Business Model Canvas Template Word DOC PDF

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Business Model Canvas

IUH

Nguyen Xuan Dieu

Key Partners

Key Activities

Value Propositions

Customer Relationships Customer Segments

Matellio - Develop

Create an account/log in The customer will sign up for the program using their basic information or their social media profiles.

The app is an artificial intelligence-powered bot that acts as a virtual mental health instructor. It uses reflective listening in conjunction with evidence-based coping approaches such as cognitivebehavioral therapy (CBT), meditation, and positive coaching to render mental health services more available to its users.

Self-service via an online platform, with a community approach towards counseling.

transformative AI/ML technologies that exploit intelligent analytics and intuitive market insights to help businesses run more efficiently (Matellio 2021). To confirm our app concept, provide insight into the current AI industry developments, or even assist us in selecting the most qualified development team, professional advice is often needed to ensure our app's performance. Matellio enters the fray as a result. We could choose the most secure functionality for our app without difficulty using their specialist consulting services. Not just that, but their AI experts can be able to advise us on which long-term technology developments to pursue or which architecture parameters to include when designing an AI therapy application. During this process, Matellio's certified and professional designers will build

Cognitive Behavioral Therapy (CBT) A variety of CBT and DBT approaches assist them with treating their mental wellbeing positively and enjoyably. Conversational Instruments Intelligent conversational AI techniques to assist them in combating depression, anxiety, and a variety of other mental wellbeing problems in the most humane manner possible. Exercises for the Mind Through unsupervised preparation, mindful activities promote a calm and comfortable sleep environment for consumers. Techniques for Visualization

Clients Company users (in hospital, clinic, etc.) On the customer's hand, users (patients, trial participants).

an interface mockup with the assistance of a project manager. The mockup will be developed under our project requirements and the prototypes or features we agreed upon during the consultation process. We will determine how the end design will appear and what functionality it will have by doing a mockup of our AI therapy software. After our team completes the mockup, the next critical move is to recruit Matellio's experienced team of experts. Finally, Matellio has tested their last and most crucial service of developing AI applications (Matellio 2021). We may identify even unexplained bug samples during the production phase using monitoring, whether manual or automatic.

Vietnam – France Psychology & Psychiatry Institute - a research and technology organization and consultancy and psychotherapy for people, organizations, and populations. The Institute was founded according to the Department of Science and Technology of Hanoi's Certificate No. B-16. This partner will play

Advanced simulation strategies assist consumers in increasing their motivation and trust while still relaxing their minds. Customer Service Users will get all their apprelated questions answered via AI-powered customer support services. Reminders and Notifications A feature is driven by artificial intelligence that reminds users to exercise and take their prescriptions. Support Groups Support groups exist to promote social communication among various types of users. Therapists Locator identifies therapists in the area that will provide patients with the suitable healthcare facilities.

Payments through the Internet A digital interface that allows consumers to pay for their services through appropriate digital payment systems.

Key Resources

Channels Communication and distribution

as a therapist's provider that aims at the Therapists Locator Feature of the app.

Expert knowledge

MOTIVATIONS FOR PARTNERSHIPS: Reduction of risk and uncertainty, Acquisition of particular resources and activities

The brand recognition of Matellio and the Vietnam – France Psychology & Psychiatry Institute

channel: own platform

Platform design

TYPES OF RESOURCES: Intellectual (Brand patents, copyrights, data), Human, Financial

Cost Structure

Revenue Streams

Platform maintenance, management, and development.

Advertisements. Develop the app as an advertisement channel and monetize it.

Creating content

Pros: it's simple capital, and we don't have to go through any additional products to include advertisements in our app.

Cost in recruiting experts Costs in promotion and administration The cost of testing Value-Oriented: emphasizing value generation and presenting a quality value proposition

Cons: advertisements are obnoxious; if we wish to use location-based apps – which is often the case – we must obtain users' consent to use their info. Freemium There is a free edition of an app that is fully available, and a premium option that has additional functionality. This paradigm is classic for usage and is more or less known to end consumers on the digital healthcare market: Pros: risk-averse individuals familiarize themselves with the software before paying, making it possible to attract first customers; the system is beneficial for delivering digital wellbeing to underserved populations, making the product usable and comprehensive. Cons: If a free edition requires users' passwords from the outset or displays a high volume of advertisements, freemium will offend as well. The hazard that consumers may remain on the free edition indefinitely persists. Nota bene: If we opt for freemium, we can ensure that free utilities are very valuable,

beneficial, and approachable. This way, they can help us gain exposure: those who cannot pay the premium edition would be our promoters. Another paradigm operates at the intersection between content monetization and freemium: when we provide a free app with advertisements, and consumers choose to disable them, we have a premium edition. The subscription on a monthly/annual basis. Subscriptions are another time-honored payment method that has grown in popularity recently: we allow users to pay monthly or annually. Typically, startups use this approach to deliver free trials. The benefits include a steady stream of sales, Cons: To obtain this flow, we must build a good consumer relationship.

Designed by: The Business Model Foundry (www.businessmodelgeneration.com/canvas). Word implementation by: Neos Chronos Limited (https://neoschronos.com). License: CC BY-SA 3.0

ASSUMPTIONS 1. The creation and usage of software, particularly those for mental wellbeing, is a relatively recent development. This is reflected in the observational research: the first recorded assessment of a health app dates from 2010. (Coulon et al. 2016; Rao, Hou, Golnik, Flaherty, & Vu 2010). So far, the first crucial assumption is that there is a proven commercial demand for our mental health app. Observational investigations into behavioral wellbeing technology have primarily consisted of clinical studies examining the effectiveness and accessibility of apps or content evaluations examining the usefulness and consistency of the app's content (Grundy et al. 2017). The demand for mental wellbeing applications remains essentially uncontrolled, straddling

many legislative areas such as technology, anonymity, medicinal products, publicity, and advertisement (Therapeutic Goods Administration (TGA), 2013). Thus, our developers would adhere to the 'value' standards of the preferred application store (e.g., Google Play, Apple iTunes), mainly concerned with the platform's efficiency, accessibility, and consistency (Apple Inc., 2015; Google Play, 2015). Before market entry, there is hardly any regulation of customer protection matters such as anonymity, defense, and misleading advertisements (Bucatariu & George 2020). While anybody can design and develop a mental health app, authorship and funding are seldom evident, making it impossible for users to spot prejudice, identify a responsible entity, or determine the app's credibility (Jutel & Lupton 2015). Hence, ensuring the quality, safety, and privacy of app by raising the standard for transparency regarding customer data gathering and distribution, for example, and innovate in the areas of cybersecurity and solitude, can help us gain a competitive advantage. 2. The second critical assumption is that there is a sufficient customer base for the app, which means that there are adequate customers interested in our product that can substantially increase revenue to create a return on investment. Around three million young Vietnamese suffer from mental and psychological issues, yet, just 20% undergo medical attention, with the remainder turning to alcohol, cigarettes, and substance usage, according to a doctor in HCM City (Vietnamnews 2018). Although several advances in the correction of myths linked to mental health and advancement of community-based treatment, regulators have still more work to undertake for affordability and accessibility of therapy and standard of service (WHO 2014), with an approximate 20-30 percent occurrence of mental illnesses in the nation (Tran 2019). The World Bank stated that in Vietnam, the private sector 'was at the forefront of healthcare provision and played an integral role in medicine acquisition, transportation, storage, and distribution' (Sterlin 2016). Critical HC-focused health care facilities include approximately 30 clinics, including Better Living HC, Happy Day Family Centers, and Tan Center for Happiness and Work (Top Nine Counseling Services in HCM 2017). Although online applications and services could be feasible for people with growing middle-class incomes, upper-class

people would pay for high-end products (Mah 2018). Demographics have shifted to favor quality, as customer spending has grown over the years. Regardless of the service model, privacy is vital for healthcare professionals to think about. Online applications assist users with social service issues like coping in a cozy environment (Mah 2018). 3. The final critical assumption is that profitability was borne out by market research, budgeting, and sales projections. Userfriendly artificial intelligence has brought AI-based mental health care to the forefront. Individuals have greater confidence in communicating their mental wellbeing problems to a chatbot than a human being (Matellio 2021). As stated by a reliable source, the industry is expected to produce $4.4 million in sales by 2018 as predicted to grow to $45.2 billion (Matellio 2021).

TESTING METHODS 1 The approach considered helpful for the first assumption was the phenomenological qualitative case study process, which distinguished and described marketing tactics without lacking meaning or impurity in the mental health industry (Bucatariu & George 2020). The writer envisioned a two-step design whereby the results could be proven in the second phase. Stakeholder plurality was also a consideration in the respondents' ultimate decision. Each participant was assured of their privacy and was given a signed consent forms document. This period of fieldwork was undertaken around 25 th April through to 5th May, and their places of work were checked to verify the claims. Also, a preliminary trial interview was done four days before the compilation of evidence, but it was discarded because of concerns of dependability. This test interviewed trial assisted the researchers in finalizing the semi-structured questionnaire that was developed from the previous testing.

2. For the second assumption of customer base, domain demand for mMH is very young in both study and practice (Aryana, Brewster & Nocera 2018). Nevertheless, with the rise in mobile phone usage and mobile applications, it is becoming more challenging to keep track of new technologies (Aryana, Brewster & Nocera 2018). Thus, we employed an exploratory literature analysis to understand better where it is headed. The exploratory literature review often enables designers to bridge experience and current evidence using personal preferences and exploratory methods (Thomas 2004). The development of healthcare facilities is extraordinary, necessitating an exploratory method. Systematic reviews are suitable for their extensive testing of established principles but might not be helpful when looking for new concepts (Stebbins 2001). Exploratory reviews also show a void between both evidence and experience (Aryana, Brewster & Nocera 2018). As a result, such reviews generally start with examining the sources which provide the most closely related information to the topic. This is the opposite of the strategy, which assumes the past work was performed in a confirmatory fashion. The three phases of an exploratory study include finding the literature, organizing the literature, and theorizing. This process considered to be an essential approach to technical literature research (Brereton et al. 2007; Eppler & Mengis 2004), Using an exploratory method, we identified a handful of related sources. Using the MESH in the database medical Medline and Web of Science to perform an initial inquiry on 'on computers and mobile devices that provide a wide range of mental health functions,' to identify relevant papers returned documents. Among the study findings, many studies were focusing on physical health issues like asthma and weight loss. These articles included crucial data from a medical perspective. Literature was read to see if anyone had cited it to include further information. Few direct citations from various fields, including essential literature reviews regarding mMH, were found in the corpus.

3. For the final assumption, profitability, this study utilized Arksey and O'Malley's (2005) 5-step process to include several modalities, including primary and secondary references, official publications, non-based or internal materials, and primary interviews. We collected related mHealth programs using electronic and in- sources and through conversations with critical stakeholders. Data Collection

Online search: Electronic research was done to discover projects using publicly and globally accessible material. We used the PubMed, Cochrane Registry of Controlled Trials (PsycINFO), Academic Library (Embase), World Health Organization trials (Web of Science), and Google Scholar for our literature quest and the merged free-text terms "health OR Vietnam" The second technique sought for mixed free-text words like "mobile phone" and "health" and "Vietnam. Keywords were only in English. Top Interviewer: Main informant interviews were conducted during the automated scan to gather evidence from unpublished research or efforts with knowledge unavailable. After the electronic search was over, we asked to talk to one of the related mHealth projects, trying to get further data that was not accessible online. Supplemental interviews were performed with other similar organizations, private and influential scholars. The interviews' additional aim was to find and gather uncollected details. Semi-structured interviews were used as an experiment to prevent some mHealth trends from emerging in the answers. Some stakeholders were questioned if they were aware of any other mHealth programs in Vietnam.

Reference list Apple Inc 2015, ‘App review’, Cupertino, CA: Apple, Inc, viewed 5th May 2021, . Arksey, H & O’Malley, L 2005, ‘Scoping studies: towards a methodological framework’, International Journal of Social Research Methodology, vol. 8, no. 1, pp. 19–32. Aryana, B, Brewster, L & Nocera, JA 2018, ‘Design for mobile mental health: an exploratory review’, Health and Technology, vol. 9, no. 4, pp. 401–424, viewed 7 December 2019, . Brereton, P, Kitchenham, BA, Budgen, D, Turner, M & Khalil, M 2007, ‘Lessons from applying the systematic literature review process within the software engineering domain’, Journal of Systems and Software, vol. 80, no. 4, pp. 571–583. Bucatariu, L & George, B 2020, ‘Ho Chi Minh City, Vietnam: A Case Study in Mental Health Marketing’, TIJAB (The International Journal of Applied Business), vol. 4, no. 1, p. 1. Coulon, SM, Monroe, CM & West, DS 2016, ‘A Systematic, Multi-domain Review of Mobile Smartphone Apps for Evidence-Based Stress Management’, American Journal of Preventive Medicine, vol. 51, no. 1, pp. 95–105. Eppler, MJ & Mengis, J 2004, ‘The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines’, The Information Society, vol. 20, no. 5, pp. 325–344. Google Play 2015, ‘Core app quality’, Mountain View, CA: Google, Inc, viewed 5 th May 2021,

. Grundy, QH, Wang, Z & Bero, LA 2016, ‘Challenges in Assessing Mobile Health App Quality’, American Journal of Preventive Medicine, vol. 51, no. 6, pp. 1051–1059. Grundy, Q, Parker, L, Raven, M, Gillies, D, Mintzes, B, Jureidini, J, & Bero, L 2017, ‘Finding Peace of Mind: Navigating the Marketplace of Mental Health Apps’, Australian Communications Consumer Action Network, Sydney, viewed 5th May 2021, < https://developer.digitalhealth.gov.au/sites/default/files/accan_final_report_-_finding_peace_of_mind.pdf>. Jutel, A & Lupton, D 2015, ‘Digitizing diagnosis: a review of mobile applications in the diagnostic process’, Diagnosis, vol. 2, no. 2, pp. 89–96. Mah, K 2018, The Mental Healthcare Industry in Vietnam, Vietnam Briefing News. Matellio 2021, How To Create An AI-based Mental Health App Like Wysa?, Matellio Inc, viewed 9 May 2021, . Rao, A, Hou, P, Golnik, T, Flaherty, J & Vu, S 2010, ‘Evolution of Data Management Tools for Managing Self-Monitoring of Blood Glucose Results: A Survey of iPhone Applications’, Journal of Diabetes Science and Technology, vol. 4, no. 4, pp. 949–957. Sterlin, E 2016, Healthcare Market Assessment: East Asia, viewed 5th May 2021, < https://www.ifc.org/wps/wcm/connect/12f5c712-281a-4bb8-bcfb-7bc4949d17e2/EastAsiaHealth_FINAL_cover1.pdf?MOD=AJPERES>. Stebbins RA 2001, ‘Exploratory Research in the Social Sciences’, SAGE, viewed 5th May 2021. Thomas AB 2004, ‘Research Skills for Management Studies’, Psychology Press, viewed 5th May 2021.

Therapeutic Goods Administration 2013, ‘Regulation of medical software and mobile medical ‘apps’’, Canberra, ACT: Australian Government, viewed 5th May 2021, . Tran, VC 2017, ‘Mental Health Care in Vietnam’, Taiwanese Journal of Psychiatry, vol.31, no.4, pp. 287-299, viewed 5th May 2021. Top Nine Counseling Services in HCMC 2017, viewed 5th May 2021, . Vietnamnews 2018, Three million Vietnamese youths suffer from mental health problems, vietnamnews.vn. WHO 2014, Mental health in Viet Nam, www.who.int....