scholarly journals Business Model Development and Validation in Digital Entrepreneurship

2020 ◽  
pp. 71-85
Author(s):  
Lutz Göcke ◽  
Robin Weninger
Keyword(s):  
Business Models ◽  
Model Development ◽  
Scarce Resources ◽  
Digital Business Models ◽  
The Face ◽  
Definition Of ◽  
Development And Validation ◽  
Structured Approach ◽  
High Uncertainty ◽  
Lean Startup

AbstractEvery venture is developed under high uncertainty and causal ambiguity. A large majority of digital startups leverage the lean startup approach to validate the attractiveness of their venture, to reduce avoidable investments of scarce resources, and to structure the venturing process. Digital entrepreneurs highlight that prioritization and the definition of MVPs are two challenges that entrepreneurs face when applying the lean startup approach. We provide support on these particular challenges through a structured approach—the venture pyramid—to (in)validate digital business models in the face of high uncertainty. Furthermore, we map different types of digital business models with patterns of minimum viable products to inspire digital entrepreneurs and scientists alike. To illustrate our thoughts, we have developed two case studies of German startups that applied a process of rigorous iteration and learning to their venturing processes.

Lean Startup for social impact

2018 ◽  
Vol 14 (3) ◽  
pp. 248-267 ◽  
Author(s):  
Kathryn Semcow ◽  
Jenny Knowles Morrison
Keyword(s):  
Research Team ◽  
Social Impact ◽  
Business Models ◽  
Social Innovation ◽  
Model Development ◽  
Evidence Based ◽  
Content Type ◽  
Non Profit ◽  
For Profit ◽  
Lean Startup

Purpose This paper aims to explore an adaptation of the National Science Foundation Innovation Corps (I-CorpsTM) program, which uses the Lean Startup methodology to help STEM scientists commercialize their research. The adaptation, known as I-Corps for Social Impact (I-Corps SI), extends the for-profit canonical model to include mixed revenue and non-profit business models, to help researchers generate social impact. Design/methodology/approach A research team of policy and non-profit experts observed and adapted a canonical I-Corps process, then interviewed academics who are scaling and sustaining socially impactful solutions from their research, including past I-Corps participants, to validate research team learning. Findings The paper describes limitations of the I-Corps model and modifications required to enhance social impact. Practical implications While the field of social entrepreneurship has grown rapidly over the past few decades, social scientists have lagged behind in translating evidence-based research into solutions that can be scaled and sustained to achieve social impact. The paper presents an evidence-based case for a pedagogical tool to close this gap. Originality/value A focus on validated learning and business model development supports a paradigm shift within the social sciences, which can help spur greater social innovation from evidence-based research.

scholarly journals DIGITAL TRANSFORMATION OF BUSINESS MODELS — BEST PRACTICE, ENABLERS, AND ROADMAP

2017 ◽  
Vol 21 (08) ◽  
pp. 1740014 ◽  
Author(s):  
DANIEL SCHALLMO ◽  
CHRISTOPHER A. WILLIAMS ◽  
LUKE BOARDMAN
Keyword(s):  
Literature Review ◽  
Best Practice ◽  
Business Models ◽  
Digital Transformation ◽  
Clear Definition ◽  
Practical Application ◽  
Basic Understanding ◽  
Definition Of ◽  
Structured Approach ◽  
Insight Into

The purpose of this paper is to clarify the definition of digital transformation (DT) and to introduce a structured approach with phases, activities and results. Our research is based on a literature review which provides insight into the basic understanding of DT. Examples complete the research and show the practical application of DT. The main findings are that although DT is a widely known concept, an approach for the structured DT of business models is missing. The paper offers a clear definition of the DT of business models and phases for the DT of business models. Moreover, the paper offers examples of enablers and DT.

Business Model Literature Overview

2014 ◽  
pp. 79-130 ◽  
Author(s):  
Ales Novak
Keyword(s):  
Business Model ◽  
Financial Reporting ◽  
Business Models ◽  
Potential Role ◽  
Financial Instruments ◽  
Business Logic ◽  
Literature Overview ◽  
Ifrs 9 ◽  
Definition Of

The term ?business model' has recently attracted increased attention in the context of financial reporting and was formally introduced into the IFRS literature when IFRS 9 Financial Instruments was published in November 2009. However, IFRS 9 did not fully define the term ‘business model'. Furthermore, the literature on business models is quite diverse. It has been conducted in largely isolated fashion; therefore, no generally accepted definition of ?business model' has emerged. Therefore, a better understanding of the notion itself should be developed before further investigating its potential role within financial reporting. The aim of this paper is to highlight some of the perceived key themes and to identify other bases for grouping/organizing the literature based on business models. The contributions this paper makes to the literature are twofold: first, it complements previous review papers on business models; second, it contains a clear position on the distinction between the notions of the business model and strategy, which many authors identify as a key element in better explaining and communicating the notion of the business model. In this author's opinion, the term ‘strategy' is a dynamic and forward-looking notion, a sort of directional roadmap for future courses of action, whereas, ‘business model' is a more static notion, reflecting the conceptualisation of the company's underlying core business logic. The conclusion contains the author's thoughts on the role of the business model in financial reporting.

Applying personalized medicine to adult severe asthma

2021 ◽  
Vol 42 (1) ◽  
pp. e8-e16 ◽  
Author(s):  
Angelica Tiotiu
Keyword(s):  
Personalized Medicine ◽  
Severe Asthma ◽  
Negative Impact ◽  
Target Therapy ◽  
Asthma Management ◽  
Future Research ◽  
Biologic Therapies ◽  
Eosinophilic Asthma ◽  
Definition Of ◽  
Structured Approach

Background: Severe asthma is a heterogeneous disease that consists of various phenotypes driven by different pathways. Associated with significant morbidity, an important negative impact on the quality of life of patients, and increased health care costs, severe asthma represents a challenge for the clinician. With the introduction of various antibodies that target type 2 inflammation (T2) pathways, severe asthma therapy is gradually moving to a personalized medicine approach. Objective: The purpose of this review was to emphasize the important role of personalized medicine in adult severe asthma management. Methods: An extensive research was conducted in medical literature data bases by applying terms such as “severe asthma” associated with “structured approach,” “comorbidities,” “biomarkers,” “phenotypes/endotypes,” and “biologic therapies.” Results: The management of severe asthma starts with a structured approach to confirm the diagnosis, assess the adherence to medications and identify confounding factors and comorbidities. The definition of phenotypes or endotypes (phenotypes defined by mechanisms and identified through biomarkers) is an important step toward the use of personalized medicine in asthma. Severe allergic and nonallergic eosinophilic asthma are two defined T2 phenotypes for which there are efficacious targeted biologic therapies currently available. Non-T2 phenotype remains to be characterized, and less efficient target therapy exists. Conclusion: Despite important progress in applying personalized medicine to severe asthma, especially in T2 inflammatory phenotypes, future research is needed to find valid biomarkers predictive for the response to available biologic therapies to develop more effective therapies in non-T2 phenotype.

DIGITAL ECONOMY AND GLOBALIZATION: THE IMPORTANCE OF DIGITAL ENTREPRENEURSHIP DEVELOPMENT

2020 ◽  
Vol 6 (3) ◽  
pp. 17-20
Author(s):  
Farxod Tursunov ◽  
Keyword(s):  
Business Models ◽  
Digital Economy ◽  
Management Systems ◽  
Entrepreneurship Development ◽  
New Business ◽  
Definition Of ◽  
Digital Enterprise ◽  
New Business Models ◽  
Digital Entrepreneurship

The article discusses the role of the digital economy in the development of the country, how it becomes the basis of the economy, new business models and management systems. The opinion of scientistsis analyzed, a definition of a digital enterprise is given

Pandemic Disease, Public Health, and Ethics

2019 ◽  
pp. 796-811 ◽  
Author(s):  
Maxwell Smith ◽  
Ross Upshur
Keyword(s):  
Public Health ◽  
Ethical Issues ◽  
Ethical Challenges ◽  
Pandemic Preparedness ◽  
Scarce Resources ◽  
Ethical Frameworks ◽  
Health Measures ◽  
Care Workers ◽  
The Face ◽  
Conducting Research

Infectious disease pandemics raise significant and novel ethical challenges to the organization and practice of public health. This chapter provides an overview of the salient ethical issues involved in preparing for and responding to pandemic disease, including those arising from deploying restrictive public health measures to contain and curb the spread of disease (e.g., isolation and quarantine), setting priorities for the allocation of scarce resources, health care workers’ duty to care in the face of heightened risk of infection, conducting research during pandemics, and the global governance of preventing and responding to pandemic disease. It also outlines ethical guidance from prominent ethical frameworks that have been developed to address these ethical issues and concludes by discussing some pressing challenges that must be addressed if ethical reflection is to make a meaningful difference in pandemic preparedness and response.

Prosumers’ Digital Business Models for Electric Vehicles: Exploring Microfoundations for a Balanced Policy Approach

2018 ◽  
pp. 227-254
Author(s):  
Saku J. Mäkinen ◽  
Jussi Valta ◽  
Kirsi Kotilainen ◽  
Ulla A. Saari
Keyword(s):  
Electric Vehicles ◽  
Business Models ◽  
Digital Business Models
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