{"title":"Tracing Management Fashions in Selected Indices: A Descriptive Statistical Study","authors":"H. Tutar, T. Sarkhanov","doi":"10.2478/orga-2022-0013","DOIUrl":null,"url":null,"abstract":"Abstract Background and purpose: Although management fashions have been discussed for nearly 30 years, a certain amount of time had to pass before the discussions were based on factual data. This research mainly aims to trace management approaches in some selected international indices over nearly half a century. In this study, the basic question of how the historical course of management fashions has developed has been answered by following the development course. Methods: The Descriptive Statistical method was preferred in the study because of its suitability to the subject’s essence, the purpose of the research, and the research question’s answer. The research was carried out based on the data collected about management trends by scanning the Web of Science and Scopus databases covering 1975-2020. Results: Management fashions follow rapid adoption, implementation, disappointment, and abandonment. Research results; show that the lack of knowledge and awareness of management fashions poses a significant waste of time and intellectual capital. This determination is crucial, especially for young researchers and new generation managers. Conclusion: In conclusion, it can be said that while new approaches that have tangible counterparts and can be grounded continue, approaches that do not have concrete counterparts disappear, causing a waste of time and mental effort.","PeriodicalId":44901,"journal":{"name":"Organizacija","volume":"55 1","pages":"199 - 213"},"PeriodicalIF":1.5000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organizacija","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/orga-2022-0013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Background and purpose: Although management fashions have been discussed for nearly 30 years, a certain amount of time had to pass before the discussions were based on factual data. This research mainly aims to trace management approaches in some selected international indices over nearly half a century. In this study, the basic question of how the historical course of management fashions has developed has been answered by following the development course. Methods: The Descriptive Statistical method was preferred in the study because of its suitability to the subject’s essence, the purpose of the research, and the research question’s answer. The research was carried out based on the data collected about management trends by scanning the Web of Science and Scopus databases covering 1975-2020. Results: Management fashions follow rapid adoption, implementation, disappointment, and abandonment. Research results; show that the lack of knowledge and awareness of management fashions poses a significant waste of time and intellectual capital. This determination is crucial, especially for young researchers and new generation managers. Conclusion: In conclusion, it can be said that while new approaches that have tangible counterparts and can be grounded continue, approaches that do not have concrete counterparts disappear, causing a waste of time and mental effort.
期刊介绍:
Organizacija (Journal of Management, Information Systems and Human Resources) is an interdisciplinary peer reviewed journal that seeks both theoretical and practical papers devoted to managerial aspects of the subject matter indicated in the title. In particular the journal focuses on papers which cover state-of art developments in the subject area of the journal, its implementation and use in the organizational practice. Organizacija is covered by numerous Abstracting & Indexing services, including SCOPUS.