REVIEWING THE EFFECTS OF TECHNOLOGY MANAGEMENT ON INNOVATION IN AHVAZ JUNDISHAPUR UNIVERSITY OF MEDICAL SCIENCES, IRAN

Technology management (management of technology or MOT) requires an extensive spectrum of capabilities in operational environments ranging from research and development to financial affairs (services) marketing and every other traditional management activity. Technological management needs to have an interdisciplinary approach and therefore requires a collection of different disciplines. While traditional management disciplines are pursuing how to allocate resources, technological management is not forced to allocate resources. In fact, it aims to further access and dominate the formation of the effects of technological variables on a business. Our country is classified among developing countries and technology transfer is recommended as a shortcut for access to state-of-the-art technologies, providing that technology transfer actually happens and Indigenization of transferred technologies to be considered. The present study examines the effects of technology on innovation in Ahvaz Jundishapur University of Medical Sciences. It is performed based on a descriptive study. For this purpose, four hypotheses have been raised in the study and the data required for this research were collected from 298 employees and managers from the university. The most important result of the present research is that the deployment of technology management and R&D (research and development) will lead to the promotion of quality functions and more importantly consolidation of innovation functions in the university of medical sciences. The value of Cronbach’s alpha for these 24 elements is equal to 0.935 which represented that the data have reliability (are reliable). In conclusion, the Pearson correlation coefficient test was used to confirm or reject the research hypotheses.JEL: O14, M54, O32 Article visualizations

STUDY OF THE ROLE OF BRANDS ON CUSTOMER PURCHASE BEHAVIOR (CPB)

Customer Purchase Behavior (CPB) and the use of a model to predict it are of the most important commercial goals of manufacturing, service and other organizations and of the most important factors in the formation of work and profitability. Thus, this study examined the factors affecting this component - the effect of the role of commercial brands on CPB. For this purpose, 385 people connected with trading and customers in this area (valid brands customers) of Tehran were selected through convenient sampling and completed the questionnaires. The findings indicated that the manufacturer and the intended organization brand credibility is affected by the CPB and its components, including attitude, social norms and purchasing returns, and the firm's or organization reputation is a strong predictor of CPB. Thus, brand names and their credibility play a crucial role in CPB.  Article visualizations

An assessment on dispersion of carbon monoxide from a cement factory

Background: Modeling the dispersion of pollutants from factory stacks addresses the problem of matching emissions of a cement plant with the capacity of the environment to avoid affecting the environment and society. The main objective of this study was to simulate the dispersion of carbon monoxide (CO) from the main stack of a cement plant in Doroud, Iran using SCREEN3 software developed by the US Environmental Protection Agency (US EPA). Methods: Four samplings were conducted to measure the concentration of CO in the three-stack flow of a cement factory. The input parameters were those affecting gas dispersion and included CO rate, meteorological parameters, factors associated with the stack, and various factors related to the receptor. All factors were incorporated in the model, and dispersion was modeled by SCREEN3. Results: Southwesterly winds have been dominant in the past 5 years. According to the results of this study, the highest and the lowest CO levels were estimated by the model in spring and autumn as having maximum amounts of 842.06 and 88.31 μg/m3, respectively, within distances of 526 and 960 m from the cement plant, respectively, at a downwind southwesterly direction from the plant. Conclusion: Although the maximum predicted CO levels in each of the four seasons were lower than the NAAQS criteria, the simulation results can be used as a base for reducing CO emissions to prevent the potentially significant health and environmental impacts imposed by long-term contact to such emissions

An assessment on dispersion of carbon monoxide from a cement factory

Background: Modeling the dispersion of pollutants from factory stacks addresses the problem of matching emissions of a cement plant with the capacity of the environment to avoid affecting the environment and society. The main objective of this study was to simulate the dispersion of carbon monoxide (CO) from the main stack of a cement plant in Doroud, Iran using SCREEN3 software developed by the US Environmental Protection Agency (US EPA). Methods: Four samplings were conducted to measure the concentration of CO in the three-stack flow of a cement factory. The input parameters were those affecting gas dispersion and included CO rate, meteorological parameters, factors associated with the stack, and various factors related to the receptor. All factors were incorporated in the model, and dispersion was modeled by SCREEN3. Results: Southwesterly winds have been dominant in the past 5 years. According to the results of this study, the highest and the lowest CO levels were estimated by the model in spring and autumn as having maximum amounts of 842.06 and 88.31 μg/m3, respectively, within distances of 526 and 960 m from the cement plant, respectively, at a downwind southwesterly direction from the plant. Conclusion: Although the maximum predicted CO levels in each of the four seasons were lower than the NAAQS criteria, the simulation results can be used as a base for reducing CO emissions to prevent the potentially significant health and environmental impacts imposed by long-term contact to such emissions