A Development of an Equilibrium Analysis Model between Electricity Retailers under Competitive Environment

There is uncertainty during analysis the stability of karst roof under pile tip. The interval numbers are used to express the calculation parameters. Secondly, the limit equilibrium analysis model of karst roof under pile tip is presented based on the present study. Thirdly, the performance function is suggested to evaluate the reliability of the stability of karst roof under pile tip. The non-probabilistic reliability analysis method for stability of karst roof under pile tip is finally founded. This method is proved to be rational and feasible by engineering case analysis.

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ACTIVATION OF TECHNOLOGIES FOR MARKETING SERVICES IN THE FINANCIAL SECTOR IN MODERN CONDITIONS

Scientific Journal ECONOMIC SYSTEMS ◽

10.29030/2309-2076-2021-14-1-89-95 ◽

2021 ◽

Vol 14 (1) ◽

pp. 89-95

Author(s):

Inga Mikhailovna Sinyaeva ◽

Keyword(s):

Success Factors ◽

Financial Sector ◽

Competitive Environment ◽

Analysis Model ◽

Market Environment ◽

Environment Factors ◽

Theoretical Contribution ◽

Financial Organization ◽

Health And Nutrition ◽

Current Trends

In this article, the author reveals the need to activate marketing technologies of market participation in practice in the context of the COVID-19 pandemic. The author quite fully reveals the specifics and content of financial sector services, highlighting current trends and patterns. At the same time, the theoretical contribution of domestic and foreign authors is noted. With the illustration of Figure 1, the author notes that due to COVID-19, many industries have sharply reduced traffic by 40 percent or more, but in the finance, health and nutrition sectors, on the contrary, there has been an increase in traffic from 10 to 30 percent. The scientific novelty lies in the author’s recommendations on the activation of marketing technologies for a comprehensive assessment of: market environment factors (EFAS-analysis model) and the competitive environment (the polygon of success factors and risks of a financial organization).

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Developing an Equilibrium Analysis Model of Cartel Game under Leniency Programs

Journal of Society of Korea Industrial and Systems Engineering ◽

10.11627/jkise.2013.36.4.77 ◽

2013 ◽

Vol 36 (4) ◽

pp. 77-83

Author(s):

Jihyun Park ◽

◽

Suneung Ahn

Keyword(s):

Equilibrium Analysis ◽

Analysis Model ◽

Leniency Programs

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A cost effective decision analysis model comparing two strategies for maintaining hepalitis B immunity in hemodialysis patients

Gastroenterology ◽

10.1016/s0016-5085(01)82763-3 ◽

2001 ◽

Vol 120 (5) ◽

pp. A556-A556

Author(s):

S WESTON ◽

S SAAB ◽

D LY ◽

M BREZINA ◽

H YEE ◽

...

Keyword(s):

Decision Analysis ◽

Cost Effective ◽

Hemodialysis Patients ◽

Decision Analysis Model ◽

Analysis Model ◽

Effective Decision

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An Input–Process–Output Model of Pilot Core Competencies

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000120 ◽

2017 ◽

Vol 7 (2) ◽

pp. 78-85 ◽

Cited By ~ 5

Author(s):

Heikki Mansikka ◽

Don Harris ◽

Kai Virtanen

Keyword(s):

Path Analysis ◽

Team Performance ◽

Core Competencies ◽

Core Competency ◽

Principal Component ◽

Analysis Model ◽

Input Process ◽

The Core ◽

Performance Framework ◽

Process Output

Abstract. The aim of this study was to investigate the relationship between the flight-related core competencies for professional airline pilots and to structuralize them as components in a team performance framework. To achieve this, the core competency scores from a total of 2,560 OPC (Operator Proficiency Check) missions were analyzed. A principal component analysis (PCA) of pilots’ performance scores across the different competencies was conducted. Four principal components were extracted and a path analysis model was constructed on the basis of these factors. The path analysis utilizing the core competencies extracted adopted an input–process–output’ (IPO) model of team performance related directly to the activities on the flight deck. The results of the PCA and the path analysis strongly supported the proposed IPO model.

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Is That Measure Really One-Dimensional?

Methodology ◽

10.1027/1614-2241/a000158 ◽

2018 ◽

Vol 14 (4) ◽

pp. 188-196 ◽

Cited By ~ 5

Author(s):

Esther T. Beierl ◽

Markus Bühner ◽

Moritz Heene

Keyword(s):

Model Fit ◽

Nuisance Parameters ◽

Factorial Validity ◽

Fit Indices ◽

Analysis Model ◽

Factor Analysis Model ◽

One Dimensional ◽

Confirmatory Factor Analysis Model ◽

Cutoff Values ◽

Confirmatory Factor

Abstract. Factorial validity is often assessed using confirmatory factor analysis. Model fit is commonly evaluated using the cutoff values for the fit indices proposed by Hu and Bentler (1999) . There is a body of research showing that those cutoff values cannot be generalized. Model fit does not only depend on the severity of misspecification, but also on nuisance parameters, which are independent of the misspecification. Using a simulation study, we demonstrate their influence on measures of model fit. We specified a severe misspecification, omitting a second factor, which signifies factorial invalidity. Measures of model fit showed only small misfit because nuisance parameters, magnitude of factor loadings and a balanced/imbalanced number of indicators per factor, also influenced the degree of misfit. Drawing from our results, we discuss challenges in the assessment of factorial validity.

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