The Factors of Influence in the Export Decision of Algerian Manufacturing SMEs

2019 ◽  
pp. 130-153
Author(s):  
Mohammed Kadi
Keyword(s):  
Factors Of Influence ◽  
Export Decision

THEORETICAL PRINCIPLES OF FORECASTING THE COST OF A SOFTWARE PRODUCT

2017 ◽  
Author(s):  
Pavlo Rodionov ◽  
◽  
Anna Ploskonos ◽  
Lesya Gavrutenko ◽  
◽  
...  
Keyword(s):  
Selection Process ◽  
Individual Characteristics ◽  
Successful Implementation ◽  
Software Products ◽  
Software Product ◽  
Continue Research ◽  
Cocomo Model ◽  
Factors Of Influence ◽  
The Individual ◽  
The Cost

The paper analyzes the factors that affect the amount of effort required to create a mobile application and its cost. It is established that the main factors of influence are the design of the application, its functionality, the type of mobile platform, the availability and level of testing and support, as well as the individual characteristics of the developer. Based on the analysis of information sources, the main methods and approaches to forecasting the cost of software products are identified, which include the COCOMO model, Price-to-win method, expert evaluation, algorithmic methods and the method of analogies. It is proposed to consider the method of analogies as a tool that allows you to make predictions about the cost of resources required for the successful implementation of IT projects based on the experience of similar projects. It is proved that the advantages of this method are the simplicity of its implementation and the clarity of the results obtained, which follows from the practical orientation of this tool. Among the limitations of the method of analogy is the mandatory need for reliable data relating to similar projects, as well as the difficulty of taking into account unspecified indicators. Taking into account the mentioned limitations of the method of analogies and on the basis of the analysis of scientific sources the possible directions of its optimization are determined. Thus, among the ways to improve the effectiveness of this method are those aimed at optimizing the project selection process, the data for which are used as a basis for forecasting. Attempts to improve the method of analogies by including parameters that were previously ignored by this technique seem promising. This in turn can lead to an expansion of the scope of the method of analogies and increase the accuracy of forecasts. As prospects for further research, the need to continue research in the field of optimization of the method of analogies with the subsequent practical verification of theoretical positions on the data of real projects.

FACTORS INFLUENCING THE DYNAMICS OF CHANGES IN OIL PRICES

2020 ◽  
Vol 1 (11) ◽  
pp. 103-108
Author(s):  
T. I. SAILAONOV ◽  
Keyword(s):  
Supply And Demand ◽  
Oil Prices ◽  
The State ◽  
Price Regulation ◽  
Oil Products ◽  
Foreign Markets ◽  
Oil Market ◽  
Factors Influencing ◽  
Factors Of Influence ◽  
Oil And Oil Products

The article analyzes the state of pricing in the oil market, examines topical issues of assessing the emerging factors of influence both on the domestic and foreign markets. Particular attention is paid to the issues of the emerging situation of supply and demand for oil and oil products, regulation of its production, storage, transportation, processing, formation of sales volumes and income from sales. Highlighted and disclosed the problem of price regulation in the aspects of finding and achieving flexible forms of negotiating prices for oil supply and oil sales, taking into account various options for the volume of oil production.

NH4 automatic analysers for wastewater treatment plant: evaluation test at laboratory and field level

1996 ◽  
Vol 33 (1) ◽  
pp. 193-201
Author(s):  
H. Wacheux ◽  
J.-L. Million ◽  
C. Guillo ◽  
E. Alves
Keyword(s):  
Wastewater Treatment ◽  
Response Time ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Field Tests ◽  
Time Range ◽  
Data Link ◽  
Factors Of Influence ◽  
June July ◽  
Plant Evaluation

Nine NH4 automatic analysers or monitors were tested in June-July 1995 (among them 2 prototypes): - 5 based on ion electrode; ABB, Applikon, Contronic, Hydro-Environnement, STIP, - 4 based on colorimetry; Danfoss, Data Link (UV absorption), Meerestechnik, Skalar Laboratory tests are aimed to determine response time, repeatability, response linearity, short-term stability, influence of various factors on the measurement. The field test relates to real conditions: all the sensors were installed in parallel at the discharge point of a Wastewater treatment plant (WWTP). Recorded outputs were compared with conventional laboratory analysis of average hourly samples. Response time range from 2 to 21 minutes. Repeatability varies from 1 to 10%, stability from 1 to 17%. Linearity is always good and detection limits (about 0.2 mg/l) do not seem to be critical for use in a WWTP. Among factors of influence, power voltage has limited effect, sample temperature is affecting some monitors, chemical interferents have nearly no effect excepted for one monitor. Field tests have shown that NH4 monitors are still very sensitive and that installation is crucial. Each monitor suffered several failures, some of them required high maintenance and used costly reagents.

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