jalil gharibi

Today, with the advent of technology businesses and the formation of a knowledge-based economy, the importance of technology valuation has increased. A wide variety of factors in the form of a causal system will affect the issue of technology valuation. However, a significant portion of the feedback can appear over a period of time and with a not necessarily linear behavior. Therefore, the analysis of a set of factors affecting the category of technology valuation in the form of a systemic and at the same time dynamic view can affect the efficiency and effectiveness of relevant decisions. Therefore, in the present study, due to the dynamic nature of the decision-making problem and faced with various evaluation criteria in the process of analysis and selection of technology evaluation strategies, a combined analysis method based on the dynamic systems approach and multi-criteria decision-making is presented. The proposed model has been implemented to evaluate the technology of the Teflon container manufacturing industry as a case study. The results indicate the efficiency of the proposed dynamic model in analyzing the relationships between variables that have a direct and indirect impact on the issue of technology valuation. In addition, using the TOPSIS and analytical hierarchical process methods, strategies based on the simulation results are evaluated and finally prioritized.

The purpose of this study is to investigate the role of customer clustering in the design of an ethical and targeted marketing model in Internet of Things (IOT) Technology Services Companies.

The research method is applied, exploratory and mixed (qualitative-quantitative). Qualitative section: 15 people of sales and marketing managers of IOT companies, were selected for in-depth interviews by targeted and snowballs methods. In this phase used entropy and VIKOR decision-making techniques. The software used in this phase was Max QDE. Quantitative section: In this phase, all the customers of the studied companies were included, and due to the unlimited nature of the society with Morgan's table, 384 people were selected as the sample size by non-random and available methods. The data collection tool in this section was questionnaire, which used Cronbach's alpha to examine the validity of the questionnaire. In order to analyze the data, the exploratory factor analysis method and Partial least squares structural equation modeling (PLS-SEM) with Smart-PLS2 and Liserl software were used.

Qualitative section: In this phase, four clusters were identified: communication factors, ethical and behavioral factors, individual factors and economic factorsQuantitative section: In this phase, the model obtained in the first phase was quantitatively examined and validated and approved.

The results showed that four main clusters: communication factors, ethical and behavioral factors, individual factors and economic factors are dimensions of targeted marketing and customers are classified according to their characteristics. So, these companies should pay attention to these items as methods for sales promotion.

The policy cycle is not complete without policy evaluation. It has been more than eight years since the implementation of “knowledge-based companies supporting law”, and it is time to evaluate the outcomes and achievements of these policies. Due to the lack of clear indicators for this evaluation, this study tries to develop a set of related indicators by studying the theoretical foundations, experiences of other countries and holding some expert panels. Then, after collecting and preparing data, some of the most important indicators were calculated and the effectiveness of the programs was evaluated. In other words, this study is an ex-post effectiveness assessment based on the collection and analysis of objective data from sources such as corporate tax returns, knowledge-based companies database, evaluation reports of agents of the Vice-Presidency for Science and Technology and the Real Estate Registration Organization of Iran database; So has avoided subjective judgments. Most of the data used in this paper were related to the years 1393 to 1396. The indicators have been calculated in different ways for consecutive years as much as possible to provide more comparability. The results show that policy tools to facilitate customs affairs have the most effect, and tools aimed at human resources and establishing accounting procedures have the least effect. It is difficult to monitor the effect of tax policies on increasing R&D activities, but they had a significant effect on reducing corporate costs compared to other tax exemptions.

Choosing appropriate approach to brand name is on of the important factors influencing new product success. At first glance it may seem that it is better new products supplied with a new brand to cover early adopters. But about so innovative product, risk causes this approach be not efficient. In This research, using survey and a questionnaire, comments of 170 Tehran's big store's consumers about cleaning and hygiene products, collected. The main question of research is: "what are the consumer models for choosing a new product regarding its brand name?". Results show that early adopters choose radical innovation with new brand and current products with current brand, but there is no similar pattern for incremental innovations. In the section of other adopters, current product with current brand name and incremental innovation with brand development are rational, but about radical innovation, there is two contrasting pattern: current brand to reduce risk and choose the product, and completely new brand to distinguish new product from current product and not choose it.

Acceptance of information technology is very important for technology success in a community. Connected Vehicle Technology (CVT) is one of the new information technologies in Iran. forecasting the acceptance of this technology is very important for policy makers and investors. Thus, this paper based on UTAUT model of acceptance and a survey about taxi drivers tries to evaluate acceptance of Connected Vehicle Technology (CVT). for data analysing, using SPSS software, "t" test and ANOVA were used. briefly Results show that ragarding UTAUT model, performance expectancy and social influence are good but effect expectancy and facilitating conditions are not very good.

Necessity and importance of energy in state economic, social, and political structure and stability of and terminable fossil resources have been centerpiece of attention to energy issue in last few years. Urban railway, as one of the main pillars of urban economy, has increased the importance of this sector based on mass transit with advantages such as economic savings in fuel consumption, preventing air pollution, reaching environmental standards, and creating social culture and discipline, and it has been followed by continuation and development of rail transport sector in the country. In this research, optimization of energy consumption in urban rail transport has been investigated and some strategies have been presented in this regard. For this purpose, 160 metro experts, who had direct relation with establishment and implementation of energy management system in Tehran Metro Operation Company, were considered as population. By using Morgan table, 113 of them were selected as sample by simple random sampling. To collect data, library ad field studies, interview with related experts, and researcher-made questionnaire containing 22 questions were used. To analyze data, SPSS software, exploratory factor analysis, and Freidman test were used. In order to identify current situation in energy management (based on ISO 50001 standard), general measures Tehran Metro Operation Company in current situation, including contract demands of electricity consumption were detected. However, by using factor analysis, 11 factors were identified and ranked in the field of energy consumption optimization. Appropriate information ranked the highest and encouraging suggested pland ranked the least.

Technology diffusion is one of the most important goals of innovation systems, and of course a crux especially in developing countries. Renewable energy technology sector, seriously has the problem of technology diffusion, therefore in recent years, Iran has supported the use of renewable energies. In this paper, the diffusion of renewable energy technologies has been studied. Regarding suitable published sources, it is tried to identify and analysis valid and reliable texts, using grounded theory method. The results revealed a model includes 4 factors: technology supply, demand pull, investment attractiveness, and regulatory conditions.

In the past two decades, the emphasis on policy formulation and planning for the development of science and technology in Iran can be found in the words of officials as well as upstream documents of the country. It seems, however, there are a few comprehensive studies which criticized the science and technology policies in the previous five-year development plans. By an exploratory and a descriptive approach and utilizing of quantitative and qualitative content analysis to extract and describe the data, this research has attempted to examine all of Iran’s development plans after revolution. The result of this pathology is presented in the three main categories, namely, structural analysis, quantitative analysis and qualitative analysis. Finally, based on the results of the research, some suggestions for better formulating the provisions of the sixth development plan in the area of science, technology and innovation have been expressed.

This paper deals with identifying and ranking influencing factors in technology value، in technology exchanges or licensing technology. After exploratory studies in the field of technology valuation models and studying the literature of the subject of this research، researchers identified a relatively comprehensive set of technology valuation indicators. Then، by utilizing the experts’ opinions and analyzing the data، with Binomial and Friedman exams، determined the importance ratios of these indicators form the buyers’ viewpoint in automotive industry. Results showed that the indicators related to the benefit dimension and content of the contracts’ dimension have had the maximum importance in technology value estimation. Finally، a real case was valued by utilizing the identified ratios. Technology valuators and technology exchange contractors، generally، and participants in automotive industry، specially، can use the results of this research.

So far, many methods and approaches are introduced and used for technology valuation. Some of these methods use complicated mathematical computations, named quantitative methods, to identify value of technology while qualitative methods are less based on these computations. This article is a review of concepts and methods in technology valuation, so explanation of qualitative methods such as econometric models, brainstorming or Delphi method is avoided. All of the contents are explained in two parts. The first part of the article talks about some primary concepts in technology valuation and the second one introduces the most important and well-known methods and analyses them to some extant, respectively.