03006nam a22004335i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153072001600167072001700183072002300200072001500223072001600238100008000254245012000334250001800454264007200472300004500544336002600589337002600615338003600641347002400677490003800701505036900739520114201108650002502250650004502275710003402320773002602354776003602380776003602416776003602452830003802488856004602526978-981-97-2413-0DE-He21320251030112051.0cr nn 008mamaa240521s2024 si | s |||| 0|eng d a97898197241307 a10.1007/978-981-97-2413-02doi 4aT57.6-.97 7aKJT2bicssc 7aKJMD2bicssc 7aBUS0490002bisacsh 7aKJT2thema 7aKJMD2thema1 aMierzwiak, Rafaɫ.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aMethodological Aspects of Grey Systems Theory in Management Researchh[electronic resource] /cby Rafaɫ Mierzwiak. a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024. aXIII, 130 p. 28 illus.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aSeries on Grey System,x2731-49440 a -- Introduction. -- Category of greatness in management science research. -- Characteristics of grey analytic models and their application potential in management science research. -- The use of grey system theory methods in management sciences in literature study. -- Model for the selection of grey research methods in management sciences. -- Bibliography. aThis book illustrates the application of grey systems theory to management science research, by developing selection procedures for grey analytical methods suitable for forecasting, decision-making, and analysing variable relationships. Highlights the similarity between grey system theory and other uncertainty modelling methods, introducing demarcation criteria between grey system theory, fuzzy logic, and statistical approaches. The book leverages the concept of a "grey space" to move beyond the intuitive understanding of grey, presenting a logical and mathematical model of the concept. Connects grey information with traditional management research paradigms and strategies, serving as a methodological guide to grey methods tailored for social sciences, especially management research. The aim is to facilitate management science readers' understanding of how grey systems theory can be applied in research, providing specific guidance on the use of grey methods in management studies and discussing their possibilities and limitations. This work provides methodological guidelines for conducting research in management science. 0aOperations research.14aOperations Research and Decision Theory.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981972412308iPrinted edition:z978981972414708iPrinted edition:z9789819724154 0aSeries on Grey System,x2731-494440uhttps://doi.org/10.1007/978-981-97-2413-0