scholarly journals Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing (Preprint)

Author(s):  
Yu Peng Zhu ◽  
Han Woo Park
2021 ◽  
Author(s):  
Yu Peng Zhu ◽  
Han Woo Park

BACKGROUND Developing an understanding of the social structure and phenomenon of pandemic information sources worldwide is immensely significant. OBJECTIVE Based on the quadruple helix model, the aim of this study was to construct and analyze the structure and content of the internet information sources regarding the COVID-19 pandemic, considering time and space. The broader goal was to determine the status and limitations of web information transmission and online communication structure during public health emergencies. METHODS By sorting the second top-level domain, we divided the structure of network information sources into four levels: government, educational organizations, companies, and nonprofit organizations. We analyzed the structure of information sources and the evolution of information content at each stage using quadruple helix and network analysis methods. RESULTS The results of the structural analysis indicated that the online sources of information in Asia were more diverse than those in other regions in February 2020. As the pandemic spread in April, the information sources in non-Asian regions began to diversify, and the information source structure diversified further in July. With the spread of the pandemic, for an increasing number of countries, not only the government authorities of high concern but also commercial and educational organizations began to produce and provide significant amounts of information and advice. Nonprofit organizations also produced information, but to a lesser extent. The impact of the virus spread from the initial public level of the government to many levels within society. After April, the government’s role in the COVID-19 network information was central. The results of the content analysis showed that there was an increased focus on discussion regarding public health–related campaign materials at all stages. The information content changed with the changing stages. In the early stages, the basic situation regarding the virus and its impact on health attracted most of the attention. Later, the content was more focused on prevention. The business and policy environment also changed from the beginning of the pandemic, and the social changes caused by the pandemic became a popular discussion topic. CONCLUSIONS For public health emergencies, some online and offline information sources may not be sufficient. Diversified institutions must pay attention to public health emergencies and actively respond to multihelical information sources. In terms of published messages, the educational sector plays an important role in public health events. However, educational institutions release less information than governments and businesses. This study proposes that the quadruple helix not only has research significance in the field of scientific cooperation but could also be used to perform effective research regarding web information during crises. This is significant for further development of the quadruple helix model in the medical internet research area.


2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.


2019 ◽  
Vol 65 (No. 10) ◽  
pp. 463-469
Author(s):  
Živilė Gedminaitė-Raudonė ◽  
Dalia Vidickienė ◽  
Rita Vilkė

Smart Specialization in this research is addressed to the use of collaboration as a tool for increasing efficiency of investment in entrepreneurship, research and innovation in a service-driven post-industrial economic system. This study provides evidence that collaboration potential is used only partly during the implementation of Smart Specialization strategy. The research illustrates given thesis by the evaluation of collaboration in Lithuanian biogas sector, which is listed among the priorities of Lithuania’s Smart Specialization strategy till 2020, using structured interviews. The main aim of this empirical research is to assess the will to collaborate in order to enhance the development of Smart Specialization and identify unused collaboration potential among all Quadruple Helix model counterparts in the biogas sector. Empirical findings show that collaboration in the Smart Specialization development has a big potential. However, this potential is used only partly because of lack of knowledge and available business infrastructure for this task and the passive role in collaboration processes of government institutions. Research findings suggest that current situation should be changed by supporting measures for business and NGOs with the aim to encourage collaborative initiatives for Smart Specialization. Research findings might serve as guidelines for policy makers, entrepreneurs, university and NGO managers.<br />


2015 ◽  
Vol 29 (2) ◽  
pp. 200-220 ◽  
Author(s):  
Clive Savory ◽  
Joyce Fortune

Purpose – The purpose of this paper is to question whether the emphasis placed within translational research on a linear model of innovation provides the most effective model for managing health technology innovation. Several alternative perspectives are presented that have potential to enhance the existing model of translational research. A case study is presented of innovation of a clinical decision support system. The paper concludes from the case study that an extending the triple helix model of technology transfer, to one based on a quadruple helix, present a basis for improving the performance translational research. Design/methodology/approach – A case study approach is used to help understand development of an innovative technology within a teaching hospital. The case is then used to develop and refine a model of the health technology innovation system. Findings – The paper concludes from the case study that existing models of translational research could be refined further through the development of a quadruple helix model of heath technology innovation that encompasses greater emphasis on user-led and open innovation perspectives. Research limitations/implications – The paper presents several implications for future research based on the need to enhance the model of health technology innovation used to guide policy and practice. Practical implications – The quadruple helix model of innovation that is proposed can potentially guide alterations to the existing model of translational research in the healthcare sector. Several suggestions are made for how innovation activity can be better supported at both a policy and operational level. Originality/value – This paper presents a synthesis of the innovation literature applied to a theoretically important case of open innovation in the UK National Health Service. It draws in perspectives from other industrial sectors and applies them specifically to the management and organisation of innovation activities around health technology and the services in which they are embedded.


2020 ◽  
Vol 38 (4) ◽  
pp. 723-739 ◽  
Author(s):  
Shima Moradi ◽  
Firoozeh Dokhani

PurposeAltmetrics is a complementary method in scientometrics for evaluating the performance of individuals, organizations, institutions and countries in social media. Due to the large volume of data related to the interactions in science, technology and innovation, there is no choice but to develop and implement accurate models for analysis and decision making. The Quadruple Helix Model examines the scientific outcomes in four spaces of innovation, knowledge, consensus and government with a distinctive attention to the “innovation space”. In other words, it aims to find the connection between the academic space and other sectors of a society (public, media and government) to see if scientific outputs respond appropriately to their needs.Design/methodology/approachThe present paper studied the impact of health-related researches in D8 countries) including Iran, Turkey, Pakistan, Bangladesh, Indonesia, Malaysia, Egypt and Nigeria) using the Altmetrics scores of their indexed journal in the Web of Science (WOS). The results demonstrated distribution of interactions of the mentioned four spaces in health science researches in terms of social media, geographical distribution and theme for D8 countries. This was conducted using content analysis, scientometric and altmetric indicators in the WOS and Altmetrics.com databases.FindingsIn D8 countries, more interaction has taken place in the knowledge and innovation spaces; however, there exist Quadruple imbalances in these countries. Moreover, some interactions have been observed in all social networks, displaying that users consider health topics in D8 countries, and clinical sciences has gotten more interaction in all the four spaces.Originality/valueThe application of this model using altmetrics data with current approach has been conducted for the first time.


2017 ◽  
Vol 27 (2) ◽  
pp. 261-282 ◽  
Author(s):  
Anderson Galvão ◽  
Carla Mascarenhas ◽  
Ricardo Gouveia Rodrigues ◽  
Carla Susana Marques ◽  
Carmem Teresa Leal

Purpose The purpose of this paper is to study the role of entrepreneurship in economic development based on the four dimensions of the quadruple helix model (Government, University, Enterprise and Society) in relation to the three stages of economy defined by the GEM (innovation-, efficiency- and factor-driven economies). In this context, the authors considered a set of variables that allowed them to measure and verify the stimulus that the four helixes represent in economic development. Design/methodology/approach This study was supported on secondary data from the GEM platform for 58 countries, for 2015. SPSS software was used to analyze data, which allowed the use of the ANOVA and Kruskall-Wallis tests, as well as the generalized linear regression. Findings The results show that in the factor-driven economies, there is a greater influence by the industry, while in the efficiency-driven economies, there is homogeneity among the four dimensions, highlighting only the variables “R&D transfer” and “Entrepreneurial Intention”. Because of the constant need for innovation to become more competitive, in the innovation-driven economies, business and government are the most important dimensions. Research limitations/implications Both in the scientific community with future empirical studies that can confirm the relevance of this model to better understanding which dimensions of quadruple helix improve economic development, and in the governmental community, to serve for policies and strategies that stimulate entrepreneurship to foster the transition from one stage of economic development to another. Originality/value Proposal and test of a quadruple helix model, using the variables available in the GEM database, to the three stages of economic development of the economies that were involved in the GEM.


2021 ◽  
Vol 17 (2) ◽  
pp. 219-238
Author(s):  
Satwika Paramasatya ◽  
Yemima Galih Pradipta ◽  
Kevin Rendra Pratama ◽  
Desy Ramadhani

Human security is very vital for humans. Initially, security was defined as freedom from war. However, over time it began to shift into a broad and collective concept of security. The United Nations established three important pillars of Human Security, namely: freedom from want, freedom from fear, and freedom to live in dignity. The implementation of compliance with Human Security is complex and not simple. This paper argues that the Triple Helix model, the position of society is neglected because they are only positioned as an object where they should also be the one who play an active role as actors. Therefore, a new breakthrough is needed in the effort to fulfill Human Security in Kemijen Village, Semarang City through the Quadruple Helix concept that involves government, business, academics and the community. This study uses a descriptive-qualitative approach by combining literature studies and interviews. The Quadruple Helix is basically a collaboration between top-down and bottom-up approaches, and this study proves that the Quadruple Helix model is utmost important, because the solutions are more  well-targeted and meet the needs of the community. The Quadruple Helix model also allowed the people of Kemijen Village to be involved to become subjects through Focus Group Discussion.


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