Selecting a product development strategy that is associated with the company & apos; s current service or product innovation, based on customers’ needs and changing environment, plays an important role in increasing demand, increasing market share, increasing sales and profits. Therefore, it is important to extract effective variables associated with product development to improve performance measurement of firms. This paper investigates important factors influencing product development strategies using factor analysis. The proposed model of this paper investigates 36 factors and, using factor analysis, we extract six most influential factors including information sharing, intelligence information, exposure strategy, differentiation, research and development strategy and market survey. The first strategy, partnership, includes five sub-factor including product development partnership, partnership with foreign firms, customers’ perception from competitors’ products, Customer involvement in product development, inter-agency coordination, customer-oriented approach to innovation and transmission of product development change where inter-agency coordination has been considered the most important factor. Internal strengths are the most influential factors impacting the second strategy, intelligence information. The third factor, introducing strategy, introducing strategy, includes four sub criteria and consumer buying behavior is the most influencing factor. Differentiation is the next important factor with five components where knowledge and expertise in product innovation is the most important one. Research and development strategy with four sub-criteria where reducing product development cycle plays the most influential factor and finally, market survey strategy is the last important factor with three factors and finding new market plays the most important role.

E-banking plays an important role on increasing customer satisfaction and helps industry grow faster. Most banks try to retain their customers by introducing more electronic services to facilitate banking transactions. Creating loyalty through providing better banking services is a new area of research. In fact, e-loyalty can be directly impacted by e-satisfaction, e-trust, and indirectly influenced by e-services, perceived value, reputation, and habit. Therefore, the present paper deals with designing and explanation of loyalty formation model in e-banking. The preliminary results indicate that “satisfaction” is the most influential component affecting customer loyalty formation with an 87% diagnose coefficient. In addition, trust formation in customers may impact loyalty in an electronic environment with a 70% diagnose coefficient. Moreover, the most important factors impacting customer satisfaction include “reputation” “perceived value,” “service quality,” and “habit” with relative effects coefficients of 44%, 32%, 29%, and 26%, respectively. Finally, “reputation,” “service quality,” “habit” and “perceived value” have been the most important factors influencing customer trust with influence coefficients of 37%, 32%, 31%, and 24%, respectively.

Researchers have tried to investigate multiple factors affecting employees & apos; social, emotional, and psychological well-being. In this study particularly, nurses & apos; emotional and psychological well-being is considered. Of most important factors affecting well-being in place of work has known to be busy work and stress, constructive and destructive emotions, and psychological capital which. Present study considered to test a developed model of psychological capital, constructive and destructive emotions, stress, anxiety, and depression as antecedents of well-being. 296 nurses took part in the survey, using path analysis method hypotheses were tested, and the proposed model was evaluated. Results indicated that nurses & apos; high psychological capital increases their constructive emotions, reduces destructive emotions and eventually increase their well-being. The role of destructive emotions was more prominent in increasing wellbeing as well. Furthermore, stress had an incremental influence on well-being. In general, research results emphasize the need for more attention to the components of psychological capital, and intervention and coping strategies. The conclusions of a more detailed is that to improve nurses & apos; well-being the more emphasize should be on decreasing destructive emotions than increasing constructive ones. In addition, keeping an optimal level of stress is necessary for good functioning and improvement of overall well-being.

These days, There are several applications where we face with large data set and it has become an important part of common resources in different scientific areas. In fact, there are many applications where there are literally huge amount of information handled either in terabyte or in petabyte. Many scientists apply huge amount of data distributed geographically around the world through advanced computing systems. The huge volume data and calculations have created new problems in accessing, processing and distribution of data. The challenges of data management infrastructure have become very difficult under a large amount of data, different geographical spaces, and complicated involved calculations. Data Grid is a remedy to all mentioned problems. In this paper, a new method of dynamic optimal data replication in data grid is introduced where it reduces the total job execution time and increases the locality in accessibilities by detecting and impacting the factors influencing the data replication. Proposed method is composed of two main phases. During the first phase is the phase of file application and replication operation. In this phase, we evaluate three factors influencing the data replication and determine whether the requested file can be replicated or it can be used from distance. In the second phase or the replacement phase, the proposed method investigates whether there is enough space in the destination to store the requested file or not. In this phase, the proposed method also chooses a replica with the lowest value for deletion by considering three replica factors to increase the performance of system. The results of simulation also indicate the improved performance of our proposed method compared with other replication methods represented in the simulator Optorsim.

Insurance industry includes a significant part of economy and it is important to learn more about the capabilities of different firms, which are active in this industry. In this paper, we present an empirical study to rank the insurance firms using analytical hierarchy process as well as factor analysis. The study considers four criteria including capital adequacy, quality of earning, quality of cash flow and quality of firms’ assets. The results of the implementation of factor analysis (FA) have been verified using Kaiser-Meyer-Olkin (KMO=0.573) and Bartlett & apos; s Chi-Square (443.267 P-value=0.000) tests. According to the results FA, the first important factor, capital adequacy, represents 21.557% of total variance, the second factor, quality of income, represents 20.958% of total variance. In addition, the third factor, quality of cash flow, represents 19.417% of total variance and the last factor, quality of assets, represents 18.641% of total variance. The study has also used analytical hierarchy process (AHP) to rank insurance firms. The results of our survey indicate that capital adequacy (0.559) is accounted as the most important factor followed by quality of income (0.235), quality of cash flow (0.144) and quality of assets (0.061). The results of AHP are consistent with the results of FA, which somewhat validates the overall study.

Physical education is one of the most important parts of schoolchildren studies and it could influence of social and academic performance of children, significantly. This paper studies physical education among schoolchildren who attend elementary schools in city of Esfahan, Iran over for the educational calendar of 2010-2011. The study selects 52 schools as sample, 18 non-for-profit and 34 governmental schools and half of them belong to female students. The results of this study indicate that physical education has a somewhat better quality in non-for-profit educational system compared with governmental ones although this difference is not statistically significance (P & LT; 0.05). In our survey, ten percent of time, physical education was performed poorly, twenty five percent was in average condition, forty eight percent was in good condition and seventeen percent was in excellent condition.

Precision in earning report has always been a concern among investors, and when there are some negative adjustments on earning, investor may find it challenging to decide whether they should hold or sell their shares. This paper studies the impact of earning precision and unexpected earning adjustments on firms whose share are listed on Tehran Stock Exchange. The proposed study of this paper considers three hypotheses including whether earning precision has negative relationship with unexpected profit, whether it has a negative with unexpected decline in profit and finally, whether, in prediction on negative news compared with positive news, there is a negative relationship between stronger earnings forecast and precision of earning forecast. The study gathers the necessary data from official news released for some firms whose shares were active over the period 2003-2012. The study uses two regression models and the results of regression analysis have confirmed all hypotheses of this survey.

Organizational intelligence (OI) plays an important role on creating competitive strategy. This paper measure the effect of OI differentiation through value chain of organizational activities. The proposed study is applied in companies, which are active in the field of producing powder coating. Literature and background of research was reviewed to compile theoretical framework of the research model and after conducting library studies and performing exploratory interviews, important factors influencing OI on various sectors of the organization were extracted. In the same direction, these components were assessed through survey research and questionnaire tool. The proposed study uses structural equation modeling is implemented to study the effects of various factors and the validity of relationship among components was confirmed through a conceptual model.

Performance measurement plays an important role on media organizations and there are literally many methods for measuring the performance of an organization. European Foundation Quality Management (EFQM) is one of the most popular methods for measuring performance of organizations. In this paper, we perform an empirical survey to customize this method for broadcasting organization of Iran. The proposed model of this paper designs a questionnaire and distributes among 3000 employees of the Iranian broadcasting organization. We have analyzed and assigned some points to different criteria and realized that standard EFQM can be considered as a customized method for taking appropriate strategies in this organization.

Many wireless sensor network applications require data gathering as the most important parts of their operations. There are increasing demands for innovative methods to improve energy efficiency and to prolong the network lifetime. Clustering is considered as an efficient topology control methods in wireless sensor networks, which can increase network scalability and lifetime. This paper presents a method, IP2P K-means – Improved P2P K-means, which uses efficient leveling in clustering approach, reduces false labeling and restricts the necessary communication among various sensors, which obviously saves more energy. The proposed method is examined in Network Simulator Ver.2 (NS2) and the preliminary results show that the algorithm works effectively and relatively more precisely.