Showing posts with label framework. Show all posts
Showing posts with label framework. Show all posts

29 July 2019

💻IT: Standardization (Definitions)

"The imposition of standards which, in turn, are fixed ways of doing things that are widely recognized." (Roy Rada &  Heather Holden, "Online Education, Standardization, and Roles", 2009)

"Formulation, publication, and implementation of guidelines, rules, methods, procedures and specifications for common and repeated use, aimed at achieving optimum degree of order or uniformity in given context, discipline, or field; standards are most frequently developed on international level; there exist national standardization bodies cooperating with international bodies; standards can be either legally binding or de facto standards followed by informal convention or voluntary standards (recommendations)." (Lenka Lhotska et al,"Interoperability of Medical Devices and Information Systems", 2013)

"A framework of agreements to which all relevant parties in an industry or organization must adhere to ensure that all processes associated with the creation of a good or performance of a service are performed within set guideline." (Victor A Afonso & Maria de Lurdes Calisto, "Innovation in Experiential Services: Trends and Challenges", 2015)

"The development of uniform specifications for materials, products, processes, practices, measurement, or performance, usually via consultation with stakeholders and sanction by a recognized body, providing for improvements in productivity, interoperability, cooperation, and accountability." (Gregory A Smith, "Assessment in Academic Libraries", 2015)

"A process of developing and implementing technical standards based on consensus among various stakeholders in the field. Standardization can greatly assist with compatibility and interoperability of otherwise disparate software components, where consistent solutions enable mutual gains for all stakeholders." (Krzysztof Krawiec et al, "Metaheuristic Design Patterns: New Perspectives for Larger-Scale Search Architectures", 2018)

"The process through which a standard is developed." (Kai Jakobs, "ICT Standardization", 2018)

"Is a framework of agreements to which professionals in an organization must accept to ensure that all processes associated with the creation of a product or service are performed within set guidelines, achieving uniformity to certain practices or operations within the selected environment. It can be seen as a professional strategy to strengthen professional trust and provide a sense of certainty for professionals or it can be interpreted as a way to lose professionalization and as an adjustment to organizational demands." (Joana V Guerra, "Digital Professionalism: Challenges and Opportunities to Healthcare Professions", 2019)

"The process of making things of the same kind, including products and services, have the same basic features and the same requirements." (Julia Krause, "Through Harmonization of National Technical Regulations to More Sustainability in Engineering Business", 2019)

24 July 2019

💻IT: Information Technology Information Library [ITIL] (Definitions)

"A series of documents used to aid the implementation of a framework for IT service management (ITSM). This framework defines how service management is applied in specific organizations. Being a framework, it is completely customizable for an application within any type of business or organization that has a reliance on IT infrastructure." (Tilak Mitra et al, "SOA Governance", 2008)

"A framework and set of standards for IT governance based on best practices." (Judith Hurwitz et al, "Service Oriented Architecture For Dummies" 2nd Ed., 2009)

"A framework of supplier independent best practice management procedures for delivery of high quality IT services." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"a set of guidelines for developing and managing IT operations and services." (Bill Holtsnider & Brian D Jaffe, "IT Manager's Handbook" 3rd Ed., 2012)

"A framework and set of standards for IT governance based on best practices." (Marcia Kaufman et al, "Big Data For Dummies", 2013)

"A group of books written and released by the United Kingdom’s Office of Government and Commerce (OGC). ITIL documents best practices organizations can implement to provide consistent IT services. The library includes five books." (Darril Gibson, "Effective Help Desk Specialist Skills", 2014)

"A set of process-oriented best practices and guidance originally developed in the United Kingdom to standardize delivery of informational technology service management." (Robert F Smallwood, "Information Governance: Concepts, Strategies, and Best Practices", 2014)

"Best practices for information technology services management processes developed by the United Kingdom’s Office of Government Commerce." (Adam Gordon, "Official (ISC)2 Guide to the CISSP CBK" 4th Ed., 2015)

"The IT Infrastructure Library; a set of best practice publications for IT service management." (by Brian Johnson & Leon-Paul de Rouw, "Collaborative Business Design", 2017)

"The Information Technology Infrastructure Library (ITIL) presents pre-defined processes for IT service management. The fourth edition of ITIL depicts two key elements ITIL Service-Value-System (SVS) and a four dimensions model." (Anna Wiedemann et al, "Transforming Disciplined IT Functions: Guidelines for DevOps Integration", 2021)

"set of best practices guidance" (ITIL)

12 July 2019

💻IT: IT Governance (Definitions)

"Framework for the leadership, organizational structures and business processes, standards and compliance to these standards, which ensure that the organization’s IT supports and enables the achievement of its strategies and objectives." (Alan Calder, "IT Governance: Guidelines for Directors", 2005)

"The processes, policies, relationships, and mechanisms that ensure that information technology delivers business value while balancing risk and investment decisions. IT governance ensures accountability and provides rigor for managing IT capabilities in the context of a larger corporate governance framework." (Evan Levy & Jill Dyché, "Customer Data Integration", 2006)

"Addresses the application of governance to an IT organization and its people, processes, and information to guide the way those assets support the needs of the business. It may be characterized by assigning decision rights and measures to processes." (Tilak Mitra et al, "SOA Governance", 2008)

"IT governance is the system and structure for defining policy and monitoring and controlling the policy implementation, and managing and coordinating the procedures and resources aimed at ensuring the efficient and effective execution of services." (Anton Joha & Marijn Janssen, "The Strategic Determinants of Shared Services", 2008)

"The discipline of managing IT as a service to the business, aligning IT objectives with business goals." (Allen Dreibelbis et al, "Enterprise Master Data Management", 2008)

"An integral part of enterprise governance and consists of the leadership and organizational structures and processes that ensure the enterprise’s IT sustains and extends the organization’s strategies and objectives." (Edephonce N Nfuka & Lazar Rusu, IT Governance in the Public Sector in a Developing Country, 2009)

"(1) Locus of IT decision-making authority (narrow definition). (2) The distribution of IT decision-making rights and responsibilities among different stakeholders in the organization, and the rules and procedures for making and monitoring decisions on strategic IT concerns (comprehensive definition)." (Ryan R Peterson, "Trends in Information Technology Governance", 2009)

"Structure of relationships and processes to direct and control the IT enterprise to achieve IT’s goals by adding value while balancing risk versus return over IT and its processes." (IT Governance Institute, "IT Governance Implementation Guide, Using COBIT and Val IT", 2010)

"The discipline of tracking, managing, and steering an IS/IT landscape. Architectural governance is concerned with change processes (design governance). Operational governance looks at the operational performance of systems against contracted performance levels, the definition of operational performance levels, and the implementation of systems that ensure the effective operation of systems." (David Lyle & John G Schmidt, "Lean Integration", 2010)

"Formally established statements that direct the policies regarding IT alignment with organizational goals and allocation of resources." (Linda Volonino & Efraim Turban, "Information Technology for Management 8th Ed", 2011)

"Supervision monitoring and control of an organization's IT assets." (Linda Volonino & Efraim Turban, "Information Technology for Management" 8th Ed, 2011)

"The processes and relationships that lead to reasoned decision making in IT." (Steven Romero, "Eliminating ‘Us and Them’", 2011)

"The function of ensuring that the enterprise's IT activities match and support the organization's strategies and objectives. Governance is very often associated with budgeting, project management, and compliance activities." (Bill Holtsnider & Brian D Jaffe, "IT Manager's Handbook" 3rd Ed, 2012)

"Controls and process to improve the effectiveness of information technology; also, the primary way that stakeholders can ensure that investments in IT create business value and contribute toward meeting business objectives." (Robert F Smallwood, "Information Governance: Concepts, Strategies, and Best Practices", 2014)

"Processes used to ensure that IT resources are aligned with the goals of the organization. Organizations often use frameworks to help them with IT governance." (Darril Gibson, "Effective Help Desk Specialist Skills", 2014)

"The framework of rules and practices by which an organization structures its technology decision-making process in order to ensure alignment of the organization's business strategy with its operations." (David K Pham, "From Business Strategy to Information Technology Roadmap", 2016)

"Set of methods and techniques for reaching full alignment between business strategy and IT strategy." (Dalia S Vugec, "IT Strategic Grid: A Longitudinal Multiple Case Study", 2019)

"The processes that ensure the effective and efficient use of IT in enabling an organization to achieve its goals." (Lili Aunimo et al, "Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry", 2019)

"The structures, processes, and mechanisms by which the current and future use of ICT is directed and controlled." (Konstantinos Tsilionis & Yves Wautelet, "Aligning Strategic-Driven Governance of Business IT Services With Their Agile Development: A Conceptual Modeling-Based Approach", 2021)

"IT governance (ITG) is defined as the processes that ensure the effective and efficient use of IT in enabling an organization to achieve its goals." (Gartner)

"The system by which the current and future use of IT is directed and controlled, Corporate Governance of IT involves evaluating and directing the use of IT to support the organisation and monitoring this use to achieve plans." (ISO/IEC 38500)

12 December 2018

🔭Data Science: Theory (Just the Quotes)

"The moment a person forms a theory, his imagination sees, in every object, only the traits which favor that theory." (Thomas Jefferson, [letter to Charles Thompson] 1787)

"It is not possible to feel satisfied at having said the last word about some theory as long as it cannot be explained in a few words to any passerby encountered in the street." (Joseph D Gergonne, [letter] 1825)

"[…] in order to observe, our mind has need of some theory or other. If in contemplating phenomena we did not immediately connect them with principles, not only would it be impossible for us to combine these isolated observations, and therefore to derive profit from them, but we should even be entirely incapable of remembering facts, which would for the most remain unnoted by us." (Auguste Comte, "Cours de Philosophie Positive", 1830-1842)

"[Precision] is the very soul of science; and its attainment afford the only criterion, or at least the best, of the truth of theories, and the correctness of experiments." (John F W Herschel, "A Preliminary Discourse on the Study of Natural Philosophy", 1830)

"The function of theory is to put all this in systematic order, clearly and comprehensively, and to trace each action to an adequate, compelling cause. […] Theory should cast a steady light on all phenomena so that we can more easily recognize and eliminate the weeds that always spring from ignorance; it should show how one thing is related to another, and keep the important and the unimportant separate. If concepts combine of their own accord to form that nucleus of truth we call a principle, if they spontaneously compose a pattern that becomes a rule, it is the task of the theorist to make this clear." (Carl von Clausewitz, "On War", 1832)

"The insights gained and garnered by the mind in its wanderings among basic concepts are benefits that theory can provide. Theory cannot equip the mind with formulas for solving problems, nor can it mark the narrow path on which the sole solution is supposed to lie by planting a hedge of principles on either side. But it can give the mind insight into the great mass of phenomena and of their relationships, then leave it free to rise into the higher realms of action." (Carl von Clausewitz, "On War", 1832)

"Theories usually result from the precipitate reasoning of an impatient mind which would like to be rid of phenomena and replace them with images, concepts, indeed often with mere words." (Johann Wolfgang von Goethe, "Maxims and Reflections", 1833)

"Every detection of what is false directs us towards what is true: every trial exhausts some tempting form of error. Not only so; but scarcely any attempt is entirely a failure; scarcely any theory, the result of steady thought, is altogether false; no tempting form of error is without some latent charm derived from truth." (William Whewell, "Lectures on the History of Moral Philosophy in England", 1852)

"The dimmed outlines of phenomenal things all merge into one another unless we put on the focusing-glass of theory, and screw it up sometimes to one pitch of definition and sometimes to another, so as to see down into different depths through the great millstone of the world." (James C Maxwell, "Are There Real Analogies in Nature?", 1856) 

"[…] ideas may be both novel and important, and yet, if they are incorrect – if they lack the very essential support of incontrovertible fact, they are unworthy of credence. Without this, a theory may be both beautiful and grand, but must be as evanescent as it is beautiful, and as unsubstantial as it is grand." (George Brewster, "A New Philosophy of Matter", 1858)

"If an idea presents itself to us, we must not reject it simply because it does not agree with the logical deductions of a reigning theory." (Claude Bernard, "An Introduction to the Study of Experimental Medicine", 1865)

"Science asks no questions about the ontological pedigree or a priori character of a theory, but is content to judge it by its performance; and it is thus that a knowledge of nature, having all the certainty which the senses are competent to inspire, has been attained - a knowledge which maintains a strict neutrality toward all philosophical systems and concerns itself not with the genesis or a priori grounds of ideas." (Chauncey Wright, "The Philosophy of Herbert Spencer", North American Review, 1865)

"Isolated facts and experiments have in themselves no value, however great their number may be. They only become valuable in a theoretical or practical point of view when they make us acquainted with the law of a series of uniformly recurring phenomena, or, it may be, only give a negative result showing an incompleteness in our knowledge of such a law, till then held to be perfect." (Hermann von Helmholtz, "The Aim and Progress of Physical Science", 1869)

"The triumph of a theory is to embrace the greatest number and the greatest variety of facts." (Charles A Wurtz, "A History of Chemical Theory from the Age of Lavoisier to the Present Time", 1869)

"Mathematics is not the discoverer of laws, for it is not induction; neither is it the framer of theories, for it is not hypothesis; but it is the judge over both, and it is the arbiter to which each must refer its claims; and neither law can rule nor theory explain without the sanction of mathematics." (Benjamin Peirce, "Linear Associative Algebra", American Journal of Mathematics, Vol. 4, 1881)

"As for everything else, so for a mathematical theory: beauty can be perceived but not explained." (Arthur Cayley, [president's address] 1883)

"It would be an error to suppose that the great discoverer seizes at once upon the truth, or has any unerring method of divining it. In all probability the errors of the great mind exceed in number those of the less vigorous one. Fertility of imagination and abundance of guesses at truth are among the first requisites of discovery; but the erroneous guesses must be many times as numerous as those that prove well founded. The weakest analogies, the most whimsical notions, the most apparently absurd theories, may pass through the teeming brain, and no record remain of more than the hundredth part. […] The truest theories involve suppositions which are inconceivable, and no limit can really be placed to the freedom of hypotheses." (W Stanley Jevons, "The Principles of Science: A Treatise on Logic and Scientific Method", 1877)

"Perfect readiness to reject a theory inconsistent with fact is a primary requisite of the philosophic mind. But it, would be a mistake to suppose that this candour has anything akin to fickleness; on the contrary, readiness to reject a false theory may be combined with a peculiar pertinacity and courage in maintaining an hypothesis as long as its falsity is not actually apparent." (William S Jevons, "The Principles of Science", 1887)

"The history of thought should warn us against concluding that because the scientific theory of the world is the best that has yet been formulated, it is necessarily complete and final. We must remember that at bottom the generalizations of science or, in common parlance, the laws of nature are merely hypotheses devised to explain that ever-shifting phantasmagoria of thought which we dignify with the high-sounding names of the world and the universe." (Sir James G Frazer, "The Golden Bough: A Study in Magic and Religion", 1890) 

"One is almost tempted to assert that quite apart from its intellectual mission, theory is the most practical thing conceivable, the quintessence of practice as it were, since the precision of its conclusions cannot be reached by any routine of estimating or trial and error; although given the hidden ways of theory, this will hold only for those who walk them with complete confidence." (Ludwig E Boltzmann, "On the Significance of Theories", 1890) 

"Facts are not much use, considered as facts. They bewilder by their number and their apparent incoherency. Let them be digested into theory, however, and brought into mutual harmony, and it is another matter. Theory is of the essence of facts. Without theory scientific knowledge would be only worthy of the mad house." (Oliver Heaviside, "Electromagnetic Theory", 1893)

"Scientific facts accumulate rapidly, and give rise to theories with almost equal rapidity. These theories are often wonderfully enticing, and one is apt to pass from one to another, from theory to theory, without taking care to establish each before passing on to the next, without assuring oneself that the foundation on which one is building is secure. Then comes the crash; the last theory breaks down utterly, and on attempting to retrace our steps to firm ground and start anew, we may find too late that one of the cards, possibly at the very foundation of the pagoda, is either faultily placed or in itself defective, and that this blemish easily remedied if detected in time has, neglected, caused the collapse of the whole structure on whose erection so much skill and perseverance have been spent." (Arthur M Marshall, 1894)

"A mathematical theory is not to be considered complete until you have made it so clear that you can explain it to the first man whom you meet on the street." (David Hilbert [paraphrasing Joseph D Gergonne], "Mathematical Problems", 1900)

"One does not ask whether a scientific theory is true, but only whether it is convenient." (Henri Poincaré, "La Science et l'Hypothèse", 1902) 

"But surely it is self-evident that every theory is merely a framework or scheme of concepts together with their necessary relations to one another, and that the basic elements can be constructed as one pleases." (Gottlob Frege, "On the Foundations of Geometry and Formal Theories of Arithmetic" , cca. 1903-1909)

"It [a theory] ought to furnish a compass which, if followed, will lead the observer further and further into previously unexplored regions. Whether these regions will be barren or fertile experience alone will decide; but, at any rate, one who is guided in this way will travel onward in a definite direction, and will not wander aimlessly to and fro." (Sir Joseph J Thomson, "The Corpuscular Theory of Matter", 1907)

"Things and events explain themselves, and the business of thought is to brush aside the verbal and conceptual impediments which prevent them from doing so. Start with the notion that it is you who explain the Object, and not the Object that explains itself, and you are bound to end in explaining it away. It ceases to exist, its place being taken by a parcel of concepts, a string of symbols, a form of words, and you find yourself contemplating, not the thing, but your theory of the thing." (Lawrence P Jacks, "The Usurpation Of Language", 1910)

"The existence of analogies between central features of various theories implies the existence of a general theory which underlies the particular theories and unifies them with respect to those central features." (Eliakim H Moore, "Introduction to a Form of General Analysis", 1910)

"The discovery which has been pointed to by theory is always one of profound interest and importance, but it is usually the close and crown of a long and fruitful period, whereas the discovery which comes as a puzzle and surprise usually marks a fresh epoch and opens a new chapter in science." (Sir Oliver J Lodge, [Becquerel Memorial Lecture] Journal of the Chemical Society, Transactions 101 (2), 1912) 

"There is no great harm in the theorist who makes up a new theory to fit a new event. But the theorist who starts with a false theory and then sees everything as making it come true is the most dangerous enemy of human reason." (Gilbert K Chesterton, "The Flying Inn", 1914)

"Theory is the best guide for experiment - that were it not for theory and the problems and hypotheses that come out of it, we would not know the points we wanted to verify, and hence would experiment aimlessly" (Henry Hazlitt,  "Thinking as a Science", 1916)

"As soon as science has emerged from its initial stages, theoretical advances are no longer achieved merely by a process of arrangement. Guided by empirical data, the investigator rather develops a system of thought which, in general, is built up logically from a small number of fundamental assumptions, the so-called axioms. We call such a system of thought a theory. The theory finds the justification for its existence in the fact that it correlates a large number of single observations, and it is just here that the 'truth' of the theory lies." (Albert Einstein: "Relativity: The Special and General Theory", 1916)

"No fairer destiny could be allotted to any physical theory, than that it should of itself point out the way to the introduction of a more comprehensive theory, in which it lives on as a limiting case." (Albert Einstein: "Relativity, The Special and General Theory", 1916)

"To come very near to a true theory, and to grasp its precise application, are two very different things, as the history of a science teaches us. Everything of importance has been said before by somebody who did not discover it." (Alfred N Whitehead, "The Organization of Thought", 1917)

"Facts are carpet-tacks under the pneumatic tires of theory." (Austin O’Malley, "Keystones of Thought", 1918)

"Philosophy, like science, consists of theories or insights arrived at as a result of systemic reflection or reasoning in regard to the data of experience. It involves, therefore, the analysis of experience and the synthesis of the results of analysis into a comprehensive or unitary conception. Philosophy seeks a totality and harmony of reasoned insight into the nature and meaning of all the principal aspects of reality." (Joseph A Leighton, "The Field of Philosophy: An outline of lectures on introduction to philosophy", 1919)

"[…] analogies are not ‘aids’ to the establishment of theories; they are an utterly essential part of theories, without which theories would be completely valueless and unworthy of the name. It is often suggested that the analogy leads to the formulation of the theory, but that once the theory is formulated the analogy has served its purpose and may be removed or forgotten. Such a suggestion is absolutely false and perniciously misleading." (Norman R Campbell, "Physics, the Elements", 1920) 

"Nothing is more interesting to the true theorist than a fact which directly contradicts a theory generally accepted up to that time, for this is his particular work." (Max Planck, "A Survey of Physics", 1925)

"[…] the mere collection of facts, without some basis of theory for guidance and elucidation, is foolish and profitless." (Gamaliel Bradford, "Darwin", 1926)

"[…] facts are too bulky to be lugged about conveniently except on the wheels of theory." (Julian Huxley, "Essays of a Biologist", 1929)

 "We can invent as many theories we like, and any one of them can be made to fit the facts. But that theory is always preferred which makes the fewest number of assumptions." (Albert Einstein [interview] 1929)

"Every theory of the course of events in nature is necessarily based on some process of simplification and is to some extent, therefore, a fairy tale." (Sir Napier Shaw, "Manual of Meteorology", 1932)

"[…] the process of scientific discovery may be regarded as a form of art. This is best seen in the theoretical aspects of Physical Science. The mathematical theorist builds up on certain assumptions and according to well understood logical rules, step by step, a stately edifice, while his imaginative power brings out clearly the hidden relations between its parts. A well-constructed theory is in some respects undoubtedly an artistic production." (Ernest Rutherford, 1932)

"It can scarcely be denied that the supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience." (Albert Einstein, [lecture] 1933)

"All the theories and hypotheses of empirical science share this provisional character of being established and accepted ‘until further notice’ [...]" (Carl G Hempel, "Geometry and Empirical Science", 1935)

"[while] the traditional way is to regard the facts of science as something like the parts of a jig-saw puzzle, which can be fitted together in one and only one way, I regard them rather as the tiny pieces of a mosaic, which can be fitted together in many ways. A new theory in an old subject is, for me, a new mosaic pattern made with the pieces taken from an older pattern. [...] Theories come into fashion and theories go out of fashion, but the facts connected with them stay." (William H George, "The Scientist in Action", 1936)

"Every new theory as it arises believes in the flush of youth that it has the long sought goal; it sees no limits to its applicability, and believes that at last it is the fortunate theory to achieve the 'right' answer." (Percy W Bridgman, "The Nature of Physical Theory", 1936)

"When an active individual of sound common sense perceives the sordid state of the world, desire to change it becomes the guiding principle by which he organizes given facts and shapes them into a theory. The methods and categories as well as the transformation of the theory can be understood only in connection with his taking of sides. This, in turn, discloses both his sound common sense and the character of the world. Right thinking depends as much on right willing as right willing on right thinking." (Max Horkheimer, "The Latest Attack on Metaphysics", 1937)

"Creating a new theory is not like destroying an old barn and erecting a skyscraper in its place. It is rather like climbing a mountain, gaining new and wider views, discovering unexpected connections between our starting point and its rich environment. But the point from which we started out still exists and can be seen, although it appears smaller and forms a tiny part of our broad view gained by the mastery of the obstacles on our adventurous way up." (Albert Einstein & Leopold Infeld, "The Evolution of Physics", 1938)

"With the help of physical theories we try to find our way through the maze of observed facts, to order and understand the world of our sense impressions." (Albert Einstein & Leopold Infeld, "The Evolution of Physics", 1938)

"There is nothing as practical as a good theory" (Kurt Z Lewin, "Psychology and the process of group living", Journal of Social Psychology 17, 1943)

"To a scientist a theory is something to be tested. He seeks not to defend his beliefs, but to improve them. He is, above everything else, an expert at ‘changing his mind’." (Wendell Johnson, 1946)

"One expects a mathematical theorem or a mathematical theory not only to describe and to classify in a simple and elegant way numerous and a priori disparate special cases. One also expects ‘elegance’ in its ‘architectural’ structural makeup." (John von Neumann, "The Mathematician" [in "Works of the Mind" Vol. I (1), 1947]) 

"We can put it down as one of the principles learned from the history of science that a theory is only overthrown by a better theory, never merely by contradictory facts." (James B Conant, "On Understanding Science", 1947)

"A theory is the more impressive the greater the simplicity of its premises is, the more different kinds of things it relates, and the more extended its area of applicability." (Albert Einstein, "Autobiographical Notes", 1949)

"When a scientific theory is firmly established and confirmed, it changes its character and becomes a part of the metaphysical background of the age: a doctrine is transformed into a dogma." (Max Born, "Natural Philosophy of Cause and Chance", 1949)

"As every mathematician knows, nothing is more fruitful than these obscure analogies, these indistinct reflections of one theory into another, these furtive caresses, these inexplicable disagreements; also nothing gives the researcher greater pleasure." (André Weil, "De la Métaphysique aux Mathématiques", 1960)

"A theory with mathematical beauty is more likely to be correct than an ugly one that fits some experimental data. " (Paul A M Dirac, Scientific American, 1963)

"The final test of a theory is its capacity to solve the problems which originated it." (George Dantzig, "Linear Programming and Extensions", 1963)

"It is easy to obtain confirmations, or verifications, for nearly every theory - if we look for confirmations. Confirmations should count only if they are the result of risky predictions. […] A theory which is not refutable by any conceivable event is non-scientific. Irrefutability is not a virtue of a theory (as people often think) but a vice. Every genuine test of a theory is an attempt to falsify it, or refute it." (Karl R Popper, "Conjectures and Refutations: The Growth of Scientific Knowledge", 1963)

"One of the endlessly alluring aspects of mathematics is that its thorniest paradoxes have a way of blooming into beautiful theories." (Philip J Davis, "Number", Scientific American, No 211 (3), 1964)

"Another thing I must point out is that you cannot prove a vague theory wrong. If the guess that you make is poorly expressed and rather vague, and the method that you use for figuring out the consequences is a little vague - you are not sure, and you say, 'I think everything's right because it's all due to so and so, and such and such do this and that more or less, and I can sort of explain how this works' […] then you see that this theory is good, because it cannot be proved wrong! Also if the process of computing the consequences is indefinite, then with a little skill any experimental results can be made to look like the expected consequences." (Richard P Feynman, "The Character of Physical Law", 1965)

"This is the key of modern science and it was the beginning of the true understanding of Nature - this idea to look at the thing, to record the details, and to hope that in the information thus obtained might lie a clue to one or another theoretical interpretation." (Richard P Feynman, "The Character of Physical Law", 1965)

"Theories are usually introduced when previous study of a class of phenomena has revealed a system of uniformities. […] Theories then seek to explain those regularities and, generally, to afford a deeper and more accurate understanding of the phenomena in question. To this end, a theory construes those phenomena as manifestations of entities and processes that lie behind or beneath them, as it were." (Carl G Hempel, "Philosophy of Natural Science", 1966)

"A theory is scientific only if it can be disproved. But the moment you try to cover absolutely everything the chances are that you cover nothing. " (Sir Hermann Bondi, "Assumption and Myth in Physical Theory", 1967) 

 "As soon as we inquire into the reasons for the phenomena, we enter the domain of theory, which connects the observed phenomena and traces them back to a single ‘pure’ phenomena, thus bringing about a logical arrangement of an enormous amount of observational material." (Georg Joos, "Theoretical Physics", 1968)

"It makes no sense to say what the objects of a theory are, beyond saying how to interpret or reinterpret that theory in another." (Willard v O Quine, "Ontological Relativity and Other Essays", 1969)

"One often hears that successive theories grow ever closer to, or approximate more and more closely to, the truth. Apparently, generalizations like that refer not to the puzzle-solutions and the concrete predictions derived from a theory but rather to its ontology, to the match, that is, between the entities with which the theory populates nature and what is ‘really there’." (Thomas S Kuhn, "The Structure of Scientific Revolutions", 1970)

"Blind commitment to a theory is not an intellectual virtue: it is an intellectual crime." (Imre Lakatos, [radio Lecture] 1973) 

"No theory ever agrees with all the facts in its domain, yet it is not always the theory that is to blame. Facts are constituted by older ideologies, and a clash between facts and theories may be proof of progress. It is also a first step in our attempt to find the principles implicit in familiar observational notions." (Paul K Feyerabend, "Against Method: Outline of an Anarchistic Theory of Knowledge", 1975) 

"A physical theory remains an empty shell until we have found a reasonable physical interpretation." (Peter Bergmann, [conference] 1976)

"Owing to his lack of knowledge, the ordinary man cannot attempt to resolve conflicting theories of conflicting advice into a single organized structure. He is likely to assume the information available to him is on the order of what we might think of as a few pieces of an enormous jigsaw puzzle. If a given piece fails to fit, it is not because it is fraudulent; more likely the contradictions and inconsistencies within his information are due to his lack of understanding and to the fact that he possesses only a few pieces of the puzzle. Differing statements about the nature of things […] are to be collected eagerly and be made a part of the individual's collection of puzzle pieces. Ultimately, after many lifetimes, the pieces will fit together and the individual will attain clear and certain knowledge." (Alan R Beals, "Strategies of Resort to Curers in South India" [contributed in Charles M. Leslie (ed.), "Asian Medical Systems: A Comparative Study", 1976]) 

"A good scientific law or theory is falsifiable just because it makes definite claims about the world. For the falsificationist, If follows fairly readily from this that the more falsifiable a theory is the better, in some loose sense of more. The more a theory claims, the more potential opportunities there will be for showing that the world does not in fact behave in the way laid down by the theory. A very good theory will be one that makes very wide-ranging claims about the world, and which is consequently highly falsifiable, and is one that resists falsification whenever it is put to the test." (Alan F Chalmers,  "What Is This Thing Called Science?", 1976)

"Facts do not ‘speak for themselves’; they are read in the light of theory. Creative thought, in science as much as in the arts, is the motor of changing opinion. Science is a quintessentially human activity, not a mechanized, robot-like accumulation of objective information, leading by laws of logic to inescapable interpretation." (Stephen J Gould, "Ever Since Darwin", 1977)

"Our mistake is not that we take our theories too seriously, but that we do not take them seriously enough. It is always hard to realize that these numbers and equations we play with at our desks have something to do with the real world." (Steven Weinberg, "The First Three Minutes", 1977)

"The theory of our modern technic shows that nothing is as practical as the theory." (J Robert Oppenheimer, "Reflex", 1977)

"Science has so accustomed us to devising and accepting theories to account for the facts we observe, however fantastic, that our minds must begin their manufacture before we are aware of it." (Gene Wolfe, "Seven American Nights", 1978) 

"For mathematicians, only one test was necessary: once the elements of any mathematical theory were seen to be consistent, then they were mathematically acceptable. Nothing more was required." (Joseph W  Dauben, "Georg Cantor: His Mathematics and Philosophy of the Infinite", 1979)

"Science, since people must do it, is a socially embedded activity. It progresses by hunch, vision, and intuition. Much of its change through time does not record a closer approach to absolute truth, but the alteration of cultural contexts that influence it so strongly. Facts are not pure and unsullied bits of information; culture also influences what we see and how we see it. Theories, moreover, are not inexorable inductions from facts. The most creative theories are often imaginative visions imposed upon facts; the source of imagination is also strongly cultural." (Stephen J Gould, "The Mismeasure of Man", 1980)

"Facts and theories are different things, not rungs in a hierarchy of increasing certainty. Facts are the world's data. Theories are structures of ideas that explain and interpret facts. Facts do not go away while scientists debate rival theories for explaining them." (Stephen J Gould "Evolution as Fact and Theory", 1981)

"A real change of theory is not a change of equations - it is a change of mathematical structure, and only fragments of competing theories, often not very important ones conceptually, admit comparison with each other within a limited range of phenomena." (Yuri I Manin, "Mathematics and Physics", 1981)

"The principal aim of physical theories is understanding. A theory's ability to find a number is merely a useful criterion for a correct understanding." (Yuri I Manin, "Mathematics and Physics", 1981)

"Data in isolation are meaningless, a collection of numbers. Only in context of a theory do they assume significance […]" (George Greenstein, "Frozen Star", 1983)

"In all scientific fields, theory is frequently more important than experimental data. Scientists are generally reluctant to accept the existence of a phenomenon when they do not know how to explain it. On the other hand, they will often accept a theory that is especially plausible before there exists any data to support it." (Richard Morris, 1983) 

"Physics is like that. It is important that the models we construct allow us to draw the right conclusions about the behaviour of the phenomena and their causes. But it is not essential that the models accurately describe everything that actually happens; and in general it will not be possible for them to do so, and for much the same reasons. The requirements of the theory constrain what can be literally represented. This does not mean that the right lessons cannot be drawn. Adjustments are made where literal correctness does not matter very much in order to get the correct effects where we want them; and very often, as in the staging example, one distortion is put right by another. That is why it often seems misleading to say that a particular aspect of a model is false to reality: given the other constraints that is just the way to restore the representation." (Nancy Cartwright, "How the Laws of Physics Lie", 1983)

"Scientific theories must tell us both what is true in nature, and how we are to explain it. […] Scientific theories are thought to explain by dint of the descriptions they give of reality." (Nancy Cartwright, "How the Laws of Physics Lie", 1983)

"The heart of mathematics consists of concrete examples and concrete problems. Big general theories are usually afterthoughts based on small but profound insights; the insights themselves come from concrete special cases." (Paul Halmos, "Selecta: Expository writing", 1983)

"A final goal of any scientific theory must be the derivation of numbers. Theories stand or fall, ultimately, upon numbers." (Richard E Bellman, "Eye of the Hurricane: An Autobiography", 1984)

"Until now, physical theories have been regarded as merely models with approximately describe the reality of nature. As the models improve, so the fit between theory and reality gets closer. Some physicists are now claiming that supergravity is the reality, that the model and the real world are in mathematically perfect accord." (Paul C W Davies, "Superforce", 1984)

"Nature is disordered, powerful and chaotic, and through fear of the chaos we impose system on it. We abhor complexity, and seek to simplify things whenever we can by whatever means we have at hand. We need to have an overall explanation of what the universe is and how it functions. In order to achieve this overall view we develop explanatory theories which will give structure to natural phenomena: we classify nature into a coherent system which appears to do what we say it does." (James Burke, "The Day the Universe Changed", 1985) 

"Experience without theory teaches nothing." (William E Deming, "Out of the Crisis", 1986)

"All great theories are expansive, and all notions so rich in scope and implication are underpinned by visions about the nature of things. You may call these visions ‘philosophy’, or ‘metaphor’, or ‘organizing principle’, but one thing they are surely not - they are not simple inductions from observed facts of the natural world." (Stephen J Gould, "Time’s Arrow, Time’s Cycle", 1987)

"Facts do not 'speak for themselves'. They speak for or against competing theories. Facts divorced from theory or visions are mere isolated curiosities." (Thomas Sowell, "A Conflict of Visions: Ideological Origins of Political Struggles", 1987)

"[…] no good model ever accounted for all the facts, since some data was bound to be misleading if not plain wrong. A theory that did fit all the data would have been ‘carpentered’ to do this and would thus be open to suspicion." (Francis H C Crick, "What Mad Pursuit: A Personal View of Scientific Discovery", 1988)

"Any physical theory is always provisional, in the sense that it is only a hypothesis: you can never prove it. No matter how many times the results of experiments agree with some theory, you can never be sure that the next time the result will not contradict the theory." (Stephen Hawking,  "A Brief History of Time", 1988)

"Theories are not so much wrong as incomplete." (Isaac Asimov, "The Relativity of Wrong", 1988)

"A discovery in science, or a new theory, even where it appears most unitary and most all-embracing, deals with some immediate element of novelty or paradox within the framework of far vaster, unanalyzed, unarticulated reserves of knowledge, experience, faith, and presupposition. Our progress is narrow: it takes a vast world unchallenged and for granted." (James R Oppenheimer, "Atom and Void", 1989)

"Model is used as a theory. It becomes theory when the purpose of building a model is to understand the mechanisms involved in the developmental process. Hence as theory, model does not carve up or change the world, but it explains how change takes place and in what way or manner. This leads to build change in the structures." (Laxmi K Patnaik, "Model Building in Political Science", The Indian Journal of Political Science Vol. 50 (2), 1989)

"A law explains a set of observations; a theory explains a set of laws. […] Unlike laws, theories often postulate unobservable objects as part of their explanatory mechanism." (John L Casti, "Searching for Certainty", 1990)

"It is in the nature of theoretical science that there can be no such thing as certainty. A theory is only ‘true’ for as long as the majority of the scientific community maintain the view that the theory is the one best able to explain the observations." (Jim Baggott, "The Meaning of Quantum Theory", 1992)

"Scientists use mathematics to build mental universes. They write down mathematical descriptions - models - that capture essential fragments of how they think the world behaves. Then they analyse their consequences. This is called 'theory'. They test their theories against observations: this is called 'experiment'. Depending on the result, they may modify the mathematical model and repeat the cycle until theory and experiment agree. Not that it's really that simple; but that's the general gist of it, the essence of the scientific method." (Ian Stewart & Martin Golubitsky, "Fearful Symmetry: Is God a Geometer?", 1992)

"Science is not about control. It is about cultivating a perpetual condition of wonder in the face of something that forever grows one step richer and subtler than our latest theory about it. It is about  reverence, not mastery." (Richard Power, "Gold Bug Variations", 1993) 

"Clearly, science is not simply a matter of observing facts. Every scientific theory also expresses a worldview. Philosophical preconceptions determine where facts are sought, how experiments are designed, and which conclusions are drawn from them." (Nancy R Pearcey & Charles B. Thaxton, "The Soul of Science: Christian Faith and Natural Philosophy", 1994)

"The amount of understanding produced by a theory is determined by how well it meets the criteria of adequacy - testability, fruitfulness, scope, simplicity, conservatism - because these criteria indicate the extent to which a theory systematizes and unifies our knowledge." (Theodore Schick Jr.,  "How to Think about Weird Things: Critical Thinking for a New Age", 1995)

"Scientists, being as a rule more or less human beings, passionately stick up for their ideas, their pet theories. It's up to someone else to show you are wrong." (Niles Eldredge, "Reinventing Darwin", 1995)

"There are two kinds of mistakes. There are fatal mistakes that destroy a theory; but there are also contingent ones, which are useful in testing the stability of a theory." (Gian-Carlo Rota, [lecture] 1996)

"Paradigms are the most general-rather like a philosophical or ideological framework. Theories are more specific, based on the paradigm and designed to describe what happens in one of the many realms of events encompassed by the paradigm. Models are even more specific providing the mechanisms by which events occur in a particular part of the theory's realm. Of all three, models are most affected by empirical data - models come and go, theories only give way when evidence is overwhelmingly against them and paradigms stay put until a radically better idea comes along." (Lee R Beach, "The Psychology of Decision Making: People in Organizations", 1997)

"Ideas about organization are always based on implicit images or metaphors that persuade us to see, understand, and manage situations in a particular way. Metaphors create insight. But they also distort. They have strengths. But they also have limitations. In creating ways of seeing, they create ways of not seeing. There can be no single theory or metaphor that gives an all-purpose point of view, and there can be no simple 'correct theory' for structuring everything we do." (Gareth Morgan, "Imaginization", 1997)

"An individual understands a concept, skill, theory, or domain of knowledge to the extent that he or she can apply it appropriately in a new situation." (Howard Gardner, "The Disciplined Mind", 1999)

"[…] philosophical theories are structured by conceptual metaphors that constrain which inferences can be drawn within that philosophical theory. The (typically unconscious) conceptual metaphors that are constitutive of a philosophical theory have the causal effect of constraining how you can reason within that philosophical framework." (George Lakoff, "Philosophy in the Flesh: The Embodied Mind and its Challenge to Western Thought", 1999)

"All scientific theories, even those in the physical sciences, are developed in a particular cultural context. Although the context may help to explain the persistence of a theory in the face of apparently falsifying evidence, the fact that a theory arises from a particular context is not sufficient to condemn it. Theories and paradigms must be accepted, modified or rejected on the basis of evidence." (Richard P Bentall,  "Madness Explained: Psychosis and Human Nature", 2003)

"A scientific theory is a concise and coherent set of concepts, claims, and laws (frequently expressed mathematically) that can be used to precisely and accurately explain and predict natural phenomena." (Mordechai Ben-Ari, "Just a Theory: Exploring the Nature of Science", 2005)

"In science, for a theory to be believed, it must make a prediction - different from those made by previous theories - for an experiment not yet done. For the experiment to be meaningful, we must be able to get an answer that disagrees with that prediction. When this is the case, we say that a theory is falsifiable - vulnerable to being shown false. The theory also has to be confirmable, it must be possible to verify a new prediction that only this theory makes. Only when a theory has been tested and the results agree with the theory do we advance the statement to the rank of a true scientific theory." (Lee Smolin, "The Trouble with Physics", 2006)

"A theory appears to be beautiful or elegant (or simple, if you prefer) when it can be expressed concisely in terms of mathematics we already have." (Murray Gell-Mann, "Beauty and Truth in Physics", 2007)

"In science we try to explain reality by using models (theories). This is necessary because reality itself is too complex. So we need to come up with a model for that aspect of reality we want to understand – usually with the help of mathematics. Of course, these models or theories can only be simplifications of that part of reality we are looking at. A model can never be a perfect description of reality, and there can never be a part of reality perfectly mirroring a model." (Manfred Drosg, "Dealing with Uncertainties: A Guide to Error Analysis", 2007)

"It is also inevitable for any model or theory to have an uncertainty (a difference between model and reality). Such uncertainties apply both to the numerical parameters of the model and to the inadequacy of the model as well. Because it is much harder to get a grip on these types of uncertainties, they are disregarded, usually." (Manfred Drosg, "Dealing with Uncertainties: A Guide to Error Analysis", 2007)

"A theory is a speculative explanation of a particular phenomenon which derives it legitimacy from conforming to the primary assumptions of the worldview of the culture in which it appears. There can be more than one theory for a particular phenomenon that conforms to a given worldview. […]  A new theory may seem to trigger a change in worldview, as in this case, but logically a change in worldview must precede a change in theory, otherwise the theory will not be viable. A change in worldview will necessitate a change in all theories in all branches of study." (M G Jackson, "Transformative Learning for a New Worldview: Learning to Think Differently", 2008)

"All scientific theories, even those in the physical sciences, are developed in a particular cultural context. Although the context may help to explain the persistence of a theory in the face of apparently falsifying evidence, the fact that a theory arises from a particular context is not sufficient to condemn it. Theories and paradigms must be accepted, modified or rejected on the basis of evidence."  (Richard P Bentall,  "Madness Explained: Psychosis and Human Nature", 2003) 

"With each theory or model, our concepts of reality and of the fundamental constituents of the universe have changed." (Stephen Hawking & Leonard Mlodinow, "The Grand Design", 2010)

"A theory is a set of deductively closed propositions that explain and predict empirical phenomena, and a model is a theory that is idealized." (Jay Odenbaugh, "True Lies: Realism, Robustness, and Models", Philosophy of Science, Vol. 78, No. 5, 2011)

"Science would be better understood if we called theories ‘misconceptions’ from the outset, instead of only after we have discovered their successors." (David Deutsch, "Beginning of Infinity", 2011)

"Complexity has the propensity to overload systems, making the relevance of a particular piece of information not statistically significant. And when an array of mind-numbing factors is added into the equation, theory and models rarely conform to reality." (Lawrence K Samuels, "Defense of Chaos: The Chaology of Politics, Economics and Human Action", 2013)

"[…] if one has a theory, one needs to be willing to try to prove it wrong as much as one tries to provide that it is right […]" (Lawrence M Krauss et al, A Universe from Nothing, 2013)

"Mathematical modeling is the modern version of both applied mathematics and theoretical physics. In earlier times, one proposed not a model but a theory. By talking today of a model rather than a theory, one acknowledges that the way one studies the phenomenon is not unique; it could also be studied other ways. One's model need not claim to be unique or final. It merits consideration if it provides an insight that isn't better provided by some other model." (Reuben Hersh,"Mathematics as an Empirical Phenomenon, Subject to Modeling", 2017)

"Scientists generally agree that no theory is 100 percent correct. Thus, the real test of knowledge is not truth, but utility." (Yuval N Harari, "Sapiens: A brief history of humankind", 2017) 

"A theory is nothing but a tool to know the reality. If a theory contradicts reality, it must be discarded at the earliest." (Awdhesh Singh, "Myths are Real, Reality is a Myth", 2018)

21 May 2018

🔬Data Science: Generative Adversarial Network (Definitions)

"A category of deep learning neural networks that are composed of two competitive neural networks together." (Dulani Meedeniya & Iresha Rubasinghe, "A Review of Supportive Computational Approaches for Neurological Disorder Identification", 2020) 

"A powerful machine learning technique made up of two learning systems that compete with each other in a game-like fashion. Features of the winning system are 'genetically' added to the loser along with random mutations. GANs teach themselves through this 'survival of the fittest' evolutionary model. They 'generate' new solutions through many, often millions, of generations." (Scott R Garrigan, "Frameworks for Integration of Future-Oriented Computational Thinking in K-12 Schools", 2020)

"An artificial intelligence process that includes a 'generator' that produces samples, and a 'discriminator' that differentiates between computer-generated samples and samples derived from 'real-world' sources." (Keram Malicki-Sanchez, "Out of Our Minds: Ontology and Embodied Media in a Post-Human Paradigm", 2020)

"Machine learning framework in which two neural networks compete against each other to win within a gaming environment using a supervised learning pattern." (Jose A R Pinheiro, "Contemporary Imagetics and Post-Images in Digital Media Art: Inspirational Artists and Current Trends (1948-2020)", 2020)

"It refers to a type of neural network that consists of a generative and a discriminative network that contest with each other especially in a game scenario. They are used to generate new data that are statistically similar to the training data." (Vijayaraghavan Varadharajan & J Rian Leevinson, "Next Generation of Intelligent Cities: Case Studies from Europe", 2021)

"A generative adversarial network, or GAN, is a deep neural network framework which is able to learn from a set of training data and generate new data with the same characteristics as the training data." (Thomas Wood)

07 February 2018

🔬Data Science: Hadoop (Definitions)

"An Apache-managed software framework derived from MapReduce and Bigtable. Hadoop allows applications based on MapReduce to run on large clusters of commodity hardware. Hadoop is designed to parallelize data processing across computing nodes to speed computations and hide latency. Two major components of Hadoop exist: a massively scalable distributed file system that can support petabytes of data and a massively scalable MapReduce engine that computes results in batch." (Marcia Kaufman et al, "Big Data For Dummies", 2013)

"An open-source software platform developed by Apache Software Foundation for data-intensive applications where the data are often widely distributed across different hardware systems and geographical locations." (Kenneth A Shaw, "Integrated Management of Processes and Information", 2013)

"Technology designed to house Big Data; a framework for managing data" (Daniel Linstedt & W H Inmon, "Data Architecture: A Primer for the Data Scientist", 2014)

"an Apache-managed software framework derived from MapReduce. Big Table Hadoop enables applications based on MapReduce to run on large clusters of commodity hardware. Hadoop is designed to parallelize data processing across computing nodes to speed up computations and hide latency. The two major components of Hadoop are a massively scalable distributed file system that can support petabytes of data and a massively scalable MapReduce engine that computes results in batch." (Judith S Hurwitz, "Cognitive Computing and Big Data Analytics", 2015)

"An open-source framework that is built to process and store huge amounts of data across a distributed file system." (Jason Williamson, "Getting a Big Data Job For Dummies", 2015)

"Open-source software framework for distributed storage and distributed processing of Big Data on clusters of commodity hardware." (Hamid R Arabnia et al, "Application of Big Data for National Security", 2015)

"A batch processing infrastructure that stores fi les and distributes work across a group of servers. The infrastructure is composed of HDFS and MapReduce components. Hadoop is an open source software platform designed to store and process quantities of data that are too large for just one particular device or server. Hadoop’s strength lies in its ability to scale across thousands of commodity servers that don’t share memory or disk space." (Benoy Antony et al, "Professional Hadoop®", 2016)

"Apache Hadoop is an open-source framework for processing large volume of data in a clustered environment. It uses simple MapReduce programming model for reliable, scalable and distributed computing. The storage and computation both are distributed in this framework." (Kaushik Pal, 2016)

"A framework that allow for the distributed processing for large datasets." (Neha Garg & Kamlesh Sharma, "Machine Learning in Text Analysis", 2020)

 "Hadoop is an open source implementation of the MapReduce paper. Initially, Hadoop required that the map, reduce, and any custom format readers be implemented and deployed to the cluster. Eventually, higher level abstractions were developed, like Apache Hive and Apache Pig." (Alex Thomas, "Natural Language Processing with Spark NLP", 2020)

"A batch processing infrastructure that stores files and distributes work across a group of servers." (Oracle)

"an open-source framework that is built to enable the process and storage of big data across a distributed file system." (Analytics Insight)

"Apache Hadoop is an open-source, Java-based software platform that manages data processing and storage for big data applications. Hadoop works by distributing large data sets and analytics jobs across nodes in a computing cluster, breaking them down into smaller workloads that can be run in parallel. Hadoop can process both structured and unstructured data, and scale up reliably from a single server to thousands of machines." (Databricks) [source]

"Hadoop is an open source software framework for storing and processing large volumes of distributed data. It provides a set of instructions that organizes and processes data on many servers rather than from a centralized management nexus." (Informatica) [source]

04 April 2016

♜Strategic Management: Value Chain (Definitions)

"Sequence of processes that describe the movement of products or services through a pipeline from original creation to final sales." (Ralph Kimball & Margy Ross, "The Data Warehouse Toolkit 2nd Ed ", 2002)

"Framework for examining the strengths and weaknesses of an organization and for using the results of this analysis to improve performance." (Alan W Steiss, "Strategic Management for Public and Nonprofit Organizations", 2003)

"An end-to-end set of activities in support of customer needs, usually beginning with a customer request and ending with customer receipt of benefits." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"Sequence of business processes in which value is added to a product or service. Encompasses customers and suppliers as well as, in some cases, the customers' customers and the suppliers' suppliers." (Leslie G Eldenburg & Susan K Wolcott, "Cost Management" 2nd Ed., 2011)

"A linked set of value-creating activities that begins with basic raw materials coming from suppliers and ends with distributors getting the final goods into the hands of the ultimate consumer." (Thomas L Wheelen & J David Hunger., "Strategic management and business policy: toward global sustainability 13th Ed.", 2012)

"Composed of all the stakeholders (designers, suppliers, manufacturers, customers, and others) who add value to or receive value from specific products or services." (Joan C Dessinger, "Fundamentals of Performance Improvement" 3rd Ed., 2012)

"The set of both primary and support activities or processes that an organization sets up to perform in order to achieve its mission and goals." (Andrew Pham et al, "From Business Strategy to Information Technology Roadmap", 2016)

"A value chain is a set of activities that an enterprise operating in a specific industry performs to deliver a valuable product or service for the market." (by Brian Johnson & Leon-Paul de Rouw, "Collaborative Business Design", 2017)

"The linked set of activities/functions within a firm that interact to enable the final value-creating offering (product/service) of the firm. At the industry level, it can also mean the total set of value-adding links from the first supplier to the final user of a product/service." (Duncan Angwin & Stephen Cummings, "The Strategy Pathfinder 3rd Ed.", 2017)

"A sequence of vertically related activities undertaken by a single firm or by a number of vertically related firms in order to produce a product or service." (Robert M Grant, "Contemporary Strategy Analysis" 10th Ed., 2018)

"A value chain is a set of linked activities that transform inputs into outputs that in turn add to at least one of the ecological, societal or economic bottom lines and help create competitive advantages." (Rick Edgeman, "Lean and Six Sigma Innovation and Design", Encyclopedia of Information Science and Technology" 4th Ed., 2018)

"sequence of processes that creates a product/service that is of value to a customer" (ITIL)

07 February 2016

♜Strategic Management: Culture (Definitions)

"(a) A perception of the critical success factors shared by a unit of the firm. (b) Norms and values applied to selection of strategic projects." (H Igor Ansoff et al, "Implanting Strategic Management" 3rd Ed., 1990)

"(1) The shared methods in which people of an organization think and behave. (2) The 'personality' of an organization." (Margaret Y Chu, "Blissful Data ", 2004)

"In the Framework for Information Quality, a company’s attitudes, values, customs, practices, and social behavior, including both official policies and unofficial 'ways of doing things', 'how things get done', and 'how decisions get made'." (Danette McGilvray, "Executing Data Quality Projects", 2008)

"The collective set of attitudes, activities, and behaviors that, collectively, tend to give an organization its personality." (Steven Haines, "The Product Manager's Desk Reference", 2008)

[adaptive culture:] "Adaptive cultures engage in at least five practices. They (1) name the elephants in the room, (2) share responsibility for the organization’s future, (3) exercise independent judgment, (4) develop leadership capacity, and (5) institutionalize reflection and continuous learning." (Alexander Grashow et al, "The Practice of Adaptive Leadership", 2009)

[participatory culture:] "An environment in which information is made available to support individuals in making appropriate decisions, and where decisions are shifted to the most appropriate location in the organization so that those affected by a decision participate in, or are represented in, the process of making it." (Sally A Miller et al, "People CMM: A Framework for Human Capital Management" 2nd Ed., 2009)

"This is the name given to the collection of basic assumptions, values, norms and artefacts that are shared by and influence the behaviour of an organisation’s members." (Bernard Burnes, "Managing change : a strategic approach to organisational dynamics" 5th Ed., 2009)

"Includes the customary beliefs, forms of expression, and material traits of a particular racial group situated within certain geographical location and within certain time." (Irina Kondratova & Ilia Goldfarb, "Culturally Appropriate Web User Interface Design Study: Research Methodology and Results", 2011)

[corporate culture:] "A collection of beliefs, expectations, and values learned and shared by a corporation’s members and transmitted from one generation of employees to another." (Thomas L Wheelen & J David Hunger., "Strategic management and business policy: toward global sustainability" 13th Ed., 2012)

"A shared system of values, beliefs, and behaviors that characterize a group of organization." (Joan C Dessinger, "Fundamentals of Performance Improvement" 3rd Ed., 2012)

"Distinctive heritage shared by a group of people. It passes on beliefs, norms, and customs." (Barry Berman & Joel R Evans, "Retail Management: A Strategic Approach" 12th Ed., 2013)

"The set of shared attitudes, values, goals, and practices that characterize a company or an organization." (Jim Davis & Aiman Zeid, "Business Transformation: A Roadmap for Maximizing Organizational Insights", 2014)

"The beliefs, customs, practices, and social behavior of a particular nation or people; a group of people whose shared beliefs and practices identify a particular place, class, or time to which they belong; a particular set of attitudes that characterizes a group of people." (Ken Sylvester, "Negotiating in the Leadership Zone", 2015)

"defined as a set of shared attitudes, values, goals and practices that characterize an institution, organization or group." (Thomas C Wilson, "Value and Capital Management", 2015)

"An organization’s values, traditions, behavioral norms, symbols, and social characteristics." (Robert M Grant, "Contemporary Strategy Analysis" 10th Ed., 2018)

"Is the set of assumptions, beliefs, values, and norms shared by an organization's members." (Justína Mikulášková et al, "Spiral Management: New Concept of the Social Systems Management", 2020)

"A set of shared values and beliefs that drive behavior." (Forrester)

"set of values shared by a group of people, including expectation about how people should behave, their ideas, beliefs and practices" (ITIL)

03 January 2016

♜Strategic Management: Balanced Scorecard (Definitions)

"An evaluation method, created by Robert Kaplan and David Norton, that consists of four perspectives (customer, learning, business, and financial) and is used to evaluate effectiveness." (Teri Lund & Susan Barksdale, "10 Steps to Successful Strategic Planning", 2006)

"A strategic management system that connects activities to strategic goals and measures how much the activities contribute to achieving those goals. It provides a broader view of the business than merely looking at financial data. Devised by management theorists Robert Kaplan and David Norton." (Steve Williams & Nancy Williams, "The Profit Impact of Business Intelligence", 2007)

"A type of scorecard application that tracks an organization's progress from various perspectives simultaneously." (Ken Withee, "Microsoft® Business Intelligence For Dummies®", 2010)

"A formal approach used to help organizations translate their vision into objectives that can be measured and monitored using both financial and non-financial performance measures." (Leslie G Eldenburg & Susan K. Wolcott, "Cost Management" 2nd Ed., 2011)

"A performance measurement approach that links business goals to performance metrics." (Linda Volonino & Efraim Turban, "Information Technology for Management" 8th Ed., 2011)

"A management tool that measures and manages an organization's progress toward strategic goals and objectives. Incorporates financial indicators with three other perspectives: customer, internal business processes, and learning and growth." (Joan C Dessinger, "Fundamentals of Performance Improvement" 3rd Ed., 2012)

"A balanced scorecard tallies organizational performance in financial, customer service, internal process, and innovation and learning areas." (John R Schermerhorn Jr, "Management" 12th Ed., 2012)

"First proposed by Kaplan and Norton in 1992, the balanced scorecard focused on translating strategy into actions, and promoted a move away from traditional financial measures. Instead, organizations were encouraged to develop a broad range of financial and nonfinancial lead and lag measures that provided insight into overall operating performance." (Sally-Anne Pitt, "Internal Audit Quality", 2014)

"One of the widely adopted performance management frameworks is the balanced scorecard technique designed by Kaplan and Norton. Balanced scorecards involve looking at an enterprise (private, public, or nonprofit) through four perspectives: financial, customer, learning and growth, and operations." (Saumya Chaki, "Enterprise Information Management in Practice", 2015)

"A tool for linking strategic goals to performance indicators. These performance indicators combine performance indicators relating to financial performance, consumer satisfaction, internal efficiency, and learning and innovation." (Robert M Grant, "Contemporary Strategy Analysis" 10th Ed., 2018)

"A balanced scorecard (BSC) is a performance measurement and management approach that recognizes that financial measures by themselves are not sufficient and that an enterprise needs a more holistic, balanced set of measures which reflects the different drivers that contribute to superior performance and the achievement of the enterprise’s strategic goals. The balanced scorecard is driven by the premise that there is a cause-and-effect link between learning, internal efficiencies and business processes, customers, and financial results." (Gartner)

"A strategic tool for measuring whether the operational activities of a company are aligned with its objectives in terms of business vision and strategy." (ISQTB)

"An integrated framework for describing strategy through the use of linked performance measures in four, balanced perspectives ‐ Financial, Customer, Internal Process, and Employee Learning and Growth. The Balanced Scorecard acts as a measurement system, strategic management system, and communication tool." (Intrafocus) 

02 January 2016

♜Strategic Management: Enterprise Architecture (Definitions)

"[Enterprise Architecture is] the set of descriptive representations (i. e., models) that are relevant for describing an Enterprise such that it can be produced to management's requirements (quality) and maintained over the period of its useful life. (John Zachman, 1987)

"An enterprise architecture is an abstract summary of some organizational component's design. The organizational strategy is the basis for deciding where the organization wants to be in three to five years. When matched to the organizational strategy, the architectures provide the foundation for deciding priorities for implementing the strategy." (Sue A Conger, "The new software engineering", 1994)

"An enterprise architecture is a snapshot of how an enterprise operates while performing its business processes. The recognition of the need for integration at all levels of an organisation points to a multi-dimensional framework that links both the business processes and the data requirements." (John Murphy & Brian Stone [Eds.], 1995)

"The Enterprise Architecture is the explicit description of the current and desired relationships among business and management process and information technology. It describes the 'target' situation which the agency wishes to create and maintain by managing its IT portfolio." (Franklin D Raines, 1997)

"Enterprise architecture is a family of related architecture components. This include information architecture, organization and business process architecture, and information technology architecture. Each consists of architectural representations, definitions of architecture entities, their relationships, and specification of function and purpose. Enterprise architecture guides the construction and development of business organizations and business processes, and the construction and development of supporting information systems." (Gordon B Davis, "The Blackwell encyclopedic dictionary of management information systems"‎, 1999)

"Enterprise architecture is a holistic representation of all the components of the enterprise and the use of graphics and schemes are used to emphasize all parts of the enterprise, and how they are interrelated." (Gordon B Davis," The Blackwell encyclopedic dictionary of management information systems"‎, 1999)

"Enterprise Architecture is the discipline whose purpose is to align more effectively the strategies of enterprises together with their processes and their resources (business and IT)." (Alain Wegmann, "On the systemic enterprise architecture methodology", 2003)

"An enterprise architecture is a blueprint for organizational change defined in models [using words, graphics, and other depictions] that describe (in both business and technology terms) how the entity operates today and how it intends to operate in the future; it also includes a plan for transitioning to this future state." (US Government Accountability Office, "Enterprise Architecture: Leadership Remains Key to Establishing and Leveraging Architectures for Organizational Transformation", GAO-06-831, 2006)

"Enterprise architecture is the organizing logic for business processes and IT infrastructure reflecting the integration and standardization requirements of a company's operation model." (Jeanne W. Ross et al, "Enterprise architecture as strategy: creating a foundation for business", 2006)

"Enterprise-architecture is the integration of everything the enterprise is and does." (Tom Graves, "Real Enterprise-Architecture : Beyond IT to the whole enterprise", 2007)

"Enterprise architecture is the organizing logic for business processes and IT infrastructure reflecting the integration and standardization requirements of the company's operating model. The operating model is the desired state of business process integration and business process standardization for delivering goods and services to customers." (Peter Weill, "Innovating with Information Systems Presentation", 2007)

"Enterprise architecture is the process of translating business vision and strategy into effective enterprise change by creating, communicating and improving the key requirements, principles and models that describe the enterprise's future state and enable its evolution. The scope of the enterprise architecture includes the people, processes, information and technology of the enterprise, and their relationships to one another and to the external environment. Enterprise architects compose holistic solutions that address the business challenges of the enterprise and support the governance needed to implement them." (Anne Lapkin et al, "Gartner Clarifies the Definition of the Term 'Enterprise Architecture", 2008)

"Enterprise architecture [is] a coherent whole of principles, methods, and models that are used in the design and realisation of an enterprise's organisational structure, business processes, information systems, and infrastructure." (Marc Lankhorst, "Enterprise Architecture at Work: Modelling, Communication and Analysis", 2009)

"Enterprise architecture (EA) is the definition and representation of a high-level view of an enterprise‘s business processes and IT systems, their interrelationships, and the extent to which these processes and systems are shared by different parts of the enterprise. EA aims to define a suitable operating platform to support an organisation‘s future goals and the roadmap for moving towards this vision." (Toomas Tamm et al, "How Does Enterprise Architecture Add Value to Organisations?", Communications of the Association for Information Systems Vol. 28 (10), 2011)

"Enterprise architecture (EA) is a discipline for proactively and holistically leading enterprise responses to disruptive forces by identifying and analyzing the execution of change toward desired business vision and outcomes. EA delivers value by presenting business and IT leaders with signature-ready recommendations for adjusting policies and projects to achieve target business outcomes that capitalize on relevant business disruptions. EA is used to steer decision making toward the evolution of the future state architecture." (Gartner)

"Enterprise Architecture [...] is a way of thinking enabled by patterns, frameworks, standards etc. essentially seeking to align both the technology ecosystem and landscape with the business trajectory driven by both the internal and external forces." (Daljit R Banger)


12 January 2014

🕸Systems Engineering: Systems Theory (Definitions)

"Systems theory pursues the scientific exploration and understanding of systems that exist in the various realms of experience, in order to arrive at a general theory of systems: an organized expressing of sets of interrelated concepts and principles that apply to all systems." (Béla H Bánáthy, "Systems Design of Education", 1991)

"Systems theory is an interdisciplinary field of science concerned with the nature of complex systems, be they physical or natural or purely mathematical." (Thomas B Sheridan, The System Perspective on Human Factors in Aviation, 2010) 

"Systems theory is the interdisciplinary study of systems in general, with the goal of elucidating principles that can be applied to all types of systems at all nesting levels in all fields of research. The term does not yet have a well-established, precise meaning, but systems theory can reasonably be considered a specialization of systems thinking; alternatively as a goal output of systems science and systems engineering, with an emphasis on generality useful across a broad range of systems (versus the particular models of individual fields)." (Gabriela Walker & Elizabeth Pattison, "Using Bronfenbrenner's Ecological Framework to Design Support Systems for Education and Special Education: Learning About Thought Systems", 2016)

"The assumption that quality of a part of a system can only be understood in its relationship to the whole and investigating the parts in isolation cannot explain their combined effect on the whole system." (Margaret S Suubi, "Education for Sustainable Development (ESD) in Higher Education", 2019) 

"Framework of describing how smaller, multiple units and components work together to create a larger system that is designed to carry out a particular function or meet a certain goal." (RaMonda Horton, "Systems-Based Approaches to Speech-Language Pathology Service Delivery for School Age Children", 2020)

"Is an interdisciplinary study of systems that takes a holistic approach to analysis that focuses on the elements within a system, how they interrelate, how they work over time and within the context of larger systems (e.g., natural or man-made)." (Tatiana C Valencia & Stephanie J Valencia, "Cultivating Flow and Happiness in Children", 2020)

"Systems theory is an interdisciplinary theory about the nature of complex systems in nature, society, and science. It is a framework by which one can use to study, investigate and describe any group of objects that work in collaboration towards a common purpose/goal."
(Cheryl M Cordeiro et al, "Culture From a Value Systems Perspective", 2020)

"The domain of systems inquiry that explores the principles and the description models of the abstract organization of phenomena, in an interdisciplinary manner and independently of their nature (natural or social systems) or scale of existence." (Evangelos C Papakitsos et al, "The Challenges of Work-Based Learning via Systemic Modelling in the European Union", 2020)

"Theory that holds that systems in nature are holistic, interconnected and interdependent. If a change occurs in one part of a system, other parts of the system are affected as well." (Joe Monaco & Edward W Schneider, "Building Performance Systems That Last", 2020)

07 July 2013

🎓Knowledge Management: Conceptual Model (Definitions)

"A conceptual model is a qualitative description of the system and includes the processes taking place in the system, the parameters chosen to describe the processes, and the spatial and temporal scales of the processes." (A Avogadro & R C Ragaini, "Technologies for Environmental Cleanup", 1993)

"A conceptual model is a model of the projected system that is independent of implementation details." (Michael Worboys, "GIS: A Computing Perspective", 1995)

"A conceptual model is what in the model theory is called a set of formulas making statements about the world." (Dickson Lukose [Eds.], "Conceptual Structures: Fulfilling Peirce's Dream" Vol 5, 1997)

"A conceptual model is a representation of the system expertise using this formalism. An internal model is derived from the conceptual model and from a specification of the system transactions and the performance constraints." (Zbigniew W. Ras & Andrzej Skowron [Eds.], Foundations of Intelligent Systems: 10th International Symposium Vol 10, 1997)

"A conceptual model is one which reflects reality by placing words which are concepts into the model in the same way that the model aeroplane builder puts wings, a fuselage, and a cockpit together." (Lynn Basford & ‎Oliver Slevin, "Theory and Practice of Nursing: An Integrated Approach to Caring Practice", 2003) 

"A conceptual model is simply a framework or schematic to understand the interaction of workforce education and development systems with other variables in a society." (Jay W Rojewski, "International Perspectives on Workforce Education and Development", 2004) 

"A conceptual model is a mental image of a system, its components, its interactions. It lays the foundation for more elaborate models, such as physical or numerical models. A conceptual model provides a framework in which to think about the workings of a system or about problem solving in general. An ensuing operational model can be no better than its underlying conceptualization." (Henry N Pollack, "Uncertain Science … Uncertain World", 2005)

"A particular kind of learning object design to be supplied to learners to support their mental modeling." (Daniel Churchill, "Mental Models" [in "Encyclopedia of Information Technology Curriculum Integration"], 2008)

"The concepts and constructs about real work things we have in our heads are called mental model." (Hassan Qudrat-Ullah, "System Dynamics Based Learning Environments" [in "Encyclopedia of Information Technology Curriculum Integration"], 2008)

"Representations of real or imaginary structure in the human mind enabling orientation as well as goal orientated actions and movements" (Ralf Wagner, "Customizing Multimedia with Multi-Trees" [in "Encyclopedia of Multimedia Technology and Networking" 2nd Ed.], 2009)

"A conceptual model is a qualitative description of 'some aspect of the behaviour of a natural system'. This description is usually verbal, but may also be accompanied by figures and graphs." (Howard S. Wheater et al., "Groundwater Modelling in Arid and Semi-Arid Areas, 2010) 

"[…] a conceptual model is a diagram connecting variables and constructs based on theory and logic that displays the hypotheses to be tested." (Mary Wolfinbarger Celsi et al, "Essentials of Business Research Methods", 2011) 

"A conceptual model of an interactive application is, in summary: the structure of the application - the objects and their operations, attributes, and relation-ships; an idealized view of the how the application works – the model designers hope users will internalize; the mechanism by which users accomplish the tasks the application is intended to support." (Jeff Johnson & Austin Henderson, "Conceptual Models", 2011)

"Simply put, a conceptual model is a simplified representation of reality, devised for a certain purpose and seen from a certain point of view."(David W Emble & Bernhard Thalheim, "Handbook of Conceptual Modeling", 2012) 

"Briefly, a conceptual model is the configuration of conceptual elements and the navigation between them. As such, a conceptual model is the foundation of the user interface of any interactive system." (Avi Parush, "Conceptual Design for Interactive Systems", 2015)

"A conceptual model is a framework that is initially used in research to outline the possible courses of action or to present an idea or thought. When a conceptual model is developed in a logical manner, it will provide a rigor to the research process." (N Elangovan & R Rajendran, "Conceptual Model: A Framework for Institutionalizing the Vigor in Business Research", 2015) 

"A model or conceptual model is a schematic or representation that describes how something works. We create and adapt models all the time without realizing it. Over time, as you gain more information about a problem domain, your model will improve to better match reality." (James Padolsey, "Clean Code in JavaScript", 2020)

Resources:
Quotes on "Conceptual Models" at the-web-of-knowledge.blogspot.com.

15 February 2013

🔦Process Management: Process model (Definitions)

"A formal, detailed description of a process that covers policies, activities, work products, roles, and responsibilities. Typically contains standards and procedures and identifies methods and tools as well. Contrast with process architecture." (Richard D Stutzke, "Estimating Software-Intensive Systems: Projects, Products, and Processes", 2005)

"A formal description of a business process. The definition is performed via a process definition language (PDL), which in most cases is WfMS-dependent." (C Combi & G Pozzi, "Workflow Management Systems for Healthcare Processes", 2008)

"Any description of a process (not necessarily formal), that shows a series of steps aimed at accomplishing some goal." (Harry S Delugach, "Formal Analysis of Workflows in Software Development", 2009)

"A means of representing the interrelated processes of a system at any level of detail with a graphic network of symbols, showing data flows, data stores, data processes, and data sources/destinations. Process modeling techniques are used to represent processes graphically for clearer understanding, communication, and refinement." (Anthony D Giordano, "Data Integration Blueprint and Modeling", 2010)

"Processes models (PM) are processes of the same nature that are classified together into a model. It involves the description and/or prescription of processes by the instantiation of levels to define process procedures and fuzzes." (Oluwole A Olatunji & William D Sher, "The Applications of Building Information Modelling in Facilities Management", 2010)

"(1) A framework wherein processes of the same nature are classified into an overall model, e.g. a test improvement model. (2) A method-independent process description of development processes." (IQBBA, "Standard glossary of terms used in Software Engineering", 2011)

"A model of the functions, activities, and procedures performed in any organization. A business process model may consist of: 1.A context diagram showing the relationship of the overall process to those outside the model’s scope, along with the inputs to and outputs from the overall process, 2.One or more functional decomposition diagram showing how the overall process is made up of contributing processes at lower levels (a “vertical view”), 3.One or more process flow diagrams showing how the outputs of one process serve as the inputs to other process (a “horizontal view”). The process flow may be cross-functional or within a single function, 4.One or more business process model diagrams, each depicting the inputs, outputs, start and end events, component activities, roles, and metrics of a single process, 5.The business definition of each process, and 6.The value chain analysis of the process, identifying relationships to data, organizations, roles, and systems." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"A detailed workflow diagram that expands upon a process map by including detailed descriptions of subprocesses, activities, and tasks including all input, output, decisions, and exceptions, as well as measurements of the resources consumed (such as time, FTEs, material, capital, systems, etc.) during the execution of the process. Supports analysis via drill-down examination and can provide the metrics necessary for use by software capable of process simulation and what-if scenario testing of alternative variables." (Carl F Lehmann, "Strategy and Business Process Management", 2012)

[Process Modeling and Analysis:] "The tools and techniques used to (1) map a workflow diagram illustrating the activities and tasks associated with a business process; (2) add complete detail necessary to identify and measure all the resources consumed during the execution of the processes; (3) measure performance outcomes; (4) simulate changes to activities, tasks, sequences, resources, assumptions, and so on using what-if scenarios to test and recalculate performance outcomes; (5) conclude the best combination of adjustments or changes necessary to optimize performance outcome of the process." (Carl F Lehmann, "Strategy and Business Process Management", 2012)

"A model showing the processes carried out by a system and the data interfaces between those processes; same as a data flow model." (James Robertson et al, "Complete Systems Analysis: The Workbook, the Textbook, the Answers", 2013)

30 October 2012

Programming: Framework (Definitions)

"Unifying, guiding architectural approach, as in the data warehouse bus architecture." (Ralph Kimball & Margy Ross, "The Data Warehouse Toolkit" 2nd Ed., 2002)

"A collection of classes, functions, protocols, documentation, and header files and other resources that are all related." (Stephen G Kochan, "Programming in Objective-C", 2003)

"A set of collaborating abstract and concrete classes that may be used as a template to solve a related family of problems. It is usually extended via subclassing for application-specific behavior." (Craig Larman, "Applying UML and Patterns", 2004)

"A coherent architecture that provides an incomplete template for systems within a specific domain; a coherent set of design patterns." (Bruce P Douglass, "Real-Time Agility", 2009)

"A support structure for developing software products." (Judith Hurwitz et al, "Service Oriented Architecture For Dummies" 2nd Ed., 2009)

"1.Generally, a basic skeletal structure. 2.Conceptually, a classification scheme used to better understand a topic; a defined and documented paradigm, used as a lens to view a complex problem. 3.In software development, a reusable object-oriented design, including a library of reusable classes and other components, along with standards for designing additional components and how they interact." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"A support structure for developing and managing software products." (Marcia Kaufman et al, "Big Data For Dummies", 2013)

"A structure for supporting something else." ( Manish Agrawal, "Information Security and IT Risk Management", 2014)

"A support structure for developing and managing software." (Judith S Hurwitz, "Cognitive Computing and Big Data Analytics", 2015)

"A conceptual set of rules and ideas that provide structure to a complex and challenging situation." (Weiss, "Auditing IT Infrastructures for Compliance" 2nd Ed., 2015)

"A framework is a set of concepts that provide the basic structure for understanding a domain, enabling a common vocabulary for different explanatory theories." (Robert J Glushko, "The Discipline of Organizing: Professional Edition" 4th Ed., 2016)

17 January 2012

🚧Project Management: Project Governance (Definitions)

"Systems and methods by which a program is monitored, managed, and supported by its sponsoring organization." (Project Management Institute, "The Standard for Program Management" 3rd Ed.., 2013)

"A document that describes the systems and methods to be used to monitor, manage, and support a given program, and the responsibilities of specific individuals for ensuring the timely and effective use of those systems and methods." (Project Management Institute, "The Standard for Program Management" 3rd Ed. 2013)

"The alignment of project objectives with the strategy of the larger organization by the project sponsor and project team. A project’s governance is defined by and is required to fit within the larger context of the program or organization sponsoring it, but is separate from organizational governance." (For Dummies, "PMP Certification All-in-One For Dummies" 2nd Ed., 2013)

"Project governance helps make sure that a project is executed according to the standards of the organization performing the project. Governance keeps all project activities above board and ethical, and also creates accountability." (Chartered Institute of Building, "Code of Practice for Project Management for Construction and Development" 5th Ed., 2014)

"The framework, functions, and processes that guide project management activities in order to create a unique product, service, or result to meet organizational, strategic, and operational goals." (Project Management Institute, "A Guide to the Project Management Body of Knowledge (PMBOK Guide)", 2017)

"Governance is the framework by which an organization is directed and controlled. Project governance includes, but is not limited to, those areas of organizational governance that are specifically related to project activities." (ISO 21500:2012)

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IT Professional with more than 24 years experience in IT in the area of full life-cycle of Web/Desktop/Database Applications Development, Software Engineering, Consultancy, Data Management, Data Quality, Data Migrations, Reporting, ERP implementations & support, Team/Project/IT Management, etc.