پژوهشنامه مدیریت اجرایی
سال نهم شماره 17 (بهار و تابستان 1396)

The investigation of influential factors on fundraising shows that the key factor's strengthen and tackle of the weaknesses and shortcomings of these areas play an important role in the prosperity and development of societies. Since the attracting investment problem is not well-defined and it has complex and various factors, this study is done to determine and identify the relations among indicators of attracting Foreign Direct Investment (FDI) with soft approach (soft operation research). At first, the overall dimensions of previous researches were collected and then, to be close to local conditions of Bushehr Province (Capabilities and barriers of attracting foreign investment), the comments from experts and custodians of foreign investment in the province were considered. Finally, 11 indicators and 28 sub indicators were confirmed as effective factors. Also, the relations among dimensions and constructs model through Structural Equation Modeling (SEM) and factor loading were determined .Then, Interpretive Structural Modelling (ISM) to clarify relation between them was designed .The Interpretive Structural Modelling results showed the main indicators falling in six levels. The rules criteria is placed at first which means this indicator is more fundamental than others in attracting Foreign Direct Investment. The results of Structural Equation Modeling eventually proved the aforementioned relations.

The most important issue in contemporary organizations is dealing with unpredictable, dynamic and ever changing environment. The key to the survival and success of these organizations refers to the power of quick and effective accountability to the changing demands of customers. That's why many scholars recognize agility as the key to success. Many definitions as well as various factors for agility have been considered. In this study, it has been tried to identify main factors of agility by studying the conducted researches and the literature in this area, Due to the increasing importance of knowledge based companies whose existential philosophy is the use of knowledge along with the experience and expertise it was decided to identify agility factors by experts and integrating the opinions of experts and local agents and by the help of FDEMATEL technique to determine the relationship ,the effectiveness and impact of these factors in these companies can be examined. By examining the results from seventeen major factors that has been detected for agility it was specified that the ability to respond to customer's demands, the ability to respond to environmental issues and labor flexibility are the most important factors and labor flexibility and knowledge variables are the most influential factors (the cause) and flexibility of product models and the speed of service and products delivery are the most affected factors (the effect).

The ultimate goal of any improvements that provide higher quality product or service is customer. The most common methodology, Six Sigma and Lean Six Sigma methodology is DMAIC. This methodology based on five phases: defining the problem, measure, analyze, improve and control is defined. In the meantime one of the most important phases, phase analysis because in this phase of the root causes of potential due to its effects on the quality of critical factors are identified and defined. The purpose of this study is to assess the impact of process variables on the length of time in Lean Six Sigma methodology using fuzzy regression model was. The results of the study showed that all five variables known to influence the length of time to process. The results also showed that three variables: inadequate staff skills, and lack of necessary equipment, tools, and equipment breakdowns and tools necessary to have the greatest impact on the independent variable Also among these three variables inadequate staff skills, influential independent variable on the dependent variable. According to the research data and the number of variables, fuzzy regression model detailed and correct analysis of the impact of independent variables on the dependent variable was provided.

Cognitive biases and irrational behavior may be derived from collectively beliefs and values or dominant society culture. The incidence of such behavior could cause inefficiencies of capital markets, especially by investors and in decision-making process, in the stock market. In this regard, the present study, Future Oriented and Uncertainty Avoidance as the two dimensions of national culture were selected based on previous studies. Cognitive Biases in the form of five components,Overconfidence, Self-Attribution, Recenc, Ambiguity Aversion & Conservatism as a mediator variable and irrational behavior includes four dimensions, Herd Behavior, Gamblers, Law of Small Numbers & Home Bias, as a dependent variable were determined. The study sample included 424 individual investors from the stock exchange.To collecting data; Likert 5-point scale was used. Reliability and validity was confirmed respectively through Cronbach's alpha coefficient, content and construct validity using confirmatory factor analysis.In order to model fitting and testing the hypotheses, SPSS18 and Amos was used. The results show that the dimension of Future Oriented have a significant relationship with cognitive biases (significance coefficient 2.126) and irrational behaviors (3.448) while dimension of Uncertainty Avoidance was not significantly correlated with cognitive biases (-0.87) and irrational behaviors (through the mediation of cognitive biases significance coefficient 2.127).

Organizational readiness assessment to implement improvement projects with maximum acceptance within the organizations have always been a concern for managers. To this end, several methods have been developed for different types of projects such as knowledge management, integrated systems implementation, electronic learning systems and etc. In this paper a new model is developed to evaluate the organizational readiness for talent management system implementation. Firstly, influencing parameters on the organizational readiness are collected through literature review and experts knowledge acquisition. Then the parameters are categorized and a hierarchical structure of parameters is built. Constructed structure consists of four levels in which organizational readiness to implement talent management is placed in the first level. Organizational readiness degree is assessed based on values of four parameters positioned in second level. In the same way, the values of parameters in the second level are calculated using parameters in level three and finally parameters in level four are employed to evaluate third level parameters. Subject to the qualitative nature of the problem and lack of explicit functions to formulate the relations between the level of organizational readiness and the influencing parameters, the fuzzy rule base is employed. Fuzzy rules are made by using industrial and academic experts’ knowledge and the resulted system is implemented in a food distribution company as a case study. Readiness degree of this company is calculated as 0.463, which shows medium readiness of this organization for talent management.

The important role of centers of growth and technology in achieving sustainable development and technology has taken these centers into consideration, On the other hand, innovation is also a requirement for sustainable development and technology. This research seeks to provide a model for science and technology centers and to demonstrate its link with sustainable development and technology, with the role of mediator of growth and innovation. The research method is combined and the statistical population is the experts of Mazandaran Free universities. Sampling in the qualitative, purposeful and quantitative section is random. In the qualitative part of 14 people and in the small part 159 people participated in this research. Information gathering tool, interview and questionnaire.Descriptive statistics were used for data analysis and exploratory and confirmatory factor analysis was used in the inferential part. To evaluate the validity of the questionnaire, factor analysis was used. Smart PLS2 software was used to investigate the relationships. The results showed that these centers have a positive impact on innovation and it has a positive relationship with the development of technology and sustainability.

Today, knowledge-based assets such as intellectual capital as a key strategy to achieve success and survival in the competitive environment and has become unpredictable. The aim of this study is to assess the effect of intellectual capital on organizational performance through organizational agility and competitive advantage in one of the country's power plants. In terms of goal the research was causal and in terms of collecting data it was descriptive-respectively. The participants of this study were 230 employees of power plant that were selected stratified sampling method as the sample of this study. A questionnaire was used to collect data and to check the validity of Content and construct validity and Cronbach's alpha was used to determine reliability. To analyze data and test hypotheses was based on structural equation modeling (SEM) and with SPSS 21 and Amos 22 software. The results showed that intellectual capital is a positive and significant impact on organizational performance directly. Competitive advantage and organizational agility as well as the role of mediator in the relationship between intellectual capital and organizational performance, finally the general pattern research approved. Therefore, Organizations that want to develop their competitive advantage and organizational agility, should invest on effective implementation of Intellectual capital.