scholarly journals Methodological bases for the elaboration of cognitive models forming the mechanism and the rational dimension of the instruments of state regulation of the development of the horticulture and viticulture industries

Author(s):  
E. A. Egorov ◽  
Zh. A. Shadrina ◽  
G. A. Kochyan

The article presents the relevance of conducting research in the fi eld of scientifi c and methodological substantiation of the rational dimensionality of multifunctional target regulators suffi cient to organize expanded reproduction in such capital-intensive industries as horticulture and viticulture. The current trends in the development of horticulture and viticulture industries are analyzed, and the factors hindering the development of industry sectors of the economy are identifi ed. The necessity of improvement the mechanism and tools for regulating the processes of development of industrial fruit growing and viticulture and substantiation the rational dimensionality of regulators, which ensure the necessary pace of development of industry sectors of the agricultural economy, is proved. A defi nition of the cognitive map of the formation of the mechanism and tools of state regulation of the development of the agricultural economy subcomplexes is given according to the criteria of effi ciency and sustainability, which also takes into account specifi c indicative parameters of their development. This map will reveal the functional relationships between the eff ectiveness of government support measures and the performance of business entities. The methodological basis for the elaboration of cognitive models for the formation of the mechanism and tools of state regulation of the development of industrial sectors of the agricultural economy is worked out. An algorithm for cognitive modeling of the mechanism and rational dimension of development management tools is proposed, including clarifi cation of goal setting and local tasks; evaluation of the adequacy of instruments of state regulation of reproduction processes; development of a cognitive map of the formation of the mechanism and instruments of state regulation; development of a system of criteria and performance indicators of state regulators of reproductive processes and agro-industrial complexes; cognitive modeling of the rational dimension of government regulation tools based on digital technologies and automated system-cognitive analysis methods. The use of cognitive models for the formation of a rational dimension of state regulation tools will provide a fl exible response to all changes in the external and internal environment in accordance with the goals and take into account the territorial specifi cs of industry production.

2021 ◽  
Vol 75 (4) ◽  
pp. 3-12
Author(s):  
Zayats Yuriy Aleksandrovich ◽  
◽  
Zayats Tatiana Mikhailovna ◽  
Savelyev Maksim Anatolevich ◽  
◽  
...  

Logistics support of products at all stages of the life cycle is gaining increasing influence. This is facilitated by the increasing complexity of structures, a large number of elements, the intro-duction of mechatronic systems. Under these conditions, the relevance of developing methods for analyzing the design of samples increases. The developed model for analyzing the diesel cooling system is based on the principles of cognitive modeling. The practical significance of cognitive models is shown, which consists in the possibility of predicting changes in the influence of system elements on the target function in various operating conditions.


2018 ◽  
Vol 7 (2) ◽  
pp. 245-247
Author(s):  
Alsu Raufovna Kamaleeva ◽  
Svetlana Yurevna Gruzkova

The following paper deals with the application of methodology of pedagogical situations cognitive modeling, which is considered by the authors as a process consisting of six consecutive and interconnected stages. The first stage is a formulation of the purpose and the corresponding tasks. The second stage provides collecting, systematization and analysis of a pedagogical situation with the subsequent allocation of the major factors influencing development of the situation and determination of interrelation between them, i.e. creation of a cognitive map. At the third stage a focused count is created as a result of accounting of the cause and effect chains reflecting the system of interaction between the educational process subjects and allowing to form a pedagogical theory on the basis of basic person study categories: consciousness, thinking, knowledge, understanding, etc. The fourth stage assumes combination of the cognitive map and the focused count in a uniform cognitive model of the studied pedagogical situation. The fifth stage is focused on a real pedagogical situation cognitive model adequacy check i.e. on its verification. The last sixth stage allows to define possible options of a pedagogical situation development by a cognitive model, to find ways and mechanisms of a situation impact.


Author(s):  
Nemer Louay Badwan

This study summarizes the impact of common problems between capital and industry sectors and aims to find solutions to these problems to reduce them or to reduce them. It also clarifies the resemblance and comparison of technology to the sectors of industry and capital in Russian Russia. Russia's total over the previous years, and show what happened in the Russian financial market following the withdrawal of many capital and investors from within Russia to abroad, and also shows us this study also the rotational nature of capital in Russia, as this study shows some of its objectives as a most important explanation The capital and industry sectors, their success factors and competitiveness in their application. It also shows the impact of capital financing on industries, clarifying the role of capital finance in various investment projects and in different sectors of industry, and summarizes the scientific and practical concept of capital and industry sectors. And the process, and this can be seen through analytical, graphical and statistical tables within the Russian market in terms of products, profits and losses of the Russian industries by percentages, and the exposure of some Russian investments within Russia, As well as some of the dynamics of consumption within Russia in terms of expenditures, exports, imports and expenditures, and the structure of small and medium-sized enterprises in percentages in terms of production and consumption In the various sectors of Russian industry. The study also summarizes the role of the Russian financial market in the national economic activity and the ratios of fixed assets and the total amounts invested and taxes imposed on them. The study also examined the financial and industrial activities of most of the industrial sectors in Russia and their impact on the economic situation inside the country.


2019 ◽  
Author(s):  
Michael David Wilson ◽  
Russell Boag ◽  
Luke Joseph Gough Strickland

Lee et al. (2019) make several practical recommendations for replicable and useful cognitive modeling. They also point out that the ultimate test of the usefulness of a cognitive model is its ability to solve practical problems. Solution-oriented modeling requires engaging practitioners who understand the relevant applied domain but may lack extensive modeling expertise. In this commentary, we argue that for cognitive modeling to reach practitioners there is a pressing need to move beyond providing the bare minimum information required for reproducibility, and instead aim for an improved standard of transparency and reproducibility in cognitive modeling research. We discuss several mechanisms by which reproducible research can foster engagement with applied practitioners. Notably, reproducible materials provide a starting point for practitioners to experiment with cognitive models and evaluate whether they are suitable for their domain of expertise. This is essential because solving complex problems requires exploring a range of modeling approaches, and there may not be time to implement each possible approach from the ground up. Several specific recommendations for best practice are provided, including the application of containerization technologies. We also note the broader benefits of adopting gold standard reproducible practices within the field.


2015 ◽  
Vol 16 (3) ◽  
pp. 466-489 ◽  
Author(s):  
Allan O'Connor ◽  
Kai Du ◽  
Göran Roos

Purpose – Developed economies with high-cost environments face industrial transitions from scale-based manufacturing (MAN) to knowledge, technology and intangible asset-based sectors. The purpose of this paper is to examine the changes in employment and value-adding profiles of transitioning industry sectors in Australia and discuss the implications for policy that influences the intellectual capital (IC) profile of industrial sectors in transition. Design/methodology/approach – The approach borrowed concepts from the firm-level strategic management literature and applied them to a macro level of industry analysis. In this paper the authors examine the transitions in the Australian economy which, due to a rising cost base, is experiencing a decline in its value chain-oriented MAN sector. The authors contrast four industry sectors with the MAN sector and examine the different value creation models. Findings – The findings clearly show how the contribution to employment and value added (termed Economic Value Contribution ) of the different sectors vary. The authors extend these findings to a discussion on policy and the dimensions of IC that may have a role to play in facilitating transitions within an economy. The main conclusion is that a more rapid transition and higher value may be created if innovation and entrepreneurship are facilitated by targeted policies in transitioning sector. Research limitations/implications – This work is based on a single country analysis of selected industry sectors. Further work needs to be done across many more countries to contrast the findings across nations/regions that differ in industrial complexity and to refine the analytical framework to improve construct validity and increase analytical power. Practical implications – This work has implications for policy-makers facing the challenges of a transitioning economy, whether national or regional. Governments that are hands-on with respect to interventions to salvage and/or extend the life of sectors are at risk of missing opportunities to build the capacities and capabilities of emerging sectors while those governments that are hands-off, deferring to market mechanisms, risk transitions that are too little and/or too late to maintain a national or regional competitiveness. Originality/value – To the authors knowledge, this is the first attempt to integrate the specific firm-level strategic management perspectives, used in this paper, with the macro-policy level to examine industry sectors with the twin metrics of economic productivity and employment in transitioning economies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shailendra Kumar ◽  
Mohammad Asjad ◽  
Mohd. Suhaib

Purpose This paper aims to put forward a labelling system capable of reflecting the level of different Industry 4.0 (I4.0)features present in a manufacturing system and further propose a comparative index to collectively estimate and compare the system automation level. Design/methodology/approach Data for the empirical study were collected from interactions with the practising managers and experts. A relationship among the six I4.0 features is developed with fuzzy cognitive maps. Findings The paper proposed a simple and easy-to-understand labelling system for I4.0 systems, which indicates the automation level in each of six dimensions of any manufacturing system. The system is further strengthened by a proposed automation comparative index (ACI), which collectively reflects the automation level on a scale of “0” to “1”. Thus, the labelling system and parameter could help in comparing the level of automation in the manufacturing system and further decision-making. Research limitations/implications Only seven industrial sectors are illustrated in the paper, but the proposed concept of the classification scheme and ACI find their applicability on a large spectrum of industries; thus, the concept can be extended to other industrial sectors. Furthermore, a threshold value of ACI is a differentiator between a I4.0 and other automated systems. Both aspects have the scope of further work. Practical implications The way and pace by which the industrial world takes forward the concept of I4.0, soon it will need a labelling system and a parameter to assess the automation level of any automated system. The scheme assesses the automation level present in a manufacturing system. It will also estimate the level of the presence of each of all six attributes of an I4.0 system. Both labelling system and ACI will be the practical tools in the hands of the practising managers to help compare, identify the thrust areas and make decisions accordingly. Originality/value To the best of the authors’ knowledge, this is the first study of its kind that proposed the labelling system and automation comparison index for I4.0 systems.


2019 ◽  
Vol 11 (4) ◽  
pp. 1121 ◽  
Author(s):  
Julian Marius Müller

Digital platforms are expected to have the potential for a multitude of purposes forindustrial enterprises, for instance when integrated within the concept of Industry 4.0. Despite itsrelevance for industrial value creation, little research on platforms in the industrial context hasbeen undertaken so far. Owing to the lack of research in this field, the paper aims to investigate thepotentials and challenges of digital platforms in order to generate an understanding of theantecedents to the use of digital platforms by established manufacturers. In thequalitative-exploratory study, the paper uses a qualitative empirical research approach, relying onin-depth expert interviews. The sample comprises interviews with managers of 102 German andAustrian industrial enterprises from several industrial sectors. All of the enterprises regarded havepractical experiences with digital platforms. The results show that the main potentials of digitalplatforms are reducing transaction costs, combining strengths of enterprises, and realizingeconomies of scale as well as economies of scope. Yet, digital platforms bring challenges, such as alack of trust, competitive thinking, high coordination efforts, and loss of confidential information.The paper further distinguishes between various industry sectors revealing interesting differences.Based on the results, the paper indicates possibilities for future research and provides corporatepractice with implications.


Author(s):  
Steven Estes

This paper describes a cognitive modeling effort for the O'Hare Modernization Project (OMP). Beginning with a statement of the problem, it describes how cognitive modeling was used to measure the mental workload and work time of controllers running various positions at O'Hare International Airport, both under the current airport configurations and a future set of configurations (proposed in the OMP). The O'Hare case is used as an exemplar of the type of data that can be acquired with relatively simple cognitive models


2019 ◽  
Vol 10 (4) ◽  
pp. 1258
Author(s):  
Oksana KARASHCHUK ◽  
Ilmir NUSRATULLIN ◽  
Vladimir TRETYAKOV ◽  
Mikhail SHMATOV ◽  
Alexander REZVAN

The objective of this paper is to substantiate some proposals for improving state regulation of the retail network in Russia. In some regions of Russia, there is a lack of retail supply for the population, which requires government support for retail network development. State regulation of the trading network in Russia is carried out via establishing by the authorities of Russia’s administrative regions and local authorities of the minimum standards for public provision of trading floor space. However, only 3% of municipalities in Russia develop these standards; it reflects a low practical significance of the established indicators. The authors made a hypothesis that the indicators of retail floor space per thousand inhabitants, used as standards for the minimum public retail supply in Russia, need to be replaced due to the market development of trade. To test the hypothesis, the papers by authoritative authors on similar issues were studied, which revealed the use of population indicators based on the number of enterprises as a standard in countries with developed markets. A study of the current methodology for standardizing indicators in Russia was also conducted, which showed its insufficient academic rationalizing. According to the results of the study, it was proposed to change the indicator of the minimum public retail supply standard and use the norm of the number of trade organizations per capita, differentiated by the forms of trade. The recommendations of this paper provide the basis for improving the current legal acts on the regulation of norming retail chains in Russia. This study may be interesting for countries with similar conditions for the development of the retail network (a sparsely populated large part of the country, inaccessibility of some settlements, low state stimulation of retail within unprofitable territories).


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