درخت حوزه‌های تخصصی

The purpose of this article is to measurement and testing a high performance organizational culture model in Iran's petrochemical industries.This research is of quantitative type and in terms of purpose, exploratory and data collection method is survey and from the point of view of cross-sectional time. Data collection tool is a researcher-made questionnaire whose validity has been confirmed by industrial and academic elites. The reliability of the questionnaire was confirmed by Cronbach's alpha test (coefficient of 0.815). The statistical population of the study included 8050 employees of Petropars, Jam, Lavan and Fanavaran petrochemical companies working in Iranian Petrochemical Industries. The sample size was calculated by the Cochran's formula of 385 people. 420 questionnaires were distributed and 400 correct questionnaires were collected. The sampling method is stratified random. Data analysis was performed using structural equation modeling using Amos Software. The results of statistical analysis were confirmed by confirmatory factor analysis and in terms of significance by the method of structural equations up to the level of the main categories and after confirmation of formal and content from 400 experts and managers of petrochemical industries. In the next step with a quantitative approach, the current state of high performance organizational culture according to the pattern the extract was assayed. For this purpose, mean comparison, regression and repetition tests used. The results obtained from field survey indicated that the high-performance organizational culture model was approved and dimensions of Behavioral factors, Internal bedding factors, External bedding factors and Process factors were placed in the first to fourth priorities, respectively.

Organizations face many challenges in the current unpredictable and changing business in which superiority in competition is one of their main goals. In this trend, the field of production has moved towards a paradigm called "Agile Production". If an organization wants to be agile, it must shorten the workflow of the process and provide the conditions for saving time. If a hospital is agile, it can respond when faced with internal and external changes and compete with other hospitals and provide appropriate and fast services to patients. Today, hospitals are currently trying to continuously evaluate their performance due to the increasing advancement of technology. A method in evaluating the performance of the organization is the Balanced Score Card (BSC) approach. In this, indicators measure the desired goals in the organization in four aspects of Internal process, Growth and Learning, Financial and Customer. In this approach, important aspects of sustainable development are ignored , therefore, the new method of Sustainable Balanced Score Card (SBSC) is used to evaluate the performance, which takes into account the environmental index. This study aimed to determine the factors that can be important for evaluating agility in the hospital and then classify them based on the perspectives of SBSC. In the next step, using a questionnaire and statistical hypothesis test, the effectiveness of these factors was confirmed. Then, the importance of each perspective in the field of agility was determined by hierarchical analysis, and this model was presented using the scoring method. Accordingly, the "Economic" index had the highest priority and the "Environmental" index had the lowest priority. Due to the high importance of the Economic index, suggestions were made, the most important of which is the use of long-term loans for the promotion and development of hospitals, effective cooperation, and the use of various insurance services of insurance organizations, considering inventory and tools. , Equipment, essential devices in the warehouse for greater efficiency. Regarding the innovation of this research, we can refer to the evaluation of agility from the perspective of the scorecard by considering the criterion of stability in the hospital.

The main purpose of this study is structural-interpretive modeling of industrial brand competitiveness in the petrochemical industry. This research is a qualitative-quantitative mixed exploratory research. The statistical population in the qualitative part of the research includes faculty members and experts in the field of industrial management, marketing and industrial brand, professors familiar with the subject of research and managers and deputies with experience in petrochemical companies in the country using 16 snowball sampling method were chosen. In a small part, the statistical community includes personnel (managers, deputies and experts) of the marketing and sales department of petrochemical companies in the country. For sampling, due to the small size of the statistical population and the irreversibility of the questionnaires has been used the whole number and the whole population has been considered as a sample in a small part (N = 255). The research tool in the qualitative part of the interview is semi-structured and in the quantitative part the researcher has made a questionnaire. For data analysis in the qualitative part, fuzzy Delphi theme and technique analysis has been used and in the quantitative part, ISM technique has been used for data analysis. In the qualitative part of the research, a total of 14 variables were identified as factors affecting the competitiveness of the industrial brand.