A Survey of Dates Exporting: On Saudi Arabia

Author(s):  
A R. Pon Periyasamy ◽  
S. Padmanayaki

The study focus on testing the determinants of competitive advantage of dates marketing from Saudi Arabia through multi- regression model based on Porter’s diamond, which is determined the factor that affecting on competitiveness of nations in international marketing, such as factor conditions, demand conditions, related and supporting industries, and company strategy; structure; and rivalry. Our study selected the most competitive countries for Saudi Arabia in marketing dates in its markets (like Egypt, Iraq, and Tunisia). The results of study showed that the four determinants are significant and R square is high more than 95% in all equations this is agree with our assumptions, but the signs parameters of these determinants are different from our expectations specially with the quantity of production in Saudi Arabia which appear negative with the value of export of dates from KSA, that is because the consumption of dates in domestic market is high and it absorbs the high quality kind of dates, which is needed for external market. We tested also the same determinants for the competitive countries (Egypt, Iraq, and Tunisia); we found the same results, except Egypt, which have huge domestic demand that is effect on demand conditions in this country. Our study suggested more studies are needed for related and supporting industries of dates with this crop, to save data base in this field, and give more attention for quality of dates, packaging and prices for Saudi exporting of dates.

2021 ◽  
Vol 1 (2) ◽  
pp. 118-123
Author(s):  
G. JARROUJ ◽  
◽  
S. HASAN ◽  

Lean and Six Sigma are the two most important methods in assessing the quality of business processes in many industries, helping organizations achieve higher efficiency and improved operational efficiency. Both methods are vital to the hospitality industry, giving hotels a competitive advantage by improving customer service efficiency, leaving guests with a good experience, and providing a high quality of service. By combining these two methodologies, it is possible to anticipate and meet the specific expectations and needs of guests.


2020 ◽  
Vol 18 (1) ◽  
pp. 2-19
Author(s):  
Stan Lipovetsky

A regression model built by a dataset could sometimes demonstrate a low quality of fit and poor predictions of individual observations. However, using the frequencies of possible combinations of the predictors and the outcome, the same models with the same parameters may yield a high quality of fit and precise predictions for the frequencies of the outcome occurrence. Linear and logistical regressions are used to make an explicit exposition of the results of regression modeling and prediction.


2014 ◽  
Vol 2 (2) ◽  
pp. 17-20
Author(s):  
Anna Wolak-Tuzimek ◽  
◽  
Elżbieta Noworol-Luft ◽  
Radosław Luft

Growth factors of competitiveness are presented empirically. Conditions of competitiveness are determined by internal factors, dependent on enterprises themselves, and by a wide range of internal factors, dependent on the macroeconomic environment. Analysis of statistics concerning 2004-2011, collected as part of the author's research, leads to the conclusion that enterprises gain competitive advantage by low pricing and high quality of their products. A growing importance of quality as a factor determining enterprise competitiveness can also be noted.


Era of industrial Revaluation technologies and multiple end users emerging flavours of services can change the mind of end user at any time. This situation increases the demands of technological flavours. Extreme traffic of streaming, high quality of multimedia systems, flavours of services, on demand access can makes the mind diversion of humans, situation increases market competition of telecom to rendering the demanding services and that’s make ruin. This situation increase such type of customer those who stop the business with entire company and deal with another company which gives its demanding services. The leading situation increases the user churn or unsatisfied users. [3, 4, 5, 6]. Presented work is an Evolutionary Approach of Machine Learning for Monitoring Churn Prediction of Broadband Customer “MCPOBBC” for telecom industries.


Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.


2019 ◽  
Vol 4 (2) ◽  
pp. 34
Author(s):  
Priyo Wismantoro ◽  
Fika Dwiyanti

Business banking is a service business based on principles of trust and t5he customer is a major asset. Under conditions of business competition among banks strict bank that has resulted in only a competitive advantage (compatative advantage as well as a competitive advantage) who can reach the highest position in the eyes of cusmers or the public. Competitive advantage can be obtained from the quality of customer servicr, so the focus on customers (customer focus), responsive to the development of customer desires and continuously innovate is an acitivity that can be done to anticipate the cimpetitive conditions. In this case, the bank should always evaluate the quality of service given to customers and is reflected in the level of customer satisfaction obtained. Rate the quality of service branch of bank syariah mandiri bogor whole is still under service, because it still was below expectations, this is evident also that the general level of service is still not meeting customer expectations, because the level of hope (expectation0 the customer is generally higher than the level of performance (perfromance) or perception(perception)customer.        Empathy dimension of service quality dimensions are most critical or have any impact on the most powerful influence on the level of satisfaction. In this case, the willingness og bank syariah mandiri branch bogor provide individual attention in serving its clients is crucial. Empathy dimension attributes inclide individual attention, operational time , personal attention, giving interests, and understand the needs. These attributes is the main priority of service quality improvements are intensive and comprehensive.           Customer service strategy to be implemented by the management of bank syariah mandiri in perspective five dimensioris of service quality(tangibles, realiability,responsiveness, assurance and empathy) looks not optimal. In an effort to provide the best service (service excellence) and focus to the customer(customer focus), then the customer satisfaction can be obatained with significantly improved and the improvement of quality of serivice aspects and impticalions of the strategy need to be consldered


2020 ◽  
pp. 52-58 ◽  
Author(s):  
A. A. Eryomenko ◽  
N. V. Rostunova ◽  
S. A. Budagyan ◽  
V. V. Stets

The experience of clinical testing of the personal telemedicine system ‘Obereg’ for remote monitoring of patients at the intensive care units of leading Russian clinics is described. The high quality of communication with the remote receiving devices of doctors, the accuracy of measurements, resistance to interference from various hospital equipment and the absence of its own impact on such equipment were confirmed. There are significant advantages compared to stationary patient monitors, in particular, for intra and out-of-hospital transportation of patients.


Author(s):  
Aliva Bera ◽  
D.P. Satapathy

In this paper, the linear regression model using ANN and the linear regression model using MS Excel were developed to estimate the physico-chemical concentrations in groundwater using pH, EC, TDS, TH, HCO3 as input parameters and Ca, Mg and K as output parameters. A comparison was made which indicated that ANN model had the better ability to estimate the physic-chemical concentrations in groundwater. An analytical survey along with simulation based tests for finding the climatic change and its effect on agriculture and water bodies in Angul-Talcher area is done. The various seasonal parameters such as pH, BOD, COD, TDS,TSS along with heavy elements like Pb, Cd, Zn, Cu, Fe, Mn concentration in water resources has been analyzed. For past 30 years rainfall data has been analyzed and water quality index values has been studied to find normal and abnormal quality of water resources and matlab based simulation has been done for performance analysis. All results has been analyzed and it is found that the condition is stable. 


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