PurposeThis essay raises a concern about the trajectory that new institutionalism has been following during the last decades, namely an emphasis on heterogeneity, change and agentic behavior instead of isomorphism and conformist behavior. This is a crucial issue from the perspective of the philosophy and methodology of science since a theory that admits both change and stability as a norm has less scientific weight then a theory that predicts a prevalence of passivity and isomorphism over change and strategic behavior. The former provides explanations and predictions while the latter does not.Design/methodology/approachThe paper offers an analysis of the nature, characteristics, functions and boundaries of institutional theories in the spirit of philosophy and methodology of science literature.FindingsThe power of the former institutional theory developed by Meyer, Rowan, DiMaggio and Powell lies in its generalization, explanation and prediction of observable and unobservable phenomena: as a typical organizational theory that puts forward directional predictions, it explains and predicts the tendency for organizations to become more similar to each other over time and express less strategic and interest-driven behavior, conforming to ever-increasing institutional pressures. A theory of isomorphism makes scientific predictions while its modern advancements do not. Drawing on Popper's idea of the limit of domains of explanation and limited domains of theories we present two propositions that may direct our attention towards the strength or weakness of institutional theories with regard to their explanations of organizational processes and behavior.Practical implicationsThe paper draws implications for further theory building in institutional analysis by suggesting the nature of institutional explanations and the place of institutional change in the theoretical apparatus. Once institutional theory explains the tendency of the system towards equilibrium, there is no need to explain the origins and causes of radical change per se. Institutional isomorphism theory explains and predicts how even after radical changes organizational fields will move towards isomorphism, that is, institutional equilibrium. The task is, therefore, not to explain agency and change but to show that it is natural and inevitable processes that organizational field will return to isomorphic dynamics and move towards homogenization no matter how much radical change occurred in this field.Originality/valueThe paper discusses the practical problems with instrumental utility of institutional theories. In order to be useful any theory must clearly delineate its boundaries and offer explanations and predictions and it is only the former 1977/1983 institutional theory that satisfies these requirements while modern advancements merely offer ambiguous theoretical umbrellas that escape empirical tests. For researchers therefore it is important to recognize which theory can be applied in a given limited domain of research and which one has little or no value.
All rights reserved. Printed in the United States of America. No part of this publication may be reproduced, distributed, or transmitted, in any form or by any means, or stored in a data base or retrieval system, without the prior written permission of the publisher. The content and reliability of the articles are the responsibility of the authors. When using and borrowing materials reference to the publication is required. The collection of scientific articles published is the scientific and practical publication, which contains scientific articles of students, graduate students, Candidates and Doctors of Sciences, research workers and practitioners from Europe and Ukraine. The articles contain the study, reflecting the processes and changes in the structure of modern science.
Економічні науки УДК 658.016:36 БАЛАН ВАЛЕРІЙ, кандидат фізико-математичних наук, доцент кафедри менеджменту інноваційної та інвестиційної діяльності Київського національного університету імені Тараса Шевченка, м. Київ ТИМЧЕНКО ІННА, аспірант кафедри менеджменту інноваційної та інвестиційної діяльності Київського національного університету імені Тараса Шевченка, м. Київ ФОРМУВАННЯ СТРАТЕГІЇ РОЗВИТКУ ПІДПРИЄМСТВА НА ОСНОВІ ДИНАМІЧНОГО SPACE-АНАЛІЗУ У статті запропоновано методику формування стратегії розвитку підприємства та його стратегічних бізнес-одиниць на основі застосування SPACE-аналізу, для якого вдосконалено методичний інструментарій шляхом розгляду динамічного підходу та розробки матриці стратегічних рішень для визначених базових траєкторій. Результатом застосування методики є формування стратегічних рекомендацій для оновлення ділових стратегій енергетичного холдингу Донбаської паливно-енергетичної компанії (ДПЕК), що дадуть змогу підвищити конкурентоспроможність та економічну стійкість. Ключові слова: стратегічна діагностика; портфельний аналіз; динамічний SPACE-аналіз; базові траєкторії; S-вектор; матриця стратегічних рішень; енергетичний холдинг.
The stage of selecting creative ideas that have the prospect of further commercial use and can be used to create new products, services, or startups is one of the most complex and important stages of the innovation process. It is essential to take into account expert opinions and evaluations, often vague and ambiguous. The study aims to develop a methodological approach to measure the commercial potential of new product ideas based on fuzzy set theory and fuzzy logic. To this end, three calculation schemes are developed: the first two are based on fuzzy multicriteria analysis using Fuzzy SAW and Fuzzy TOPSIS methods, respectively; the third is based on building a logical-linguistic model with fuzzy expert knowledge bases and applying fuzzy inference using the Mamdani algorithm. Fuzzy numbers in triangular form with triangular membership functions are used to present linguistic estimates of experts and fuzzy data; the CoA (Center of Area) method is used to dephase the obtained values. For practical application of the proposed algorithm, the model is used as an Excel framework containing a general set of input expert information in the form of linguistic estimates and fuzzy data, a set of calculations using three schemes, and a set of defuzzification of the obtained results. The framework allows for simulation modeling depending on the modification of the list of defined evaluation criteria and their partial criteria, and adjustments to expert opinions. The developed methodological approach is suggested for the initial stages of the innovation process to facilitate the assessment of creative ideas and improve their implementation. AcknowledgmentThis scientific paper is published with the support of the International Visegrad Fund.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.