The fuzzy object oriented database model is often used to handle the existing imprecise and complicated objects for many real-world applications. The main focus of this paper is on fuzzy queries and tries to analyze a complicated and complex query to get more meaningful and closer responses. The method permits the user to provide the possibility of allocating the weight to various parts of the query, which makes it easier to follow better goals and return the target objects.

This paper presents findings from a study examining organizational design features used by organizations in pursuing their sustainable supply chain objectives. The research purpose was to gain a better understanding of the organizational design features that firms currently use or may use in the future. The results should encourage organizations to address design issues as they relate to overall supply chain effectiveness. The ever-increasing influences of the wider perspectives such as the pursuit of sustainability drive for industry consolidation/ rationalization and the need for responding to changing customer preferences may mean the conventional wisdom of organizing for success is increasingly becoming grossly inadequate, if not obsolete. There are numerous reasons why companies start to rethink about organizational design, organizational structure and its performance to attain a supply chain sustainability journey. Primary among them is to ensure compliance with laws and regulations and to adhere to and support international principles for sustainable business conduct. In addition, companies are increasingly taking actions that result in better social, economic and environmental impacts because society expects this and because there are business benefits to doing so. Given the dynamics of the current competitive global supply landscape, organizational design concerns are critical to sustained organizational success.

Measuring organization performance plays an important role for developing better strategic plans. In today & apos; s competitive environment, organizations attempt for the product quality or offering the service, delivery, reliability capability and the customer satisfaction. These properties are not measurable only by traditional financial criteria and we need a method, which could consider non-financial factors as well. The present study of this paper proposed a hybrid of balanced score card (BSC) and data envelopment analysis (DEA) method for an empirical study of banking sector. The study proposes a model for assessing the Tose`eTa`avon bank performance, which is an example of governmental credit and financial services institutes. The study determines different important factors associated with each four components of BSC and uses analytical hierarchy process to rank the measures. In each part of BSC implementation, we use DEA for ranking different units of bank and efficient and inefficient units are determined.

The dependence of various stock markets plays a vital role in diversification while selecting securities in an investor’s portfolio. This study examines interdependence among the East Asian stock markets in relation to the Karachi Stock Exchange. Monthly data ranging from 2000 to 2010 is included and tested in this paper. This relationship is tested by using descriptive statistics and correlation matrix. Data stationarity is ensured by Unit Root Test. Evidence from Granger Causality and Impulse Response Test prove no relationship between KSE and stock markets of the East Asian countries while there exists certain level of unidirectional relationship from Japan to China and from Japan to Pakistan.

The present paper applies Principal Component Analysis (PCA) for grouping of machines and parts so that the part families could be processed in the cells formed by those associated machines. An incidence matrix with binary entries has been chosen to apply this methodology. After performing the eigenanalysis of the principal component and observing the component loading plot of the principal components, the machine groups and part families are identified and arranged to form machine-part cells. Later, the same methodology is extended and it is applied to nine other machine-part matrices collected from literature for the validation of the proposed methodology. The goodness of cell formation is compared using the grouping efficacy and the potential of eigenanalysis in cell formation is established over the best available results using the various established methodologies. The result shows that in 70% of the problems there is an increase in grouping efficacy and in 30% problem, the performance measure of cell formation is as good as the best result from literature.

Measuring the relative efficiency is one of the most important issues among hospitals in today & apos; s economy. These days, we hear that cost reduction is a necessity for survival of business owners and one primary to reduce the expenditures is to increase relative efficiency. The proposed study of this paper first uses output oriented data envelopment analysis (DEA) to measure the relative efficiencies of nine hospitals. The proposed model uses four types of employee namely specialists, physicians, technicians and other staffs as input parameters. The model also uses the number of surgeries, hospitalized and radiography as the outputs of the proposed model. Since the implementation of DEA leads us to have more than one single efficient unit, we implement supper efficiency technique to measure the relative efficiency of efficient units.

Information technology plays an important role on increasing productivity in many organizations. The primary objective of the present survey is to study the impact of information technology on productivity and find a positive and significant relationship between these two factors. Structural equations technique and LISREL software are used for analysis of the questionnaires distributed among managers and some employees of Iran Behnoush Company. Organizations try to improve their performance by investment in information technology. However, many of the previous studies indicate insignificance of the impact of information technology on productivity of the organizations. The present survey studies the impact of information technology on organizations & apos; productivity through the collected data from the above company. Results confirm existence of a positive relationship between information technology and productivity.

Information technology plays an important role on increasing internal control in many organizations. In this paper, we present an empirical study to measure the impact of information technology, hiring high quality skilled management team, using high quality standards and increasing employees & apos; awareness on managing internal control. The survey uses a questionnaire based on Likert scale and distributes among the people who work in either administration or financial sectors of governmental agencies in province of Zanjan, Iran. The results of the study indicate that the implementation of information technology positively influences management team to control their system, more effectively, using more skilled and specialized managers positively influences management internal control, an organization with suitable standard positively influences management internal control and increasing employees & apos; awareness positively influences management internal control.

Satellite channels play an important role on building a connection among people with the same nationality who live in different parts of the world. The primary question is on how to serve various people with appropriate programs. In this paper, we present an empirical study among 310 audiences of satellite channels. The results show that the demographic characteristics of the audiences including age, gender, and education significantly influence the level of gratification with the satellite channels. From the cognitive perspective, they consider the satellite channels as tools for increasing their knowledge and from an emotional perspective; they consider these channels as enjoyable, entertaining and interesting.

The aim of this paper is to explore the determinants of Portfolio Choice under the investors, professionals and academics’ perception. We introduce an approach based on cognitive mapping technique with a series of semi-directive interviews. Among a sample of 30 Tunisian individuals, we propose tow different frameworks: a mean-variance framework and a behavioral framework. Each framework is oriented to capture the effect of some concepts as proposed by the mean-variance portfolio theory and the behavioral portfolio theory on the portfolio choice decision. The originality of this research paper is guaranteed since it traits the behavioral portfolio choice in emergent markets. In the best of our knowledge this is the first study in the Tunisian context that explores such area of research. Ours results show that the Tunisian investors behave as it prescribed by the behavioral portfolio theory. They use some concepts proposed by the rational mean-variance theory of portfolio choice but they are affected by their emotions and some others cognitive bias when constructing and managing they portfolio of assets.