between novices and experts." (Anders Ericsson & Robert Pool, "Peak: Secrets from the New Science of Expertise", 2016)
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