Next-generation business models for artificial intelligence start-ups in the healthcare industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ignat Kulkov
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Value Creation ◽  
Business Models ◽  
Healthcare Industry ◽  
Content Type ◽  
Design Elements ◽  
Market Participants ◽  
Cross Case Analysis ◽  
Start Ups

PurposeValue creation based on artificial intelligence (AI) can significantly change global healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind this change. This article aims to study the process of start-ups' value creation within healthcare.Design/methodology/approachA multiple case study method and a business model design approach were used to study nine European start-ups developing AI healthcare solutions. Obtained information was performed using within and cross-case analysis.FindingsThree unique design elements were established, with 16 unique frames and three unifying design themes based on business models for AI healthcare start-ups.Originality/valueOur in-depth framework focuses on the features of AI start-up business models in the healthcare industry. We contribute to the business model and business model innovation by systematically analyzing value creation, how it is delivered to customers, and communication with market participants, as well as design themes that combine start-ups and categorize them by specialization.

scholarly journals The impact of digital logistics start-ups on incumbent firms: a business model perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jasmin Mikl ◽  
David M. Herold ◽  
Marek Ćwiklicki ◽  
Sebastian Kummer
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Business Models ◽  
Primary Data ◽  
Value Proposition ◽  
Value Capture ◽  
Content Type ◽  
Main Factors ◽  
Start Ups ◽  
The Impact

PurposeDigital freight forwarder (DFF) start-ups and their associated business models have gained increasing attention within both academia and industry. However, there is a lack of empirical research investigating the differences between DFFs and traditional freight forwarders (TFF) and the impact of digital start-ups on incumbents' companies. In response, this study aims to examine the key business model characteristics that determine DFFs and TFFs and propose a framework illustrating the extent to which digital logistics start-ups influence incumbent logistics companies.Design/methodology/approachBased on the primary data gathered from eight interviews with experts from start-ups' and incumbents' logistics companies, as well as secondary data, the authors identify the main factors of DFFs start-ups that have an impact on TFFs and analyze the similarities and differences in regard to the business model components' value proposition, value creation, value delivery and value capture.FindingsThe results show that differences between DFFs and TFFs appear in all four business models' components: value proposition, value creation, value delivery and value capture. In particular, the authors identify three main factors that need to be considered when assessing the impact of DFFs on TFFs: (1) the company size, (2) the market cultivation strategy and (3) the transport mode.Originality/valueThis is one of the first studies to specifically examine the key business model differences between DFFs and TFFs and to propose a conceptual framework for understanding the impact of digital logistics start-ups on incumbent companies.

Sustainable life cycle offers through cooperation

2015 ◽  
Vol 4 (1) ◽  
pp. 4-24 ◽  
Author(s):  
Julia Selberherr
Keyword(s):  
Sustainable Development ◽  
Life Cycle ◽  
Business Model ◽  
Value Creation ◽  
Business Models ◽  
Service Providers ◽  
Construction Sector ◽  
Content Type ◽  
New Business ◽  
Societal Level

Purpose – Sustainable buildings bear enormous potential benefits for clients, service providers, and our society. To release this potential a change in business models is required. The purpose of this paper is to develop a new business model with the objective of proactively contributing to sustainable development on the societal level and thereby improving the economic position of the service providers in the construction sector. Design/methodology/approach – The modeling process comprises two steps, the formal structuring and the contextual configuration. In the formal structuring systems theory is used and two levels are analytically separated. The outside view concerns the business model’s interaction with the environment and its impact on sustainability. The inside view focusses on efficient value creation for securing sustainability. The logically deductively developed business model is subsequently theory-led substantiated with Giddens’ structuration theory. Findings – The relevant mechanisms for the development of a new service offer, which creates a perceivable surplus value to the client and contributes to sustainable development on the societal level, are identified. The requirements for an efficient value creation process with the objective of optimizing the service providers’ competitive position are outlined. Research limitations/implications – The model is developed logically deductively based on literature and embedded in a theoretical framework. It has not yet been empirically tested. Practical implications – Guidelines for the practical implementation of more sustainable business models for the provision of life cycle service offers are developed. Social implications – The construction industry’s impact requires it to contribute proactively to a more sustainable development of the society. Originality/value – This paper analyzes the role for the players in the construction sector in proactively contributing to sustainable development on the societal level. One feasible strategy is proposed with a new business model, which aims at cooperatively optimizing buildings and infrastructures and taking the responsibility for the operating phase via guarantees.

How the social entrepreneurship business model designs in South Africa create value: a complex adaptive systems approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olu Oludele Akinloye Akinboade ◽  
Trevor Taft ◽  
Johann Friedrich Weber ◽  
Obareng Baldwin Manoko ◽  
Victor Sannyboy Molobi
Keyword(s):  
South Africa ◽  
Business Model ◽  
Value Creation ◽  
Social Entrepreneurship ◽  
Complex Adaptive Systems ◽  
Local Governments ◽  
Business Models ◽  
Social Entrepreneurs ◽  
Content Type ◽  
The Social

Purpose This paper aims to understand social entrepreneurship (SE) business model design to create values whilst undertaking public service delivery within the complex environments of local governments in South Africa. Design/methodology/approach Face-to-face semi-structured interview was conducted with 15 purposively selected social entrepreneurs in Gauteng and Western Cape provinces. The interview guide consisted of main themes and follow-up questions. Themes included SEs’ general history, the social business model; challenges faced and how these were overcome; scaling and growth/survival strategies. These enabled the evaluation of SEs in terms of identifying key criteria of affordability, availability, awareness and acceptability, which SEs must achieve to operate successfully in low-income markets. Social enterprise owners/managers within the electricity distribution, water reticulation and waste management services sectors were surveyed. Findings Most respondents focus on building a network of trust with stakeholders, through communication mechanisms that emphasize high-frequency engagements. There is also a strong focus on design-thinking and customer-centric approaches that strengthen value creation. The value creation process used both product value and service value mechanisms and emphasized quality and excellence to provide stakeholder, as well as societal value, within their specific contexts. Practical implications This study builds upon other research that emphasizes SEs’ customer-centric approaches to strengthen value creation and on building a network of trust with multiple stakeholders. It contributes to emphasizing the business paradigm shift towards bringing social values to the business practice. Social implications Social good, but resource providers are demanding more concrete evidence to help them understand their impact (Struthers, 2013). This is because it is intrinsically difficult for many social organizations to document and communicate their impact in more than an anecdotal way. The research has contributed to the understanding of how SEs can provide evidence of value creation. Originality/value This study contributes to the understanding of how business models are designed to create value within the context of the overwhelming complexity of local government services in South Africa.

Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models

2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Business Model ◽  
Value Creation ◽  
Critical Analysis ◽  
Business Models ◽  
Health Conditions ◽  
The World ◽  
The Future

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

Circular economy business model for smart tourism: the case of Ecobnb

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pasquale del Vecchio ◽  
Caterina Malandugno ◽  
Giuseppina Passiante ◽  
Georgia Sakka
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Circular Economy ◽  
Business Models ◽  
Business Model Innovation ◽  
Social Implications ◽  
Content Type ◽  
Tourism Management ◽  
Practical Implications ◽  
Smart Tourism

PurposeThe paper aims to shed new light on the process of value creation and business model innovation resulting from circular economy in the context of smart tourism.Design/methodology/approachThe study embraces a qualitative and exploratory approach related to a single case study. Data have been collected through the integration of web-based desk analysis, interviews and social big data analytics.FindingsFindings are related to Ecobnb, a network-based tourism company, coherent with the principles of value creation and business model innovation in the context of circular economy and smart tourism.Research limitations/implicationsThe study allows understanding of how smart tourism and circular economy can represent two important lenses for managing complexity and driving tourism companies and destinations toward sustainable and smart value creation processes.Practical implicationsPractical implications arise for managers and destination makers in terms of innovation of the tourism management and transition of the business models toward a circular configuration.Social implicationsThe study offers social implications by contributing to the dissemination of a culture of sustainability in tourism management and active involvement of local stakeholders in the growth of a tourism destination.Originality/valueThe study provides an original contribution to the debate on tourism by highlighting the obsolescence of traditional models of management in tourism companies and destinations, seen during the recent pandemic emergence, could be solved through the virtuous integration of digital technologies and sustainable approaches.

Towards a taxonomy of crowdsourced delivery business models

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Georgiana Ciobotaru ◽  
Stanislav Chankov
Keyword(s):  
Business Model ◽  
Business Models ◽  
Principal Component ◽  
Model Framework ◽  
Content Type ◽  
Holistic Understanding ◽  
Global Logistics ◽  
Delivery Services ◽  
Crowd Logistics ◽  
Start Ups

PurposeThe paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.Design/methodology/approachThe business models of 105 companies offering crowdsourced delivery services are analysed. Cluster analysis and principal component analysis are applied to develop a business model taxonomy.FindingsA detailed crowdsourced delivery business model framework with 74 features is developed. Based on it, six distinct clusters of crowdshipping business models are identified. One cluster stands out as the most appealing to customers based on social media metrics, indicating which type of crowdshipping business models is the most successful.Research limitations/implicationsDetailed investigations of each of the six clusters and of recent crowdshipping business model developments are needed in further research in order to enhance the derived taxonomy.Practical implicationsThis paper serves as a best-practices guide for both start-ups and global logistics operators for establishing or further developing their crowdsourced delivery business models.Originality/valueThis paper provides a holistic understanding of the business models applied in the crowdshipping industry and is a valuable contribution to the yet small amount of studies in the crowd logistics field.

Crowdfunding cultural projects and networking the value creation

2019 ◽  
Vol 9 (2) ◽  
pp. 235-254
Author(s):  
Caterina Foà
Keyword(s):  
Social Media ◽  
Community Engagement ◽  
Cultural Values ◽  
Business Model ◽  
Value Creation ◽  
Value Chain ◽  
Business Models ◽  
Structured Interviews ◽  
Content Type ◽  
Business Model Canvas

Purpose The purpose of this paper is to investigate how online crowdfunding is strategically applied to artistic productions featuring strong social and cultural values, exploring potential and risks of networking value creation and community engagement. Mission-driven initiatives and their crowdfunding campaigns are analyzed through platform society framework (van Dijk, 2019), considering the business models and marketing strategies that support the scope and intentions of a variety of agents involved within the online networks. Design/methodology/approach A qualitative multiple case-study approach is adopted to sample and analyze in depth significant examples from the most representative crowdsponsoring platforms in Portugal. Agents’ perspectives and practices are collected through semi-structured interviews with campaign creators and platform managers, and complemented by the design of specific business model canvas (Osterwalder and Pigneur, 2010) adapted to crowdfunding projects. Communication strategies and social media marketing are considered, metering agent’s profile and comparing performance and online engagement through profile and official pages observation. Findings Main findings point out that a crowdfunding campaign requires to set up a specific business model and marketing strategy articulation that go beyond the traditional cultural enterprises differentiation criteria, hybridizing them through experience-led marketing logic, extended product conceptualization and a critical cultural entrepreneurship approach. Community engagement operations need to be structured and integrated through online and offline social networks activities, and the value creation is build through shared meaning construction and interpretation between creators and backers, with the support of others agents involved within crowdfunding value network. It also states that the conceptualization of crowdfunding phenomenon as a service ecosystem (Quero and Ventura, 2019) could be extended, to comprehend other actors and power position within intermediation processes, namely, social network and social media platforms corporations, online payments services, online users, legacy media entities and others stakeholders as matchfunding organizations and partners for products’ development and distribution. Research limitations/implications The research design could be improved by adding more quantitative and social analytics data or an international cases comparison to complete these preliminary results. Practical implications The findings could assist arts and media managers as well as cultural agents to adapt their strategies to emergent business and marketing models, strongly influenced by dominant barging positions in the value chain held by new digital intermediaries, and to better explore product levels to strengthen interactions and engagement with communities of interest and supporters for the creation of value. Social implications This paper contributes to elaborate a more accurate scientific knowledge and critical perspective about crowfunding system evolution, concerning both individual and collective agencies, and their implication for different types of agents and networked individuals between institutions (Dutton, 2009). Originality/value This study is unique, as it adopts a multidisciplinary approach and a comprehensive analysis of Portuguese crowdsponsoring phenomenon, and it offers a valid contribution to the analysis of crowdfunding as value-creation network.

scholarly journals Angel investors’ predictive and control funding criteria

2018 ◽  
Vol 20 (1) ◽  
pp. 34-56 ◽  
Author(s):  
James M. Crick ◽  
Dave Crick
Keyword(s):  
Decision Making ◽  
Business Model ◽  
Business Models ◽  
Management Teams ◽  
Specific Reference ◽  
Structured Interviews ◽  
Content Type ◽  
And Control ◽  
Start Ups ◽  
Angel Investors

PurposeThis study aims to investigate the question involving what factors affect angel investors’ decision-making in funding new start-ups with specific reference to their evolving business models. Without funding and access to networks and experience, certain entrepreneurs will not get their business model through the start-up phase.Design/methodology/approachData arise from 20 semi-structured interviews with angel investors in New Zealand plus supplementary interviews with business incubator managers and textual data.FindingsThe findings suggest a degree of causation-based decision-making, in that certain linear thinking was evident. The implication is that, without the ability of the entrepreneurs to convince the investors about key criteria in their decision-making, investment is unlikely. Nevertheless, a degree of effectuation-based decision-making was also evident, the implication being investors having to balance risk/reward decisions in the context of their own perceptions of affordable losses against an evolving business model. However, angel investors may take on co-investment, including from overseas, that takes decision-making away from management teams.Originality/valueThe study draws attention to the need to consider entrepreneurial ecosystems in angel investor’s decision-making and especially those with a small domestic market that may require management teams to look for scalability internationally. Furthermore, an effectuation lens contributes to knowledge in respect of predictive and control criteria, in particular, assessing risks and rewards against affordable losses involving an evolving business model.

scholarly journals AI-Enhanced Business Models for Digital Entrepreneurship

2020 ◽  
pp. 121-140
Author(s):  
Wolfgang Pfau ◽  
Philipp Rimpp
Keyword(s):  
Case Studies ◽  
Business Model ◽  
Business Models ◽  
Classification Scheme ◽  
Business Practice ◽  
Market Participants ◽  
The World ◽  
Strategy Types ◽  
Start Ups

AbstractThe world of AI offers new opportunities for companies and is therefore of particular interest to entrepreneurs at potentially every level impacting their business. The following article therefore tries to classify the roles of artificial intelligence (AI) applications on the strategic level and their influence on business models. By means of case studies, current business practice will be examined to give entrepreneurs and researchers an understanding of this technology, by providing practical examples so that they can pursue their own AI path. The analysis is based on case studies that examine the role of AI in a company’s business model, both for new market participants in the form of start-ups and incumbents such as the tech giants. By means of case studies, both sides of the extremes are covered in order to provide a picture of the scope of the applications. Insights from these case studies are processed to develop a classification scheme of the influence of AI on business models. Furthermore, the interaction of the different innovation possibilities of AI is compared and with that the importance for the innovative power of companies. Additionally, strategy types are developed on the basis of the presented classification scheme, but give entrepreneurs a suggestion for their own AI path in terms of AI applications to consider. Further, research could consider the influence of the presented AI roles in business models, especially the AI-driven business model is of interest here.

Fostering excellence in business model management in arts and cultural organisations: insights from focus group research across Europe

2018 ◽  
Vol 22 (1) ◽  
pp. 14-30 ◽  
Author(s):  
Daniela Carlucci
Keyword(s):  
Focus Groups ◽  
Business Model ◽  
Value Creation ◽  
Design Methodology ◽  
Business Models ◽  
Model Management ◽  
Financial Health ◽  
Content Type ◽  
Focus Group Research ◽  
Group Research

PurposeIn today’s business landscape, arts and cultural organisations are challenged to search for excellence of their business model management to create and deliver value in a more sustainable way. This study develops exploratory focus groups aimed to capture insights into the practical challenges, wants and needs that arts and cultural organisations across Europe address and face in managing and developing their business models. Design/methodology/approachThe focus groups method has been applied. The methodology included seven focus groups involving arts and cultural organisations operating in different European countries. FindingsThe overall feeling emerging from focus groups is that there is an increasing pressure to prove the value of culture, e.g. economic, social and civic, progressively more in quantitative figures. Arts and cultural organisations are greatly concerned about their financial health, and their ability to continue creating and presenting great arts and cultural events. At the same time, there is an acceptance that gaining financial resilience and sustainability can no longer be put off. Organisations are conscious that it is crucial to rethink their way of operating and to improve their value creation mechanisms to get sustainability. Nevertheless, the challenges to face and issues of change to get a more effective business model management are numerous and various. Originality/valueThe study sheds more light on “business dimensions” perceived by arts and cultural organisations across Europe, as particularly crucial for their survival and requiring proper management attention. In doing this, it offers fresh and valuable knowledge about aspects, factors and dimensions to take into account in the managing business model.

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