Quality quotes

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Max_Born

Experience and Knowledge

“But in practical affairs, particularly in politics, men are needed who combine human experience and interest in human relations with a knowledge of science and technology. Moreover, they must be men of action and not contemplation. I have the impression that no method of education can produce people with all the qualities required. I am haunted by the idea that this break in human civilization, caused by the discovery of the scientific method, may be irreparable.”
  • Source: Max Born, My Life & My Views (1968), 57-8.
Keywords: Political_quotes Humanity_quotes Experience_quotes Interest_quotes Science_quotes Technology_quotes Contemplation_quotes Action_quotes Education_quotes Civilization_quotes Scientific_Method_quotes Practical_quotes Affair_quotes Men_quotes Need_quotes Combine_quotes Relation_quotes Knowledge_quotes Impression_quotes Produce_quotes People_quotes Quality_quotes Require_quotes Haunt_quotes Idea_quotes Break_quotes Discovery_quotes Irreparable_quotes

Robert_Boyle

Good Hypothesis

“The Requisites of a good Hypothesis are:
: That It be Intelligible.
: That It neither Assume nor Suppose anything Impossible, unintelligible, or demonstrably False.
: That It be consistent with Itself.
: That It be lit and sufficient to Explicate the Phaenomena, especially the chief.
: That It be, at least, consistent, with the rest of the Phaenomena It particularly relates to, and do not contradict any other known Phaenomena of nature, or manifest Physical Truth.
 
The Qualities and Conditions of an Excellent Hypothesis are:
: That It be not Precarious, but have sufficient Grounds In the nature of the Thing Itself or at least be well recommended by some Auxiliary Proofs.
: That It be the Simplest of all the good ones we are able to frame, at least containing nothing that is superfluous or Impertinent.
: That It be the only Hypothesis that can Explicate the Phaenomena; or at least, that do's Explicate them so well.
: That it enable a skillful naturalist to foretell future Phaenomena by the Congruity or Incongruity to it; and especially the event of such experiments as are aptly devised to examine It, as Things that ought, or ought not, to be consequent to It.”
  • Source: Robert Boyle, Boyle Papers, 37. Quoted In Barbara Kaplan (ed.), Divulging of Useful Truths in Physick: The Medical Agenda of Robert Boyle (1993), 50.
Keywords: Hypothesis_quotes Communication_quotes Obfuscation_quotes Impossibility_quotes Falsification_quotes Consistency_quotes Explanation_quotes Nature_quotes Truth_quotes Contradiction_quotes Proof_quotes Simplicity_quotes Alternative_quotes Congruity_quotes Incongruity_quotes Experiment_quotes Prediction_quotes Induction_quotes Scientific_Method_quotes Good_quotes Requisite_quotes Intelligent_quotes Assumption_quotes Suppose_quotes Unintelligent_quotes Demonstrate_quotes False_quotes Self_quotes Phenomenon_quotes Chief_quotes Physical_quotes Quality_quotes Condition_quotes Excellent_quotes Precarious_quotes Sufficient_quotes Ground_quotes Auxiliary_quotes Frame_quotes Superfluous_quotes Impertinent_quotes Enable_quotes Skill_quotes Foretell_quotes Future_quotes Event_quotes Devise_quotes Examine_quotes Consequence_quotes

Fred_Brooks

People Central

“The central question of how to improve the software art centers, as it always has, on people.”
  • Source: Brooks Jr., F. P. (1995). The Mythical Man-Month - Essays on Software Engineering (Anniversary Edition) | 1975/1995 (Anniv.). Boston. MA: Addison-Wesley. ISBN: 0201835959. Chapter 16, page 202.
Keywords: Human_Resources_quotes People_quotes Software_quotes Software_Management_quotes Quality_quotes Software_Quality_quotes Project_Management_quotes Art_quotes Central_quotes Question_quotes Improve_quotes Human_quotes

Productivity Magnitude

“Study after study shows that the very best designers produce structures that are faster, smaller, simpler, cleaner, and produced with less effort. The differences between the great and the average approach an order of magnitude.”
  • Source: Brooks Jr., F. P. (1995). The Mythical Man-Month - Essays on Software Engineering (Anniversary Edition) | 1975/1995 (Anniv.). Boston. MA: Addison-Wesley. ISBN: 0201835959. Chapter 16, page 202.
Keywords: Design_quotes People_quotes Software_quotes Productivity_quotes Quality_quotes Software_Quality_quotes Project_Management_quotes Excellence_quotes Study_quotes Designer_quotes Produce_quotes Structure_quotes Fast_quotes Simple_quotes Small_quotes Clean_quotes Effort_quotes Project_quotes Management_quotes Difference_quotes Great_quotes Average_quotes Order_quotes Magnitude_quotes

Great Designers

“A little retrospection shows that although many fine, useful software systems have been designed by committees and built by multipart projects, those software systems that have excited passionate fans are those that are the products of one or a few designing minds, great designers.”
  • Source: Brooks Jr., F. P. (1995). The Mythical Man-Month - Essays on Software Engineering (Anniversary Edition) | 1975/1995 (Anniv.). Boston. MA: Addison-Wesley. ISBN: 0201835959. Chapter 16, page 202.
Keywords: Design_quotes People_quotes Software_quotes Quality_quotes Software_Quality_quotes Project_Management_quotes Excellence_quotes Software_Management_quotes Retrospection_quotes Fine_quotes Useful_quotes System_quotes Committee_quotes Build_quotes Multipart_quotes Excited_quotes Passionate_quotes Fan_quotes Product_quotes One_quotes Few_quotes Mind_quotes Great_quotes Designer_quotes Management_quotes

Boldness in Design

“The boldest design decisions, whoever made them, have accounted for a high fraction of the goodness of the outcome. These bold decisions were made due sometimes to vision, sometimes to desperation. They were always gambles, requiring extra investment in hopes of getting a much better result.”
  • Source: Brooks Jr., F. P. (2010). The Design of Design. Upper Saddle River, NJ: Addison-Wesley. ISBN: 978-0-201-36298-5. Preface.
Keywords: Design_quotes Decision_quotes Quality_quotes Vision_quotes Desperation_quotes Gambling_quotes Hope_quotes Bold_quotes Account_quotes High_quotes Fraction_quotes Good_quotes Outcome_quotes Investment_quotes Better_quotes Result_quotes

W_Edwards_Deming

Quality and Inspection

"Quality comes not from inspection, but from improvement of the production process."
  • Source: W. Edwards Deming (1982) Out Of The Crisis. The MIT Press. (2e ed. 1986) p. 29.
Keywords: Quality_quotes Inspection_quotes Testing_quotes Production_quotes Improvement_quotes Process_quotes

Mass Inspection and Quality

"We cannot rely on mass inspection to improve quality, though there are times when 100 percent inspection is necessary. As Harold S. Dodge said many years ago, 'You cannot inspect quality into a product.' The quality is there or it isn't by the time it's inspected."
  • Source: W. Edwards Deming (1982) Out Of The Crisis. The MIT Press. (2e ed. 1986) p. 139.
Keywords: Inspection_quotes Testing_quotes Improve_quotes Quality_quotes Rely_quotes Mass_quotes Product_quotes

Edsger_Wybe_Dijkstra

Testing Bug Presence

“Testing shows the presence, not the absence of bugs.“
  • Source: Dijkstra (1969) J.N. Buxton and B. Randell, eds, Software Engineering Techniques, April 1970, p. 16. Report on a conference sponsored by the NATO Science Committee, Rome, Italy, 27–31 October 1969.
Keywords: Testing_quotes Bug_quotes Quality_quotes Presense_quotes Absence_quotes Show_quotes

Peter_Drucker

Big University Relics

“Thirty years from now the big university campuses will be relics. Universities won't survive. It's as large a change as when we first got the printed book. Do you realize that the cost of higher education has risen as fast as the cost of health care? And for the middle-class family, college education for their children is as much of a necessity as is medical care — without it the kids have no future. Such totally uncontrollable expenditures, without any visible improvement in either the content or the quality of education, means that the system is rapidly becoming untenable. Higher education is in deep crisis.”
  • Source: Peter Drucker, “Seeing Things as They Really Are”, Forbes (March 10, 1997)
Keywords:Year_quotes Big_quotes University_quotes Education_quotes Relic_quotes Survival_quotes Large_quotes Change_quotes First_quotes Printing_quotes Book_quotes Cost_quotes High_quotes Rise_quotes Fast_quotes Health_quotes Care_quotes Middle_quotes Class_quotes Family_quotes College_quotes Children_quotes Necessary_quotes Medicine_quotes Future_quotes Total_quotes Control_quotes Expense_quotes Visibility_quotes Improve_quotes Content_quotes Quality_quotes System_quotes Rapid_quotes Become_quotes Untenable_quotes Uncontrollable_quotes Deep_quotes Crisis_quotes Campus_quotes

Galileo

Taste Color Consciousness

“I think that tastes, odors, colors, and so on are no more than mere names so far as the object in which we locate them are concerned, and that they reside only in the consciousness. Hence if the living creature were removed, all these qualities would be wiped away and annihilated”
  • Source: Galileo Galilei, in The Assayer, published 1623, as reprinted in Discoveries and Opinions of Galileo, translated by Stillman Drake, published 1957, page 274.
Keywords: Think_quotes Taste_quotes Odor_quotes Color_quotes Name_quotes Object_quotes Reside_quotes Consciousness_quotes Living_quotes Creature_quotes Remove_quotes Quality_quotes Wipe_quotes Annihilate_quotes

Aldous_Huxley

Science without Art

“The peoples of the West no longer share a literature and a system of ancient wisdom. All that they now have in common is science and information. Now, science is knowledge, not wisdom; deals with quantities, not with the qualities of which we are immediately aware. In so far as we are enjoying and suffering beings, its words seem to us mostly irrelevant and beside the point. Moreover, these words are arranged without art; therefore possess no magical power and are incapable of propping or moulding the mind of the reader.”
  • Source: Aldous Huxley (1936). An essay entitled Words and Behavior within the book The Olive Tree and Other Essays, published by Harper and Brothers, ASIN: B08VNTBLY4.
Keywords: People_quotes West_quotes Sharing_quotes Literature_quotes System_quotes Ancient_quotes Wisdom_quotes Common_quotes Science_quotes Information_quotes Knowledge_quotes Deal_quotes Quantity_quotes Quality_quotes Aware_quotes Enjoy_quotes Suffering_quotes Being_quotes Relevance_quotes Point_quotes Word_quotes Arrangement_quotes Art_quotes Possess_quotes Magic_quotes Power_quotes Capability_quotes Prop_quotes Mold_quotes Mind_quotes Reading_quotes

Capers_Jones

Quality Software

“High-quality software is not expensive. High-quality software is faster and cheaper to build and maintain than low-quality software, from initial development all the way through total cost of ownership.”
  • Source: The Economics of Software Quality by Capers Jones and Oliver Bonsignour, 2011, chapter 7.
Keywords: Quality_quotes Software_quotes Software_Engineering_quotes Cost_quotes Fast_quotes Project_Management_quotes Expensive_quotes Cheap_quotes Maintain_quotes Development_quotes Total_quotes Ownership_quotes

Daniel_Kahneman

Confidence

“The confidence that individuals have in their beliefs depends mostly on the quality of the story they can tell about what they see, even if they see little.”
Keywords: Confidence_quotes Individual_quotes Belief_quotes Dependence_quotes Quality_quotes Story_quotes Sight_quotes Bias_quotes

Kenneth_W_Kolence

Large System Evolution

“Large systems must evolve, and cannot be produced all at one time. You must have an initial small core system that works really well.”
Keywords: Large_quotes System_quotes Evolution_quotes Production_quotes Incremental_quotes Concurrent_quotes Time_quotes Small_quotes Core_quotes Quality_quotes Initial_quotes Work_quotes Well_quotes

Peter_Medawar

Scientific Creativity

“To be creative, scientists need libraries and laboratories and the company of other scientists; certainly, a quiet and untroubled life is a help. A scientist's work is in no way deepened or made more cogent by privation, anxiety, distress, or emotional harassment. To be sure, the private lives of scientists may be strangely and even comically mixed up, but not in ways that have any special bearing on the nature and quality of their work. If a scientist were to cut off an ear, no one would interpret such an action as evidence of an unhappy torment of creativity; nor will a scientist be excused any bizarrerie, however extravagant, on the grounds that he is a scientist, however brilliant.”
  • Source: Sir Peter B. Medawar, In Advice to a Young Scientist (1979), 40
Keywords: Creativity_quotes Science_quotes Library_quotes Laboratory_quotes Quiet_quotes Trouble_quotes Life_quotes Deep_quotes Cogent_quotes Privation_quotes Anxiety_quotes Distress_quotes Emotion_quotes Harass_quotes Privacy_quotes Strange_quotes Comical_quotes Mixed_Up_quotes Special_quotes Nature_quotes Work_quotes Cut_quotes Ear_quotes Interpretation_quotes Action_quotes Evidence_quotes Unhappy_quotes Torment_quotes Bizarre_quotes Extravagent_quotes Grounds_quotes Brilliant_quotes Help_quotes Bearing_quotes Quality_quotes Excuse_quotes

Alan_Perlis

Error-Free Programs

“There are two ways to write error-free programs; only the third one works.”
Keywords: Error_quotes Free_quotes Quality_quotes Defect_quotes Program_quotes Programming_quotes Writing_quotes Work_quotes Way_quotes

Computing Fun

“I think that it's extraordinarily important that we in computer science keep fun in computing. When it started out, it was an awful lot of fun. Of course, the paying customers got shafted every now and then, and after a while we began to take their complaints seriously. We began to feel as if we really were responsible for the successful, error-free perfect use of these machines. I don't think we are. I think we're responsible for stretching them, setting them off in new directions, and keeping fun in the house. I hope the field of computer science never loses its sense of fun. Above all, I hope we don't become missionaries. Don't feel as if you're Bible salesmen. The world has too many of those already. What you know about computing other people will learn. Don't feel as if the key to successful computing is only in your hands. What's in your hands, I think and hope, is intelligence: the ability to see the machine as more than when you were first led up to it, that you can make it more.”
  • Source: Quoted in The Structure and Interpretation of Computer Programs by Hal Abelson, Gerald Jay Sussman and Julie Sussman (McGraw-Hill, 2nd edition, 1996).
Keywords: Thinking_quotes Importance_quotes Computer_Science_quotes Computing_quotes Fun_quotes Pay_quotes Customer_quotes Shaft_quotes Complaint_quotes Serious_quotes Responsibility_quotes Success_quotes Error_quotes Error-Free_quotes Perfect_quotes Machine_quotes Quality_quotes Defect_quotes Stretch_quotes Innovation_quotes New_quotes Direction_quotes House_quotes Field_quotes Loss_quotes Sense_quotes Missionary_quotes Evangelism_quotes Bible_quotes Salesman_quotes World_quotes Knowledge_quotes Learning_quotes Feel_quotes Key_quotes Hand_quotes Intelligence_quotes Ability_quotes Sight_quotes First_quotes Extraordinary_quotes Science_quotes Learn_quotes

Erwin_Schrödinger

Observation and Theory

“Scientific theories serve to facilitate the survey of our observations and experimental findings... This procedure, while very useful for our remembering the facts in a well-ordered pattern, tends to obliterate the distinction between the actual observations and the theory arisen from them. And since the former always are of some sensual quality, theories are easily thought to account for sensual qualities; which, of course, they never do.”
  • Source: Erwin Schrödinger in the book “Mind and Matter”, chapter 6. Contained within the anthology “What is Life? The Physical Aspect of the Living Cell with Mind and Matter and Autobiographical Sketches”. Published in 1992 and reprinted in 2013 by Cambridge University Press, New York, NY. ISBN: 9781107604667. Online at <http://strangebeautiful.com/other-texts/schrodinger-what-is-life-mind-matter-auto-sketches.pdf> retrieved 2024. Note: “Mind and Matter” originally published separately in 1944.
Keywords: Science_quotes Theory_quotes Serve_quotes Facilitate_quotes Survey_quotes Observation_quotes Experiment_quotes Finding_quotes Procedure_quotes Useful_quotes Remember_quotes Fact_quotes Pattern_quotes Tend_quotes Obliterate_quotes Distinction_quotes Actual_quotes Arise_quotes Sensual_quotes Quality_quotes Easy_quotes Thought_quotes Account_quotes

Herbert_Simon

Data for Planning

“The quality of design is likely to depend heavily on the quality of the data available. The task is not to design without data but to incorporate assessments of the quality of the data, or its lack of quality, in the design process itself.”
Keywords: Quality_quotes Design_quotes Dependency_quotes Heavy_quotes Data_quotes Task_quotes Incorporate_quotes Assessment_quotes Lack_quotes Process_quotes

Shannon_Vallor

AI Data

“Only a modest subset of what is representable in digital form can be generated or stored in sufficient quantity and quality to be useful... An event that only happens once in a generation, or to one person in a billion, even if it is world-altering, is virtually invisible to a machine learning model.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Chapter 2, page 48.
Keywords: Modest_quotes Subset_quotes Represent_quotes Digital_quotes Form_quotes Generate_quotes Store_quotes Sufficient_quotes Quantity_quotes Quality_quotes Useful_quotes Event_quotes Happen_quotes Once_quotes Generation_quotes Person_quotes One_quotes Billion_quotes World_quotes Alter_quotes Virtual_quotes Invisible_quotes Machine_quotes Learn_quotes Model_quotes Data_quotes AI_quotes Artificial_quotes Intelligence_quotes

Gerald_Weinberg

Knowledge Came Slowly

“In ages past, the knowledge came very slowly, and one man in his life was not likely to see much change other than that wrought by nature. The controlled incorporation of arsenic into copper to make bronze took several thousand years to develop; the substitution of tin for the more dangerous arsenic took another thousand or two. In our modern age, laboratories turn out an alloy a day, or more, with properties made to order. The alloying of metals led to the rise and fall of civilizations, but the changes were too slow to be appreciated. A truer blade meant victory over the invaders, but changes were local and slow enough to be absorbed by a million tiny adjustments without destroying the species. With an alloy a day, we can no longer be sure. Science and engineering have been the catalysts for the unprecedented speed and magnitude of change. The physicist shows us how to harness the power of the nucleus; the chemist shows us how to increase the quantity of our food; the geneticist shows us how to improve the quality of our children. But science and engineering have been unable to keep pace with the second-order effects produced by their first-order victories. The excess heat from the nuclear generator alters the spawning pattern of fish, and, before adjustments can be made, other species have produced irreversible changes in the ecology of the river and its borders. The pesticide eliminates one insect only to the advantage of others that may be worse, or the herbicide clears the rain forest for farming, but the resulting soil changes make the land less productive than it was before. And of what we are doing to our progeny, we still have only ghastly hints. Some have said the general systems movement was born out of the failures of science, but it would be more accurate to say the general systems approach is needed because science has been such a success. Science and technology have colonized the planet, and nothing in our lives is untouched. In this changing, they have revealed a complexity with which they are not prepared to deal. The general systems movement has taken up the task of helping scientists unravel complexity, technologists to master it, and others to learn to live with it.”
  • Source: Weinberg, Gerald (2011-04-07). An Introduction to General Systems Thinking (Kindle Locations 264-267). Weinberg & Weinberg. Kindle Edition.
Keywords: History_quotes Knowledge_quotes Slow_quotes Humanity_quotes Life_quotes Change_quotes Nature_quotes Arsenic_quotes Copper_quotes Bronze_quotes Technology_quotes Tin_quotes Metal_quotes Laboratory_quotes Property_quotes On_Demand_quotes Rise_quotes Fall_quotes Civilization_quotes Appreciation_quotes Victory_quotes Blade_quotes Invader_quotes Adjustment_quotes Species_quotes Science_quotes Engineering_quotes Catalyst_quotes Speed_quotes Physics_quotes Chemistry_quotes Food_quotes Genetics_quotes Quality_quotes Children_quotes Effect_quotes Heat_quotes Fish_quotes Irreversible_quotes Ecology_quotes River_quotes Pesticide_quotes Insect_quotes Herbicide_quotes Forest_quotes Farming_quotes Soil_quotes Productivity_quotes Progeny_quotes System_quotes Failure_quotes Accuracy_quotes Colonize_quotes Planet_quotes Earth_quotes Complexity_quotes Preparation_quotes Man_quotes Nucleus_quotes Quantity_quotes Second-order_quotes First-order_quotes Nuclear_quotes Generator_quotes Alter_quotes Spawn_quotes Pattern_quotes Border_quotes Eliminate_quotes Advantage_quotes Worse_quotes Rain_quotes Land_quotes Ghastly_quotes Hint_quotes General_quotes Approach_quotes Success_quotes Accurate_quotes Say_quotes Untouch_quotes Reveal_quotes Master_quotes Learn_quotes

Small Teams More Efficient

“In any case, the basic rule for size and composition of programming teams would seem to be this — for the best programming at the least cost, give the best possible programmers you can find sufficient time so you need the smallest number of them. When you have to work faster, or with less experienced people, costs and uncertainties will rise. In any case, the worst way to do a programming project is to hire a horde of trainees and put them to work under pressure and without supervision — although this is the most common practice today.”
  • Source: Chapter 5. Weinberg, G. M. (2011). The Psychology of Computer Programming (Silver anniversary edition) | 1971. Weinberg & Weinberg.
Keywords: Rule_quotes Size_quotes Programming_quotes Programmer_quotes Team_quotes Cost_quotes Slack_quotes Time_quotes Fast_quotes Experience_quotes People_quotes Hiring_quotes Training_quotes Pressure_quotes Supervision_quotes Management_quotes Practice_quotes Common_quotes Basic_quotes Composition_quotes Quality_quotes Small_quotes Rise_quotes Uncertainty_quotes Worse_quotes Way_quotes Project_quotes Horde_quotes Trainee_quotes Work_quotes

Shoshana_Zuboff

Natural Attitude

“The most treacherous enemy of such research is what philosophers call ‘the natural attitude,’ our capacity to live daily life in a way that takes for granted the objects and activities that surround us. Even when we encounter new objects in our environment, our tendency is to experience them in terms of categories and qualities with which we are already familiar. The natural attitude allows us to assume and predict a great many things about each other's behavior without first establishing premises at the outset of every interaction. The natural attitude can also stand in the way of awareness, for ordinary experience has to be made extraordinary in order to become accessible to reflection. This occurs when we encounter a problem: when our actions do not yield the expected results, we are caught by surprise and so are motivated to reflect upon our initial assumptions. Awareness requires a rupture with the world we take for granted; then old categories of experience are called into question and revised.”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 13. ISBN:0465032125.
Keywords: Enemy_quotes Research_quotes Natural_quotes Attitude_quotes Capacity_quotes Object_quotes Activity_quotes Environment_quotes Experience_quotes Category_quotes Quality_quotes Familiarity_quotes Assumption_quotes Prediction_quotes Behavior_quotes Premise_quotes Interaction_quotes Problem_quotes Awareness_quotes Extraordinary_quotes Accessibility_quotes Reflection_quotes Thinking_quotes Expectation_quotes Result_quotes Surprise_quotes Motivation_quotes World_quotes Rupture_quotes Question_quotes Revision_quotes Treacherous_quotes Philosopher_quotes Call_quotes Live_quotes Daily_quotes Way_quotes Surround_quotes Outset_quotes Stand_quotes Ordinary_quotes Action_quotes Yield_quotes Initial_quotes

Panopticon Coaching

“To be sure, some managers saw the enhanced certainty of their information about subordinates as an opportunity to accelerate learning and improve performance. They found that the data from the Overview System made it possible to survey a wide range of behavior for evidence of irregularities. To the extent that the sources of such irregularities could be discovered, the data could be used to 'coach' subordinates and to help them realign their behavior within acceptable standards... On the other hand, many of Cedar Bluff's managers were more interested in the possibility of obtaining foolproof data than in the opportunity of using such data for coaching. In the context of a conventional technology, managers had to rely on their subordinates for valid information. The quality of the data they received was likely to be a function of the quality of the reciprocal relationship they had established. In contrast, an informating technology could provide valid information under any conditions.”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 324. ISBN:0465032125.
Keywords: Panopticon_quotes Management_quotes Certainty_quotes Information_quotes Subordinate_quotes Opportunity_quotes Learning_quotes Improvement_quotes Performance_quotes Data_quotes Surveillance_quotes Behavior_quotes Evidence_quotes Irregularity_quotes Discovery_quotes Coaching_quotes Alignment_quotes Acceptability_quotes Standards_quotes Possibility_quotes Foolproof_quotes Convention_quotes Technology_quotes Reliance_quotes Dependency_quotes Validity_quotes Quality_quotes Reciprocal_quotes Relationship_quotes Condition_quotes Reliability_quotes Enhance_quotes Accelerate_quotes Overview_quotes System_quotes Survey_quotes Wide_quotes Range_quotes Source_quotes Help_quotes Realign_quotes Acceptable_quotes Manager_quotes Interest_quotes Context_quotes Conventional_quotes Rely_quotes Valid_quotes Information_quotes Quality_quotes Receive_quotes Function_quotes Relationship_quotes Establish_quotes Contrast_quotes Informate_quotes

Technology Change

“To fully grasp the way in which a major new technology can change the world... it is necessary to consider both the manner in which it creates intrinsically new qualities of experience and the way in which new possibilities are engaged by the often-conflicting demands of social, political, and economic interests in order to produce a 'choice.' To concentrate only on intrinsic change and the texture of an emergent mentality is to ignore the real weight of history and the diversity of interests that pervade collective behavior. However, to narrow all discussion of technological change to the play of these interests overlooks the essential power of technology to reorder the rules of the game and thus our experience as players. Moreover, these two dimensions of technological change, the intrinsic and the contingent, need to be understood, not separately, but in relation to one another. The same innovation that abstracts work and increases its intellectual content, thus enhancing the learning of lower level employees... can also, within the context of the choices by which it is adapted, be experienced as a new source of divisiveness and control.”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 389. ISBN:0465032125.
Keywords: Technology_quotes Change_quotes World_quotes Consideration_quotes Intrinsic_quotes Quality_quotes Experience_quotes Possibility_quotes Conflict_quotes Demand_quotes Society_quotes Political_quotes Economics_quotes Interest_quotes Choice_quotes Concentration_quotes Emergence_quotes Thinking_quotes Mental_quotes History_quotes Diversity_quotes Collectivism_quotes Behavior_quotes Discussion_quotes Power_quotes Rule_quotes Game_quotes Play_quotes Contingent_quotes Understanding_quotes Relationship_quotes Innovation_quotes Abstraction_quotes Work_quotes Intellectualism_quotes Learning_quotes Employee_quotes Divisiveness_quotes Control_quotes Grasp_quotes Way_quotes Major_quotes New_quotes Manner_quotes Create_quotes Engage_quotes Texture_quotes Real_quotes Weight_quotes Pervade_quotes Narrow_quotes Overlook_quotes Reorder_quotes Player_quotes Dimension_quotes Increase_quotes Enhance_quotes Lower_quotes Level_quotes Context_quotes Adapt_quotes Source_quotes

Management Circles Around Data

“As the intellective skill base becomes the organization's most precious resource, managerial roles must function to enhance its quality. Members can be thought of as being arrayed in concentric circles around a central core, which is the electronic data base.”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 396. ISBN:0465032125.
Keywords: Intellectualism_quotes Skill_quotes Circle_quotes Organization_quotes Resource_quotes Management_quotes Quality_quotes Database_quotes Data_quotes Base_quotes Precious_quotes Role_quotes Function_quotes Enhance_quotes Member_quotes Concentric_quotes Central_quotes Core_quotes Electronic_quotes

Panopticon Coaching

“To be sure, some managers saw the enhanced certainty of their information about subordinates as an opportunity to accelerate learning and improve performance. They found that the data from the Overview System made it possible to survey a wide range of behavior for evidence of irregularities. To the extent that the sources of such irregularities could be discovered, the data could be used to 'coach' subordinates and to help them realign their behavior within acceptable standards... On the other hand, many of Cedar Bluff's managers were more interested in the possibility of obtaining foolproof data than in the opportunity of using such data for coaching. In the context of a conventional technology, managers had to rely on their subordinates for valid information. The quality of the data they received was likely to be a function of the quality of the reciprocal relationship they had established. In contrast, an informating technology could provide valid information under any conditions.”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 324. ISBN:0465032125.
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