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Showing 3 results for Valipour Khatir
Explaining Relationships in Strategic Map Using Combined Approach of FMCDM and GP

Volume 7, Issue 4 (2-2018)
Abstract

Strategy maps show value creation path in any organizations which includes strategic objectives of organization. Strategic objectives can provide a focus on organization’s resources based on balanced scorecard. While organizations developing their strategy map, facing with different objectives and relationships between them, it is necessary to use a practical approach to explain the relationship between strategic objectives. This paper aims to provide a hybrid approach for identifying causal relationships between strategic objectives for drawing a strategic map, So that with minimum number of relationships, the maximum impact among the strategic objectives is clarified in the map. In this regard, the importance of all possible relationships is determined by fuzzy analytic hierarchy process (FAHP) and then strategic map was drawn by goal programming with considering to objectives of minimizing the number of relationships and maximizing total importance of the selected relationships. The FAHP results show “supporting demand-oriented researches”, “Strengthen inter-agency cooperation” and “Supporting strategic science and technology” objectives respectively have been the most important in the customer, processes and learning and growth levels of strategic map. Following by goal programming with focus on maximum reach of strategic objectives according to their weights, the minimum connections (14 relationships from 26 relationships) were selected to draw the strategic map. The systematic approach presented in this paper could be the basis of developing the strategic map for all organizations.


Identifying the Success Factors of Alibaba Internet Company

Volume 9, Issue 4 (3-2020)
Abstract
Alibaba Internet Company, with 693 million annual active users from the 12-month period ended September 2019, has been listed as one of the most successful companies in this field in the world, according to the data released. This study is based on a mixed-method approach which consists of two qualitative and quantitative stages.First, by reviewing the theoretical foundations of Internet business success factors, four main criteria including: marketing, information technology, infrastructure and cultural factors, were identified.Then, in the qualitative step, 17 factors were extracted as sub-criteria, by analyzing the documents’ content about Alibaba Company since 1999. Subsequently, these factors, in a quantitative stage, were prioritized using the fuzzy DEMATELtechnique by the views of e-commerce and marketingexperts. The reliability and validity of the research tool, has been confirmed using internal consistency and content validity, respectively. According to the findings, among the criteria, the information technology, has the highest impact on the success of Alibaba's electronic businesses. Based on the factors identified in Alibaba's success, Internet business executives can take steps toward excellence in their businesses.

Developing Performance Based Budgeting Model: Organizational Excellence Approach

Volume 21, Issue 2 (9-2017)
Abstract
Necessity to budget restructuring from program budgeting to performance ‎budgeting led to many studies for requirements of these changes. By ‎reviewing literature budgeting models with concept of ‎performance as Excellency and Efficiency was not seen. Main idea of this research ‎was providing Performance-based budgeting model with following criteria: 1-while considering general policies of Tehran University of Medical Sciences in ‎budget allocation among subset hospitals, efficiency at overall and ‎efficiency in budget allocation should be taken into account. 2- Efficiency of the ‎ used mathematical models should be considered.‎‏ ‏The EFQM Excellency model was used as a base ‎of excellence assessment in hospitals. In order to classify hospitals, thoes with similarities in excellence dimensions were clustered and ‎ efficiency of hospitals evaluated using BCC model. ‎ In order to achieve the main purpose of the study, at the first step, crisp performance-‎based budgeting model was designed by 6 Goal (Excellency, efficiency and Bed ‎Occupancy Rate at two levels of Cluster Average and within clusters) then the ‎model was enabled to better respond in uncertainty situation by using the fuzzy ‎and robustness methods. Also, in order to analyze capabilities of ‎robust models more precisely, the Monte Carlo simulation was used. Results showed that the ‎robust-fuzzy model has more capability than crisp model reposing the uncertainty ‎in parameters of problem. ‎
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