Objective: As Project portfolio strategic planning (PPSP) is a strategic action in Project-based organizations, its execution needs to be followed by structured stages. Via identifying the effective elements on (PPSP), especially the missed elements in previous models, the present study aimed to propose a step-based framework for execution. Methods: This research utilized thematic analysis to identify the related themes from the literature. The themes were then analyzed by forming a thematic network. Next, by conducting interviews with 12 selected experts, using the snowball method, the obtained findings were reviewed and verified by the Delphi process. A framework for PPSP was developed based on the organizing themes and again verified by experts, repeating the Delphi process. The process was eventually completed by presenting a framework. Results: This study identified 12 basic themes, 4 organizing themes, and one global theme for PPSP. Based on the organizing themes, key elements of PPSP included: 1) Necessity of scenario-based approach in PPSP, 2) Determining divergent visions for future of portfolios, 3) Drawing the portfolio changes path from past to present and future in the form of a roadmap, and 4) Monitoring and analyzing both changes in scenarios and portfolio status simultaneously as a basis for portfolio preplanning. Conclusion: Based on the key elements of PPSP and other findings of this research a "conceptual", "process-based" and "descriptive-prescriptive" framework for PPSP was offered and its conduction was explained in six steps: 1) Documenting Project portfolio history, 2) Documenting Project portfolio current status, 3) Determining Project portfolio visions in different scenarios, 4) Preparing a roadmap to move from current status towards vision status, 5) Assessing realization of scenarios, and 6) Monitoring, analyzing, and preplanning the portfolio.

Project portfolio selection and risk response selection are two issues that have been considered disjointedly by the researchers. In this study، an integrated mathematical model is presented for the above-mentioned problems. A situation is noticed in which، in the stage of selecting the Project portfolio، some of the proposed Projects are facing risks، and some actions can be planned to mitigate these risks. With regard to the fact that implementing these responses requires resources and changes the risk of the portfolio، it is essential to consider the selection of responses at the stage of portfolio selection. A bi-objective mathematical model is proposed، whose first objective is to maximize the profit earned from selected Projects، and its second objective is to minimize portfolio risk. Profit variance is considered as a measure of portfolio risk. A numerical example، illustrates the model application and the difference between the integrated and non-integrative approaches. Non-dominated Sorting Genetic Algorithm (NSGA-II) is applied to solve the model.

Nowadays, organizations are faced with a multitude of Project and investment opportunities. Despite the importance of various criteria, complexity of multi-objective models and weakness of optimization algorithms often compelled manager to limit the selection criteria or only suffice to financial objects. In this paper, it is endeavored to extend selection criteria by using an efficient optimization algorithm based on teaching-learning process, which makes it possible to solve the proposed 0-1 multi-objective programing model. Finally efficiency of the applied algorithm called TLBO is compared with PSO and GA by applying the proposed model in a Project oriented organization. It was shown that TLBO is better than GA and PSO algorithm technique, which was used before in such problems.

The aim of this paper is to explain the financial markets fluctuations by strategic pattern of investment behaviors, together affected by different situations. The key point is finding the strategic patterns of changes in exchange rate, interest rate and other macro-economic indicators envisage economic environment and Commanders financial markets by fluctuations. These variations will affect expectations and demands of entrepreneurs, including investors, especially two indicators, degree of expected return and risk. Changes in the expected return and the degree of risk, put investors in that position in order to achieve the expected return performance with attention to new market conditions and the degree of their acceptable risk, choose their strategies for make some changes in the combination of their portfolio and rebalanced it. portfolio rebalancing is one of the reachable strategies could be used by investors to review their investments ploy. In this paper, with attention to portfolio rebalancing as a proper strategy to make coincidence in investor’ s portfolios simultaneously, we regard the variations in expected rate of return and degree of acceptable risk, affected by market conditions inflections, thus we design and to develop a fuzzy linear programming model. To achieve the research strategic model, the three key components: risk, expected return and liquidity degree on equities have been used to design model and represent it. Also, consider to the importance role of transaction costs to gain the expected return in return calculating process of portfolio, we spot it in our model. In order to test the designed model, data and information of traded listed stock of Tehran exchange market, during 1384-1387. Then we import the different subjective satisfaction level of investors to test the model efficiency. The results show that the designed model could be use for the subjective satisfaction level of investors about the expected return, risk and liquidity of its portfolio, as well as possible and reach to the different strategy of portfolio rebalancing for each investor with different satisfaction level.

Due to limited resources and the presence of agile and intelligent competitors in business environment, develop and prioritize a balanced portfolio of strategic initiatives and Projects are vital. This article attempts to develop, prioritize and select strategic business Projects by using powerful management tools. Therefore, a fuzzy integrated approach of balanced scorecard (BSC) and quality function deployment (QFD) that combination of business management strategic tools based on fuzzy analytical network process (FANP) is selected. Also, in this paper is shown how a company can use three stage "quality function deployment" method based on balanced scorecard (strategy planning, strategy management, initiative management) and with fuzzy analytical network process approach, for achieving the qualitative portfolio of strategic business Projects. Thus the presented methodology in this article extracts and prioritizes the more significant portfolio of organizational Projects. Finally, an application in one of active Companies in Oil industry is presented to illustrate the proposed methodology.

Introduction: Growing influence of the Project as a way to organize things in many organizations require effective management of multiple Projects.. Due to the complexity of IT Projects in organizations due to resource constraints especially if you have multiple Projects, the necessity and use of Project portfolio management in achieving Project objectives in recent years much attention has been. In this research, portfolio management of IT Projects in Isfahan University of Medical Sciences IT Project portfolio Management at University level, based on a three-step model Bert De Reyck (1 - Inventory portfolio 2- portfolio Optimization 3 - Managing portfolio) were investigated.Methods: the present study according to the aim is applied and according to the method of data collection is descriptive - survey Subset of Athletics -. Validity has been confirmed by a number of experts and professors and reliability using Alpha Cronbach coefficient was calculated to 82 Percent. Statistical Society, University ICT All employees that have been done in 1392 AP and to analyze the results of descriptive statistics - mean and standard deviation and - Univariate t-test and a significance level of 0/05 to SPSS 18 software is used.Results: Descriptive analysis of the components of Project portfolio management based on the three organized model Bert De Reyck indicated that the first phase had a mean 2.45±0.81, the second stage has a mean of 2.02±0.69 and The third phase has a mean of 1.87±0.74 respectively. Effects of portfolio management on the effectiveness indicate that the average effectiveness of Projects in each of their indices optimal level and average has been over the 2.75. (P-Value<0.05) And therefore effectiveness is in Positive relation to portfolio management. The mean level of problems in each of its Projects under portfolio management indicated that average was more than 2.75. (P-Value<0.05) And therefore problems are in negative relation to portfolio management.Conclusion: University study showed that the level of IT Project management is in the second stage of Bert De Reyck model. Also Under one Project portfolio Management can add on the effectiveness of Projects and finally a review of the problems of portfolio management Project portfolio management indicated that the level is lower than are added to the institutional Project problems.