mohammadhasan cheraghali

Today, the development of research and development activities that have a high level of technological complexity is considered an important and influential factor in the development and growth of the knowledge-based economy of developed countries; Therefore, the current research was conducted with the aim of identifying the effective components on the level of technological complexity of research and development activities. This research is in the category of applied research and in terms of methodology, it is in the category of qualitative research. With the approach of data-based theory, data was collected from studying documents and reviewing literature and conducting semi-structured interviews with 20 experts in the field of research and development. By analyzing the data, first 149 variables were extracted and during three stages of open, central and selective coding, the components affecting the level of technological complexity of research and development activities were identified, then the factor of obtaining advanced technology was identified as a central category. was selected and the rest of the factors were placed within the research structures (causal, background, intervening factors, strategies and consequences) and the research paradigm model was formed and five hypotheses were proposed. Based on the results of the research, 97 components (including 19 cases of causal factors, 16 cases of contextual factors, 12 cases of intervening factors, 11 cases of central subcategories, 23 cases of strategy and 16 cases of consequences) on the level of technological complexity of research activities and Development is influential.

In today's changing environment, especially for knowledge-based companies, knowledge and technology are the basis of competition. In order to achieve their business goals, these companies must use new knowledge to play a significant role in creating and developing innovation capacities and applying it in the production process. In this research, firstly, the effective factors on the absorption capacity and innovation were extracted and using the Vensim software, the causal loop diagram and stocks and flows diagram were drawn. The purpose of this research is to investigate innovation with regard to the upward growth of knowledge-based companies. Further audit regarding the knowledge-based nature of companies, creating motivation and benefiting from external investors and venture angels to improve the capacity of attracting knowledge-based companies, providing access to global networks for full-time research and development researchers of technology-oriented companies. knowledge and increasing external knowledge sources, the importance of increasing the realization of research and development strategy goals and the technological competences of companies, compensating research and development costs through increasing facilities for real knowledge-based companies and comprehensive and continuous financial support of the government from the results obtained It is from the present study and One of the specialized suggestions for knowledge-based companies is to create an internal knowledge management system and hold intra-organizational information such as thematic knowledge competitions and brainstorming. By cultivating the knowledge of employees and the ability to employ them, the company's ability to attract and then innovation can be improved.

This research has been done with the aim of identifying and ranking the factors affecting the digital transformation strategy in Iran's road freight transportation industry, focusing on the Internet of Things and data analytics. After reviewing the literature, semi-structured interviews were conducted with 20 academic and road freight transportation industry experts in Iran, who were selected using the purposive sampling method and saturation principle. In the quantitative part, the opinions of 170 employees of this industry, who were selected based on Cochran's formula and stratified sampling method, were collected using a researcher-made questionnaire. Delphi technique, literature review and coding were used to analyze the data in the qualitative part. In the quantitative part, inferential statistics and SPSS and smartPLS software were used. Finally, 40 indicators were extracted in the form of 8 factors and ranking of indicators and affecting factors was done using factor analysis. The result of this research shows that the internal factors have the highest rank and software infrastructure, hardware infrastructure, economic, external factors, legal, cultural and penetration factor are in the next ranks respectively. Therefore, it is suggested that organizations consider their human resource empowerment program in line with the use of technology and digital tools.

The success of Iran's automobile industry depends on the correct understanding of the factors of technological capability and how to improve them. In order to identifying the factors of technological capabilities of Iran automotive industry, it is noticed to the technological capability evaluation models. Based on the experts’ opinions, the technological capability factors were identified in Ramanathan and Panda's model are selected because of their comprehensiveness and compatibility with the automotive industry. preliminary measurement model with 67 indicators is defined. The number of said indicators was reduced to 47 with the opinion of experts and the fuzzy Delphi technique. The questionnaire is defined by 9 factors and 47 indicators. The validity of the questionnaire is confirmed through the calculation of factor loading method and reliability of the questionnaire is also confirmed through the calculation of Cronbach alpha coefficient. Structural equation method (SEM) and partial least squares technique (Smart PLS software) is used to obtain the factors relation model. the overall fit of the model is obtained. The results of the model show that the capabilities of after-sales services, marketing and sales, also part manufacturing has the highest relation, and the capabilities of creativity, innovation, and strategic management are in the next ranks, the capabilities of design and engineering, production, and technology acquisition are in the last ranks.

Today, research and development activities are considered important sources of transformation in the fields of technology and knowledge production, and research and development departments of knowledge-based companies play an important role in innovation and improvement of products and services. The more advanced and fundamental the level of research activities of knowledge-based companies and the higher the level of technological complexity of these activities, the more innovative and competitive products are available to the domestic and global markets. turns In this regard, the present research was conducted with the aim of investigating the levels of technological complexity of research and development activities in knowledge-based companies. This research is an applied-developmental research in terms of its purpose and descriptive-analytical in terms of its nature and method. The statistical population of the research was all CEOs of knowledge-based companies located in Golestan Science and Technology Park, numbering 85 people. The sample size was considered to be 80 people using Morgan's table and more cautiously, and available sampling method was used. The tool used to collect research data is a researcher-made questionnaire, whose validity was confirmed by measuring face and content validity and its reliability using Cronbach's alpha method. The results of the research indicate that 65% of research and development activities in knowledge-based companies based in Golestan Science and Technology Park are experimental development, 31.2% are applied research and only 3.8%. The percentage is the type of basic research.

Today, knowledge-based companies play a very important role in achieving advanced technologies and producing innovative products, and as a result, the growth and development of countries. The success of these companies is due to the development of advanced research and development activities that have a high level of technological complexity.

The current research is of mixed type. In the qualitative part, the grounded theory approach was used and the data was collected using interview tools and literature review. Quantitative part data was collected from the desired statistical population through a researcher-made questionnaire, then data analysis and model fitting with structural equation modeling method and using smart software pls3 done.

91 effective factors on determining the level of technological complexity in the form of six categories were identified and the presented model was confirmed.

The model for determining the level of technological complexity of research and development activities resulting from the present study can be a suitable tool for managers of research and development departments of knowledge-based companies in order to improve the level of research and development activities based on global standards and creating transformation in the fields of technology and knowledge production.

The competitive advantage of businesses in the era of science and technology depends more on their intellectual assets and their capacity to assimilate foreign information and technology than it does on their physical resources. The primary objective of the present study is to investigate the determinants that influence the absorption capacity, which is seen as a critical component impacting the efficacy of technology transfer in knowledge-based enterprises. The dynamic hypothesis was formulated and then, the flow accumulation diagram was constructed. The supplied scenarios were then subjected to analysis. The findings derived from this paper are as follows: Enhancing incentives and resources for knowledge-based enterprises, fostering external investment inflows, and comprehensive governmental backing for entrepreneurial ventures are crucial measures. Addressing issues pertaining to financial exchanges and sanctions, facilitating the integration of research and development experts into global knowledge networks, and fostering collaboration with technologically advanced nations can minimize technology transfer costs and expedite commercialization prospects. The precise identification of the target market for both domestic and foreign knowledge-based goods, together with the facilitation of their sales, may contribute to the narrowing of the technology gap. This, in turn, enhances the ability to absorb technology and ultimately improves the efficacy of technology transfer.

The main purpose of this research was to design a process of commercialization of technological products in the marine industry of the country, with the values obtained from structural and interpretative modeling analysis, the type of relationships was determined and the networks of interactions and its dimensions were drawn.

This research is a correlational descriptive method, and it is developmental-applicative in terms of the purpose of collecting data through field research. In this research, with the help of the ISM method, the relationships and the influence of each step of the process model of technological products commercialization on each other are examined. The statistical population of this research is the university professors and experts and technicians of the marine industry; the method of determining the sample size of the experts was judgmental. The total sample size of experts is 31. In this study, Matlab software was used to analyze the data. The content validity of the questionnaire was confirmed by Cronbach's alpha using experts' opinions.

The results obtained from this ranking include seven stages and were placed in 2 levels, the first level includes (design and selection of commercialization path (model or commercialization strategy)) and (market preparation and market measures and production commercialization), (marketing, sales, receiving customer feedback) and the second level includes idea presentation (idea generation), evaluation (initial screening) and idea selection, research and development (growth and conceptualization), prototype design and construction, testing and validation and it is legal protection.

The current research aims to design the framework of the digital transformation strategy of the road freight transportation industry, focusing on Internet of Things technology and data analytics, and uses the research method of design science. This research is fundamental-applied in terms of data type, mixed in exploratory type; According to the time of data collection, it was cross-sectional and according to the method of data collection or the nature and method of the research, it was a survey. Data collection in the qualitative part was done with semi-structured interviews with 20 experts from universities and the road freight transportation industry of Iran who were selected using the purposive sampling method and the principle of saturation. A researcher-made questionnaire was used to collect data in quantitative part and the opinions of 170 employees of this industry who were selected using Cochran's formula and stratified sampling method were obtained. Data analysis was done in the qualitative part with Delphi technique, literature review and coding. In the quantitative part, inferential statistics, one-sample t-test, structural equation modeling, and SPSS and smartPLS software were used. The fifth step of the design science method was done by testing the designed strategy framework in a company in the relevant industry. The results showed that the digital transformation strategy includes two managerial and operational strategies. Also, the consequences, influencing factors, mechanisms, facilitators and obstacles were presented in this framework. Based on the results, among the components of the framework, management strategies need to be further strengthened.