The long-term development of Russian biotech sector

foresight ◽  
2017 ◽  
Vol 19 (5) ◽  
pp. 491-500 ◽  
Author(s):  
Anna Grebenyuk ◽  
Nikolai Ravin

Purpose To define strategic directions for the Russia’s social, economic, scientific and technological development in 2011-2013, a large-scale foresight study including the deep analysis of prospects of biotechnology development there was undertaken (Russia 2030: Science and Technology Foresight). This paper aims to present results of this research. Design/methodology/approach The study was based on a combination of technology-push and market-pull approaches that aimed not only to identify most promising science and technology (S&T) areas but also to understand how they can be realized in practice. Representatives from federal authorities, science and business were involved in the project to create future visions of technological directions; analyze grand challenges, weak signals and wild cards; and set research and development (R&D) priorities. Findings According to results of the study, Russia has a potential for biotech sector development, although the level of R&D in the majority of areas is lagging behind that in the USA and leading EU countries. However, there are several advanced applied research areas where efforts can be focused. Among them are high-performance genomics and post-genomics research platforms, systems and structural biology, microbial metabolic engineering, plant biotechnology and microbial strains and consortia for development of symbiotic plant–microbial communities. Originality/value Concentration of available resources of government and business on biotechnological sector development can help to find answers for challenges that Russia faces today or will face tomorrow. It will help to pick up on the current level of research activities, improve the quality of personnel training, make this area the engine of the economy and carry out the so-called new industrialization of the country, building a new, high-tech device industry.

2015 ◽  
Vol 27 (2) ◽  
pp. 148-160 ◽  
Author(s):  
Gustavo Dalmarco ◽  
Paulo Antônio Zawislak ◽  
Willem Hulsink ◽  
Flávio Brambilla

Purpose – The purpose of this paper is to characterize the knowledge flow between companies and universities based on national and sectoral systems of innovation perspective. It is argued here that high-tech sectors can describe a knowledge flow mainly based on scientific research, while sectors with lower technological impact may establish relations based on technical needs. Design/methodology/approach – A case study research was conducted in the horticulture and aerospace sectors in Brazil. Thirteen interviews were performed with chief executive officer’s and academic researchers from both fields. Findings – Results demonstrated differences in technology development and knowledge infrastructure when comparing both sectors, reflecting the impacts of national and sectoral systems of innovation. The horticulture sector presented technological limitations due to restricted eating habits, logistics, knowledge development at universities and difficulties on the establishment of partnerships between local companies and Embrapa, the main public research centre. Such restrictions limit academic activities while companies look for research partnerships abroad. Space industry also has limited technological development due to international embargoes and lack of research alignment between companies and universities. Companies end up developing research activities internally, usually funded by governmental tenders. Research limitations/implications – The horticulture sector has limitations, as it is not the main agriculture area in science and technology applications. Future studies may analyse areas like soy beans, sugar cane and coffee, which may present differences specially regarding sectoral systems of innovation. Originality/value – The finding of this paper may influence the review of sectoral innovation policies, improving the development of local research activities which may be a source of valuable knowledge to companies. It also demonstrates the importance of the knowledge flow to improve sector’s technology level.


Author(s):  
Alicia L. Jurek ◽  
Matthew C. Matusiak ◽  
Randa Embry Matusiak

Purpose The current research explores the structural elaboration of municipal American police organizations, specifically, the structural complexity of police organizations and its relationship to time. The purpose of this paper is to describe and test essential elements of the structural elaboration hypothesis. Design/methodology/approach The authors explore the structural elaboration hypothesis utilizing a sample of 219 large police departments across the USA. Data are drawn from multiple waves of the Law Enforcement Management and Administrative Statistics survey and are analyzed using tobit and OLS regression techniques. Findings While there is some evidence that police departments are becoming more elaborate, little evidence for the structural elaboration hypothesis as a function of time is found. Originality/value This project is the first to specifically explore the structural elaboration hypothesis across multiple time points. Additionally, results highlight structural trends across a panel of large American police organizations and provide potential explanations for changes. Suggestions for large-scale policing data collection are also provided.


Author(s):  
André de Waal

Purpose Happiness at work (HAW) is receiving much attention in the literature, as HAW seems to have a positive effect on organisational performance, such as in increase of productivity, lower turnover of employees and less customer complaints. There is however no research into the relation between HAW and the attractiveness of an organisation. It stands to reason that people who are happier at work are also happier about their organisation and express this to their family and friends. Having an attractive organisation is becoming increasingly important as the world is currently experiencing an economic boom creating shortages of qualified personnel. The paper aims to discuss this issue. Design/methodology/approach A possible way of creating an attractive organisation is by transforming the workplace into a high-performing organisation (HPO). The study described in this paper is looking in this respect at three hypotheses: H1. Higher HAW will increase the attractiveness of the organisation; H2. Becoming an HPO will increase HAW; and H3. Becoming an HPO will increase the attractiveness of the organisation. A large-scale survey of Dutch managers and employees was undertaken in which the respondents were asked their opinion of the high-performance level and attractiveness of their organisation, and their happiness with their job and organisation. Findings The study results show that the three hypotheses are basically confirmed. Increasing the happiness of work of employees, in general, raises the feeling of how attractive the organisation is to the employees themselves and to the external world. However, this positive feeling is mainly true for the work itself but not so much for how committed employees feel to the organisation. Practical implications Organisations now have knowledge at their disposal about ways to promote happiness in their employees, thus raising their attractiveness to current and future employees. Originality/value The study results indicate that senior management has to make more effort to raise the quality level of the organisation, preferably towards the high performance level, in order for employees to start feeling more committed to their organisation. This is because the study results show that transforming an organisation into a high-performance entity increases happiness of employees at work significantly, especially about their work and in a lesser degree with the commitment they feel towards the organisation itself. This result has not been found before, so this research provides managers for the first time with a validated way to help their staff to become happier and more productive.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmanuel Imuetinyan Aghimien ◽  
Lerato Millicent Aghimien ◽  
Olutomilayo Olayemi Petinrin ◽  
Douglas Omoregie Aghimien

Purpose This paper aims to present the result of a scientometric analysis conducted using studies on high-performance computing in computational modelling. This was done with a view to showcasing the need for high-performance computers (HPC) within the architecture, engineering and construction (AEC) industry in developing countries, particularly in Africa, where the use of HPC in developing computational models (CMs) for effective problem solving is still low. Design/methodology/approach An interpretivism philosophical stance was adopted for the study which informed a scientometric review of existing studies gathered from the Scopus database. Keywords such as high-performance computing, and computational modelling were used to extract papers from the database. Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps based on the bibliographic data gathered. Findings Findings revealed the scarcity of research emanating from Africa in this area of study. Furthermore, past studies had placed focus on high-performance computing in the development of computational modelling and theory, parallel computing and improved visualisation, large-scale application software, computer simulations and computational mathematical modelling. Future studies can also explore areas such as cloud computing, optimisation, high-level programming language, natural science computing, computer graphics equipment and Graphics Processing Units as they relate to the AEC industry. Research limitations/implications The study assessed a single database for the search of related studies. Originality/value The findings of this study serve as an excellent theoretical background for AEC researchers seeking to explore the use of HPC for CMs development in the quest for solving complex problems in the industry.


2015 ◽  
Vol 7 (2) ◽  
pp. 232-255 ◽  
Author(s):  
Zhihong Gao ◽  
Susan O’Sullivan-Gavin

Purpose – Given the unique cultural-political context of China, this paper aims to investigate two research questions: What has been the development trajectory of policy-making on consumer privacy protection in China, and what factors have shaped its development over the years? Design/methodology/approach – This paper adopts a historical approach and examines the development of Chinese consumer privacy policy during four periods: 1980s, 1990s, 2000s and 2010-present. Findings – Chinese policy-making on consumer privacy protection has made steady advancement in the past few decades due to factors such as technological development, elite advocacy and emulation of other markets; however, the effects of these factors are conditioned by local forces. Originality/value – To date, most studies of consumer privacy issues have focused on Western countries, especially the European Union and the USA. A better understanding of how consumer privacy policy has developed in China provides important lessons on the promotion of consumer privacy protection in other developing countries.


2015 ◽  
Vol 31 (8) ◽  
pp. 20-22 ◽  
Author(s):  
Reetesh Sharma ◽  
Mark Thomas

Purpose – This article highlights the essential factors to be considered for successful mergers and acquisitions (M & As) in the aviation industry. The article draws insights from the successful deals between Morris and Southwest Airlines as well as Cathay Pacific and Dragonair. Design/methodology/approach – The article is a case study of two successful mergers in the airline industry, one in the USA and one in Asia. Findings – M & As in the airline industry are loaded with difficulties. These include problems of brand identification, opposition from key stakeholders and the need of forming one coherent organisational culture. However, this does not mean that they are impossible. Two large-scale mergers have shown that successful mergers can occur in the industry. Originality/value – This article gives examples of two successful M & A deals from the aviation industry and shows the important factors to achieve this.


Author(s):  
Joanne Pransky

Purpose The purpose of this paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned-entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Dr Cory Kidd, an inventor, entrepreneur and leading practitioner in the field of human–robot interaction. Dr Kidd shares his 20-year journey of working at the intersection of healthcare and technology and how he applied innovative technologies toward solving large-scale consumer healthcare challenges. Findings Dr Kidd received his BS degree in Computer Science from the Georgia Institute of Technology and earned a National Science Foundation Graduate Research Fellow in Computer and Information Science & Engineering. Dr Kidd received his MS and PhD degrees at the MIT Media Lab in human–robot interaction. While there, he conducted studies that showed the psychological and clinical advantages of using a physical robot over screen-based interactions. While finishing his PhD in 2007, he founded his first company, Intuitive Automata, which created interactive coaches for weight loss. Though Intuitive Automata ceased operations in 2013, Dr Kidd harnessed his extensive knowledge of the healthcare business and the experiences from patient engagement and launched Catalia Health in 2014 with a new platform centered specifically around patient behavior change programs for chronic disease management. Originality/value Dr Kidd is a pioneer of social robotics and has developed groundbreaking technology for healthcare applications that combines artificial intelligence, psychology and medical best practices to deliver everyday care to patients who are managing chronic conditions. He holds patents, including one entitled Apparatus and Method for Assisting in Achieving Desired Behavior Patterns and in an Interactive Personal Health Promoting Robot. Dr Kidd was awarded the inaugural Wall Street Journal and Credit Suisse Technopreneur of the Year in 2010, which is meant to “honor the entry that best applies technology with the greatest potential for commercial success”. He is also the Director of Business Development for the nonprofit Silicon Valley Robotics and is an impact partner for Fresco Capital. He consults, mentors and serves as a Board Member and Advisor to several high-tech startups.


Author(s):  
Matthias Heymann ◽  
Henrik Knudsen ◽  
Maiken L. Lolck ◽  
Henry Nielsen ◽  
Kristian H. Nielsen ◽  
...  

This paper explores a vacant spot in the Cold War history of science: the development of research activities in the physical environmental sciences and in nuclear science and technology in Greenland. In the post-war period, scientific exploration of the polar areas became a strategically important element in American and Soviet defence policy. Particularly geophysical fields like meteorology, geology, seismology, oceanography, and others profited greatly from military interest. While Denmark maintained formal sovereignty over Greenland, research activities were strongly dominated by U.S. military interests. This paper sets out to summarize the limited current state of knowledge about activities in the environmental physical sciences in Greenland and their entanglement with military, geopolitical, and colonial interests of both the USA and Denmark. We describe geophysical research in the Cold War in Greenland as a multidimensional colonial endeavour. In a period of decolonization after World War II, Greenland, being a Danish colony, became additionally colonized by the American military. Concurrently, in a period of emerging scientific internationalism, the U.S. military “colonized” geophysical research in the Arctic, which increasingly became subject to military directions, culture, and rules.


2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Vinícius da Fonseca Vieira ◽  
Carolina Ribeiro Xavier ◽  
Nelson Francisco Favilla Ebecken ◽  
Alexandre Gonçalves Evsukoff

Community structure detection is one of the major research areas of network science and it is particularly useful for large real networks applications. This work presents a deep study of the most discussed algorithms for community detection based on modularity measure: Newman’s spectral method using a fine-tuning stage and the method of Clauset, Newman, and Moore (CNM) with its variants. The computational complexity of the algorithms is analysed for the development of a high performance code to accelerate the execution of these algorithms without compromising the quality of the results, according to the modularity measure. The implemented code allows the generation of partitions with modularity values consistent with the literature and it overcomes 1 million nodes with Newman’s spectral method. The code was applied to a wide range of real networks and the performances of the algorithms are evaluated.


2018 ◽  
pp. 20-23
Author(s):  
A. E. Miller

The development of the global economic system leads to the fact that modern production is becoming more technological and capital intensive, requires highly skilled labor and cannot provide work places for a large number of low-skilled workers. In addition, each high-tech work place creates several additional work places in other industries. Many technologies that were first used in industrial production were later used in other industries, increasing their efficiency and competitiveness and thus ensuring the overall economic development. Scientific research and development for the industry are becoming more transdisciplinary; hybrid research areas as well as cross-disciplinary technologies appear. The main problem is that the Russian industrial complex is not ready for unconditional acceptance of these global technological challenges for the most part organizationally, not economically. We need a simple and well-defined organizational and economic mechanism of technologizing of domestic production. Despite the current economic difficulties, there are enough sources of such technological transition funding. They are: entry into the large-scale investment and infrastructure projects on a national scale; participation in projects of field development of the leading oil and gas companies; the programmes of innovative development and R&D programmes of state companies, industrial state programmes; subsidies and grants of development institutions; private funds of enterprises, etc.


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