Mierzwiak, Rafaɫ. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIII, 130 p. 28 illus. online resource. This 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. -- 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. by Rafaɫ Mierzwiak. Operations research Operations Research and Decision Theory T57.6-.97 9789819724130 https://doi.org/10.1007/978-981-97-2413-0 https://doi.org/10.1007/978-981-97-2413-0 240521 20251030112051.0 978-981-97-2413-0