This research evaluates the effect of perceived value on brand popularity and brand loyalty for some organizations in business-to-business (B2B) domain under the effect of risk and e-service quality. The practical relationships among six different kinds of risks including performance, social, financial, time, psychological and safety with consideration of quality in e-commerce business on customer’s perceived value are evaluated and the effects of this perception of value on consequences of perceived value are measured. In this study, using the partial least square method as well as gathering the information of some Iranian firms that use electronic services, the study finds that there was a significant relationship between various types of risks and perceived value. There is also considerable influence of perceived value on satisfaction, brand popularity, and brand loyalty.

The paper focuses on the application of TODIM (TOmada de Decisao Interativa Multicriterio), which means in Portuguese ‘interactive and multi-criteria decision making’) method in identify-ing the most attractive and affordable under-construction housing project in the city of Kolkata in India. In this decision making problem, 14 under-construction housing projects spanning in and around Kolkata are evaluated with respect to ten important criteria. The deployment of TODIM method can well be validated with respect to its ability to deal with both qualitative and quantitative criteria in the presence of risk factors. This method is also acknowledged to be a robust tool being almost unaffected by the varying values of the attenuation factor of losses. Using TODIM method, an under-construction housing project at Rajarhat in the eastern fringes of Kolkata city is selected as the optimal choice while meeting the requirements of investors, inhabitants and other stakeholders.

One of the primary concerns in project development is to detect all sorts of risks associated with a particular project. The main objective of this article is to identify the risks in the construction project and to grade them based on their importance on the project. The designed indicator in this paper is the combinational model of the Analytical Hierarchal Process (AHP) method and the group decision – making applied for risks measurement and ranking. This indicator is called "R" which includes three main steps: creating the risks broken structure (RBS), obtaining each risk weight and efficacy, and finally performing the model to rank the risks. A questionnaire is used for gathering data. Based on the results of this survey, there are important risks associated with construction projects. There we need to use some guidelines to reduce the inherent risks including recognition of the common risks beside the political risks; suggestion of a simple, understandable, and practical model; and using plenty of the experts and specialists & apos; opinions through applying step. After analyzing data, the final result from applying R index showed that the risk “economic changes / currency rate and inflation change" has the most importance for the analysis. In the other words, if these risks occur, the project may face with the more threats and it is suggested that an organization should centralize its equipment, personnel, cost, and time on the risk more than ever. The most obvious issue in this paper is a tremendous difference between an importance of the financial risks and the other risks.

One of the most important factors of survival of financial institutes and banks in the current competitive markets is to create balance and equality among resources and consumptions as well as to keep the health of money circulation in these institutes. According to the experiences obtained from recent financial crises in the world. The lack of appropriate management of the demands of banks and financial institutions can be considered as one of the main factors of occurrence of this crisis. The objective of the present study is to identify and classify customers according to credit risk and decisions of predictive models. The present research is a survey research employing field study in terms of the data collection method. The method of collecting theoretical framework was library research and the data were collected by two ways of data of a questionnaire and real customers’ financial data. To analyze the data of the questionnaire, analytical hierarchy process and to analyze real customers’ financial data, the TOPSIS method were employed. The population of the study included files of real customers in one of the branches of RefahKargaran Bank in city of Tabriz, Iran. From among 800 files, 140 files were completed and using Morgan’s table, 103 files were investigated. The final model was presented and with 95% of probability, if the next customer’s data is entered the model, it will capable of identifying accurately the degree of customer risk.

Cultural heritage and properties in collections are the most important organizational resources of museums, which can be deteriorated under improper environmental conditions. Identifying the climate deteriorating agents, and assessing and prioritizing their risk levels are among the most recent issues studied by museum conservators and researchers. Creating risk management programs leads to enhancing service life of cultural properties. Temperature and relative humidity are two important factors related directly to objects permanence; Thus, using methods which combine and quantify the conservation effects of temperature and relative humidity, could yield to useful and reliable insights for proposition of effective preventive conservation solutions. This research tries to explain the role and importance of risk management programs in the museums -as one of the main pillars of the country & apos; s cultural heritage; therefore, by using a multidisciplinary approach and existing experiments, proposes a method to examine and assess risks of temperature and relative humidity on museum objects. Such quantitative analysis could help estimate objects & apos; service life and provide solutions in order to enhance it. In order to examine the proposed research method, temperature and relative humidity data were gathered from textile storage room of the Cultural Institute of Bonyad Museums in a period of 18 months.