Factors Determining the Development of Small Enterprises

Kamińska, A.; Parkitna, Agnieszka; Górski, A.

doi:10.1007/978-3-319-67223-6_19

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…The result of the use of Query 1 in the Scopus database is the most cited scientific article, which describes a hybrid model between linear and nonlinear time series forecasting models proposed by Babu and Reddy [21]. This paper explores the linear autoregressive Integrated Moving Average (ARIMA) [71] and nonlinear Artificial Neural Network (ANN) models to develop a new hybrid ARIMA-ANN model for the prediction of time series data [72].…”

Section: Overview Of the Most Cited And Most Accurate Publications Of...mentioning

confidence: 99%

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Models of Electricity Price Forecasting: Bibliometric Research

Zema

Sulich

2022

Energies

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Electricity Price Forecasting (EPF) influences the sale conditions in the energy sector. Proper models of electricity price prognosis can be decisive for choice between energy sources as a start point of transformation toward renewable energy sources. This article aims to present and compare various EPF models scientific publications. Adopted in this study procedure, the EPF publications models are compared into two main categories: the most popular and the most accurate. The adopted method is a bibliometric study as a variation of Systematic Literature Review (SLR) with specified automated queries supported by the VOSviewer bibliometric maps exploration. The subject of this research is the exploration of EPF models in two databases, Web of Science and Scopus, and their content comparison. As a result, the SLR research queries were classified into two groups, the most cited and most accurate models. Queries characteristics were explained, along with the graphical presentation of the results. Future promising research avenues can be dedicated to the most accurate EPF model formulation proved by statistical testing of its significance and accuracy.

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Section: Overview Of the Most Cited And Most Accurate Publications Of...mentioning

confidence: 99%

“…The EPF in the energy sector influences energy companies' stocks [8] and their business management [21,22] and strategic decisions [19,23], because electricity is also traded under market rules [15,21]. The energy sector companies generate, transfer, distribute, and retail electricity [19].…”

Section: Introductionmentioning

confidence: 99%

Models of Electricity Price Forecasting: Bibliometric Research

Zema

Sulich

2022

Energies

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“…However, too detailed data has a negative influence too. It results in increasing the time of modeling as well as the costs and clarity of the model (Taylor et al, 2009;Kamińska, Parkitna, Górski, 2018). Thus, collecting data should be done by an experienced researcher who has the knowledge about simulation modeling and the software that is used.…”

Section: Input Datamentioning

confidence: 99%

Management and Production Engineering Review

Burduk

Łapczyńska²,

Popiel³

2021

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The paper deals with the problem of production material flow management. The proper way of logistic tasks management has an impact on the production process effectiveness and the cycle time, which is a very important factor in manufacturing. Reducing the production process cycle time results not only in the ability to provide more customers with orders but also in increasing the level of resources usage (machines, operators etc.). In order to reach the aim of improving production effectiveness, the simulation modeling was used. It is a computer method that supports a decision-making process and allows to perform experiments on production without interfering with the real process. The paper also includes a risk analysis performed to evaluate the imperfections of simulation modeling, based on the rules of fuzzy logic.

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“…Lze sice v pracovní smlouvě zavázat zaměstnance k zákazu výkonu veškeré jiné výdělečné činnosti, avšak evidentně se tento institut příliš v praxi nevyužívá. Zdroj: [3] Start up firmy jsou klíčovými přispěvateli dynamiky inovací a růstu hospodářství nejen v EU, ale i na celém světe [5], [6], [7]. Avšak mnoho mladých podniků selhává ve svých prvních letech.…”

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Specifika Malého Podnikání v České Republice

Frkova¹

2016

BIT

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Abstrakt -CZMalé podnikání v Česku vykazuje odlišnosti oproti "standardu" v zemích EU. Je zde velká "hustota" podnikatelských subjektů v přepočtu na obyvatele, mikropodnikatelé se vyznačují velkou neochotou zaměstnávat zaměstnance a nezvykle velké procento podnikatelů podniká současně vedle svého zaměstnávání. Navíc, v době příznivého růstu české ekonomiky, malé podnikání nejeví známky růstu. Pozitivní zpráva je, že v oblasti IT soukromí investoři jeví velký zájem o investice do mladých start up firem. Klíčová slova -CZMalé a střední podniky; Česká republika; Evropská unie. Abstract -ENSmall Businesses in the Czech Republic have basic differences between the "standard" in the EU countries. There is a large "density" of enterprises per capita, micro enterprises are characterized by a great unwillingness to employ staff and an unusually large percentage of micro-enterprises are simultaneously engaged in employment here. Moreover, at the time of the favorable growth of the Czech economy, small businesses ate stagnating. The positive news is that in the area of IT, private investors are very interested in investing in young startups.

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Factors Determining the Development of Small Enterprises

Cited by 4 publications

References 5 publications

Models of Electricity Price Forecasting: Bibliometric Research

Models of Electricity Price Forecasting: Bibliometric Research

Management and Production Engineering Review

Specifika Malého Podnikání v České Republice

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