پژوهشنامه مدیریت اجرایی
سال پنجم شماره 9 (بهار و تابستان 1392)

Increasing the speed of data transfer and rapidly changing environment caused enterprises to pay more attention to Information management. One of the issues related to information is how to receive, maintain, and forget it in a conscious and unconscious form. So, the main objective of this research is identifying the importance of effective factors on organizational forgetting, hence the main purpose will be prioritization of effective factors on organizational forgetting. One of the oil and gas companies in Pars Special Economic Energy Zone has been studied. Fuzzy analytical network process with the non-linear programing approach was used to prioritize the effective factors on organizational forgetting. Comparing to other prioritizing methods this method is used because the assumptions were more compatible to the real situations of decision making. In this research, 16 factors were identified as effective factors on organizational forgetting that categorized in four groups i.e. environmental factors, believes, processes, and physical procedures. The research results show that among these four categories, physical procedures and environmental conditions have a more important effect on organizational forgetting and then operational processes and believes follow respectively.

This research tries to study the absorptive capacity and knowledge transfer concern and its influence on the performance of holding companies. The research is an applied one, using the correlation method. The population comprises executives and middle managers of TKHK-IKCO corporate headquarter and affiliated companies. The questionnaire is used to collect data. We used confirmatory factor analysis, structural equation modelling, path analysis and qualitative indicators of structural model for data analysis and hypothesis testing. The results indicate that the absorptive capacity has a significant and positive effect on knowledge transfer and performance, but knowledge transfer performance is faced with a deficit. The model outputs indicate good fitness of the model. Finally, recommendations for improving knowledge transfer performance are presented.

In the complex and competitive world of business, appropriate strategies are essential for the success of a company. Understanding the organization's mission and objectives, environmental and organizational characteristics, organizational capabilities and resources and evaluationg the powers and abilities of competitors are all inevitably important for a business to succeed. The main challenge for organizations’ managers is to develop and implement the right strategies..Findings indicate that, in spite of proper formulation, a gteat number of strategies fail in the implementation phase due to the limitations of resources and lack of companywide understanding. On the other hand, a large portion of resources are inefficiently allocated to the activities which are not strategically important. This article, based on SWOT, BSC, QFD and EFQM techniques, presents a solution for the problem of prioritizing strategic plans and then develops a framework for strategy formulation in the Rashed Institute of Higher Education.

Modern techniques for measuring performance have divided into two areas of parametric and non-parametric borders and each of them has special capabilities and limitations. Meanwhile, DEA, i.e. data envelopment analysis, is the most common and most widely used approach. However, this technique has some shortcomings such as complexity in determining the type of returns to scale and the deviation of the border if there are random effects. To deal with these problems, the approach of using neural networks to estimate the efficiency frontier is helpful. Because this view requires no special default, and estimates the production functions with high precision and has the ability to operate in non-linear contexts. Therefore, in this study, the neural network capability in estimating the efficiency frontier compared to the DEA efficiency frontier. For this purpose the performance of 85 branches of Tejarat Banks, in Mazandaran province, were calculated and compared using neural network and data envelopment analysis (CCR and BCC models). Based on neural networks, just the performance of the central Amol branch was 100 percent and DEA also recognized this unit as efficient. Comparisons revealed that a similar way exists in both strong and weak units and there is a strong correlation relation between rating and performance scores provided by the two methods. At the end, Improvements in the efficiency of inefficient branches based on the border of the neural network were introduced.

This present research has been done to analyze the causal model of the relationship between servant leadership, spirituality in the workplace and social capital. The method of the research is descriptive corelational. The population includes the whole national oil products distribution company in Iran, Urmia, district staff, a sample of 153 staff was chosen randomly. The data has been collected using three standard questionnaires i.e. the servant leadership according to Organ models, the spirituality in the workplace questionnaire according to Milliman et al. model and the social capital dimensions questionnaire according to Ghoshal & Nhabiet models. The research data have been analyzed by LISREL and SPSS softwares. The result of structural equations showed that the direct effect of servant leadership on social capital (0/39) is positive and significant, the direct effect of spirituality in the workplace on social capital (0/58) is positive and significant, the indirect effect of servant leadership on social capital mediated by spirituality in the workplace (0/27) is positive and significant and the total effect of servant leadership on social capital (0/76) is positive and significant.

Social capital and life cycle of organization are the fundamental concepts in organization which in recent decades has been of interest to scholars in various fields. Organizations can more easily achieve the targets of growth stage by using these two concepts. The aim of the study is to determine the influence of social capital on the life cycle based on model equations structure in the hospitality society in the west of Mazandaran province. Method of data collection was a questionnaire, which had the 79 % reliability factor. Using the factor analysis test and structural equation modeling the hypotheses were tested. The results show that partnership, mutual respect and social solidarity variables have more cohesion with social capital. Also among all the scales, the complexity scale has a higher correlation with grades and has a greater weight in the calculation for the hidden variable of organization growth. At the end of the paper the above mentioned cases are summarized.

In today’s uncertain environment, Companies must continually offer solutions for dealing with global competition and quickly meet customer demands. The purpose of this research is to investigate the effect of intangible capital on marketing capabilities and firm's performance. In this regard, considering that the research population size is limited, using simple random sampling, questionnaires distributed among 143 companies in the industrial town of Semnan were examined. To examine the validity, confirmatory factor analysis and to investigate the hypothesis, covariance matrix analysis was used. Results reveal that human capital and information capital have a positive effect on marketing capabilities and thus improvement of marketing capabilities can improve a firm's performance. Another result of the research was an indirect effect of information capital of firm's functionality through intermediary variable of firm's marketing capabilities.