Characteristics and Classification of Technology Sector Companies in Digital Health for Diabetes

In recent years, technological progress in smart devices and artificial intelligence has also led to advancements in digital health. Digital health tools are especially prevalent in diabetes treatment and improving lifestyle. In digital health’s innovation ecosystem, new alliance networks are formed not only by medical device companies and pharmaceutical companies but also by information and communications technology (ICT) companies and start-ups. Therefore, while focusing on digital health for diabetes, this study explored the characteristics of companies with high network centralities. Our analysis of the changes in degree, betweenness, and eigenvector centralities of the sample companies from 2011 to 2020 found drastic changes in the company rankings of those with high network centrality during this period. Accordingly, the following eight companies were identified and investigated as the top-ranking technology sector companies: IBM Watson Health, Glooko, DarioHealth, Welldoc, OneDrop, Fitbit, Voluntis, and Noom. Lastly, we characterized these cases into three business models: (i) intermediary model, (ii) substitute model, and (iii) direct-to-consumer model, and we analyzed their customer value.

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Significance of Strategic Alliance in Research and Development of Digital Health Products for Diabetes (Preprint)

10.2196/preprints.32446 ◽

2021 ◽

Author(s):

Satoru Kikuchi ◽

Kota Kodama ◽

Shintaro Sengoku

Keyword(s):

Research And Development ◽

Medical Device ◽

Digital Health ◽

Information And Communications Technology ◽

Smart Devices ◽

Network Centrality ◽

Eigenvector Centrality ◽

Alliance Networks ◽

The Relationship ◽

The U.S

BACKGROUND Digital health has been advancing owing to technological progress by means of smart devices and artificial intelligence, amongst other developments. In the field of diabetes, especially, there are many active use cases of digital technology supporting the treatment of diabetes and improving lifestyle. In the innovation ecosystem, new alliance networks are formed not only by medical device companies and pharmaceutical companies, but also by information and communications technology (ICT) companies and start-ups. While understanding and utilizing the network structure is important to increase the competitive advantage of companies, there is a lack of previous research describing the structure of alliance networks and the factors that lead to their formation in digital health. OBJECTIVE The aim of this study was to explore the significance of alliance networks, focusing on digital health for diabetes, in effectively implementing processes, from the Research and Development (R&D) of products and/or services to their launch and market penetration. METHODS First, we listed the companies and contracts related to the digital health for diabetes, visualized the change in the number of companies and the connections between companies in each industry, and analyzed the overview of the network. Second, we calculated the degree, betweenness centrality, and eigenvector centrality of each company in each year. Next, we analyzed the relationship between network centrality and market competitiveness by using annual sales as a parameter of company competitiveness. We also compared the network centrality of each company by industry and/or headquarters location and analyze the characteristics of companies with higher centrality. Finally, we analyzed the relationship between network centrality and the number of products certified or approved by the U.S. Food and Drug Administration (FDA). RESULTS We found the degree centrality of companies was correlated with an increase in their sales; The betweenness and eigenvector centrality of medical device companies located in the U.S. were significantly higher than those outside the U.S; Finally, the degree, betweenness and eigenvector centralities were correlated with an increase in the number of Class III, but not of Class I nor II medical device products. CONCLUSIONS These findings give rise to new insights on the industry ecosystem for digital health and its requirement and expect a contribution to R&D practices in the field of digital health.

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Digital health and digital biomarkers – enabling value chains on health data

Current Directions in Biomedical Engineering ◽

10.1515/cdbme-2016-0128 ◽

2016 ◽

Vol 2 (1) ◽

pp. 577-581 ◽

Cited By ~ 6

Author(s):

Sven Meister ◽

Wolfgang Deiters ◽

Stefan Becker

Keyword(s):

Business Models ◽

Digital Health ◽

Health Data ◽

Smart Devices ◽

Value Chains ◽

Health Score ◽

New Therapy ◽

Ongoing Work ◽

Pervasive Sensing ◽

Digital Biomarkers

AbstractSmart Devices, IoT and Co. are changing healthcare. The possibilities for pervasive sensing and analysis are fast increasing and new therapy concepts as well as business models are arising, related to the term “Digital Health”. The paper will give a brief overview on the history and ask, whether Digital Health is more than Telemedicine 4.0. Furthermore, we will ask for the prospective currency to participate in new preventive offer. Data is the new oil – Digital Biomarkers enable new value chains on health data and allow for the personalization of healthcare. We will present ongoing work of Fraunhofer ISST on a Digital Biomarker called beHealthy Health Score.

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Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

10.2196/preprints.19011 ◽

2020 ◽

Author(s):

Arunangsu Chatterjee ◽

Sebastian Stevens ◽

Sheena Asthana ◽

Ray B Jones

Keyword(s):

Social Network ◽

Network Analysis ◽

Data Collection ◽

Digital Health ◽

Resource Poor Setting ◽

Quadruple Helix ◽

Innovation Ecosystem ◽

Resource Poor ◽

Quadruple Helix Model ◽

Over Time

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.

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Circular Bioeconomy Business Models to Overcome the Valley of Death. A Systematic Statistical Analysis of Studies and Projects in Emerging Bio-Based Technologies and Trends Linked to the SME Instrument Support

Sustainability ◽

10.3390/su13041899 ◽

2021 ◽

Vol 13 (4) ◽

pp. 1899

Author(s):

Fabiana Gatto ◽

Ilaria Re

Keyword(s):

Circular Economy ◽

Success Factors ◽

Business Models ◽

Raw Materials ◽

Action Plan ◽

Future Perspective ◽

The European Union ◽

Strategic Orientations ◽

Start Ups ◽

Valley Of Death

Reducing the environmental pressure along the products life cycle, increasing efficiency in the consumption of resources and use of renewable raw materials, and shifting the economic system toward a circular and a climate-neutral model represent the heart of the current macro-trends of the European Union (EU) policy agendas. The circular economy and bioeconomy concepts introduced in the EU’s Circular Economy Action Plan and the Bioeconomy Strategy support innovation in rethinking economic systems focusing on market uptaking of greener solutions based on less-intensive resource consumption. In recent decades, industrial research has devoted enormous investments to demonstrate sustainable circular bio-based business models capable of overcoming the “Valley of Death” through alternative strategic orientations of “technological-push” and “market-pull”. The study highlights industrial research’s evolution on bio-based circular business model validation, trends, and topics with particular attention to the empowering capacity of start-ups and small and medium-sized enterprises (SMEs) to close the loops in renewable biological use and reduce dependence on fossil fuels. The research methodology involves a bibliographic search based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach and the European Innovation Council (EIC) Accelerator Data Hub investigation to understand SMEs’ key success factors and start-ups of the circular bioeconomy sector. Eco and bio-based materials, nutraceuticals, and microalgae represent the most sustainable industry applications, leading to circular bioeconomy business models’ future perspective.

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New digital models of care in ophthalmology, during and beyond the COVID-19 pandemic

British Journal of Ophthalmology ◽

10.1136/bjophthalmol-2020-317683 ◽

2021 ◽

pp. bjophthalmol-2020-317683

Author(s):

Yih-Chung Tham ◽

Rahat Husain ◽

Kelvin Yi Chong Teo ◽

Anna Cheng Sim Tan ◽

Annabel Chee Yen Chew ◽

...

Keyword(s):

Business Models ◽

Digital Health ◽

Models Of Care ◽

Clinical Practices ◽

Digital Models ◽

Face To Face ◽

Potential Barriers ◽

Digital Business Models ◽

Brick And Mortar ◽

Clinical Models

COVID-19 has led to massive disruptions in societal, economic and healthcare systems globally. While COVID-19 has sparked a surge and expansion of new digital business models in different industries, healthcare has been slower to adapt to digital solutions. The majority of ophthalmology clinical practices are still operating through a traditional model of ‘brick-and-mortar’ facilities and ‘face-to-face’ patient–physician interaction. In the current climate of COVID-19, there is a need to fuel implementation of digital health models for ophthalmology. In this article, we highlight the current limitations in traditional clinical models as we confront COVID-19, review the current lack of digital initiatives in ophthalmology sphere despite the presence of COVID-19, propose new digital models of care for ophthalmology and discuss potential barriers that need to be considered for sustainable transformation to take place.

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Joint Innovation Investment and Pricing Decisions in Retail Supply Chains with Customer Value

Sustainability ◽

10.3390/su13031309 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1309

Author(s):

Jiali Qu ◽

Benyong Hu ◽

Chao Meng

Keyword(s):

Supply Chain ◽

Cooperative Game ◽

Customer Value ◽

Business Models ◽

Value Added ◽

Revenue Sharing ◽

Nash Bargaining ◽

Product Price ◽

Pricing Decisions ◽

Game Equilibrium

In the retail industry, customer value has become the key to maintaining competitive advantages. In the era of new retail, customer value is not only affected by the product price, but it is also closely related to innovations, such as value-added services and unique business models. In this paper, we study the joint innovation investment and pricing decisions in a retailer–supplier supply chain based on revenue sharing contracts and customer value. We first find that, in the non-cooperative game, equilibrium only exists in the supplier Stackelberg game. However, revenue sharing contracts cannot coordinate the supply chain in the non-cooperative game. By considering supply chain members’ bargaining power, we find that there exists a unique equilibrium for the Nash bargaining product. In addition, revenue sharing contracts can coordinate the supply chain and achieve the optimal consumer surplus. When the supply chain is coordinated, supply chain profit is allocated to the supply chain members based on their bargaining powers.

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Literature review on business prototypes for digital platform

Journal of Innovation and Entrepreneurship ◽

10.1186/s13731-020-00126-4 ◽

2020 ◽

Vol 9 (1) ◽

Cited By ~ 1

Author(s):

Shrutika Mishra ◽

A. R. Tripathi

Keyword(s):

Literature Review ◽

Business Model ◽

Business Models ◽

Digital Technologies ◽

Digital Platform ◽

New Business ◽

Start Ups ◽

The Way

Abstract In today’s world, many digitally enabled start-ups are budding all over the globe because of the fast enhancement in digital technologies. For the establishment of new business, it is necessary to adopt a proper business model which needs to define the way in which the company will provide values and the ways in which the customers can pay for their services. This paper aims to study the various business models being used in today’s marketplace and to provide a better understanding for these business models by having an insight on the attributes.

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Is Co-working Increase Survivability? Study on how Collaborating and Networking Facilitates Open Innovation Process for Startups

International Journal of New Media Technology ◽

10.31937/ijnmt.v7i1.1288 ◽

2020 ◽

Vol 7 (2) ◽

pp. 68-75

Author(s):

Elissa Dwi Lestari

Keyword(s):

Open Innovation ◽

Deep Understanding ◽

Innovation Process ◽

Future Research ◽

Innovation Ecosystem ◽

Quantitative Studies ◽

Multiple Case ◽

Start Ups ◽

Community Manager

Startups, as they are bounded to their liabilities of newness and smallness, need to collaborate extensively with their external partners through the open innovation process. This study aims to depict Co-working space's pivotal role in building up a working innovation ecosystem that facilitates open innovation for startups. To get a more deep understanding of the phenomena, this study used an exploratory study based on three case studies of Co-working spaces operated in the Jakarta region. The study shows that the open innovation process among startups is not naturally existed, but instead, it is purposefully designed by the role of a community manager who acts as the ecosystem catalyst. The community manager becomes the ecosystem enablers that facilitate the networking process by connecting members. As a result, these activities will help the emerging of mutual connection and collaboration processes among members that empower open innovation among startups members. The multiple-case design makes the study conclusions might be difficult to generalize. Future research, including quantitative studies, will help the conclusions examination and the knowledge enrichment of start-ups' open innovation process. This paper will enrich the knowledge concerning how Co-working spaces member seizing opportunities that lead to the open innovation process.

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