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.
The present research purpose is applying a compose method from DEA and AHP for removing this technique deficiency on assessing. For this reason, a compose method on basis of unsubjective double comparisons matrix has been used. At research process, after specifying the input and output variables and also a proper model for DEA, computational research method are dismounted at two stages: At the first stage, DEA model, is dismounted for two-by -two of items (branches), regardless to other items. At the second stage, double items comparisons matrix is provided from first stage results, that is performed total rating by resolving a unit -level AHP model. For this purpose, for dismounting this technique, we have attempted to assess rivet producer units efficiency, at one of the greatest industrial units in Iran. Results indicate unit number 3 with efficiency amount 0.12622 has allocated the highest rate to own and unit number 1 and 2 with efficiency 0.12404 has allocated the least rates to own.
In global market, factors such as precedence of competitors extending shave on market, promoting quality of services and identifying customers' needs are important. This paper attempts to identify strategic services in one of the biggest governmental banks in Iran called Melli bank for getting competition merit using Kano and SERVQUAL compound models and to extend operation quality and to provide suitable strategies. The primary question of this paper is on how to introduce high quality services in this bank. The proposed model of this paper uses a hybrid of three quality-based methods including SERVQUAL, QFD and Kano models. Statistical society in this article is all clients and customers of Melli bank who use this banks' services and based on random sampling method, 170 customers were selected. The study was held in one of provinces located in west part of Iran called Semnan. Research findings show that Melli banks' customers are dissatisfied from the quality of services and to solve this problem the bank should do some restructuring to place some special characteristics to reach better operation at the heed of its affairs. The characteristics include, in terms of their priorities, possibility of transferring money by sale terminal, possibility of creating wireless pos, accelerating in doing bank works, getting special merits to customers who use electronic services, eliminating such bank commission, solving problems in least time as disconnecting system, possibility of receiving foreign exchange by ATM and suitable parking in city.
Today, with ever-increasing competition in global economic conditions, the necessity of effective implementation of strategy map has become an inevitable and necessary. The strategy map represents a general and structured framework for strategic objectives and plays an important role in forming competitive advantages for organizations. It is important to find important factors influencing strategy map and prioritize them based on suitable factors. In this paper, we propose an integration of BSC and Fuzzy DEMATEL technique to rank different items influencing strategy of a production plan. The proposed technique is implemented for real-world case study of glass production.
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