فصلنامه مدیریت توسعه فناوری
سال دهم شماره 3 (پاییز 1401)

The development of a technology-based entrepreneurship ecosystem in universities leads to great economic changes in society. This paper aims to identify the influencing factors for the design of the technology-based entrepreneurship ecosystem model in the College of Engineering of Tehran University. Based on grounded theory as a qualitative method, 17 interviews were conducted with experts and after coding, 51 sub-categories were obtained in the form of 9 main categories. To validate the components, a questionnaire was distributed among the academics and researchers of the College of Engineering of Tehran University, and it was analyzed by the partial least squares method, and all the components were confirmed. Finally, with the help of the structural-interpretive modeling method, by distributing 23 paired questionnaires among the experts, the components of the model were configured in six levels. The findings showed that the category of "culture" is the most influential factor and the components of "Entrepreneurial ecosystem development infrastructures", "Policy and management of financial resources", "Intensity and level of preparation for design, development and commercialization", "Creation and development of supporting institutions and business development in the region" are the most influential factors in the formation of the technology-based entrepreneurship ecosystem in the university.

The development of technology is known to be the driver of the economic progress of a country. Complex products, as capital goods, manufactured with advanced technology and multi-disciplinary methods, play a salient role in realizing this process. Because the mode of production is not mass production, the cost is high, the process is time-consuming and any error in the different phases of manufacturing has major consequences, the creation of technological capability resulting from the technological learning process, has a high priority in these products. In this article, by focusing on the national metro train, its technology learning path was investigated based on the operational steps taken along with the production of the complex product, so that a model for the development of the integration capability in the project can be constructed. The mixed methodology was selected to collect and analyze the data by using interpretive structural modeling and then, based on the findings, stratification was done and the degree of penetration and dependence of the components was determined. According to the presented model, it is expected that technology management and project management offices should play an effective role in the research goal.

Identifying factors affecting technology transfer and using digital transformation technologies to ease and accelerate the transfer process are salient issues that can lead organizations to make more correct decisions in this field. The present research aims to identify the factors affecting technology transfer, focusing on digital transformation. The study applied the meta-synthesis method of Sandelowski and Barroso. It conducted a systematic review. From 312 articles, 42 papers were selected, based on the inclusion criteria. The research validity was confirmed according to the inclusion criteria; holding meetings by the research team, and employing an auditor to inspect the whole process. The research reliability was also confirmed by the Critical Appraisal Skills Program. Findings showed that, in the context of digital transformation, the factors influencing the process of technology transfer include seven dimensions and 61 components. These dimensions are 1-technology selection and acquisition, 2-technology adaptation, technology absorption, 3-technology exploitation, 4 technology development, 5-technology dissemination, and 6-learning and innovation. The model presented can be used to transfer technology in the context of digital transformation in Iran and other developing countries.

Today, the application of technology in banks as a solution to organizational problems has created the emergence of the new dimension of the concept of "technological entrepreneurship'. The aim of the current research was to design and apply a technological entrepreneurship model in the banking industry with a hybrid approach. The method was descriptive-correlation. In the first step, the factors on technological entrepreneurship were extracted through a systematic review of the research background and confirmed through semi-structured interviews with 20 academic experts and managers of the banking industry using the fuzzy Delphi method. The output of this stage was 36 components, categorized in 7 dimensions (inter-organizational, structural, institutional, skill, management, market and customer interactions, technology). Then, in the second step, the dimensions were leveled with interpretive structural modeling method and clustered with Micmac analysis, which was analyzed using Excel software. The results showed that the market dimension and customers are at the first level, the dimensions of inter-organizational, institutional, skill, and management interactions are at the second level, the structural dimension is at the third level, and the technology dimension is at the fourth level, so it is considered the most salient dimension and the structural dimensions, Institutional, technology in the independent cluster and management dimension in the linked cluster and the dimensions of inter-organizational, skill, market and customer interactions are placed in the dependent cluster and finally it can be said: one of the important factors of economic growth and increasing the power of banks in the field of competitiveness, special attention to technological entrepreneurship.

The global banking industry has recently been undergoing fundamental changes. The financial system has to react to these changes worldwide. Start-up financial technology companies called Fintech are looking to respond to emerging customer needs and even create new customers' needs. According to available statistics, a large number of Fintech businesses have failed for various reasons, such as not having a clear framework for their business development, which has led to the wastage of resources. This study has provided a suitable model for the development of Fintech businesses. It used the methodology of "Grounded Theory". Based on this method, it conducted more than a thousand minutes of semi-structured interviews with experts in the Fintech industry. The findings are the extraction of 686 components out of which 112 were, specifically, related the Fintech. Based on these findings, the research model was constructed and theory by doing open, axial, and selective coding. In the end, the components of "recognition and creation of value and its accurate measurement" were identified as the central factors of the model.

Science and technology parks are established to develop a knowledge-based economy since they play a significant role in developing the ecosystem of innovation. In the last two decades, we are witnessing a quantitative surge of science and technology parks in Iran, Now, we need to improve and develop the quality of this important player in the ecosystem of innovation. From the perspective of 1404, a significant contribution is considered for the knowledge-based economy in the national GDP. Currently, this share is very insignificant; less than one percent. The main goal of this research is to design an excellent model of science and technology parks in Iran with the aim of developing the role of companies based in the knowledge-based economy. The present study, using a qualitative approach and relying on symbolic interpretative philosophy, seeks to extract the essence of the excellence model of science and technology parks in Iran. In this regard, the grounded theory strategy has been used to explain the theory's induction. The data was collected through semi-structured interviews with 21 academic and executive experts in the innovation ecosystem and through theoretical sampling until the theoretical saturation point was acheived. The results of the research show that science and technology parks in Iran have the most characteristics of the first and second generation parks, and to excel,they should move towards developing the features of the third and fourth generation (features such as improving the welfare of local communities, having professional management teams, shaping the knowledge city, special innovation zones and digital parks).