Industrial Technology Development
Year:2022 | Volume:20 | Issue:50|Papers Count:6

The main purpose of this study is to investigate the impact of digital technology on the environment and marketing capabilities. The present study is applied in terms of purpose and is in the category of descriptive correlational research. From a philosophical point of view, this research is an analogy based on the positivist paradigm. In terms of time index, it is also considered cross-sectional. A researcher-made questionnaire was used to assess the research variables. Research data were analyzed using structural equation modeling and LISREL software. The statistical population studied is managers and experts in small and medium companies in Tehran, whose number was 950 people and according to Morgan table, the sample size is 274 people. In this regard, while reviewing the literature on the subject and using library resources, the researcher has used a questionnaire to collect information. Validity was measured using the Lawshe formula and reliability was measured using the Cronbach's alpha formula. The hypotheses of this study were tested using structural equation modeling and LISREL software. The results indicate the positive impact of digital technology on marketing capabilities and marketing environment.

The most basic indicator of economic and social development in many developed and developed countries is the automotive industry of that country. ntil 2009, Iran was one of the top 18 automakers in the world and one of the largest automakers in the Middle East. In this research, the price of domestically produced cars in the market is predicted based on the dynamic system model. The statistical population is intended for collecting analytical data of 512 experts and specialists in this field, which according to Cochran's method, 412 people are considered as a statistical sample. The data obtained in the questionnaire were first extracted using the AHP method to extract the effect coefficients of the variables. Then, based on the dynamic system method, model design and simulation were performed in Wensim software. Given the current situation, if it is stable, the growth of car prices is low for 34 months, but after 34 months, a very significant growth can be due to the high impact of factors affecting car prices relative to reducing factors. Is the price of the car.

Due to the ambiguity and uncertainty in the nature of nanotechnology, its commercialization requires the creation of an appropriate regulatory system, which requires technology standardization. Technology standardization, on the one hand, provides the infrastructure for safety, health, and the environment, and on the other hand, facilitates the necessary conditions for commercialization and global competitiveness. This research aims to study the standardization frameworks in support of nanotechnology and can help highlight the strengths, and identify policy and institutional weaknesses in nanotechnology standardization, and provide a good guide to address these policy gaps for policy makers. In this research, using comparative analyses, the nanotechnology standardization approaches in Iran is compared to leading countries (United States, Germany and China). The results show that standardization needs are almost the same in different stages of the nanotechnology life cycle in countries and the difference is in how to meet the needs, implement policies and address the challenges arising from development and application of technology. On the other hand, despite the relative appropriate position of nanotechnology standardization in Iran compared to the studied countries, maintaining and promoting this position requires strengthening nanometrology infrastructure, developing laboratory equipment, bridging the gap between research and standardization, attracting private sector participation, developing specialized institutions and focus on educational activities.

Evidence from around the world shows that a small percentage of technologies have been successful in commercialization and most of them have not either resulted to a product or not reached to the market stage. This reflects the high complexity of the commercialization process. One of the main strategies to overcome problems of technology commercialization is to evaluate commercial success of the technology before the implementation of the commercialization project. In this regard, the purpose of this study was to identify factors affecting the success of commercialization of technology and to determine the relative importance of these factors for providing an assessment model to evaluate the commercial success of technology. Procedures can be developed based on the factors by which an investor could decide on capitalizing on the technology. In the first phase of this study, 38 components affecting the success of technology commercialization were extracted from the related literature. Then these components were classified in four dimensions: technical specifications, economic and financial specifications, market specifications and rules and certificates. In this phase, to refine and verify the appropriateness of the factors extracted from related literature in accordance with technology commercialization actual context and conditions in Iran's firms and industries, fuzzy Delphi method was used with the survey of elected experts including 18 experienced professionals. As a result of the effective factors refinement, 32 components in 4 dimensions were specified. Then in phase 2, the relative importance of each of components and the dimensions affecting the commercialization success were determined having a survey from the same experts group and based on Analytic Network Process (ANP) method. According to the results of phase 2, market specifications were identified as the most important dimension of technology commercialization success factor. Finally, in phase 3, by using the priority weights of commercialization success factors, an assessment model was introduced.

Studying entrepreneurship at the bottom of the pyramid faces many challenges because most studies exclude the bottom of the pyramid from entrepreneurship studies worldwide. The most important reason for this can be seen in the low importance of poverty in Western Europe and North America in the field of business and these areas should be considered the most important areas of business studies in the world. Therefore, following this necessity, the present study is based on the study and leveling of the business growth areas of entrepreneurs at the bottom of the pyramid of the Imam Khomeini Relief Committee. In the present study, we try to combine the grounded theory strategy with the topics of analysis in soft operations while identifying the variables involved and leveling them. The philosophy is the interpretive type with a qualitative approach. Evaluation and measurement performed by a questionnaire (sample size of 10 business experts based on the targeted sample). The results after DEMATEL analysis and interpretive structural analysis showed that the category of entrepreneurial conditions as the most important variable of the set of eight categories of business is the bottom of the pyramid in the relief committee. This category was the most important independent variable of the set, which along with the variables of interactive facilitation management, interactive facilitation level, and facilitation management introduced as independent variables that result of their interaction is the formation of four outcome variables, namely, facilitation consequences, other factors affecting facilitation, facilitation structure, and facilitators of facilitator formation as dependent variables.

Today, by advent of major changes in the economic –social environment of world, the air transport industry is also experiencing fundamental changes. This industry in Iran, because of severe international sanctions, increasing demand, need to develop better and more air transport, as well as long-term effects of aircraft manufacturing technology, has its own complexities. One of the planning requirements in any industry is corrected anticipation for future needs of the industry. To predict fleet needed to be considered required things such as economic growth, population growth, state of other means of transport, the existing fleet and how to provide the required Fleet. These combine to form a complex and dynamic system. Therefore, a suitable approach to predict the behavior of these systems is required. In this article, first identify dynamics of the industry and then predict the number of fleet required in air transport for Iran's aviation industry in1404. In other word, by modeling air industry and then validating model, we have discussed about behavior of airline industry's fleet number, under various scenarios. The following represents the output of simulation models: 1) the aviation industry demand is growing due to economic growth, population increases and the bad state of other means of transport, 2) In 1404 the number of aircraft required to per capita 3. 4 times be 322 and 5 times is 428 fleets. Although the need for fleet and demand is increasing, but ultimately demand in the long-term is decline because of various reasons including limited Iran's market