International Journal of Economics and Statistics

 
E-ISSN: 2309-0685
Volume 7, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 7, 2019


Title of the Paper: Improving Service Quality Using Consumers’ Complaints Data Mart Which Effect on Financial Customer Satisfaction

 

Authors: Alaa Khalaf Hamoud, Hisham Noori Hussien, Eman Talib Jasim , Arwa Akram Fadhil, Zahraa Raad Ekal

Pages: 70-82

Abstract: One of the best ways to enhance the performance of all companies and manage Customer Satisfaction is to get the consumers complaints and analyze them in order to fix them. These complaints represent the consumers’ behavior to the companies and how these company s response to them. Besides, customers’ satisfaction is the main goal of all companies and this goal cannot achieve if they do not handle the customers’ complaints. The paper represents a framework of complaint data mart construction where the source data are thousands of complaints about services and financial products of companies. The data mart represents the first step to implement an enterprise data warehouse (DW) to support strategic decisions. Reports are constructed to help analysts and decision-makers to support their decisions related to consumers’ complaints and how to improve service quality. Two different categories of on-line analytical processing (OLAP) reports are used, offline and web OLAP reports. The two types of reports provide a deep view of the data and present the analysts with flexible charts that can be used in supporting strategic decisions. SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS) 2014 beside SQL Server Data Tools (SSDT) 2013 is used to build the data mart staging table, schema, cube, and OLAP reports. MS Excel Pivot table 2010 is used also to import the cube and build offline reports and implementing OLAP processes. This data mart can be utilized by consumers themselves besides decision-makers and analysts. The data mart can measure how the companies fix complaints issues and prevent them from occurring again and identify the factors that influence financial customers’ satisfaction.


Title of the Paper: A Multi-Criteria Group Decision Making Method for Big Data Storage Selection

 

Authors: Jabrane Kachaoui, Abdessamad Belangour

Pages: 64-69

Abstract: The terms data lake and data warehouse are very commonly used to talk about big data storage. The two concepts are providing opportunities for businesses to better strengthen data management and achieve competitive ad-vantages. Evaluating and selecting the most suitable approach is however challenging. These two types of data storage are often confused, whereas they have many more differences than similarities. In fact, the only real similarity between them is their ability to store data. To effectively deal with this issue, this paper analyses these emerging big data technologies and presents a comparison of the selected data storage concepts. The main aim is then to propose and demon-strate the use of an AHP model for the big data storage selection, which may be used by businesses, public sector institutions as well as citizens to solve multiple criteria decision-making problems. This multi-criteria classification approach has been applied to define which of the two models is better suited for data management.


Title of the Paper: Big Data Analytics in E-Commerce for Gaining the E-business Competitive Advantage

 

Authors: Ansam Khraisat, Ammar Alazab, Savitri Bevinakoppa, Hania Alhamad

Pages: 43-63

Abstract: E‚Äźcommerce has resulted in organisations putting huge assets in online systems to stretch out business forms on to the World Wide Web. Traditional techniques for estimating Web use miss the mark regarding the wealth of information required for the powerful assessment of such methodologies. Many organizations are interested in analyzing and evaluating the web data for their websites because websites are a very important platform to carry out their business. However, website evaluations face many challenges in using analytics, especially with the huge amount of data that the websites are collecting from various sources. This calls for methods to examine, understand and visualize the huge amounts of stored data collected from the websites. In this paper, a framework is developed for identifying user’s behaviours on websites. Firstly, the attributes are extracted from different websites using Google Analytics and other API tools. Secondly, data mining techniques such as clustering, classification and information gain are applied to build this framework. The obtained results of the study can be used to evaluate the website and provide some guidelines for the webmaster team to increase user engagement with a website and understand the influence of user behaviour in purchases. In addition, this framework is able to identify which behaviour features influence user purchasing decisions. Our proposed framework for identifying user’s behaviours on websites is tested on a large dataset that contains a variety of individual users from different websites.


Title of the Paper: The Information Technologies Outcome on Total Quality Management as the Most Important Study

 

Authors: Faten Ahmed Jebur Al-Sudini, Hazim Abdulameer Fadhil Al-Afare, Muftah Hilal Aldabbar

Pages: 38-42

Abstract: Both of Total Quality Management (TQM) and Information Technology (IT) have considerably impacted on most organizations and each one has been generally researched. on the other hand, there is little well-founded practical research on the relationship between the two, particularly on the way in which TQM is influenced by IT. There is little doubt that applications of IT influence all parts and functions of a company, therefore, it is argued that IT also must affect Total Quality Management (TQM). This paper propose a study of such relationships through an analysis of industrial companies based in Libya. The data will be got will show that the most concentrated users of IT identify a bigger impact on their TQM scope.


Title of the Paper: About Informational Utility of Investment Project Expertise

 

Authors: Danko E.V., Oskorbin N.M., Ternovoy O.S.

Pages: 34-37

Abstract: In the context of this article the effectiveness of an investment project is evaluated by net present value, this index is considered a random variable which can be estimated by an investor as a segment. Main difficulties in decision-making process arise when this segment includes zero value. In order to reduce the rate of uncertainty an investor can decide to carry out an expertise. And so the main features of utility evaluation of an investment expertise are explained in the article


Title of the Paper: The Effect of Perceived Trust in Technology, Trust in Bank and Perceived Risk on Customer Adoption of Mobile Banking

 

 

Authors: Ibrahim Almarashdeh, Ghaith Jaradat, Firas Haddad, Mutasem Alsmadi, Usama Badawi, Rami Ajamaeen

Pages: 28-33


Title of the Paper: An Optimal Control Problem to Determine Optimal Paths of Some Macroeconomic Indicators - Empirical Study for Romania

 

Authors: Ana Andrei, Angela Galupa, Sorina Gramatovici, Irina Georgescu

Pages: 20-27

Abstract: In this paper we focus on the empirical application for Romania of an optimal control model having as state variables the the real wealth and expected inflation, as control variable real government expenditures and as objective function, the minimisation of the integral during initial and final time of the squared differences between actual real government expenditures and their corresponding political values. The dynamic system coefficients were calculated based on the equilibrium trajectory of IS-LM-SARS model using statistical data for Romania during 2001Q2-2016Q2 and computed the multipliers. We solved the model according to the Pontryagin’s theorem and we computed the paths in MATLAB by Runge-Kutta algorithm. Finally, we computed and forecast the main macroeconomic indicators, replacing the optimal values resulted from optimal control problem, in the equilibrium equations given by IS-LM-SRAS model.


Title of the Paper: The Assessment of Occupational Risks Factors

 

Authors: Dumitrascu A. E.

Pages: 16-19

Abstract: This paper present the methodology for assessing the occupational risks factors at work place. The process consist on identification of the risk factors, assessing and prioritizing the specific professional risks in order to identify and establish measures meant to protect the health and ensure the safety of the workers. The case study refers to the assessment of occupational risks factors specific to the components of work place: production system, work task, work environment and operator. The results of the assessment indicate that 50% represents the occupational risk factors of the production system, 25% represents the occupational risk factors of the operator, 9.3% represents the factors related to the working environment and 15.6% represents the factors related to the work tasks.


Title of the Paper: Analysis of the Problem of Intervention Control in the Economy on the Basis of Solving the Problem of Tuning

 

Authors: Peter Shnurkov, Daniil Novikov

Pages: 1-15

Abstract: The paper proposes a new stochastic intervention control model conducted in various commodity and stock markets. The essence of the phenomenon of intervention is described in accordance with current economic theory. A review of papers on intervention research has been made. A general construction of the stochastic intervention model was developed as a Markov process with discrete time, controlled at the time it hits the boundary of a given subset of a set of states. Thus, the problem of optimal control of interventions is reduced to a theoretical problem of control by the specified process or the problem of tuning. A general solution of the tuning problem for a model with discrete time is obtained. It is proved that the optimal control in such a problem is deterministic and is determined by the global maximum point of the function of two discrete variables, for which an explicit analytical representation is obtained. It is noted that the solution of the stochastic tuning problem can be used as a basis for solving control problems of various technical systems in which there is a need to maintain some main parameter in a given set of its values.