BUSINESS EXCELLENCE AND MANAGEMENT

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2248-1354 (print)

 

2668-9219 (online)

 

ISSN-L: 2248- 1354

     
 

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Volume 5, Issue 1, March 2015 

 

1. MEDIATING EFFECT OF JOB SATISFACTION IN THE RELATIONSHIP BETWEEN PSYCHOLOGICAL EMPOWERMENT AND JOB PERFORMANCE

Ferit ÖLÇER
Mustafa Kemal University, Hatay
Turkey
Margareta Stela FLORESCU
The Bucharest University of Economic Studies, Bucharest
Romania

The purpose of this study was to explore the relationships among the four components of psychological empowerment (i.e. meaning, self-determination, competence, and impact), job satisfaction and job performance. This study also tested the mediating effect of job satisfaction on the relationship between the components of psychological empowerment and job performance. A survey questionnaire was used to collect data from a sample of 238 employees in manufacturing industry. SPSS was used to conduct the statistical analysis of all data in this study. Multiple regression analyses were conducted to examine the postulated hypothesis and test the direct and mediated relationships among variables. The findings indicated that meaning, self-determination and impact had positive significant effects on job satisfaction, but competence had no effect on job satisfaction. In addition, competence, self-determination and impact had positive effects on employees’ job performance while meaning did not support the proposed relationship. The results suggested that job satisfaction significantly affected job performance. Furthermore, overall job satisfaction fully mediated the relationship between meaning and job performance. In contrast, job satisfaction partially mediated the relationships between competence and job performance, between self-determination and job performance, and between impact and job performance. ...

2. THE SKILLS FOR EFFECTIVE DECISION MAKING OF PUBLIC ADMINISTRATORS

Etleva LESKAJ
Vasilika KUME
Eglantina ZYKA

Tirana University, Tirana
Albania

In this article will be treated different skills for public administrators, during the process of decision making, which affect the effectiveness of their decisions, and thus will also affect the fulfillment of the objectives of the organizations they lead. The main purpose of the article is to identify the skills that demonstrate public administrators during decision making in order to define how good are their decison making process. On the basis of secondary and primary research, the authors would discuss the findings in order to identify the problems faced during these processes of decision-making public administrators.  ...

3. A CHANCE TO DEFEAT BUREAUCRACY THROUGH LEAN SYSTEM

Ruxandra DINULESCU
Elena Oana CROITORU
Mihaela MASCU
Laura Violeta VOICU

The Bucharest University of Economic Studies, Bucharest
Romania

The public health care system fights every day with issues derived from bureaucracy. Constantly, patients blame the doctors, doctors blame the authorities and in the end, everyone is accusing someone else without trying to understand the origins of bureaucracy and how can be defeated. As long as other European Union countries have succeeded in eliminating bureaucracy, Romania has to take example, to apply other countries’ model and to “clean” once for all the public health care system from everything that could affect its doctors and patients. ...

4. MEDICAL NGOS’ CONDUCT ON FORMULATING THE DISCOURSE ABOUT GOVERNNANCE

Andreea-Angela VONŢEA
Alin STANCU
The Bucharest University of Economic Studies, Bucharest
Romania

From an overall perspective, often the subject of governance has been approached given its provenance from the “for-profit” world. The statement according to which governance comprises both a relationship viewpoint but also one referring to an effective way of achieving organizational objectives, can be a valid one even within a non-profit framework. The current study is founded on observing the other dimension of governance, namely its facet which refers to the charitable organizations’ activity. Hence, there are analyzed the discourses rendered by the most recent annual reports published by three of the leading medical charities from United Kingdom. Emphasizing the best practices derived from such a conduct represents the purpose of this paper itself. In order to provide a thorough understanding of the referrals to charity governance put under investigation, there was used a content analysis method meant to assess in what terms the subjected formulations are similar or differ. Results indicate that although, in major lines, the three charitable entities seem to formulate their discourses as covering the same themes, there are notable differences between them. One potential implication of these findings resides in their importance relative to an NGO’s capacity of continuously improving its various means of obtaining charitable contributions. ...

5. UNDERPRICING AND EX ANTE UNCERTAINTY IN IPOS: EVIDENCE FROM THE TUNISIAN STOCK MARKET

Ahmed JERIBI
University of Sfax, Sfax
Tunisia

In our paper, we use a sample of 33 IPOs listed on the Tunisian Stock Exchange (TSE) from 1994 to 2012 in order to study how the ex ante uncertainty affects the total and the involuntary underpricing. We find that the most underpriced firms are IT firms and those which choose the fixed price mechanism and have the little issue size and the lowest number of days between the prospectus registration and the first day of the subscription period. We also find that only the firm’s sector and the number of days between the prospectus registration and the first day of the subscription period affect involuntary underpcing. ...

6. HYBRID NEURAL NETWORK MODEL TO PREDICT STOCK MARKET INDEX: EVIDENCE FOR THE TUNINDEX STOCK MARKET

Nadhem SELMI
Rabia ACHAIRI
University of Sfax, Sfax
Tunisia

In this paper we utilized as input variables the historical data and analyze the neural networks structure for financial time series forecasting. After chosen the better structure we compared the performance of the neural networks method and generalized autoregressive conditional heteroscedasticity GARCH model. In this paper we proved a combination of neural networks and statistical model is presented for forecasting the return TUNINDEX. This study motivated from the hybrid models (ARCH(2)-M-ANN, ARMA-ANN, GARCH-ANN) is better them the statistical process (ARCH, GARCH,…). ...

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