scholarly journals Knowledge Intensive Business Sector in Latvian National Economy: Random Effect Factor outlook

2021 ◽  
Vol 29 (2) ◽  
pp. 36-51
Author(s):  
Gregory Olevsky ◽  
◽  
Timurs Safiulins
Keyword(s):  
Random Effects ◽  
National Economy ◽  
Random Effect ◽  
Business Environment ◽  
Global Market ◽  
General Idea ◽  
Successful Implementation ◽  
Business Sector ◽  
Factors Affecting ◽  
Knowledge Intensive

Global experience shows that sustainable economic development takes place in countries with economies focused on the creation and intensive use of knowledge. Entrepreneurs are interested in investing in knowledge, using obtained findings in the company’s development. Investment knowledge strengthens company’s market position, thus increasing the probability of successful implementation of its new products and services. Based on the general idea of tailor-made mix of content, structure, and functioning mechanism of market relations, it can be stated that knowledge is necessary for market participants in order to reach broader market share, take business advantage from innovations, increase competitiveness and uptake new markets, as well as ensure higher satisfaction regarding both goods and services for their customers. Investing in large-scale research projects enables opportunity to accumulate knowledge is a power for large corporations, which further determines their dominance in the global market. However, knowledge in terms of disruptive services is still more important among owners and managers of small and medium-sized enterprises (SMEs). The expansion of knowledge in the medium and especially in the small business environment promoted the emergence of a specific business niche known as the knowledge intensive business. The knowledge-based economy is gradually “displacing” the resource-based economy, stimulating entrepreneurs to put more focus on the use of information resources as a feature of the knowledge-intensive economy, thus pacing overall growth dynamics of segment. This article focuses on the identification and analysis of factors affecting the knowledge intensive business development business sector in Latvian national economy with random effects regression model. Random effects regression was used since it best suited for panel data. Compiled available repeated observations on the same units allowing to enrich the model by inserting an additional term in the regression, capturing individual-specific, time-invariant factors affecting the dependent variable.

scholarly journals Knowledge-Intensive Services in Slovakia from the Viewpoint of Innovation and Labour Productivity

2011 ◽  
Vol 4 (16) ◽  
pp. 571-580
Author(s):  
Dorota Lattová
Keyword(s):  
National Economy ◽  
Service Sector ◽  
Labour Productivity ◽  
Innovation Activity ◽  
Key Factors ◽  
Factors Affecting ◽  
Knowledge Intensive

Knowledge-Intensive Services in Slovakia from the Viewpoint of Innovation and Labour Productivity The article deals with current issues of innovation and labour productivity in knowledge-intensive services in Slovakia compared to less knowledge-intensive services. The aim of the article is to identify innovation activity of enterprises in selected branches of service sector as one of the key factors affecting labour productivity which influences competitiveness of individual enterprises as well as competitiveness of the national economy as a whole.

scholarly journals INCREASING THE ROLE OF COMPETITIVENESS OF THE NATIONAL ECONOMY AS A FACTOR OF ECONOMIC GROWTH IN THE CONDITIONS OF GLOBALIZATION

2021 ◽  
Author(s):  
Olena Pankratova
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Import Substitution ◽  
Global Market ◽  
Economic Life ◽  
Added Value ◽  
High Tech ◽  
Economic Sectors ◽  
Factors Affecting ◽  
The World

The article discusses the current problem related to the innovative development of our country’s economy under the influence of globalization. The transition to a higher level of economic development will increase the competitiveness of the Ukrainian economy as a factor of economic growth in the context of globalization. Sustainable economic growth of any state requires favorable conditions for business development and active intervention of innovative factors in economic life, which involves an increase in competitive advantages over other countries of the world. Therefore, the problem of competitiveness of Ukraine's economy is extremely relevant in the context of globalization. Key approaches to assessing the competitiveness of the national economy in the current environment are also being considered. A system of indicators of competitiveness of the national economy is being formed, as well as the factors influencing it. The article defines the essence of the concept of competitiveness of the national economy as a factor of economic growth in the context of the integration of the world economic space and the formation of a global market. Among the main methods that were used in the process of analytical research, the following should be highlighted: analysis and comparison – to determine the concept of competitiveness and the factors affecting it. Methods – for processing statistical data when assessing the analysis of factors affecting competitiveness; strategic analysis – identifying Ukraine's place in the world ranking. To strengthen and increase the competitiveness of the national economy in the context of globalization, further modernization and diversification of industry is required by transferring it to a qualitatively new level, aimed at the advanced development of high-tech processing industries, primarily in the production of finished products (production of dietary supplements and organic food) with high added value based on deep processing of raw materials; continuation of the policy of stimulating the localization of production and import substitution, primarily of consumer goods and components, expansion of inter-industry industrial cooperation; liberalization and simplification of export activities, diversification of the structure and geography of exports, expansion and mobilization of the export potential of economic sectors.

scholarly journals Impact of global changes in the business environment in relation to risk management

2021 ◽  
Vol 92 ◽  
pp. 03004
Author(s):  
Katarína Buganová ◽  
Jana Šimíčková ◽  
Michal Brutovský
Keyword(s):  
Risk Management ◽  
Value Added ◽  
Business Environment ◽  
Global Market ◽  
Point Of View ◽  
Entrepreneurial Activity ◽  
Global Changes ◽  
Successful Implementation ◽  
Global Business ◽  
Huge Impact

Research background: Entrepreneurial activity is largely affected by negative changes in the global business environment, as evidenced by the huge impact of the COVID 19 pandemic on the entrepreneurial activity of Slovak enterprises. It is here that the importance of proactive risk management is reaffirmed, which should be an integral part of the enterprise’s management and thus preventively assess possible risks and their consequences and be prepared to manage them and not just respond to a crisis situation. Purpose of the article: The purpose of the article is to point out the importance of risk management in business and project management in connection with the globalization of the business environment. Assess the readiness of Slovak enterprises to ensure the continuity of business activities in connection with negative changes in the business environment such as the COVID 19 pandemic. Methods: The article will be processed using basic scientific methods. The qualitative and quantitative aspects of the researched problem, comparison and generalization of conclusions will be processed through observation, analysis, comparison and synthesis, including several managerial methods for risk assessment and management. Findings & Value added: Successful implementation of risk management in the enterprise and within the project activities from the point of view of prevention of crisis situations in the enterprise caused by interruption of operation as well as premature termination of projects is a means to maintain continuity and competitiveness of business activities and achieve project goals in the global market.

PENGARUH DUKUNGAN MANAJEMEN PUNCAK, MANAJEMEN PROYEK DAN KETERLIBATAN PENGGUNA TERHADAP TINGKAT KESUKSESAN IMPLEMENTASI ENTERPRISE RESOURCE PLANNING PADA PERUSAHAAN DI JABODETABEK

2017 ◽  
Vol 2 (2) ◽  
pp. 147-154
Author(s):  
Julian Aristo
Keyword(s):  
Project Management ◽  
Enterprise Resource Planning ◽  
User Involvement ◽  
Resource Planning ◽  
Business Environment ◽  
Top Management ◽  
Management Support ◽  
Erp Systems ◽  
Factors Affecting ◽  
Top Management Support

Enterprise Resource Planning (ERP) systems have become vital strategic tools in today’s competitive business environment. Implementation of ERP systems is a highly complex process which is influenced not only by technical, but also by other factors. The purpose of this research to find out factors influencing the success of ERP implementations in companies in Jabodetabek. In this research three factors of success implementation ERP were selected on the bases of previous research that includes top management support, project management and user involvement. The results indicate that top management support and project management are key factors affecting the success of ERP implementations, while user involvement does not affect the success of ERP implementations. Top management support, project management and user involvement affect the success rate of 72.7% of ERP implementations. While the rest equal to 27.3% influenced by other variables not included in this research model. Keywords: Enterprise Resource Planning, Top management support, project management, user involvement

Consumer Online Buying Decisions: A Critical Appraisal of Literature

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Amit Kishore Sinha ◽  
Gyanendra B. S. Johri ◽  
Shanti Rai
Keyword(s):  
Research Paper ◽  
Business Environment ◽  
Buying Behavior ◽  
Related Factors ◽  
Factors Affecting ◽  
Goods And Services ◽  
Online Stores ◽  
Online Buying ◽  
Indian Cities ◽  
Buying Decisions

Since last two decades buying of goods and services from online stores using Internet started off. But players of this industry could reach to the general public residing in second and third category Indian cities in recent past only. Now companies are eagerly interested in understanding the factors affecting Indian consumers so that their needs and wants can be understood and served profitably. This research paper is an attempt to critically evaluate those factors which affect consumer buying behavior in Indian Internet based business environment. For the purpose of coverage of topic researcher has classified the literature under three categories which are Literature related to vendor related factors, Literature related to consumer related factors and Literature related to other factors. Vendor related factors include those factors which are primarily controlled by the companies that are engaged in selling their goods and services on internet along with their intermediaries through which such sales take place. Consumer related factors have been bifurcated under two heading that are consumer demographic factors and consumer psychographic factors. Besides this there are several other factors which may affect consumer’s buying decisions and they are classified as other factors. This research paper also tries to identify the gaps (if any) in the available literature of the factors affecting consumer online buying decisions.

scholarly journals A random effects population dynamics model based on proportions-at-age and removal data for estimating total mortality

2012 ◽  
Vol 69 (11) ◽  
pp. 1881-1893 ◽  
Author(s):  
Verena M. Trenkel ◽  
Mark V. Bravington ◽  
Pascal Lorance
Keyword(s):  
Population Dynamics ◽  
Random Effects ◽  
Fixed Effects ◽  
Random Effect ◽  
Total Mortality ◽  
Estimation Bias ◽  
Effective Sample Size ◽  
Dynamics Model ◽  
Population Dynamics Model ◽  
Study Parameter

Catch curves are widely used to estimate total mortality for exploited marine populations. The usual population dynamics model assumes constant recruitment across years and constant total mortality. We extend this to include annual recruitment and annual total mortality. Recruitment is treated as an uncorrelated random effect, while total mortality is modelled by a random walk. Data requirements are minimal as only proportions-at-age and total catches are needed. We obtain the effective sample size for aggregated proportion-at-age data based on fitting Dirichlet-multinomial distributions to the raw sampling data. Parameter estimation is carried out by approximate likelihood. We use simulations to study parameter estimability and estimation bias of four model versions, including models treating mortality as fixed effects and misspecified models. All model versions were, in general, estimable, though for certain parameter values or replicate runs they were not. Relative estimation bias of final year total mortalities and depletion rates were lower for the proposed random effects model compared with the fixed effects version for total mortality. The model is demonstrated for the case of blue ling (Molva dypterygia) to the west of the British Isles for the period 1988 to 2011.

scholarly journals Dyslipidaemia and mortality in COVID-19 patients - a meta-analysis

QJM ◽  
2021 ◽  
Author(s):  
Marco Zuin ◽  
Gianluca Rigatelli ◽  
Claudio Bilato ◽  
Carlo Cervellati ◽  
Giovanni Zuliani ◽  
...  
Keyword(s):  
Random Effects ◽  
Mortality Risk ◽  
Meta Analysis ◽  
Random Effect ◽  
Final Analysis ◽  
Short Term ◽  
Random Effects Models ◽  
Pooled Prevalence ◽  
Statistical Heterogeneity ◽  
Trim And Fill

Abstract Objective The prevalence and prognostic implications of pre-existing dyslipidaemia in patients infected by the SARS-CoV-2 remain unclear. To perform a systematic review and meta-analysis of prevalence and mortality risk in COVID-19 patients with pre-existing dyslipidaemia. Methods Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed in abstracting data and assessing validity. We searched MEDLINE and Scopus to locate all the articles published up to January 31, 2021, reporting data on dyslipidaemia among COVID-19 survivors and non-survivors. The pooled prevalence of dyslipidaemia was calculated using a random effects model and presenting the related 95% confidence interval (CI), while the mortality risk was estimated using the Mantel-Haenszel random effects models with odds ratio (OR) and related 95% CI. Statistical heterogeneity was measured using the Higgins I2 statistic. Results Eighteen studies, enrolling 74.132 COVID-19 patients [mean age 70.6 years], met the inclusion criteria and were included in the final analysis. The pooled prevalence of dyslipidaemia was 17.5% of cases (95% CI: 12.3-24.3%, p < 0.0001), with high heterogeneity (I2=98.7%). Pre-existing dyslipidaemia was significantly associated with higher risk of short-term death (OR: 1.69, 95% CI: 1.19-2.41, p = 0.003), with high heterogeneity (I2=88.7%). Due to publication bias, according to the Trim-and-Fill method, the corrected random-effect ORs resulted 1.61, 95% CI 1.13-2.28, p < 0.0001 (one studies trimmed). Conclusions Dyslipidaemia represents a major comorbidity in about 18% of COVID-19 patients but it is associated with a 60% increase of short-term mortality risk.

scholarly journals The generalizability crisis

2020 ◽  
pp. 1-37
Author(s):  
Tal Yarkoni
Keyword(s):  
Quantitative Analysis ◽  
Statistical Inference ◽  
Random Effects ◽  
False Positive ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Random Effect ◽  
Statistical Procedures ◽  
Subject Variability ◽  
Replication Crisis

Abstract Most theories and hypotheses in psychology are verbal in nature, yet their evaluation overwhelmingly relies on inferential statistical procedures. The validity of the move from qualitative to quantitative analysis depends on the verbal and statistical expressions of a hypothesis being closely aligned—that is, that the two must refer to roughly the same set of hypothetical observations. Here I argue that many applications of statistical inference in psychology fail to meet this basic condition. Focusing on the most widely used class of model in psychology—the linear mixed model—I explore the consequences of failing to statistically operationalize verbal hypotheses in a way that respects researchers' actual generalization intentions. I demonstrate that whereas the "random effect" formalism is used pervasively in psychology to model inter-subject variability, few researchers accord the same treatment to other variables they clearly intend to generalize over (e.g., stimuli, tasks, or research sites). The under-specification of random effects imposes far stronger constraints on the generalizability of results than most researchers appreciate. Ignoring these constraints can dramatically inflate false positive rates, and often leads researchers to draw sweeping verbal generalizations that lack a meaningful connection to the statistical quantities they are putatively based on. I argue that failure to take the alignment between verbal and statistical expressions seriously lies at the heart of many of psychology's ongoing problems (e.g., the replication crisis), and conclude with a discussion of several potential avenues for improvement.

scholarly journals Optimize Design of Run-Flat Tires by Simulation and Experimental Research

Materials ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 474
Author(s):  
Huaqiao Liu ◽  
Yiren Pan ◽  
Huiguang Bian ◽  
Chuansheng Wang
Keyword(s):  
Stress Distribution ◽  
Energy Loss ◽  
Successful Implementation ◽  
Performance Tests ◽  
Key Factors ◽  
Heat Accumulation ◽  
Factors Affecting ◽  
Structural Rigidity ◽  
Key Factor ◽  
Durability Testing

In this study, the two key factors affecting the thermal performance of the insert rubber and stress distribution on the tire sidewall were analyzed extensively through various performance tests and simulations to promote the development of run-flat tires. Four compounds and two structures of insert rubber were designed to investigate the effects of heat accumulation and stress distribution on durability testing at zero pressure. It was concluded that the rigidity and tensile strength of the compound were negatively correlated with temperature. The deformation was a key factor that affects energy loss, which could not be judged solely by the loss factor. The stress distribution, however, should be considered in order to avoid early damage of the tire caused by stress concentration. On the whole, the careful balance of mechanical strength, energy loss, and structural rigidity was the key to the optimal development of run-flat tires. More importantly, the successful implementation of the simulations in the study provided important and useful guidance for run-flat tire development.

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