Results 221 to 230 of about 1,546,634 (267)

Systems and Information Science

2020
Systems are created by analysts as models of real-world structures, specified at various levels. General Systems identifies such terms as open and closed systems, with an example of the latter. The Earth system models our planet in terms of geosphere, hydrosphere, atmosphere, and biosphere.
openaire   +1 more source

Systems science, information systems theory, and informational macrodynamics: review

Kybernetes, 2007
PurposeScience of systems requires a specific and constructive mathematical model and language, which describe jointly such systemic categories as adaptation, self‐organization, complexity, evolution, and bring the applied tools for building a system model for each specific object of a diverse nature.
openaire   +1 more source

An Evolutionary Approach in Information Systems Science

Journal of the American Society for Information Science, 1982
AbstractThis article is concerned with a layout of methodological apparatus revealing the logical transition of information theory from one kind to another, creating from the existing information theory (i.e., informal theory) (i) a near‐formal information‐theoretic axiomatic system and (ii) an information metatheory (only briefly sketched here).
openaire   +1 more source

Paradigms in information science

Kybernetes, 2016
Purpose– The purpose of this paper is the conceptual expansion of the science-theoretical foundations of information science, i.e. to develop new thought schemes for information science.Design/methodology/approach– The design of the paper is as follows: first, the paper will discuss the foundation of the systemic paradigm (SP).
Daniel J. Adriaenssen, Jon-Arild Johannessen   +1 more
openaire   +1 more source

Information Systems and Systems Science

1993
There is little doubt about the relationship between the success or failure of business in the market economy and the wealth of the population. the interrelationship between the two is equally relevant at every level of recursion whether that be at global, national or local level.
openaire   +1 more source

Information systems: a “cargo cult” science?

Journal of Enterprise Information Management, 2010
PurposeThis article seeks to revitalise and add to the debate on the rising and declining fortunes of the field of information systems, to contrast and compare this to computer science, and to argue for a review within the field of the scientific basis of the field in general.Design/methodology/approachThe article draws upon the existing debate within ...
openaire   +1 more source

Scientific elitism and the information system of science

Journal of the American Society for Information Science, 1973
AbstractScientific elitism must be viewed as a multidimensional phenomenon. Ten variables of elitism are considered and a principal components factor analysis is used to scale this multivariate domain. Two significant dimensions of elitism were found; one in basic and one in applied science.
openaire   +1 more source

Information Systems in Management Science—Operations Research, Management Science and Information Systems

Interfaces, 1977
An overview of goals and policies of the column and what would be desirable to see in Interfaces and in our society. Listed are axioms and postulates, strategic objectives, tactical objectives, and a call for contributions.
openaire   +1 more source

Information Systems in Management Science: Management Information System—What It Is and Why?

Management Science, 1970
The topic, “A Management Information System—What It is and Why” was suggested by work that I did recently in preparation for the German symposium, “MIS—A Challenge to Scientific Research.” In reviewing my own ideas about management information, I keep coming back to one primary thought, that the only value that information has to management is to ...
openaire   +1 more source

Information Systems in Management Science—Geometry of Information Systems. Part I

Interfaces, 1977
This column advocates an unbounded and irrational faith in mathematical models. I believe, as stated repeatedly in these columns, that mathematical discourse is the way to combat semantic pollution, obtain understanding, and create insight to managerial situations.
openaire   +1 more source