Building organizational culture and improving organizational software are among the essential factors that influence organizational processes' improvement. Organizations have learned from experience that improving organizational processes, especially organizational software, can lead to better management of organizational change and has a positive impact on organizational performance. The present study examined the impact of knowledge sharing in various organizational cultures, the success of the software upgrade process, and how managers support software improvement. It is a descriptive, survey, and correlation study in terms of purpose. In terms of classification based on the result and application, it is an applied research. For the experimental investigation of the research model, SPSS 25 statistical software, and PLS partial minimum squares were used. The study population includes 220 employees of Bandar Anzali Customs Office, and its statistical population is 136 people based on Morgan's formula. The results show that group organizational culture has a more robust and better effect than hierarchical culture in the success of software implementation. Besides, group culture and hierarchical culture have a connection with software improvement success and guarantee the support of the organization's managers and software implementation. It was found that sharing knowledge is the key to improving group culture mediation software and supporting senior managers in the success of software improvement.

The aim of this paper is to prioritize projects by a new approach. For prioritizing EFQM projects, self-assessment is conducted by industry experts and then, improvement projects are determined. For these projects, “prioritizing” is the main problem in organizations. Because of resource constraints, those projects should be selected and implemented that provide most benefits. Selecting the appropriate indicators, such as "quantity of required resources", "impact on stakeholders" and "probability of project success" can significantly influence selection of projects. These indicators have been considered in the Try-Success matrix. Also, since each project is depended on the EFQM’s criteria, the weights of the criteria have been localized. In the designed software of this study, the scoring mechanism is based on Try-Success matrix, and the local weights are determined by Fuzzy-group AHP. In this paper, the application of software in prioritization of projects has been also addressed. The output of this approach together with software and investigation, are the determined projects that have higher priorities and provide considerable improvement to the industry.

As time evolves, the demand of the markets becomes much more dynamic and for meeting client’s expectations and have the edge over others, changes in existent processes are compulsory. Thus, Improvement Initiative (IMI) provides guidelines in achieving organizational goals which is to optimize profit and enhance the productivity. However, several cases have been reported with low rate of success of the IMI’s practice in which they have failed to achieve the intended improvement result and one of the factors is lack of awareness of the IMI’s Critical Success Factors (CSF). The process to identify the CSFs of an IMI is significant as it allows organizations to focus their effort to make sure they are ready and qualified when implementing the respective IMI and prevent improvement failures in the future. In addition, lack of reference regarding the reference model of comprehensive CSFs for an IMI from existing literatures allow a new study to bridge this research gap. Therefore, this paper sets out the findings of reviewing and gathering latest critical success factors and thus developing a reference model that incorporate lists of CSFs for each IMI with their attributes. This study incorporated Positivism as the research perspective and adopted quantitative research method to meet the objectives. Via extensive systematic literature review (SLR) procedures, a total of 72 publications were used to extract information needed which later enable the conceptual model development for IMI selection of comprehensive critical success factors as a reference support for decision makers. To ensure generalization of the model, the quantitative research method was adopted with a total of 137 respondents’ feedback of survey were gathered from various organizations. The reflective-formative hierarchical model was then developed and analyzed using structural equation modelling (SEM) via Smart PLS software to test the model of CSFs for IMI. As the final result, six out of nine CSFs with 39 attributes were considered as critical factors when choosing the most suitable IMI to be adopted in an organization. As a conclusion, this research provides organizational readiness when starting to deploy IMI by providing comprehensive critical success factors as a reference point to aid and prepare practitioners that will lead to the failure of improvement in their business.

Achieving e-commerce success is influenced by a variety of interrelated activities. Identifying, analyzing and prioritizing these activities enable decision-makers firstly to evaluate the current success state of Electronic Commerce (EC) businesses more accurately and then to develop an efficient improvement plan to allocate limited resources to achieve a higher level of success. In this research, a Fuzzy Cognitive Maps- analytical hierarchy process (FCM-AHP) approach is used to address this issue by (1) determining interrelationships between influential activities, (2) determining how much these activities influence each other and the overall success, and (3) prioritizing activities to develop a sound improvement plan. In this approach, the FCM technique is used to indicate all possible causal interrelationships between activities and consider all feedback loops between them. Then, the AHP technique is used to determine the contribution weights of activities to the overall success. The obtained management matrices that make it possible to categorize influential activities and the results of improvement scenarios help the decision-makers to develop the most efficient improvement plan and gain the maximum benefit from the allocation of limited resources. An empirical study is implemented to serve as an example to indicate how the approach works.

The main goal of research has been to design an Adaptive Nuero-Fuzzy Inference System for evaluating the Implementation of Business Intelligence Systems in software industry. Iranian software development organizations has been facing a lot of problems in case of implementing Business Intelligence Systems, this system would be helpful in recognizing the conditions and prerequisites of Success or failure. Organizations can recalculate the neuro-fuzzy system outputs with some considerations on various inputs to figure out which inputs has the most effect on the implementation outputs. By resolving the problems on inputs, organizations can achieve a better level of implementation success. The designed system has been trained by a data set and afterwards, it has been evaluated. The trained system has reached the error value of 0.08. Eventually, some recommendations have been provided for software development firms on the areas that might need more considerations and improvements.

Today, employees are one of the most important sources of success for organizations, and identifying the factors that affect employee performance has become one of the main tasks of managers. The purpose of this study is to investigate human resource management indicators that affect employee performance by using meta-analysis method with using CMA software. The statistical population of the study included all studies that examined the factors affecting the improvement of employee performance. A collection of studies was comprised of 252 studies. Aaccording to the standards of the meta-analysis approach, 165 studies were excluded and 87 studies were selected. The results of data analysis showed that job satisfaction, organizational commitment, compensation system, quality of work life, leader-member exchange, organizational justice, organizational support, performance evaluation system, organizational culture, Creativity and innovation, collaborative management, education and rehabilitation programs, meaningful job, human resource empowerment, job security, organizational climate, autonomy, career development and job motivation have a positive effect on employee performance improvement. The effect of organizational policy variables, role ambiguity, job redesign, job demands on employee performance improvements was not confirmed.

Productive cooperative is an appropriate essential for agricultural situation improvement in the cause of inefficiency of semi husbandry system in creating of mobility and dynamic of agricultural sector. Also productive cooperative play important role to redistribution of gained benefits from agricultural sector growth، creating productive and dynamic employment، people participation development، decreasing of investment risk، declining of production governmental costs and … The purpose of the present study was to survey of factors affecting the success of rural production cooperatives in Parsabad County. The target population in the study was the 204. Also at this research was selected the 100 rural production cooperatives members in the rural areas of Parsabad county by way random sampling via from Cochran’s test. In other word، for measuring of success amount of rural productive cooperation was used factors analysis model in Parsabad County. At the end، result showed that the most important of affecting factors of productive cooperative success in the rural areas are component four such as (inside management improvement، motivational economical and participations abilities، improvement of economical and education and monitoring) that the variance and explained accumulated variance number is (60. 53) via this four factor.

The aim of this qualitative research is to identify the outcomes of vigor. Since 2000, in UN’s view, such variables as vigor, life expectancy, gratification and satisfaction are computed as key variables in determining nations’ development level which shows the importance of studying vigor. The methodology is an Exploratory Study in terms of purpose and it is a Qualitative survey in terms of data collection method. Identified outcomes include personal outcomes, family outcomes, organizational outcomes and social outcomes. Personal outcomes include such concepts as personal success improvement, life working quality improvement, receiving more social supports and health enhancement. Family outcomes include calmness increase in family, vigor increase in family environment, family members’ health improvement, family satisfaction enhancement and family success improvement. Identified organizational outcomes include such concepts as social capital development, citizenship behavior improvement, productivity enhancement and customer satisfaction improvement. Ultimately, social outcomes include a happy society and a happy generation.

Natural resources general organization of Mazandaran Province on the strength of rehabilitation & transfer law (approved in 1980 and its executive regulations due to 31 & 32 issues) have transferred national lands to some persons and legal sectors in order to unemployment, poverty and Natural resources degradation reduction and also socioeconomic condition improvement by industrial and agricultural activities in rural communities. Now, after 3 decades of approval and execution of transfer process, we decided to analyze socio-economic effects and its success level in Mazandaran Province. Among the statistical society in present study including 586 transferred cases from 1993 to 2013, 169 samples were randomly selected by Morgan table and these cases were interviewed directly. Our considered variables include: (a) Natural resources area (b) employment level (c) success & efficiency factors. After collecting and arrangement of field data by questionnaires and analyses them by SPSS18 software, the founding were presented as charts and tables by Chi-square method. The results have show that 4709 hectares of national lands have transferred up to now and 56% of this process were allocated to agricultural activities and we finally found that the execution of transfer process have no worthy influence to its targets.

The Islamic Republic of Iran, due to its connection with free seas, has a great importance for the transit of goods. Pathology of the Present Status of Multimodal Transit and its Strategies for Success in Iran, are the main goals of this research. In this research, using grounded theory and deep interview methods, identifying the factors affecting the success of multimodal transit in Iran and it has been studied the Iranian transit systems based on the above model and how to improve it. The statistical community is composed of experts in transportation and transit of goods, traders and Merchants and analysis of information, done with MAXQDA software. With this research, the causes and factors of the lack of development of Iran transit in different areas were identified and classified into six categories and 32 main factors and some solutions suggested for their improvement.