7 results on '"Economics of complexity"'
Search Results
2. Introduction
- Author
-
Mazzoni, Clelia and Mazzoni, Clelia
- Published
- 2024
- Full Text
- View/download PDF
3. Digital transformation in the economics of complexity: the role of predictive models in strategic management
- Author
-
Iscaro, Valentina, Castaldi, Laura, Maresca, Paolo, and Mazzoni, Clelia
- Published
- 2022
- Full Text
- View/download PDF
4. Technological differentiation in the development of the Ural macroregion’s subjects
- Author
-
Marina V. Evseeva
- Subjects
technological development ,ural macroregion ,total factor productivity ,economics of complexity ,diversity ,processing industry ,Commerce ,HF1-6182 ,Economics as a science ,HB71-74 - Abstract
At the local level, regions are the entities that have to grapple with the problem of Russia’s technological breakthrough directly. The paper aims to uncover the reasons behind the differences in technological development of the subjects of the Ural macroregion. The econom ics of complexity and new Schumpeterian theory of economic growth constitute the methodo logical basis of the research. The author applies economic mathematical methods of analysis, as well as analytical tools of the ecosystem approach to examine the sample of 3,436 manufactur ing companies from the seven subjects of the Ural macroregion in the period of 2007–2019. The researcher specifies separate technologies by disagregating industries using All-Russian Classification of Economic Activities (OKVED-2). Companies are divided into three groups depending on the type of the main implemented technology: system, component or basic. The findings reveal that leading regions feature high degree of technological complexity determined on the basis of technological diversity and localisation of the system integrator companies. Ad ditionally, leaders significantly outperform other regions in total factor productivity of compa nies employing different groups of technologies. The research demonstrates that the presence of a system technology in a region stimulates the development of a family of related compo nent technologies, which may be located not only in the region of operation, but in also in the neighboring less technologically developed regions. This gives rise to the assumption that in the macroregion a separate technological ecosystem may form. The empirical data show that the domination of separate technologies in a region may slow down the technological development. The results of the research can be helpful while devising the plans for technological and spatial development of territories.
- Published
- 2020
- Full Text
- View/download PDF
5. Digital transformation in the economics of complexity: the role of predictive models in strategic management
- Author
-
Valentina Iscaro, Paolo Maresca, Laura Castaldi, Clelia Mazzoni, Iscaro, Valentina, Castaldi, Laura, Maresca, Paolo, Mazzoni, Clelia, Iscaro, V., Castaldi, L., Maresca, P., and Mazzoni, C.
- Subjects
Knowledge 4.0 ,Process management ,Social learning cycle ,Computer science ,business.industry ,Strategy and Management ,Big data ,Digital transformation ,Economics of complexity, Digital transformation, Predictive models, Knowledge 4.0, Social learning cycle, Big data, Strategic management ,Strategic management ,Predictive model ,Business and International Management ,business ,Economics of complexity - Abstract
PurposeThis paper aims to investigate the role of predictive models in the learning and decision-making processes of strategic management. The rapid advancement of digitalisation has contributed to increasing the complexity of the worldwide economy and led to various new competitive dynamics.Design/methodology/approachTo achieve this purpose, a literature review has been carried out and a predictive model based on Watson, an IBM supercomputer, is presented as a qualitative process model.FindingsSpecific insights derived from a review of the literature highlight organisations' need to modify their decision- and strategy-making processes, which are increasing in speed and frequency, thus also leading to the formulation of emergent and trigger event strategies based on the identification of conditions that require the revision of all or part of the firm's strategy. Predictive models, acting as filters, transform data into informative knowledge that decision-makers can interpret based on individual domain knowledge.Originality/valueFrom a theoretical point of view, this paper contributes to the field of digital transformation by proposing the economics of complexity as a paradigm through which to observe and study the issue of predictive models in strategic management. Additionally, the authors analyse the phenomenon from a cognitive perspective, defining the new learning dynamics of digital transformation and the social learning cycle triggered by big data and predictive models. From a managerial and policy-making point of view, this suggests the need to re-shape traditional education contents and dynamics and foster skills that are multi-disciplinary, multi-domain, multi-empathic, multi-interaction and multi-communication between people and things.
- Published
- 2021
6. The economics of innovation: a review article.
- Author
-
Cecere, Grazia
- Subjects
ECONOMIC models ,ECONOMIC research ,EXTERNALITIES ,INNOVATIONS in business ,ECONOMIC indicators - Abstract
This article reviews two recent handbooks in economics of innovation. It analyses the large empirical evidence summarized and identifies the foundations of the theoretical approach to the economics of innovation of these two publications. We highlight their common research questions and fields of investigation, and point to differences in their orientation to research in the economics of innovation. It seems that despite the large number of sector studies and theoretical developments we need to know more about the complex interactions among agents and the effects of pecuniary externalities. Both handbooks have different objectives and theoretical underpinnings, but both conclude that innovation is as much the result of individual action as the characteristics of the system in which individual agents are embedded. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
7. The economics of innovation : a review article
- Author
-
Grazia Cecere, Département Droit, Economie et Finances (DEFI), Télécom Ecole de Management (TEM)-Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom Business School (IMT-BS), Institut Mines-Télécom [Paris] (IMT), Analyse des Dynamiques Industrielles et Sociales (ADIS), Département d'Economie-Université Paris-Sud - Paris 11 (UP11), Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) (LITEM), Grenoble Ecole de Management-Université d'Évry-Val-d'Essonne (UEVE)-Télécom Ecole de Management (TEM), LITEM-IMO, Département Droit, Economie et Finances (IMT-BS - DEFI), Université Paris-Sud - Paris 11 (UP11)-Département d'Economie, and EESC-GEM Grenoble Ecole de Management-Université d'Évry-Val-d'Essonne (UEVE)-Télécom Ecole de Management (TEM)
- Subjects
Public economics ,Applied economics ,Economics of innovation ,General Engineering ,Commercial law ,Review article ,Action (philosophy) ,Need to know ,Accounting ,Economics ,[SHS.GESTION]Humanities and Social Sciences/Business administration ,Business and International Management ,Positive economics ,Empirical evidence ,Economics of complexity ,Externality ,Heterodox economics - Abstract
CNRS 3, FNEGE 3, HCERES B; International audience; This article reviews two recent handbooks in economics of innovation. It analyses the large empirical evidence summarized and identifies the foundations of the theoretical approach to the economics of innovation of these two publications. We highlight their common research questions and fields of investigation, and point to differences in their orientation to research in the economics of innovation. It seems that despite the large number of sector studies and theoretical developments we need to know more about the complex interactions among agents and the effects of pecuniary externalities. Both handbooks have different objectives and theoretical underpinnings, but both conclude that innovation is as much the result of individual action as the characteristics of the system in which individual agents are embedded.
- Published
- 2015
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.