جستجوی مقالات مرتبط با کلیدواژه « شرکت دانش بنیان » در نشریات گروه « علوم ترویج »

Today, the digital revolution has affected all behaviors and lifestyles in various aspects, and this impact has attracted the attention of the general public and businesses to this issue. The purpose of this study is to investigate the impact of internet of things technological applications in the development of dynamic capabilities in knowledge-based agricultural companies in Kermanshah. The present research is quantitative in terms of type and applied in terms of purpose, and in terms of data collection, it is descriptive-correlative. According to the report of the working group for evaluation and qualification of knowledge-based companies, the statistical population of the study includes 59 managers of knowledge-based companies in the agricultural sector of Kermanshah province that Using the counting method and distributing the questionnaire among them, 59 questionnaires were used. In the statistics section, a description of SPSS 23 software has been made in order to analyze the data in the form of structural equation model was used Smart PLS3 software. The results showed that the technological applications of the Internet of Things with a positive and significant impact on the development of perception, absorption, adaptation, innovation and networking, with the development of dynamic capabilities in knowledge-based companies in the agricultural sector of Kermanshah has a positive and significant relationship. Agricultural knowledge-based companies can use the tools and sensors related to the Internet of Things to collect the data they need, including crop conditions, weather conditions, soil quality conditions, performance and status of manpower and equipment used.

Entrepreneurship is a multi-faceted phenomenon, which, on the one hand, is affected by all economic, social, cultural and political dimensions and, on the other hand, affects these dimensions. Therefore, the development of entrepreneurship depends on the different aspects of the angles and the various aspects that necessitate the application of the ecosystem approach. This research was essentially aimed at examining the existing and desired status of the components of the ecosystem of entrepreneurship in knowledge companies. The statistical population of the research consisted of the members of knowledge societies in Kermanshah and Hamedan provinces. Using the Pontoon chart, 335 of them were selected through a sampling procedure. The main tool of the research was questionnaire, the reliability of the questionnaire was calculated by sequential alpha coefficient (88% -86% = α). The collected data were analyzed using SPSS software. The results showed that the greatest gap between the existing and the optimal level of the dimensions of the business ecosystem in the knowledge-based companies, in terms of support, financially, is visible and the smallest gap in the human resources, as well as the components related to the market and financial dimensions according to the amount z have the most difference

This two-phase research was done to identify and prioritize mechanisms of academic entrepreneurship in agricultural higher education. According to the research purpose, criteria to select key expert participants were identified as: actual experience in academic entrepreneurship, managerial experience in policy making and institutional supporting for academic entrepreneurship, and professional experience as lecturer or researcher in academic entrepreneurship. A total of 24 experts participated in this Delphi technique. By a three-round Delphi study, the first phase was conducted in order to identify alternative mechanisms and criteria of academic entrepreneurship in higher agricultural education. As findings of the first phase, 5 alternatives and 7 criterion were extracted. Using Analytical Hierarchical Process (AHP), extracted alternative mechanisms and criteria of academic entrepreneurship were prioritized in the second phase. Required data was collected through pair-wise comparison and Expert Choice software used to analysis data. Finally, five methods of academic entrepreneurship ranked based on the seven criterion as: set up spin-off and start-up firms by agricultural faculty members for commercialization of research and supplying scientific services has the highest rank (relative weight of 0.242). Then set up a university academic cooperative, with relative weight of 0.242, licensing or selling patents, with relative weight of 0.213, contract research, with relative weight 0.182 and providing education and consulting services out of university, with relative weight of 0.099 got the next rank. Each mechanism of academic entrepreneurship has a different impact and specific implication.