ORCID Profile
0000-0002-5288-240X
Current Organisations
Technical University of Munich
,
Queensland University of Technology
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Publisher: Springer Science and Business Media LLC
Date: 06-12-2018
DOI: 10.1007/S12525-018-0322-5
Abstract: Although business model innovation (BMI) is essential to remaining competitive, many firms fail at it. A promising approach is building on reoccurring successful solutions – business model patterns (BMP) – as a blueprint for BMI. However, existing patterns face constraints subject to a high ersity and overlaps among patterns. In addition, literature do not consider relations among BMPs, which limits their potential for BMI. This paper develops a hierarchical taxonomy of BMPs including generalizations and specializations based on inheritance. We conduct a literature review to identify patterns and a cluster analysis to create an inductive structure, followed by a qualitative analysis. The resulting hierarchical taxonomy includes 194 elements. It is the first hierarchical taxonomy of BMPs. The hierarchy addresses the ersity of patterns and overlaps with inheritance. It aids research to structure and understand BMPs. For practice, the taxonomy allows for the application of patterns and supports BMI.
Publisher: Springer Science and Business Media LLC
Date: 19-02-2019
Publisher: Springer Science and Business Media LLC
Date: 21-07-2023
DOI: 10.1007/S12525-023-00645-4
Abstract: Due to eroding business models, companies are seeking new growth opportunities. Business model innovation (BMI) can enable sustainable competitive advantage and future growth. Yet many companies are struggling to innovate their business models. Recent research reveals that collaboration concerning stakeholder integration and open business model innovation can foster BMI, but research has addressed both topics in isolation. By combining these topics, we establish business model co-innovation (BMCI) as a new perspective. Based on a longitudinal case study of an incumbent retailer and an incumbent electronics supplier, we investigate how both parties contribute to innovating the supplier’s business model. We document a BMCI process model highlighting the direct and indirect business model changes of the retailer and the supplier and we identify BMCI characteristics. We contribute to research with a new perspective on how partners co-innovate a business model.
Publisher: Wiley
Date: 02-04-2023
DOI: 10.1111/ISJ.12436
Abstract: When presented with the latest statistics on global warming, it becomes evident that ecological sustainability will be equally important as economic sustainability for companies. A new wave of start‐ups shows that ecological sustainability can be integral to a business model (BM) without compromising economic success. Like start‐ups that designed their BMs to be ecologically and economically sustainable, incumbents also need to undergo two fundamental transformations in parallel: digital and sustainable BM transformation. While each transformation alone is considered demanding, we examined 31 start‐ups to develop a taxonomy of digital sustainable BMs to understand how companies can master these complementary challenges and provide guidelines on achieving ecological and economic sustainability by implementing digital BMs. We use this taxonomy to derive four distinct archetypes of how sustainability can be an integral part of the BM: Sustainable Software Solutions , Sustainable Product‐Service Systems , Sustainability Intelligence , and Digital Sustainable Platforms . For each archetype, we reveal the role of digital technology in creating ecological BMs and how these BMs create sustainable value from an ecological, economic, and technological perspective. Therefore, we go beyond using digital technology to optimise production or logistics or enable remote work and implement sustainability as an integral part of the core logic of the organisation and its identity. For practice, our strategy guidelines contribute to creating a sustainable reality based on digital technology implemented in the BMs.
Publisher: Springer Science and Business Media LLC
Date: 13-12-2021
DOI: 10.1007/S12599-021-00732-W
Abstract: We currently observe the rapid emergence of startups that use Artificial Intelligence (AI) as part of their business model. While recent research suggests that AI startups employ novel or different business models, one could argue that AI technology has been used in business models for a long time already—questioning the novelty of those business models. Therefore, this study investigates how AI startup business models potentially differ from common IT-related business models. First, a business model taxonomy of AI startups is developed from a s le of 100 AI startups and four archetypal business model patterns are derived: AI-charged Product/Service Provider, AI Development Facilitator, Data Analytics Provider, and Deep Tech Researcher. Second, drawing on this descriptive analysis, three distinctive aspects of AI startup business models are discussed: (1) new value propositions through AI capabilities, (2) different roles of data for value creation, and (3) the impact of AI technology on the overall business logic. This study contributes to our fundamental understanding of AI startup business models by identifying their key characteristics, common instantiations, and distinctive aspects. Furthermore, this study proposes promising directions for future entrepreneurship research. For practice, the taxonomy and patterns serve as structured tools to support entrepreneurial action.
Publisher: Springer Science and Business Media LLC
Date: 23-12-2019
DOI: 10.1007/S12525-019-00386-3
Abstract: Blockchain technology enables new ways of organizing economic activities, reduces costs and time associated with intermediaries, and strengthens the trust in an ecosystem of actors. The impact of this seminal technology is reflected by an upcoming research stream and various firms that examine the potential uses of blockchain technology. While there are promising use cases of this new technology, research and practice are still in their infancy about altering existing and creating new business models. We develop a taxonomy of blockchain business models based on 99 blockchain ventures to explore the impact of blockchain technology on business models. As a result, we identify five archetypal patterns, which enhance our understanding of how blockchain technology affects existing and creates new business models. We propose to use these results to discover further patterns fueled by blockchain technology and illustrate how firms can use blockchain technology to innovate their business models.
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 06-2023
Publisher: Informa UK Limited
Date: 23-02-2021
Publisher: Elsevier BV
Date: 07-2020
Publisher: Korea Society of Management Information Systems
Date: 30-09-2019
Publisher: Association for Information Systems
Date: 2019
DOI: 10.17705/1CAIS.04404
Publisher: Edward Elgar Publishing
Date: 15-08-2023
No related grants have been discovered for Jörg Weking.