scholarly journals The impact of technology transfer on the implementation of innovative projects in the innovative industrial cluster (on the example of United Shipbuilding Corporation JSC)

2021 ◽  
pp. 160-167
Author(s):  
В.Г. Чаплыгин ◽  
Е.В. Каранина ◽  
В.Н. Мороз
Keyword(s):  
Technology Transfer ◽  
System Integration ◽  
Main Tool ◽  
Industrial Cluster ◽  
Transfer Mechanism ◽  
Integration Theory ◽  
Other Information ◽  
Impact Of Technology ◽  
The Impact

Механизм трансфера технологий в инновационно-промышленном кластере, базирующийся на сочетании системно-интеграционной теории с холонической парадигмой и включающий три блока функций (координацию и регулирование трансфера технологий, шеринг знаний и иной информации, а также трансформацию знаний и иной информации), способствует росту конкурентоспособности осуществляемой инновационной деятельности, что подтверждается выполненными расчетами с применением аппарата математической статистики. Доказана целесообразность и продуктивность применения предложенной методики выбора организаций-участников инновационно-промышленного кластера, основанной на оценке критериев, характеризующих поступающую от претендентов на вхождение в его состав информацию, и их значимости, включая как количественные, так и качественные ее характеристики. Путем проведения регрессионно-корреляционного анализа между предложенной методикой выбора организаций-участников инновационно-промышленного кластера (на примере АО «Объединенная судостроительная корпорация») на основе оценки качества поступающей от них информации, являющейся главным иснтрументом реализации механизма трансфера технологий, и конкурентоспособностью судостроительного кластера «Объединенная судостроительная корпорация», подтверждена гипотеза, что конкурентоспособность инновационно-промышленного кластера коррелирует с применением предложенного механизма трансфера технологий. The technology transfer mechanism in the innovation-industrial cluster, based on a combination of the system-integration theory with the holonic paradigm and including three blocks of functions (coordination and regulation of technology transfer, sharing knowledge and other information, as well as the transformation of knowledge and other information), contributes to the growth of the competitiveness of the implemented innovative activity, which is confirmed by the calculations performed using the apparatus of mathematical statistics. The expediency and productivity of the application of the proposed methodology for the selection of organizations participating in the innovation-industrial cluster, based on the assessment of criteria characterizing the information coming from applicants for inclusion in its composition, and their significance, including both quantitative and qualitative characteristics, have been proved. By conducting a regression-correlation analysis between the proposed methodology for selecting organizations participating in an innovative industrial cluster (using the example of United Shipbuilding Corporation JSC) on the basis of assessing the quality of the information received from them, which is the main tool for implementing the technology transfer mechanism, and the competitiveness of the United Shipbuilding Corporation ”, the hypothesis was confirmed that the competitiveness of the innovation-industrial cluster correlates with the application of the proposed technology transfer mechanism.

PACS Quality Dimensions

2010 ◽  
pp. 140-153
Author(s):  
Carrison K.S. Tong ◽  
Eric T.T. Wong
Keyword(s):  
Process Analysis ◽  
Radiology Department ◽  
Success Factor ◽  
Healthcare Organizations ◽  
Adult Intensive Care Unit ◽  
It Systems ◽  
Number Of Factors ◽  
Other Information ◽  
The Impact

A large number of studies have attempted to identify the factors that contribute to good PACS quality, such as that shown by Reiner et al (2003). Results from these studies (Bauman, 2000; Ralston, 2000) reveal that the success of PACS requires healthcare organizations and managers to adequately address various types of challenges: technological (e.g., integration with other information systems), managerial (e.g., project management), organizational (e.g., availability of resources), behavioural (e.g., change management), and political (e.g., alignment among key participants). Most investigations have considered a single, or at best, a small number of factors contributing to a fragmented view of PACS success. Broadly, these studies may be classified into those that consider the impact of PACS on radiologists’ workload and productivity (Gale, 1999), those that consider its clinical implications (Hertzberg, 2000) and those associated with performance of the radiology department (Hayt, 2001). Rather than measuring the quality of the PACS performance, other researchers have preferred to focus on the quality of the information, that the system produces, primarily in the form of images and reports. For instance, Lou et al. (1997) considered the data integrity and completeness of acquired images. Quality of images in terms of timeliness, accuracy, completeness, and so forth, was also considered to be a key success factor in several evaluative studies (Cox, 2002; Pavlicek, 1999; Pilling, 2003; Blado, 2002). Indeed, Cox’s work was part of a wider evaluation exercise undertaken to assess the impact of the introduction of a PACS on the adult intensive care unit (AICU) at the Royal Brompton NHS Trust in London. The objectives of the research were to evaluate the perceptions of PACS of the medical and ancillary staff working within AICU as well as to undertake a preliminary assessment of its impact on the workload of radiographers. Questionnaires, interviews and a process analysis were undertaken. The research findings indicate that the overall perception of staff towards the introduction of the PACS was positive. The impact of the system on the workload of radiographers was significant, reducing the time taken to obtain an image from 90 to 60 minutes. However, lessons to be learned for future PACS implementations include the need to ensure compatibility with existing IT systems and adequate IT support. In short, once this expanded, but rather fragmented view of PACS success is recognized, it is not surprising to find that there are so many different measures of PACS quality in the literature depending upon which aspect of PACS the researcher focused his or her attention.

Current and future impact of technology on physiology education.

1998 ◽  
Vol 275 (6) ◽  
pp. S8 ◽  
Author(s):  
R G Carroll
Keyword(s):  
Cognitive Processes ◽  
Word Processing ◽  
Teaching And Learning ◽  
Item Analysis ◽  
Multiple Choice Questions ◽  
The World ◽  
Teaching Learning ◽  
Impact Of Technology ◽  
The Impact

There are at least three areas in which technology can impact education: teaching, learning, and assessment. Teaching, when viewed as communication of information, has been transformed by the technology revolution. Word processing, multimedia, distance learning, and access to the World Wide Web are some prominent examples. The impact of technology on learning, defined as knowledge or skill acquired by instruction or study, has been less dramatic, in part because of our limited understanding of cognitive processes. Some forms of assessment, the collection of evidence of learning, have benefited from technology, such as item analysis of multiple-choice questions. To be effective, the focus on instruction must start with the learner and, from there, consider what should be done to enhance learning. An emphasis on what is technologically appropriate, rather than what is technologically possible, will improve the quality of both teaching and learning.

The Impact of Technology on Assessing Social Skills

1992 ◽  
Vol 11 (4) ◽  
pp. 189-195 ◽  
Author(s):  
Keith Storey
Keyword(s):  
Social Skills ◽  
Computer Technology ◽  
Community Involvement ◽  
Social Skill ◽  
Persons With Disabilities ◽  
The Social ◽  
Impact Of Technology ◽  
The Impact

The social skill of persons with disabilities has been found to influence employment, schooling, friendships, community involvement, and overall quality of life. However, the ability of researchers and practitioners to assess social skills has been limited by reliance upon paper and pencil recording procedures. The development of computer technology offers refinement and expansion of the ability to adequately assess social skills. In this paper, the impact of technology on assessing social skills in persons with disabilities is addressed in terms of describing the technology, implications of the technology, and the role of micro versus macro analysis.

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