Paint sludge of automotive industries, due to having heavy metals, unbaked polymers, organic andinorganic pollutants, has been classified as a hazardous waste. For this reason, its proper disposal isfaced with many problems. Various methods yet have been developed by th More
Paint sludge of automotive industries, due to having heavy metals, unbaked polymers, organic andinorganic pollutants, has been classified as a hazardous waste. For this reason, its proper disposal isfaced with many problems. Various methods yet have been developed by the great automobilecompanies of the world to reduce the environmental impacts of paint sludge. One of the effective aneconomical methods for reduction of pollution is separation of heavy metals from paint sludge. Thepresent study was carried out to investigate the pollution of paint sludge from automotive industry, toreduce its pollution to environmental standard levels, and to recover alumina from the paint sludgethrough leaching method. After XRD and XRF tests on paint sludge, it was found that the amount ofalumina is relatively high. Separation of alumina was considered because of its economic value andvarious applications in different industries. After utilizing the common separation methods, it wasrevealed that by optimizing the parameters such as temperature, sludge particle size, and sulfuric acidconcentration through the leaching method, about 70% of alumina can be recovered
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Increasingly speed of technological change; changing in the nature of customers' demands and competition intensity among organizations, have caused organizations and companies to be in search of new competitive advantages for over the rivals and better supply of custome More
Increasingly speed of technological change; changing in the nature of customers' demands and competition intensity among organizations, have caused organizations and companies to be in search of new competitive advantages for over the rivals and better supply of customers' demands. It seemed that the movement towards the organizations which are highly flexible and speedy in response to changing and unsustainable environment is the new and critical solution. Achievement of such targets resulted in the light of organizational agility as a new concept. On the other hand, using information technology and communication increase the knowledge and awareness of staff and job enrichment and the knowledge of staff causing that they control their business and organizations professionally. Then it could be claimed that the organizations which technology is dominated, staff have more power and flexibility to deal with environmental changes. So, the purpose of this study is to examines the effects of information and communication technology acceptance on organizational agility in SAIPA Co. in Tehran. The population of this study was 505 people and the sample number became 177. The results showed that the acceptance information technology and communication have a significant effect on the company's agility. Also the study revealed that among three outer variables of user experience, organizational support and quality of information, the effects of user experience on perception of ease of use and effectiveness of acceptance information technology and communication is more than two other variables.
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This paper examines and simulates the job empowerment of the employees of the Saipa Automobile Company, and has achieved seven key factors as a major source of empowerment through library studies and field studies and the integration of theories of previous researchers; More
This paper examines and simulates the job empowerment of the employees of the Saipa Automobile Company, and has achieved seven key factors as a major source of empowerment through library studies and field studies and the integration of theories of previous researchers; then, in order to prioritize And determination of dependencies between the indices obtained from the instrument of ANP questionnaire with 5-point Likert scale were used for data collection and distributed among qualified experts. The data were analyzed using SPSS software. Weighted average of responses The results and for analyzing the interactions of variables on each other, the data entered into the soft The Super Decision has been ranked by the ANP method; the choice component is in the first rank and the other factors in the next rank; the results are obtained for a simulation model and the possibility of changing in each indicator And analyze the results of that change, are modeled through the System dynamics and different scenarios are simulated from constants and values of surface variables.
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The present study aimed to explain the role of human resources excellence strategies on staff organizational commitment in saipa Aotomotive Manufacturing Company. The research method was descriptive- correlation of SEM. Based on Cochran sampling formula and by using mul More
The present study aimed to explain the role of human resources excellence strategies on staff organizational commitment in saipa Aotomotive Manufacturing Company. The research method was descriptive- correlation of SEM. Based on Cochran sampling formula and by using multiple- stage cluster sampling method, 155 employees were selected as the reaserch sample. For data collection, the reaserchers used human resource excellence stralegies questionnaire with the reliability of α=0.94 and Allen and Meyer’s organizational commitment questionnaire (1991) with reliability of α=0.81. The data were analyzed through Kolmogorov- Smirnov test, one- sample t-test, Pearson correlation, Stepwise regression, SEM, analysis of variance, and post hoc tests. The results showed that human resource excellence strategies were significantly lower than average and employees’ organizational commitment was significantly higher than average. The structural equation modeling indicated that the research model is relatively well fitted with the data; thus, human resources excellence strategies with path coefficient of γ=0.58 have an impact on organizational commitment, but human resource leadership does not affect organizational commitment. Finally, one-way variance analysis and Dunnett t3 post hoc test showed that the state of human resource excellenence strategies was not different in different parts of the company, but there was a difference between the organizational commitment of the personnel of health and safety management department and human resoueces management department.
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The purpose of this research is to investigate the effect of transformational leadership style and in-service training on the jihadi performance of employees in Saipa Automobile Group. The current research is applied in terms of purpose and descriptive in terms of the n More
The purpose of this research is to investigate the effect of transformational leadership style and in-service training on the jihadi performance of employees in Saipa Automobile Group. The current research is applied in terms of purpose and descriptive in terms of the nature and method of data collection. The statistical population in this research includes the line and staff of Saipa Automotive Group in Tehran. The simple random sampling method and the quantitative research data were in the form of an interval scale. In order to perform inferential analysis, SPSS and Amos 22 statistical software were used. The results showed that the root mean square index value was obtained as 0.072; The model has a good fit. Also, goodness of fit index equal to 0.93, adjusted goodness of fit index equal to 0.90, incremental fit index equal to 0.94, normalized fit index equal to 0.93, and unnormalized fit index equal to 0.90 have been obtained. ; According to these cases, it can be said that the model in question has good explanatory power. which is based on the effect of transformational leadership style and in-service training on the jihadi performance of Saipa Automotive Group employees.
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DEA-based clustering approach reveals the input–output relationships hidden in
the data items of input and output. DEA-based clustering approach employs the
piece-wise production functions derived from the DEA method to cluster the car
companies. Estimate produ More
DEA-based clustering approach reveals the input–output relationships hidden in
the data items of input and output. DEA-based clustering approach employs the
piece-wise production functions derived from the DEA method to cluster the car
companies. Estimate production function for each car company by input-output
data is the benefit of this method. Thus, each car company (like Saipa) not only
knows the cluster that it belongs to, but also checks the production function type
that it confronts. It is important for managerial decision-making in different fields
where decision-makers are interested in knowing the changes required in
combining input resources.
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The purpose of this study is to identify the factors affecting the agility of the design and development of new product in vehicle platform field based on the survey method derived from the theoretical foundations and background of the research and finally identificatio More
The purpose of this study is to identify the factors affecting the agility of the design and development of new product in vehicle platform field based on the survey method derived from the theoretical foundations and background of the research and finally identification of the twentieth affecting factors. The statistical population of the research consists of the 178 experts of the product development chain of the development phases in SAIPA corp. Based on the t one-sample test, the results of the research show the maximum average in the factors of creative ideas , research and development – marketing cooperation , technological change, information updates ,agile response, design teams , innovation networks and … Suggestion has been classified in infrastructure, structural and strategies category similar to، car policy making course creating,identify and localize advanced technologies for sanction defense, knowledge based organization creating in car industry field for compensation deviation form 1404 Plan.
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