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Effective IT governance guarantees alignment of IT with business in order to maximize benefits, achieving organizational goals and optimal use of IT resources. Therefore in industries such as banking industry due to the dependency of their activities on IT, appropriate IT governance is no longer a “nice to have”, it is a “must have”. To achieve effective IT governance, an organization needs to employ well-designed, well-understood, and transparent governance mechanisms. A complete list of 30 IT governance mechanisms categorized in 3 groups: decision making structures, alignment processes and relational mechanisms were synthesized through the literature review and using the Qualitative Meta-Synthesis Methodology. In the next step, a group of domain experts were requested to modify the list to the specific characteristics of Iranian banking industry and as a final outcome, a list of 26 mechanisms for effective IT governance in Iranian banking industry was obtained. Then, designed and validated questionnaire of field studies was distributed among IT managers of 25 banks. The collected data were analyzed via statistical tests. Results indicated 12 mechanisms are strongly deployed among which the existence of an IT strategy committee, IT project steering committee, IT project tracking (time and budget control) and Motivation and incentive to follow the principles of IT governance have positive impact on effective IT governance in Iranian banking industry.    

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In E-commerce and wireless communication technologies, location-based services are one of the most valuable processes. Using this services in the banking industry, in addition to providing customized banking services to customers, will bring infinite benefits for banks. However, due to the new emergence of this technology and possible obstacles ahead, it is essential to be paid to the issue of acceptance of this services in the banking industry. The aim of this study is presenting a model for acceptance of location-based services to Iranian banks. For this purpose, according to the Unified Theory of Acceptance and Use of Technology, a comprehensive model has been developed to identify effective factors on the acceptance of location-based services in Iranian banks and has been tested utilizes structural equation modeling, in the community of banks customers in Tehran. After analyzing the results, the main research hypotheses were confirmed and the effective factors on acceptance of location-based services in Iranian banks, including performance expectancy, effort expectancy, facilitating conditions, social influences, privacy concerns, confidence, perceived risk, and willingness to innovation. According to the findings, gender and age is not involved in the acceptance of the banking location-based services, but the educational degree is effective on intend to use this services.

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Over the past decades, Enterprise Resource Planning systems (ERP) have become one of the most important developments in the use of information technology. ERP implementation projects which involve large groups of organization's resources are usually large and complex. There are evidences of high failure in ERP projects. Therefore, attention to ERP system success or failure factors is critical. Governance is one of factors that had been considered as influencing factors of ERP success in some researches, so this study intends to investigate direct relation between IT governance practice and ERP system success. This paper used an adapted model from the widely used Delone and McLean's model of IS success for assessing ERP value. With considering the relationship between governance aspects and the variable of adopted IS success model, the conceptual model and assumptions of this study were developed. Data gathered by questionnaire and based on responses from MAPNA group companies' members. Then structural equation modeling and Smart PLS software were used for analyzing survey data. According to obtained results, governance has a substantial relation with ERP system success.

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The advent of new technologies is constantly evolving in today's societies, while information technology is the most effective of these activities. Since information technology can have a devastating impact on the environment, protecting the environment from these threats has added to the concerns of organizations, and as a result, the Green IT debate has become a topic of the day. Different models and methods have been used to explain the various dimensions of the maturity of green information. In this research, a dynamic model was developed to examine the relationship between components and determine the appropriate strategy to reduce energy consumption and thus increase the maturity level of green information technology in the organization. Since the banking industry is closely related to information technology, all Iranian banks have been investigated in this study. First, various components influencing the maturity of green information technology have been identified and their initial level and factors influencing their increase or decrease have been determined, then Causal loop and Stock and flow diagrams are illustrated to explain their relationships. In this regard, variables related to human factors and factors related to technology have been investigated. In the end, after testing and simulating a dynamic model, several scenarios have been proposed to improve the situation in the banking industry and to reach the highest level of maturity of green information technology. Keywords: Green Information Technology, Green Technology Maturity, System Dynamics, Banking Industry

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In recent years, the emergence of social networks has led to an increasing attention to recommender systems based on user reviews. The purpose of developing such systems is to use valuable information from users' textual comments in the process of modeling and recommending. User comments reflect the actual opinions on the products and services, so they are a valuable resource for recommending. In social networking environments, collaborative filtering systems are used to provide advice to users. The basis of this approach is the experience and opinion of the other people to buy items and products. This approach is based on the assumption that users who have the same interest have a similar rank. In this research, a system is proposed to provide recommend for users to buy books by combining the collaborative filtering and sentiment analysis. For sentiment analysis, ensemble methods based on weighted voting have been used to extract user’s opinions. In the weighting method, a greater weight is assigned to a classifier which has higher accuracy. The selected model has been evaluated on the 7210 user’s comment which extracted from the Amazon website by the web crawler. The results show that the sentiment analysis of the feeling of the users' comments systems has a positive effect on the performance of recommender systems.

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In this article, the significance of utilizing active toe joints in biped robots feet is examined. The main goal of this research is to employ active toe joints and heels to improve gait performance from two points of view: actuating torques of knee joints and total consumed energy. Considering the effectiveness of toes and heels in walking, a new walking pattern is fully addressed and compared with another walking pattern which does not exploit toes and heels. In order to develop a verified dynamics model for considered humanoid robot with 22 DoFs, two analytical methods i.e. Lagrange and Kane are adopted and the obtained results are compared. To reduce calculation burden, an iterative method for dynamics model development is proposed, based on Kane approach. Furthermore, to verify the obtained ground reaction forces and moments, ZMP is computed and compared using two methods. In the procedure of gait planning, first the pelvis trajectory is planned. Then, the feet trajectory planning process is done. After designing trajectory in task space, all joint trajectories except the trajectories of toes are obtained, using closed-form inverse kinematics solution. Toe joints trajectories are planned separately, considering the sole trajectories. Consequently, the significant parameters in gait planning are considered as design variables in optimization procedure in order to reduce the maximum torque of knees and total consumed energy as cost functions. Finally, it is demonstrated that which walking pattern is highly appropriate for walking with large step length on flat terrain, under joint torque and velocity limitations.

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In this paper, to improve the accuracy of the one-mass and three-mass inverted pendulum models, which have been used for generating real-time walking patterns for biped robots, we propose a novel model based on the three-mass inverted pendulum. The proposed model employs an approximation of moment of inertia of the swing leg to improve the accuracy of the three-mass inverted pendulum in estimating dynamic behavior of the robot. In order to show significance of the proposed model, trajectories for the Center of Mass (CoM) are obtained using the three models, based on a desired ZMP trajectory. The task space trajectories, then, are mapped into the joint space, using inverse kinematics. Having the joint space variables, the actual ZMPs for the three obtained walking patterns are computed and compared. This comparison well shows merit of the proposed model in estimating dynamic behavior of the robot, especially for walking with relatively high speeds. The kinematic and dynamic properties of the models in this paper are based on the humanoid robot SURENA III, which has been designed and fabricated in the Center of Advanced System and Technologies (CAST), university of Tehran.

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In this paper a push recovery controller for balancing humanoid robot under severe pushes for situation that contact surface is small is presented. Human response to progressively increasing disturbances can be categorized into three strategies: ankle strategy, hip strategy and stepping strategy. The reaction of human to external disturbances in the situations that contact surface is small or stepping is not possible is generating upper body angular momentum. In this way in this paper, a single model predictive controller scheme is employed to controlling the capture point by modulating zero moment point and centroidal moment pivot. The proposed algorithm is capable of recovering balance of humanoid robot under severe pushes without stepping in situation that contact surface is shrunked to a strip. The goal of the proposed controller is to control the capture point, employing the centroidal moment pivot when the capture point is out of the support polygon, and/or the zero moment point when the capture point is inside the support polygon. The merit of proposed algorithm is shown successfully in different simulation scenarios using characteristic of SURENA III humanoid robot.

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To encounter with Knowledge Management, the organizations should select appropriate knowledge strategy and knowledge management strategy. There are different methods for developing these strategies. In this study a System Dynamics model developed to select and integrate both strategies. In the proposed model organizational factors such as business strategy, structure, culture, human resource and IT infrastructure have been considered. On the other hand, from the dynamic approach perspective, the knowledge creation processes and the level of explicit or tacit knowledge have direct impact on selected strategies. In this paper all the stock variable and their initial value have been identified then the flow variable and theier increasing/decreasing rate have been determined and casual loops and stock and flow diagrams was proposed. At last after simulating and testing the dynamic model, different scenarios and policies have been presented for the case study. The results indicate improvement in both KM strategy and knowledge strategy. Keywords: knowledge management, knowledge management strategy, knowledge strategy, system dynamics

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Cloud-based knowledge management systems to create competitive advantage through cost reduction and performance improvement are. Implementation of knowledge management is expected in the organization and operation of the valuable benefits it entails the identification of factors affecting the success of the implementation of the design and implementation makers.This research using mixed or combined in both qualitative and quantitative research has been done. The grounded theory method of qualitative and quantitative descriptive method - has been used. Success factors and the model output data of the Foundation. To conduct field studies, based on selected factors, a questionnaire was drawn up and the importance of success factors and the priority to the polls between knowledge management and cloud computing experts have been laid.Based on results obtained seven factors, including prioritizing, respectively, including those related to trust management factors, human factors and cultural, organizational factors, technical factors, economic factors, environmental factors are. The most important consequence of detected using these systems include reduced time in the process of knowledge management, improve performance and increase competitive advantage

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Using Performance Based Budgeting (PBB) system in Iran has begun. However different organizations claim to establishment and implement this system but their progress is not satisfactory. Therefore, in order to evaluate its progress, using the organization's maturity models, various studies have been presented in designing the PBB maturity model.
In this study, by reviewing the maturity reference models as well as two PBB maturity models that presented in the budgeting literature, the weaknesses of the current maturity models is presented and the new PBB maturity model is presented. After interviewing budget experts in decision-making organizations such as the country's planning and budgeting organization and the Audit Court, as well as using the elite capacity in universities such as Tarbiat Modares, Tehran, Shahid Beheshti, Al-Zahra, etc. the lack of consideration on the results section in maturity models has been identified as shortcomings in current maturity models, especially budget maturity models.
 Accordingly, the developed PBBM model is defined in terms of capabilities and results, and for the measurement of each of these two parts, a tree of indices and sub-indicators are defined. Utilizing the research model enables organizations to evaluate their progress in establishing and implementing a performance-based budgeting system by performance indicators

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