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Showing 9 results for Rajabzadeh ghatari


Volume 7, Issue 4 (2-2018)
Abstract

Sustainable competitive advantage is crucial for organizations to survive in modern competitive environment. Since competitive advantage based on creativity is one of the most crucial factors for the survival of current organizations, factors influencing organizational creativity processes should be considered at organizational decision-making level. As many people and factors are involved in organizational creativity, decision-making becomes complex and unstructured real world issues with chaotic systems behavior, and consequently, hard operation research methods are not able to represent and solve it properly.  Soft system methodology is one operation research’s methods applied to represent, structure and solve complex problems. Therefore, in this study, which is part of a PhD thesis, in addition to explaining the soft system methodology’s steps, we describe how the first four stages of the Checkland soft system methodology were applied to represent and structure the sustainable organizational creativity problem in detail. The conceptual model was created based on information gathered from experts and specialists in organized meetings and in-depth interviews who were exposed to data previously collected in reviewing individual, group and organizational creativity existing research results. At the end of these meetings and interviews we designed and developed a rich picture, root definitions, CATWOE analysis and the conceptual model for organizational creativity.



Volume 8, Issue 3 (3-2019)
Abstract

Abstract

This research aims at presenting the IT  maturity model in Iran's governmental organizations. This research is an applied one in terms of the objective and is correlational and descriptive in terms of the nature. The research has bad been conducted in a survey method. The statistical population of this research included senior managers and IT experts of organization, which 27 persons were selected non-randomly and by judgment sampling method. A questionnaire based on the combinational model (including 24 main components and 64 questions) has been used to collect information. The opinions of the professors and experts have been used in order to confirm the validity of the questionnaire and the Cronbach's alpha has been used to measure the reliability of the questionnaires. Descriptive statistics including mean and standard deviation have been used in order to analyze the questionnaire. Also, one-sample t-test has been used in order to compare the mean of components (questions) with the mean of data. This test has been performed with 95% confidence level and a 5% error rate. Based on the results of this test, the components have been classified into three categories less than the mean (significant), in the mean (insignificant) and more than the mean (significant). Research findings show that the registration documents organization is in the level 2(awareness) in terms of the maturity. This level also indicates that this organization is aware of the situation of IT and its needs in this area and is planning to improve it.



Volume 11, Issue 2 (9-2021)
Abstract

As age grows, changes in the characteristics of the mental system, personality, mood, as well as the physiological aspects of the managers and changes in their behavior are created. These behavioral changes in managers can be externalized and show it in organizational behavior. The aim of research is investigating and   describing the role of personality development due to the increasing age of managers on organizational climate. The method used in this study is causal-comparative method and 72 companies senior managers and their employees have been studied in two groups. The results showed that the characters of narcissism, perfectionism, excitement seeking and stress coping have changed with the age of  managers. Also, the Average test of two communities shows a significant difference on the seven components of organizational climate (Esprit, harassment, Hindrance, Intimacy, consideration, Aloofness and Thrust in the organizational climate) and in relation to the component of Production emphasis, was not significant difference in quantity in the two test group which indicates that managers of all ages emphasize production, which is the main goal of  organization. Also, the results of multivariate regression showed  that  personality components  affected on the organization's climate components.

Volume 11, Issue 4 (3-2022)
Abstract

 The purpose of this study is modeling of Electronic Word of Mouth Marketing with Emphasis on Customer Behavior and Business Improvement, In this regard, to identify and investigate the impact of various factors on the results of e-mouth marketing and Also examining the effects of successful implementation of this type of marketing on customer behaveor and Improving Electronic business. The research method is descriptive-survey, is of correlational type. In the conceptual model of the research, the independent variables of customer interaction, Electronic Word of Mouth marketing channel, Message quality and brand image With their components based on literature review Identification and research hypotheses have been developed. in order to Investigating the effectiveness of the identified components On the success of word of mouth marketing and the validity of the conceptual model of the research, Questionnaire tools and comments of users of internet sales sites in Iran have been used.The statistical sample to the unlimited statistical population it was estimated according to Cochran's formula 384, In order to review and present the final model from the structural equations approach with SmartPLS software was used. Statistical analysis of the collected data and research results show it customer interaction, Electronic Word of Mouth marketing channel, Message quality and brand image will have a positive and significant impact on the results of this type of marketing that will change of customer behavior and business improvement.

Volume 12, Issue 3 (12-2022)
Abstract

Customer Retention and maintaining customer relationships and preventing customers from Churn is one of the most important tasks of organizations in today's highly competitive markets. In this study, the issue of customer churn and customer retention strategies have been investigated. These issues have been studied through systematic literature review and from different angles such as the field of organization, degree of individualization of customer relationship management, customer segmentation, and selection of key customers, employee engagement and evaluation.
 In addition, a model based on deep learning networks has been used to predict customer churn. As a result, a conceptual framework and model is created based on the existing literature in this field and then combined with the customer churn prediction model using deep learning networks. The results show that the use of deep learning in predicting customer churn is a very effective and efficient way to solve the problem of customer retention and customer churn. This approach is not only able to accurately predict which of the organization's customers are turning away from the organization and disconnecting from the organization, but also can accurately identify the factors and parameters affecting customer churn and bring very valuable insight for the organization.


Volume 21, Issue 2 (9-2017)
Abstract

Problem definition is the most vital and important step in system dynamics approach. It is the basis for other steps of dynamic modeling and one of the main conditions in the effectiveness of modeling and its success. Considering its importance, there is scant literature on process of problem definition and attributes as well as indicators of dynamic problems. With aims to explain the problem definition, this article creates problem definition framework through the systematic and structured process by extracting the indicators and factors that determine a dynamic problem. At this point all the articles listed at the first two rounds of system dynamics research conferences in 1976 and 1981 and also 33 around of the system dynamics conference from 1983 to 2015 as well as the Journal of System Dynamics Review (SDR) and scientific databases include Elsevier, Wiley, Springer and Emerald were examined. Finally, a framework was designed with 6 indicators including structure of the problem, problem`s stakeholders, border of problem, problem complexity, dynamics and nature of the problem, which altogether consists of 24 indexes. A comprehensive framework for the diagnosis of dynamics problem is main finding of this paper.

Volume 23, Issue 3 (10-2019)
Abstract

Today, according to the international significance of sustainability, scholars aim to develop sustainability assessment models within the banking industry. Since that, the banks affect the development of sustainability within the countries both directly and indirectly. The purpose of the present study is to provide a comprehensive Assessment Model for the Iranian banking system, which evaluates the bank's sustainability through different aspects. Therefore, as implied research with a descriptive mixed method, the study employed a Meta-synthesis approach in order to obtain codes, themes, and categories of sustainability in the banking industry. In the following, ISM structured a network of relationships between the themes as a model while ANP helped to determine the weights of the themes and categories. Ultimately using the content analysis, the sustainability information of the banks extracted to feed the provided model, which lead to the sustainability computation of 27 governmental and non-governmental Iranian banks. As a result, Pasargad Bank ranked first, while Ayande and Melli Banks ranked second and third respectively. Moreover, it became clear that the average sustainability score of non-governmental was higher than governmental banks, while most of them neglect the environmental issues, which needs to be considered in their strategies



Volume 24, Issue 4 (12-2020)
Abstract

This paper attempts to use VSM as a design and diagnosing tools in the banking systems that are at the risk of losing their business because of dynamic changes in their business. Rapid changes in today complex environment cause organizations at the risk of bankruptcy. Systematic action research did at one of the major banks in Iran. According to VSM subsystems, the diagnostic results show some failure detected for adaptability in this bank. After diagnosing, the model of the viable banking system proposed

Volume 24, Issue 4 (12-2020)
Abstract

The systems dynamics emphasize the participation of individuals in modeling as well as modeling evaluation. In recent years, participative model building methods have been developed, both individually and in groups, as well as crowd model building, which are based on the mass participation of people through the Web 2 and social networks. However, so far no systematic study has been done to evaluate the effectiveness and compare these modeling methods. On the other hand, in the development of modeling methods, especially crowd model building; special features and characteristics have been enumerated for each of them, which needs to be carefully examined by evaluating them. Therefore, this article seeks to systematically evaluate and compare the crowd and group model building. For this purpose, these two modeling methods have been studied through an online questionnaire. The results showed that the participants acknowledged the positive effect of crowd and group model building sessions in achieving the goals as well as the importance and usefulness of these sessions. However, the results showed that crowd model building is more useful in recognizing different dimensions of crowdfunding with a divergent view, dissemination of topics, and culture building in society, while group model building has been more useful in deepening peoplechr('39')s knowledge of the dimensions of crowdfunding with a convergent view, increasing the commitment of individuals. The results also showed that the diversity of individuals and the informal structure of the sessions have a significant effect on the success of crowd and group model building.

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