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Volume 11, Issue 1 - March 30, 2016
JAQM Volume 11, Issue 1 - March 30, 2016
An Analytical Method for Detecting the Change-Point in Simple Linear Regression Model. Application at Weibull Distribution
Dariush GHORBANZADEH, Philippe DURAND, Luan JAUPI
In this paper we study an analytical method to detect the change-point in the model of simple linear regression. The study method is used to estimate the parameters of a Weibull model representative a change-point. The procedure proposed in this paper is illustrated through a classical change-point data. For the accuracy of the method a simulation study is performed.
Statistical Techniques for Detecting Anticompetitive Behaviors of the Enterprises
Mihail BUSU, Florentin SERBAN
Anticompetitive agreements are usually made by enterprises that interact frequently during their day by day activities. Although some agreements are necessary for the good development of their businesses, some economic operators are concluding secret agreements that are harmful for competition as well as for the final consumers. Detecting such behaviors is in the responsibility of the worldwide competition authorities. They are using either direct proof, got through down raids, or through indirect evidences, obtained by using analytical methods for detecting anticompetitive behaviors. This research paper reveals a series of quantitative methods for detecting cartels and some case studies where these methods have been applied.
Integrated Supplier Selection Model using ANP, Taguchi Loss Function and PROMETHEE Methods
Tuğba SARI, Mehpare TIMOR
Supplier evaluation and selection process is one of the most important decision problem for companies. Supplier selection is a Multi-criteria decision making (MCDM) process, since the problem involves both tangible, intangible and also conflicting criteria. In this study a group of main criteria; “quality”, “delivery”, “price”, “environmental health”, “financial status”, “managerial capabilities” and “working conditions” are searched for their interrelations and importance degrees. Analytic network process (ANP) is used for calculations of the weights of the criteria and these weights have been transferred to quality loss via Taguchi loss functions. A case study in automotive industry is presented and finally a comparison with PROMETHEE method is discussed. This study presents a delicate and precise solution to a complex selection problem by comparing traditional and non-traditional methods.
Findings Regarding Romanian ICT SME's Organizational Performance in Knowledge Economy
Sebastian Ion CEPTUREANU
The purpose of this paper is to examine the influence of knowledge management (KM) on the performance of small and medium ICT companies from Romania. To achieve this goal, I conducted a survey on a sample of 79 SMEs. By using relevant statistical techniques. I found out that hypothesis of the research are checked and results indicate that knowledge management has significant direct effects on the performance in SMEs. I must emphasize that this paper shows only in a compact manner results of research who suggests that the promotion of initiatives in the field of knowledge management definitely improve organizational performance.
Counterparty Risk Evaluation in Power Derivatives
Valeria D’AMATO, Luisa DE MARTINO
Power derivatives are financial risk management tools that have been used over time in the energy sector, based on an underlying energy asset. The remarkable increase of the over-the-counter transactions in this field forces the financial institutions to include the cost of counterparty in the pricing framework. The goal of our research is to present measurement formulas for quoting “completed” power derivatives, i.e. instruments embracing the risk to each party of a contract that the counterparty will not live up to its contractual obligations. Our proposal consists in evaluating derivatives completed of innovative collaterals, such as Credit value adjustment (CVA) and bilateral CVA (BCVA). We stress the approach by empirical results.
Competitive Intensity and Its Implication on Strategic Position of Companies
Eduard Gabriel CEPTUREANU
The power of competition is an essential aspect of companies’ external environment and their regional units, which influence the decision on strategy, the decision to enter new regions and markets, the choice of models and assessment of performance. Even if the reflection of the issue of competition in scientific publications is very broad, the aspect of measuring and assessing it is mentioned only a few works. And, more often the degree of competition is presented as something self-evident. While the phenomenon of competition is so difficult, multifaceted and variable, that requires specific criteria and methods for assessing the intensity of competition, adequate to the specificity of a certain market or region. The present paper is focused on the analysis of competition intensity and its influence on strategic position of companies on the market. All analyzed factors are important and significantly can intensify the competition fight among the firms. Thus, the main factors determining the intensity of competition examined in the paper are the distribution of market shares among the competitors, the growth rate and the profitability of the market. In this context, the quantitative coefficients of characterized factors are proposed to be examining as the measure of the competitive intensity. Furthermore, the competitive intensity has its implication on strategic position of companies, giving each of them its place on the market.
Mapping the Informal Employment in Romania. A Comparative Analysis based on Labour and Discrepancy Approaches
Adriana AnaMaria DAVIDESCU (ALEXANDRU)
Informal employment is a widespread phenomenon in Romania. Employees often lack access to social protection or employment benefits, and untaxed envelope payments are common. As the OECD report stated “informality on this scale is a serious problem. It means less tax income for the state and therefore less room to provide infrastructure and public services. The insufficient reach of safety nets to the informal sector renders people vulnerable to economic shock and poverty”. Trying to abolish informal employment isn’t the solution. A better understanding of the complexity of informal employment is needed. The paper aims to estimate the level of informal employment in Romania at regional level using the labour approach and the discrepancy approach for the period 2000-2013 highlighting the regions with the highest level of informality using the both methods. In order to do that, administrative data from Labour force balance, survey data from Labour Force Survey and data from Labour Cost Survey were used. The empirical analysis based on the methods used revealed that using the labour approach survey data, the regions with the highest level of informality are South-West-Oltenia, South-East and South-Muntenia, while using administrative data the regions North-East, South-West-Oltenia, South-East and South-Muntenia represented poles of informality. Using the second method, the discrepancy approach, the regions with the highest number of persons employed in the informal sector are South-Muntenia, North-East and North-West. The main conclusion regarding the evaluation of informal employment at regional level using different methods of estimation highlighted two main regions as poles of informality-South-Muntenia and Nord-East for the year 2013.
Highlighting the Main Factors of Job Satisfaction among Jordanian Hospital Employees
Marji Tania ISSA EID
The study of job satisfaction is justified on the basis of its potential value of understanding and in generating the positive outcomes from both the organisational and individual perspectives. As Spector(1997) stated job satisfaction is more about “how people feel about different aspects of their jobs”. The present study was conducted on the hospital employees as they are one of the most important stakeholders in hospitals to probe the factors influencing their job satisfaction. The paper aims to identify the main factors of job satisfaction using a sample of 325 hospital workers from Jordan using the Minnesota Satisfaction Questionnaire developed by Weiss (1967) a 5-point Likert-type scale with 20 items. This scale has been widely used in the literature being a well-known and stable over the time instrument with previous researches yielding excellent coefficient alpha. Factor analysis was performed using Principal component analysis (PCA) method for extracting factors to establish characteristic components of the job satisfaction variables measured.The empirical results revealed the existence of a 2-factor structure. This work aims at improving our understanding of the nature and assessment of Job Satisfaction in the Portuguese healthcare context, providing a more stable ground for future research in this area.