scholarly journals An attempt to unified approach to the evolution of products in the entertainment industry

E-methodology ◽  
2020 ◽  
Vol 6 (6) ◽  
pp. 80-93
Author(s):  
ANDRZEJ BUDA ◽  
ANDRZEJ JARYNOWSKI ◽  
KATARZYNA KUŹMICZ
Keyword(s):  
Time Series ◽  
Temporal Dynamics ◽  
Life Cycles ◽  
Creative Industries ◽  
Point Of View ◽  
Entertainment Industry ◽  
Accurate Data ◽  
Unified Approach ◽  
Statistical Point ◽  
The Impact

Aim. We analyze temporal dynamics of entertainment industry including literature,music, fi lms and video games, introducing possible analogies between them. We providea framework for further explanation based on the economic concepts as revenue, organizationstructure and marketing goals in these creative industries for different technologicaleras.Methods. Initially, accurate data collected for time series of weekly record sales areanalyzed from statistical point of view (e.g. networks of artists, record labels and producers).This method may be extended to other parts of entertainment industry in search ofanalogies, under the infl uence of technological revolutions.Results. We provide the statistical properties of the mass art entertainment industry(including value of the markets, seasonality, products life-cycles) and interactions betweenvarious kinds of entertainment (e.g. fi lms might be infl uenced by literature with a delay).We are able to distinguish predigital, digital and postdigital eras.Conclusions. There are many ways of describing and measuring the impact of selectedentertainment industries with the most important as literature, music, fi lms and videogames. However, universal analogies may explain objective properties of entertainmentindustry in general.

scholarly journals Comparative analysis of the stock quotes dynamics for IT-sector and the entertainment industry companies based on the characteristics of memory depth

2021 ◽  
Vol 107 ◽  
pp. 01003
Author(s):  
Nataliia Maksyshko ◽  
Oksana Vasylieva
Keyword(s):  
Time Series ◽  
Comparative Analysis ◽  
Rapid Development ◽  
Entertainment Industry ◽  
Long Term Memory ◽  
Range Analysis ◽  
Goods And Services ◽  
Rescaled Range Analysis ◽  
Persistence Property ◽  
The Impact

The article is devoted to the study and comparative analysis of the stock quotes dynamics for the world’s leading companies in the IT sector and the entertainment industry. Today, these areas are developing the fastest and most powerful, which attracts the attention of investors around the world. This is due to the rapid development of digital communication technologies, the growth of intellectualization and individualization of goods and services, and so on. These spheres have strong development potential, but the question to how their companies’ stock quotes respond to the impact of such a natural but crisis phenomenon as the COVID-19 pandemic remains open. Based on the nonlinear paradigm of the financial markets dynamics, the paper considers and conducts a comprehensive fractal analysis of the quotations dynamics for six leading companies (Apple Inc., Tesla Inc., Alphabet Inc., The Walt Disney Company, Sony Corporation, Netflix) in this area before and during the COVID-19 pandemic. As a result of the application of the rescaled range analysis (R/S analysis), the presence of the persistence property and long-term memory in the stock quotes dynamics for all companies and its absence in their time series of profitability was confirmed. The application of the method of sequential R/S analysis made it possible to construct fuzzy sets of memory depths for the considered time series and to deepen the analysis of the dynamics due to the quantitative characteristics calculated on their basis. Taking into account the characteristics of memory depth in the dynamics of quotations made it possible to conduct a comparative analysis of the dynamics, both under the influence of the natural crisis situation and in terms of investing in different terms. The peculiarities of the delayed profitability dynamics of quotations for each of the companies are also taken into consideration and compared. The developed recommendations can be used in investment activities in the stock market.

scholarly journals Impact of Component Dispersion in DC to DC Low-Power Low-Voltage Power Converter Array

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 917
Author(s):  
Jean-Christophe CREBIER ◽  
Theo LAMORELLE ◽  
Silvain MARACHE ◽  
Thanh Hai PHUNG ◽  
Van-Sang NGUYEN ◽  
...  
Keyword(s):  
Closed Loop ◽  
Low Voltage ◽  
Power Converter ◽  
Point Of View ◽  
Statistical Point ◽  
Loop Control ◽  
In Series ◽  
And Performance ◽  
Set Up ◽  
The Impact

The paper deals with arrays of numerous power conversion cells, associated in series and/or in parallel to build larger step up or step down direct current (DC)/DC isolated converters. The work focuses on the impact of the spread and distribution of the conversion cell characteristics on the characteristics and performance of the power converter array (PCA). Based on a characterization protocol, about 130 conversion standard cells (CSC) are characterized and classified from a statistical point of view. Three families are defined and representatives are chosen and implemented in various configurations, in open and closed loop control, to analyze the impact of their spread characteristic over the global converter, the PCA. The paper is based on an extended practical set up and protocols, all described in details. Guidelines on CSCs implementation with respect to their dispersion are provided at the end on the paper.

scholarly journals The Gender Issue in Entrepreneurship Activity: the Current Perception of Entrepreneurs

2020 ◽  
pp. 42-52
Author(s):  
A. Kharlamova ◽  
A. Stavytskyy
Keyword(s):  
New Technologies ◽  
Developed Countries ◽  
Creative Industries ◽  
Point Of View ◽  
Entrepreneurial Activity ◽  
Econometric Methods ◽  
Entrepreneurial Activities ◽  
Maximum Similarity ◽  
The Impact ◽  
Gem Data

Today, the issue of gender and equal opportunities for women and men is raised more and more often. That is despite the fact that in developed countries there are very massive feminization trends. Нowever, the development of new technologies, the transition to online life brings gender issues to the fore in the context of new geoeconomic challenges, such as the development of creative industries, digitalization, rising unemployment, growing social and economic inequality. Looking to the future is impossible without understanding the impact of the past. This paper examines three countries, principle economic partners of Ukraine, which had a socialist past, although formed in different socio-cultural vectors, and those that show different rates of development and use different economic models. The working hypothesisis as follows: whether gender entrepreneurship differs in these countries. The database is taken from the Global Entrepreneurship Monitoring (GEM) and investigated using statistical and econometric methods. The results showed that with the maximum similarity of perceptions of entrepreneurs in analyzed countries, the gender difference still exists in the direction of greater entrepreneurial activity of women in the country, which shows higher economic performance today. It should be noted that the main problem and limitation of this study is the source of data, which is based on monitoring, which does not cover all countries of the world, so in particular it does not contain data on Ukraine. In addition, from the point of view of the input data collected by GEM, we have almost equal proportions of surveyed men and women, both in general and those engaged in entrepreneurial activities. But this is not fully representative. Because demographic composition in these countries differs. It is also worth noting that the GEM data is a survey conducted by a trusted institution in the country, which is not fully representative for cross-country comparison.

scholarly journals Improving the performance of organizational innovation processes by applying the Six Sigma methodology

2020 ◽  
Vol 14 (1) ◽  
pp. 1098-1108
Author(s):  
Ana Maria Ifrim ◽  
Gabriela Elena Biţan ◽  
Dorin Maier ◽  
Teodora Elena Fogoroş
Keyword(s):  
Six Sigma ◽  
Impact Analysis ◽  
Organizational Innovation ◽  
Positive Impact ◽  
Innovation Management ◽  
Point Of View ◽  
Statistical Point ◽  
Six Sigma Methodology ◽  
The Impact ◽  
Innovation Processes

AbstractThe purpose of this paper is to integrate the concept of innovation management with the Six Sigma methodology, focusing on the impact analysis of the quality management principles on the organizational innovation processes. To achieve this objective, the DMAIC methodology was used – define (D), measure (M), analyze (A), improve (I) and control (C). Based on this methodology by introducing innovation in the improvement phase of the DMAIC model, we developed the model called DMAIC - IM (DMAIC - Innovation Management model). A case study related to the implementation of the DMAIC-IM Model was carried out within a company that produces and sells products for the automotive industry. Thus, the performances of the processes were measured, the obtained values were compared with the ideal values from a statistical point of view and the methods for eliminating the variations were identified. Also, the critical factors of the innovation success of organizations were analyzed resulting ways to remove the obstacles that lead to this success. According to the research results, the application of the Six Sigma methodology has a positive impact on the performance of the organizational innovation processes. The proposed solution has a set of indicators and can help organizations to improve their system of evaluating the innovation processes performances.

scholarly journals Geomorphometric characterisation of natural and anthropogenic land covers

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Wenfang Cao ◽  
Giulia Sofia ◽  
Paolo Tarolli
Keyword(s):  
Anthropogenic Activities ◽  
Global Environmental Change ◽  
Point Of View ◽  
Small Scale ◽  
Human Environment ◽  
Statistical Point ◽  
Digital Terrain ◽  
Natural Land ◽  
Land Covers ◽  
The Impact

AbstractThe scientific community has widely discussed the role of abiotic and biotic forces in reshaping the Earth’s surface. Currently, the literature is debating whether humans are leaving a topographic signature on the landscape. Apart from the influence of humans on processes, does the resulting landscape bear an unmistakable signature of anthropogenic activities? This research analyses from a statistical point of view the morphological signature of anthropogenic and natural land covers in different topographic context, as a fundamental challenge in the emerging debate of human-environment relationships and the modelling of global environmental change. It aims to explore how intrinsically small-scale processes, related to land use, can influence the form of entire landscapes and to determine whether these processes create a distinctive topography. The work focusses on four study areas in floodplains, plain to hilly, hills and mountains, for which LiDAR-derived Digital Terrain Models (DTMs) are available. Surface morphology is described with different geomorphometric parameters (slope, mean curvature and surface peak curvature) and their frequency distribution. The results show that the distribution of geomorphometric indices can reveal anthropogenic land covers and landscapes. In most cases, different land covers show statistically significant differences (p < 0.05) in their morphology. Finally, this study demonstrates the possibility to use a geomorphic analysis to quantify anthropogenic impact based on land covers in different landscape contexts. This provides useful insight into understanding the impact of human activities on the present morphology and offers a comprehensive understanding of coupling human-land interaction from a geomorphological point of view.

scholarly journals The Spatial Perspective in Post-Earthquake Evaluation to Improve Mitigation Strategies: Geostatistical Analysis of the Seismic Damage Applied to a Real Case Study

2019 ◽  
Vol 9 (15) ◽  
pp. 3182 ◽  
Author(s):  
Salvador García-Ayllón ◽  
Antonio Tomás ◽  
José Luis Ródenas
Keyword(s):  
Earthquake Engineering ◽  
Point Of View ◽  
Mitigation Strategies ◽  
Statistical Point ◽  
The Real Estate ◽  
The Impact ◽  
The City ◽  
Different Levels ◽  
New Framework

The analysis of damage in cities after an earthquake to implement mitigation strategies of seismic risk is a complex job that is usually full of uncertainties. Numerous variables affect the final result of the observable damage in a set of buildings in an urban area. The use of methodologies capable of providing global explanations beyond the traditional unidisciplinary approach of disciplines, such as structural analysis, earthquake engineering, geotechnics, or seismology, can be very useful for improving the behavior of our cities against earthquakes. This article presents geostatistical post-earthquake analysis, an innovative approach in this field of research based on GIS spatial statistical tools to evaluate the importance of the different variables after an earthquake that may have caused damage in a city. This new framework will be applied to analyze, from a geostatistical perspective, the damage levels observed in the city of Lorca (Spain) after the earthquake of 2011; a case study where various studies have proposed different measures to mitigate the impact of future earthquakes as a consequence of focusing on different phenomena as the main variable for the damage produced. A bivariate GIS assessment will allow spatial correlation of the problems detected from a statistical point of view (inadequate design of buildings, age of the real estate stock, inefficient urban planning configurations, geological risk, etc.) and the different levels of damage that the technicians who participated in the post-earthquake phase evaluated in the city. The results obtained will allow one to hierarchize the importance of the different detected phenomena to prepare the city better against future earthquakes and to elaborate an improved seismic mitigation strategy.

Using FMI Transaction Data in Simulations

2016 ◽  
pp. 102-123
Author(s):  
Richard Heuver ◽  
Ronald Heijmans
Keyword(s):  
Time Series ◽  
Scenario Analysis ◽  
Statistical Problem ◽  
Point Of View ◽  
Data Sets ◽  
Insufficient Data ◽  
Data Set ◽  
Statistical Point ◽  
Transaction Data ◽  
Long Time

In this chapter the authors provide a method to aggregate large value payment system transaction data for executing simulations with the Bank of Finland payment simulator. When transaction data sets get large, simulation may become too time consuming in terms of computer power. Therefore, insufficient data from a statistical point of view can be processed. The method described in this chapter provides a solution to this statistical problem. In order to work around this problem the authors provide a method to aggregate transaction data set in such a way that it does not compromise the outcome of the simulation significantly. Depending on the type of simulations only a few business days or up to a year of data is required. In case of stress scenario analysis, in which e.g. liquidity position of banks deteriorates, long time series are preferred as business days can differ substantially. As an example this chapter shows that aggregating all low value transactions in the Dutch part of TARGET2 will not lead to a significantly different simulation outcome.

scholarly journals Conceptual Model of Sustainable Development Management Process

2021 ◽  
Vol 12 (2) ◽  
pp. 068-084
Author(s):  
Roman M. Kachalov ◽  
◽  
Yuliya A. Sleptsova ◽  
Keyword(s):  
Sustainable Development ◽  
Control Object ◽  
Production Equipment ◽  
Life Cycles ◽  
Point Of View ◽  
Maximum Effect ◽  
The Sustainable Development ◽  
Managerial Decisions ◽  
The Impact ◽  
Level Of Risk

The purpose of this paper is to develop a concept for managing the level of risk of disrupting the sustainable development of the enterprise. The research methodology is based on the system economic theory and the operational theory of risk management. A methodology is proposed for the study of the development and implementation of management decisions in the managerial subsystem, taking into account the identified risks of sustainable development of the enterprise at the intentional, expectational, cognitive and functional stages. Within the framework of these stages, the processes of goal setting, information collection, assessment of the existing environment and forecasting of changes in the enterprise, as well as the processes of implementing decisions are carried out. To shed light on the processes of identifying risk factors and developing appropriate anti-risk managerial impacts depend on the localization in the control object. When decomposing a control object, four types of localization are distinguished: an object subsystem, a process subsystem, a project subsystem, and an environmental subsystem. The implementation of managerial decisions, from the point of view of the object subsystem, can be limited by the high cost of the main production equipment and long life cycles of the finished product. When implementing the developed managerial solutions, there may be a redistribution of profit centers or a change in the way it is generated, which will lead to a change in the characteristics of the enterprise's process subsystem. In the project subsystem, an enterprise can achieve maximum effect by focusing its efforts on the introduction of innovative technologies. The speed of changes in the external environment of the enterprise becomes very high, so the role of forecasting the impact of these changes on the environmental subsystem of the enterprise increases, and applying this knowledge to develop managerial impact, on the one hand, and to adapt the enterprise to these changes, on the other. It is shown that by regulating and eliminating the imbalance in the preparation of managerial impacts, it is possible to reduce the level of risk in the implementation of such decisions.

scholarly journals IMPACT OF TRANSFER PRICING ON FOREIGN DIRECT INVESTMENT IN ROMANIA

2021 ◽  
Vol 14(63) (2) ◽  
pp. 141-150
Author(s):  
Ileana Tache ◽  
◽  
Mihaela Paraschiva Luca ◽  
Keyword(s):  
Foreign Direct Investment ◽  
Linear Regression ◽  
Least Squares ◽  
Direct Investment ◽  
Least Squares Method ◽  
Transfer Pricing ◽  
Point Of View ◽  
Simple Linear Regression ◽  
Statistical Point ◽  
The Impact

The purpose of the study presented in this paper is to analyse the impact of transfer pricing on foreign direct investment (FDI) in Romania. For attaining this goal, we performed a simple linear regression by the least squares method to study the impact of adjustments of tax obligations in the field of transfer pricing on foreign direct investment in the period 2011-2019.We have proved, from a statistical point of view, that there is a relationship between foreign direct investment and adjustments to tax liabilities resulting from transfer pricing

scholarly journals Prediksi Penambahan Kasus Covid-19 di Indonesia Melalui Pendekatan Time Series Menggunakan Metode Exponential Smoothing

2021 ◽  
Vol 6 (1) ◽  
pp. 112
Author(s):  
Calvin Mikhailouzna Gibran ◽  
Sulis Setiyawati ◽  
Febri Liantoni
Keyword(s):  
Time Series ◽  
Exponential Smoothing ◽  
Percentage Increase ◽  
Prediction System ◽  
Accurate Data ◽  
Time Series Approach ◽  
The Government ◽  
The Right ◽  
Exponential Smoothing Method ◽  
The Impact

The Covid-19 pandemic in Indonesia has emerged starting in 2020. To know the development of cases, a good calculation is needed. A prediction system can help in analyzing accurate data on positive causes, cures, and deaths. The right prediction or forecast can be the answer to the question of the impact that will occur, forecasting will provide an overview to the government and the community so that it is hoped that related parties can prepare for future impacts or even reduce the number of cases growth. In this study, the Exponential Smoothing method was used as a prediction calculation. This method is simple but effective in producing accurate predictions. Forecasting data used comes from the Indonesian government with the assumption that the data is valid and reliable. Based on research that has been carried out to predict the increase in new cases of the Indonesian National Covid-19, the best alpha (α) value is 0.33 with an SSE of 1048027,939. This shows that the number of cases is increasing. The results of forecasting in this study using the time series approach and the SES method are more suitable for predicting the percentage increase in cases than knowing the exact number.

Sign in / Sign up

Export Citation Format

Share Document