Examining the growth in willingness to pay for digital wellbeing services on social media: A comparative analysis.

In recent years, there has been a growing need for social media platforms to offer services that preserve and promote users' digital wellbeing, including better protection of personal data and balanced technology usage. However, the current business model of social media is often seen as in conflict with users' digital wellbeing. In 2020, a study investigated users' willingness to pay monetary fees for social media digital wellbeing services. In the present work, we replicated this study in Q4 of 2022, aiming to explore any changes in interest and willingness to pay for these services. In addition, we extended the replication by conducting qualitative analysis on participants' comments to gain deeper insight and identify reasons for payment and reasons for rejecting to pay. Data were collected from 262 participants through an online questionnaire. The survey focused on four services: better data protection, less use of data for marketing, aiding users in controlling their prolonged usage, and reducing fake news and radicalisation on social media. The results showed that the willingness to pay for these services was significantly higher in 2022 compared to the results published in 2020. Participants expressed concerns about the feasibility and fairness of the alternative business model, which requires users to pay for safety and support. Our findings suggest a growing interest in digital wellbeing services, emphasizing the need for social media platforms to assess the feasibility of alternative business models, identify user segments, and take measures to enhance consumers' trust, accordingly.

Unicanvas: Exploring a tool for strategic management.

Purpose: This research proposes an adapted version of Business Model Canvas (BMC) as a strategic instrument for Higher Education Institutions (HEIs). University-Model Canvas (Unicanvas) is intended to be a critical visual and dynamic tool for addressing the challenges faced by entrepreneurial universities in their quintuple helix model. Research methods/Approach: Considering the new challenges facing HEIs, transfer knowledge, corporate social responsibility, internationalization, digitalization, sustainability, and the critical role of universities in innovation and regional development, we adapt the strategic building blocks of the BMC in the context of universities. Findings and implications: Departing from BMC, we propose 10 strategic building blocks against the nine BMCs, including an achievement box. The new challenges HEIs face, the expansion of university outputs, and new societal demands highlight the opportunity to use this tool instead of traditional and static strategic planning models to discuss and concretise their differentiated way of competing. The use of this participative, dynamic, intuitive, and flexible strategic tool will facilitate the holistic strategic management of these institutions in their current new challenges.

Universities are responsible for training students, generating knowledge from their research, and transferring it to the market. This triple function is developed in a changing context with significant challenges, such as demographic changes, rapid technological advances, or limited public financing. Changes for Higher Education Institutions (HEIs) imply contemplating key issues such as transfer and innovation, internationalization, digitalization, sustainability, or regional development in their strategic objectives. For this reason, many universities are asking themselves: How can they approach the strategic management of universities to face these challenges? Universities have traditionally approached the management of their institutions based on traditional and static strategic planning models. However, universities with more attractive strategic tools from the business and entrepreneurship fields could design strategies to meet the interests of multiple academic and market stakeholders. The original Business Model Canvas (BMC) is a widely accepted tool for business model innovation. It provides an easy, dynamic, intuitive, and flexible vision that can be continually improved to shape and renew any business strategy. The main goal of this research is to propose a modified version of BMC, named University-Model Canvas (Unicanvas). A Unicanvas is proposed for its effectiveness, practicality, and easy-to-use tool design and development of university strategic management. We aim to help university managers and administrators understand the possibilities of this tool for appropriate strategic management in these changing times.

Digital technology integration in business model innovation for carbon neutrality: An evolutionary process model for SMEs.

This study delves into the strategies employed by small and medium-sized enterprises (SMEs) to embed digital technology into their business models, aiming to reach carbon neutrality. We offer a comprehensive analysis of five high technology SMEs, unveiling an evolutionary process model that highlights their journey toward integrating technology. The integration process is delineated into three progressive stages. Initially, digital technology is seen as an 'enabler' that promotes the birth of an innovative business model, essentially transforming the mechanisms of value creation, delivery, and capture. As SMEs evolve to an intermediate stage, digital technology becomes a 'disruptor', reshaping and reinventing the business model in terms of how value is created, delivered, and captured. Entering the maturity stage, digital technology is elevated to the role of 'expertise', leading to a sophisticated business model that refines and optimizes these aspects of value. The influence of these business model innovations on carbon neutrality is complex and varies distinctly with each stage, reflecting the dynamic interplay between digital technology and business model evolution.

Managing social-educational robotics for students with autism spectrum disorder through business model canvas and customer discovery.

Social-educational robotics, such as NAO humanoid robots with social, anthropomorphic, humanlike features, are tools for learning, education, and addressing developmental disorders (e.g., autism spectrum disorder or ASD) through social and collaborative robotic interactions and interventions. There are significant gaps at the intersection of social robotics and autism research dealing with how robotic technology helps ASD individuals with their social, emotional, and communication needs, and supports teachers who engage with ASD students. This research aims to (a) obtain new scientific knowledge on social-educational robotics by exploring the usage of social robots (especially humanoids) and robotic interventions with ASD students at high schools through an ASD student-teacher co-working with social robot-social robotic interactions triad framework; (b) utilize Business Model Canvas (BMC) methodology for robot design and curriculum development targeted at ASD students; and (c) connect interdisciplinary areas of consumer behavior research, social robotics, and human-robot interaction using customer discovery interviews for bridging the gap between academic research on social robotics on the one hand, and industry development and customers on the other. The customer discovery process in this research results in eight core research propositions delineating the contexts that enable a higher quality learning environment corresponding with ASD students' learning requirements through the use of social robots and preparing them for future learning and workforce environments.

Impact of green intellectual capital, green organizational culture, and frugal innovation on sustainable business model innovation: Dataset of manufacturing firms in Pakistan.

This dataset integrates and helps examine the impact of green intellectual capital (GIC) which comprises of green human capital (GHC), green structural capital (GSC), and green relational capital (GRC) on green organizational culture (GOC). Secondly, it enables the investigation of GOC as a mediation phenomenon between GIC and sustainable business model innovation (SBMI). Moreover, it highlights the moderation of frugal innovation (FGL) on GOC and SBMI relationship. An online survey was designed using Google forms to collect data from 345 middle/ senior management employees working in medium and large manufacturing firms in Pakistan. Unit of analysis is the organization; thus, each response represents one firm. SPSS and Smart PLS 4 were used for data analysis. Dataset demonstrates that GHC, GSC, and GRC positively impact GOC, which subsequently enhances SBMI. Moreover, effective implementation of FGL can bolster the effect of GOC on SBMI. The dataset is valuable as it can be reproduced and reanalyzed. It offers insights for professionals to revolutionize their innovation for environmental initiatives particularly in the manufacturing sector and train their staff to use modern eco-friendly ingenuities leading to enhanced business performance as well as sustainable development goals. Furthermore, the dataset holds significance for policymakers involved in implementing green economic revitalization programs, enabling them to offer incentives or penalties to encourage compliance.

Dataset for the study of the relationships among business model innovation, open innovation, agility, and export performance.

The data comes from research analyzing the effect of business model innovation on firms' export performance and, also, the role of organizational agility and open innovation as antecedents of business model innovation. The population in this study was comprised by 1518 Spanish exporting manufacturing companies, and the final valid sample included 196 companies. To collect the data, a telephone survey was conducted using a questionnaire designed based on the literature review. PLS was used to assess the reliability and validity of the measures and to test the structural model. The results showed that the measures meet the general criteria commonly accepted by the literature, which makes them suitable for conducting replication studies. Moreover, the data can be used to go further in the study of the relationships between business model innovation and export performance and to clarify the determinants of business model innovation by considering the different dimensions of that variable, to examine some group-specific effects and to test whether some characteristics of the firms in the sample may moderate the relationships between the variables mentioned above. Since business model innovation is crucial in today´s turbulent markets, a better understanding of its antecedents and its impact on firms´ export performance can help guide managers in their decisions.

On the Willingness to Pay for social media/messenger services taking into account personality and sent/received messages among WhatsApp users.

WhatsApp has billions of users worldwide. Instead of paying a subscription fee, users provide their data for the use allowance. This data is used by Meta - the company behind WhatsApp - to obtain insights into user characteristics and monetize those insights. However, this data business model is among others criticized for fostering a loss of privacy that arises when platforms analyze user data, and for the use of design elements to attract users to the platform when they are not online or to extend their online time. Therefore, an increasing number of scientists are discussing whether other payment models are needed to overcome those disadvantages, like a monetary payment model. However, users would probably only pay for improved social media products. This paper provides an empirical basis for understanding the user perspective and, in particular, whether and how much users are willing to pay for improved social media products. For this, 2924 WhatsApp users' perspectives on this topic were investigated. They were asked whether and how much they are willing to pay money for a messenger/social media service when its quality would be improved. Variables potentially influencing Willingness to Pay (i.e., personality, sent/received messages) were studied as well. 47% of the participants were unwilling to pay for a healthier messenger service, and about a quarter were willing or stayed neutral. Further analysis revealed that more agreeable people were more willing to pay. Further: Higher Extraversion was associated with more sent/received messages, but the number of sent/received messages was not linked to Willingness to Pay. The present study shows that many users still are not willing to pay for social media (here messengers), which indicates that the advantages of paying for social media with money instead of with one's own data might need to be better communicated.

Technical deployment of aggregator business models.

The proliferation of Distributed Energy Resources (DERs) is paving the way for new energy-efficient services that aim to make end-users more active. According to the literature, these services will be managed by a central figure, aggregators. This paper proposes several business models to accommodate them in the electric power industry. Several potential alternatives are identified from the study of different design elements, such as the control strategy, architecture, and signals that need to be exchanged. These alternatives are then tested by analyzing pairwise relationships between all the actors involved (Aggregator-Prosumers, Aggregator-DSO, and Aggregator-TSO). Every business model is first explained individually, including how contracts would operate, in order to determine their advantages and drawbacks. Finally, a comparison of all the alternatives is put forward together with an overview of the main initiatives that have already been implemented.

The platform business model selection of online ride-hailing giants based on the aggregation model.

Pure self-management model, pure aggregation business model and Self-support + aggregation model are three commonly used business modes on ride-hailing platforms. We use an analytical model to study these three business models and give the optimal business model decision of the platform. The research shows that the heterogeneity ratio of drivers, the cost of the platform under the Self-support model, the franchise fee received by the platform under the aggregation model and the dissatisfaction of the original users on the platform play a key role in the selection of the platform's business model. When the difference between the franchise fee under the aggregation mode and the platform cost under the Self-support mode fails to generate positive feedback on the platform profit, the platform should choose the pure Self-support mode. When riders are more sensitive to the heterogeneity of service quality of the platform and user stickiness can be ensured, the platform should choose the pure aggregation business model. When user stickiness can be guaranteed and the cost of the platform under the self-run model is controllable, the platform should choose the Self-support + aggregation business model.

eHealth implementation in Europe: a scoping review on legal, ethical, financial, and technological aspects.

Background: The evolution of eHealth development has shifted from standalone tools to comprehensive digital health environments, fostering data exchange among diverse stakeholders and systems. Nevertheless, existing research and implementation frameworks have primarily emphasized technological and organizational aspects of eHealth implementation, overlooking the intricate legal, ethical, and financial considerations. It is essential to discover what legal, ethical, financial, and technological challenges should be considered to ensure successful and sustainable implementation of eHealth. Objective: This review aims to provide insights into barriers and facilitators of legal, ethical, financial, and technological aspects for successful implementation of complex eHealth technologies, which impacts multiple levels and multiple stakeholders. Methods: A scoping review was conducted by querying PubMed, Scopus, Web of Science, and ACM Digital Library (2018-2023) for studies describing the implementation process of eHealth technologies that facilitate data exchange. Studies solely reporting clinical outcomes or conducted outside Europe were excluded. Two independent reviewers selected the studies. A conceptual framework was constructed through axial and inductive coding, extracting data from literature on legal, ethical, financial, and technological aspects of eHealth implementation. This framework guided systematic extraction and interpretation. Results: The search resulted in 7.308 studies that were screened for eligibility, of which 35 (0.48%) were included. Legal barriers revolve around data confidentiality and security, necessitating clear regulatory guidelines. Ethical barriers span consent, responsibility, liability, and validation complexities, necessitating robust frameworks. Financial barriers stem from inadequate funding, requiring (commercial) partnerships and business models. Technological issues include interoperability, integration, and malfunctioning, necessitating strategies for enhancing data reliability, improving accessibility, and aligning eHealth technology with existing systems for smoother integration. Conclusions: This research highlights the multifaceted nature of eHealth implementation, encompassing legal, ethical, financial, and technological considerations. Collaborative stakeholder engagement is paramount for effective decision-making and aligns with the transition from standalone eHealth tools to integrated digital health environments. Identifying suitable stakeholders and recognizing their stakes and values enriches implementation strategies with expertise and guidance across all aspects. Future research should explore the timing of these considerations and practical solutions for regulatory compliance, funding, navigation of responsibility and liability, and business models for reimbursement strategies.

Entrepreneurial bricolage and entrepreneurial performance: The role of business model innovation and market orientation.

Newly established enterprises in China face significant challenges and opportunities, with persistently high mortality rates. Navigating market challenges and establishing sustainable competitive advantages are pressing issues for contemporary businesses. This study delves into the bridging role of business model innovation between entrepreneurial bricolage and entrepreneurial performance, with market orientation influencing the relationship boundaries. We examined 288 Chinese small and medium-sized enterprises, investigating the relationships among entrepreneurial bricolage, business model innovation, market orientation, and entrepreneurial performance. Empirical results indicate: (1) Entrepreneurial bricolage positively influences business model innovation, and business model innovation positively impacts entrepreneurial performance. (2) Business model innovation plays a fully mediating positive role between entrepreneurial bricolage and entrepreneurial performance. (3) Market orientation positively moderates the impact of entrepreneurial bricolage on business model innovation and entrepreneurial performance, and it also positively moderates the impact of business model innovation on entrepreneurial performance. (4) Market orientation positively moderates the impact of entrepreneurial bricolage, mediated by business model innovation, on entrepreneurial performance. The study results contribute to a more effective understanding of the mechanisms through which entrepreneurial bricolage and business model innovation influence entrepreneurial performance, as well as how market orientation moderates their relationships and how enterprises sustain competitive advantages.

Trigeneration based on the pyrolysis of rural waste in India: Environmental impact, economic feasibility and business model innovation.

Pyrolysis-based waste-to-bioenergy development has the potential to resolve some of the major challenges facing rural communities in India such as poor electrification, household air pollution, and farmland degradation and contamination. Existing understanding and analysis of the economic feasibility and environmental impact of bioenergy deployment in rural areas is limited by parameter uncertainties, and relevant business model innovation following economic evaluation is even scarcer. This paper uses findings from a new field survey of 1200 rural households to estimate the economic feasibility and environmental impact of a pyrolysis-based bioenergy trigeneration development that was designed to tackle these challenges. Based on the survey results, probability distributions were constructed and used to supply input parameters for cost-benefit analysis and life cycle assessment. Monte Carlo simulation was applied to characterise the uncertainties of economic feasibility and environmental impact accounting. It was shown that the global warming potential of the development was 350 kg of CO2-eq per capita per annum. Also, the survey identified a significant mismatch between feedstock prices considered in the literature and prices asked for by the surveyed villagers. The results of the cost-benefit analysis and life cycle assessment were then applied to propose two novel business models inspired by the Business Model Canvas, which had the potential to achieve up to 90 % economic profitability and result in a benefit-cost ratio of 1.35-1.75. This is the first study achieving combined environmental and economic analysis and business model innovation for rural bioenergy production in developing countries.

When does a freemium business model lead to high performance? - A qualitative comparative analysis based on fuzzy Sets.

Existing research has neglected to explain why freemium business models lead to differentiated performance or what accounts for the difference in their revenue models. This study investigates how the configuration effect of freemium business models promotes performance and explores the different ways through which freemium business models, their dynamic capabilities, and environmental uncertainty interact to achieve high performance. The fuzzy set qualitative comparative analysis (fsQCA) approach was used to test the conceptual model with data from 45 freemium business model apps. From empirical evidence on the relationship between freemium business models, dynamic capabilities, and environmental uncertainty, the study finds that (1) bundled and fragmented freemium business models are fundamental performance drivers. However, they work only in combination with dynamic capabilities and environmental uncertainty. Moreover, the bundled and fragmented freemium business models have complementary rather than substitution relationships. (2) For companies with bundled and fragmented freemium business models, high sensing and seizing capabilities are critical to achieving high performance. A high bundled freemium business model, high sensing capability, and a lack of fragmented freemium business models and seizing capability can lead to high performance, regardless of reconfiguration capabilities and environmental uncertainty. (3) Under high environmental uncertainty, offering fragmented freemium business models with or without a bundled freemium business model will lead to high performance if they have high sensing, seizing, and reconfiguring capabilities. This study can provide systematic decision support for achieving high performance through freemium business models and the configuration of dynamic capabilities under environmental uncertainty.

The National Resident Matching Program: An Outdated Business Model Due for Reform.

INTRODUCTION: This study aims to examine the trends across the entire NRMP application cycles from 2007-2008 to 2022-2023, specifically exploring trends across competitive surgical specialties to assess the efficacy of the existing NRMP business model and provide evidence-based recommendations to better address the current needs of both applicants and programs. METHODS: A cross-sectional study exploring the trends in the mean number of applicants and mean number of total ranked positions per applicant across surgical, the top 5 most competitive surgical specialties, and non-surgical specialties from 2007-2008 to the 2022-2023 match cycles utilizing data from the NRMP database. RESULTS: Over the studied 16 match cycles, the mean number of applicants to surgical specialties has increased by 47.99% and the mean number of total ranked positions per applicant has increased by 88.07%. For the top 5 most competitive specialties, the mean number of applicants has increased by 57.66% and the mean number of total ranked positions per applicant has increased by 83.33%. CONCLUSION: Trends across the 16 most recent NRMP cycles show evidence of increased congestion in the match system, the burden of which is primarily placed on applicants. Our findings support the need for drastic reform in the NRMP to relieve this burden, and we discuss practical solutions to allow the NRMP to better meet the needs of applicants and residency programs alike.

The Circular Rebound Tool: A tool to move companies towards more sustainable circular business models.

Companies design circular business models through experimentation. However, most companies do not consider the environmental impact of their new business model ideas during experimentation, an iterative phase of high uncertainty. Previous research shows that companies typically use 'rules of thumb' to estimate environmental impact in this stage due to limited time and reliable information to guide decision-making. This might prevent innovators from detecting unintended rebound effects that offset positive environmental gains of new business models. To mitigate this and let innovators think more profoundly about rebound effects during the circular business model experimentation phase, we propose an evidence-based business model ideation tool, the Circular Rebound Tool, designed around lifecycle thinking, the zero-waste hierarchy, and increased rebound effects awareness. The tool's development follows the design science research method, undergoing continuous improvement through 15 workshops. Our tool can help business innovators gain insights into the environmental impact of their early-stage business ideas.

Circular Business Model for Digital Health Solutions: Protocol for a Scoping Review.

BACKGROUND: The circular economy reshapes the linear "take, make, and dispose" approach and evolves around minimizing waste and recapturing resources in a closed-loop system. The health sector accounts for 4.6% of global greenhouse gas emissions and has, over the decades, been built to rely on single-use devices and deal with high volumes of medical waste. With the increase in the adoption of digital health solutions in the health care industry, leading the industry into a new paradigm of how we provide health care, a focus must be put on the amount of waste that will follow. Digital health solutions will shape health care through the use of technology and lead to improved patient care, but they will also make medical waste more complex to deal with due to the e-waste component. Therefore, a transformation of the health care industry to a circular economy is a crucial cornerstone in decreasing the impact on the environment. OBJECTIVE: This study aims to address the lack of direction in the current literature on circular business models. It will consider micro, meso, and macro factors that would impact the operational validity of circular models using the digital health solutions ePaper label (medical packaging), smart wearable sensor (health monitoring devices), smart pill box (medication management), and endo-cutter (surgical equipment) as examples. METHODS: The study will systematically perform a scoping review through a database and snowball search. We will analyze and classify the studies from a predetermined set of categories and then summarize them into an evidence map. Based on the review, the study will develop a 2D framework for businesses to follow or for future research to take a standpoint from. RESULTS: Preliminarily, the review has analyzed 26 studies in total. The results are close to equally distributed among the micro (8/26, 31%), meso (10/26, 38%), and macro (8/26, 31%) levels. Circular economy studies emphasize several circular practices such as recycling (17/26, 65%), reusing (18/26, 69%), reducing (15/26, 58%), and remanufacturing (8/26, 31%). The value proposition in the examined business model is mostly dominated by stand-alone products (18/26, 69%) compared to product as a service (7/26, 27%), involving stakeholders such as health care professionals or hospitals (20/26, 77%), manufacturers (11/26, 42%), and consumers (9/26, 35%). All studies encompass societal (12/26, 46%), economic (23/26, 88%), and environmental (24/26, 92%) viewpoints. CONCLUSIONS: The study argues that each digital health solution would have to be accessed individually to find the optimal business model to follow. This is due to their differing life cycles and complexity. The manufacturer will need a layered value proposition, implementing several business models dependent on their respective product portfolios. The need to incorporate several business models implies an ecosystem perspective that is relevant to consider. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47874.

Influence of digital ambidextrous capabilities on SMEs' transformation performance: The mediating effect of business model innovation.

As the global digital transformation process accelerates, how SMEs can successfully achieve digital transformation is currently an important research question in the field of strategic management and a real-life dilemma that entrepreneurs need to address. This study classifies business model innovation into market-driven business model innovation and driving-market business model innovation based on market orientation theory. The relationship between digital ambidextrous capabilities, business model innovation and transformation performance is explored according to the paradigm of 'capability-behaviour-performance'. This study used SEM and fsQCA to analyze 289 questionnaires collected from middle and senior managers of Chinese SMEs. The results show that digital exploitation capability is positively associated with market-driven business model innovation, while digital exploration capability is positively associated with driving-market business model innovation. In particular, business model innovation plays a fully mediating role in the process of digital ambidextrous capabilities enhancing the transformation performance. Our findings shed new lights on the current debate surrounding the digital transformation of SMEs and will be instructive for both academics and business managers.

Sciducio: a practical framework for guiding the development and leadership of the academic research environment.

The goal of this paper is to introduce Sciducio, a practical framework for guiding the development and leadership of an academic research environment. The principal audience for this framework is new academics, that is individuals beginning a tenure-track position in the U.S or a lecturing position elsewhere in the world. However, we also believe this framework will be of use to established academics searching for structure, academics moving to a new institution, and can serve as a training tool for doctoral and postdoctoral mentees. We briefly describe the theory supporting Sciducio, outline the framework and its individual components (blocks), then provide suggested instructions for use. We provide suggested instructions (i.e., descriptive rather than prescriptive), because there is no one-size-fits-all approach for ensuring success. Sciducio incorporates three domains (Plan, Manage, and Deliver), encompasses eight blocks, and is intended to fit on one-sheet of paper or one screen. The Plan domain includes the blocks: value, strategy, and leadership. The Manage domain includes the blocks: activities, key resources, and finances. The Deliver domain includes the blocks: solution and channels. Considering each of the framework blocks is complex, we cannot provide full justice to each component. This paper serves as a general overview and subsequent papers will be more topic specific. Additionally, we encourage others to contribute to and advance this framework.

Circular value creation: business models and supply chain strategies.

This paper aims to advance research on the circular economy, sustainable innovation through adopting a circular business model (CBM), and circular supply chain management (CSCM). The circular economy is gradually acknowledged as promising to attain ecological growth by minimising resource input, waste, emissions and energy loss. This article investigates the environmental efficacy of circular value creation and its implications for business models and supply chain strategies. It intends to incorporate CBM and CSCM for sustainable innovation and ecological growth, relying on a review of the literature and four case analyses. The context identifies five distinct CBM propelling supply chain strategies and sustainable innovation, supply chain loops, which differ in intricacy and worth. The study demonstrates that circular business models (CBM) and circular CSCM models can facilitate organisations in accomplishing ecological objectives. The companies examined in the study have different characteristics, but all face comparable challenges in persuading consumers and suppliers to adopt circular business models and supply chain management. A significant challenge is that customers perceive products made from recycled or remanufactured materials as inferior to traditional products, leading to lower prices despite meeting comparable quality standards. Therefore, we review the current literature on the business model background to technological, organisational and social innovation. Since the existing literature does not provide a general conceptual definition of sustainable innovation and circular business mode for circular supply chain management, we present normative examples of requirements that circular business models should meet to support sustainable innovation. Finally, we outline the research agenda by asking some guiding questions.

A management model in blood, tissue and cell establishments to ensure rapid and sustainable patient access to advanced therapy medicinal products in Europe.

Blood, tissue and cell establishments (BTCs) stand out in the management of donor selection, procurement and processing of all types of substances of human origin (SoHO). In the last decades, the framework created around BTCs, including hospitals and national health system networks, and their links to research, development and innovation organizations and agencies have spurred their involvement in the study of groundbreaking advanced therapy medicinal products (ATMP). To further improve strategic synergies in the development of ATMPs, it will be required to promote intra- and inter-European collaborations by creating an international network involving BTCs and major stakeholders (i.e., research organizations, hospitals, universities, patient associations, public agencies). This vision is already shared with the European Blood Alliance, the association of non-profit blood establishments, with 26 member states throughout the European Union and European Free Trade Association states. Herein we present and analyze the "BTC for ATMP Development And Manufacture" (BADAM) model, an ethically responsible business model based on the values and missions of BTCs and their commitment to health equity, patient access and education (based on voluntary donation of SoHO to address unmet clinical needs, while contributing to training professionals and scientific literacy of our Society).