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"BUSINESS MODEL"
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Business model innovation and competitive imitation: The case of sponsor-based business models
by
ZHU, FENG
,
CASADESUS-MASANELL, RAMON
in
Business
,
Business innovation
,
business model innovation
2013
This paper provides the first formal model of business model innovation. Our analysis focuses on sponsor-based business model innovations where a firm monetizes its product through sponsors rather than setting prices to its customer base. We analyze strategic interactions between an innovative entrant and an incumbent where the incumbent may imitate the entrant's business model innovation once it is revealed. The results suggest that an entrant needs to strategically choose whether to reveal its innovation by competing through the new business model, or conceal it by adopting a traditional business model. We also show that the value of business model innovation may be so substantial that an incumbent may prefer to compete in a duopoly rather than to remain a monopolist.
Journal Article
Digital Business Model, Digital Transformation, Digital Entrepreneurship: Is There A Sustainable “Digital”?
2020
Digitalization plays a major role in contributing towards the United Nations Sustainable Development Goals. Without transformation of existing businesses, both economic and environmental challenges of the future cannot be solved sustainably. However, there is much confusion on interrelationships and terms dealing with digitization or digitalization: Digital business model, digital transformation, digital entrepreneurship. How do these terms interrelate with and to digitalization, and how do they support firms to grow sustainably? To answer this question, we identified seven core digital-related terms based on a structured literature search within the management and economics domain, namely: Digital, Business Model, Digital Business Model, Digital Technology, Digital Innovation, Digital Transformation, and Digital Entrepreneurship. Thereafter, we analyzed prior literature for deriving a common understanding and definition as a basis for interrelations within a conceptual framework. Definitions were presented in a case study setup with twelve innovation and research and development (R&D) managers from various business units of a German high-tech company. Based on these insights, we propose a conceptual framework on how Digital Readiness, Digital Technology, and Digital Business Models might sustainably relate to Innovation, moderated by a Digital Transformation Process. With this approach, we aim to equip practitioners and researchers alike in handling and addressing change through digitalization sustainably.
Journal Article
Designing the Business Models for Circular Economy—Towards the Conceptual Framework
Switching from the current linear model of economy to a circular one has recently attracted increased attention from major global companies e.g., Google, Unilever, Renault, and policymakers attending the World Economic Forum. The reasons for this are the huge financial, social and environmental benefits. However, the global shift from one model of economy to another also concerns smaller companies on a micro-level. Thus, comprehensive knowledge on designing circular business models is needed to stimulate and foster implementation of the circular economy. Existing business models for the circular economy have limited transferability and there is no comprehensive framework supporting every kind of company in designing a circular business model. This study employs a literature review to identify and classify the circular economy characteristics according to a business model structure. The investigation in the eight sub-domains of research on circular business models was used to redefine the components of the business model canvas in the context of the circular economy. Two new components—the take-back system and adoption factors—have been identified, thereby leading to the conceptualization of an extended framework for the circular business model canvas. Additionally, the triple fit challenge has been recognized as an enabler of the transition towards a circular business model. Some directions for further research have been outlined, as well.
Journal Article
Capturing value from big data – a taxonomy of data-driven business models used by start-up firms
2016
Purpose
The purpose of this paper is to derive a taxonomy of business models used by start-up firms that rely on data as a key resource for business, namely data-driven business models (DDBMs). By providing a framework to systematically analyse DDBMs, the study provides an introduction to DDBM as a field of study.
Design/methodology/approach
To develop the taxonomy of DDBMs, business model descriptions of 100 randomly chosen start-up firms were coded using a DDBM framework derived from literature, comprising six dimensions with 35 features. Subsequent application of clustering algorithms produced six different types of DDBM, validated by case studies from the study’s sample.
Findings
The taxonomy derived from the research consists of six different types of DDBM among start-ups. These types are characterised by a subset of six of nine clustering variables from the DDBM framework.
Practical implications
A major contribution of the paper is the designed framework, which stimulates thinking about the nature and future of DDBMs. The proposed taxonomy will help organisations to position their activities in the current DDBM landscape. Moreover, framework and taxonomy may lead to a DDBM design toolbox.
Originality/value
This paper develops a basis for understanding how start-ups build business models capture value from data as a key resource, adding a business perspective to the discussion of big data. By offering the scientific community a specific framework of business model features and a subsequent taxonomy, the paper provides reference points and serves as a foundation for future studies of DDBMs.
Journal Article
Big-data business models: A critical literature review and multiperspective research framework
by
Marabelli, Marco
,
Saunders, Carol
,
Wiener, Martin
in
Big Data
,
Business
,
Business competition
2020
The emergence of “big data” offers organizations unprecedented opportunities to gain and maintain competitive advantage. Trying to exploit the strategic business potential embedded in big data, many organizations have started to renovate their business models or develop new ones, giving rise to the phenomenon of big-data business models. Although big-data business model research is still in its infancy, a significant number of studies on the topic have been published since 2014. We thus suggest it is time to perform a critical review and assessment of the literature at the intersection of business models and big data (analytics), thereby responding to recent calls for further research on and sustained analysis of big-data business models. In particular, our review uses three major criteria (big-data business model types, dimensions, and deployment) to assess the state of the big-data business model literature and identify shortcomings in this literature. On this basis, we derive and discuss five central research perspectives (supply chain, stakeholder, ethics, national, and process), providing guidance for future research and theory development in the area. These perspectives also have practical implications on how to address the current big-data business model deployment gap.
Journal Article
Facebook and the creation of the metaverse: radical business model innovation or incremental transformation?
by
Krysta, Peter M.
,
Steinhoff, Maurice M.
,
Kanbach, Dominik K.
in
Business models
,
Innovations
,
Name changes
2022
PurposeIn a move characterized by ambiguity, Facebook changed its name to Meta in October 2021, announcing a new era of social interaction, enabled by the metaverse technology that appears poised to become the future center of gravity for online social interactions. At first glance, the communicated change signals a radically new business model (BM) based on an unprecedented configuration of the three following components: value creation, value proposition and value capture. The purpose of this paper is to analyze Facebook’s announced changes in its BM to clarify whether the change is as radical as communicated or rather represents an incremental transformation of the current BM.Design/methodology/approachThis investigation adopted an in-depth case study research method. The process included using a structured approach to collect 153 data points, including academic studies and publicly available information, followed by qualitative content analysis.FindingsThe results of our analysis of Facebook’s entrepreneurial journey indicate that the communicated strategic refocusing does not correspond to a radical BM innovation pattern. Even though Facebook’s BM might evolve into the innovation phase, as the current changes appear very futuristic, the authors estimate that the core elements of the BM will change incrementally. The investigation indicates that the underlying logic of the straightforward communicative efforts primarily serves two purposes: to improve the external perception of the company and to disseminate an internal change signal within the organization.Originality/valueThis paper is the first study that takes an entrepreneurship and BM perspective in analyzing Facebook’s approach in rebranding to Meta and refocusing its strategy on building the metaverse. The academic and practical relevance, as well as the potential future impact on business and society, makes the investigation of this case an intriguing prospect. Additionally, the study illuminates the difference between the communicated vision and the real impact on the business, suggesting critical questions about future large-scale rebranding efforts and their effects.
Journal Article
Software tools for business model innovation: current state and future challenges
by
Knackstedt, Ralf
,
Schoormann, Thorsten
,
Thomas, John
in
Business
,
Business models
,
Characteristic functions
2020
Software tools for business model development hold great promise for supporting business model innovation, but nonetheless, virtually no design-relevant knowledge exists concerning the functions that such tools should possess. As a result, practitioners lack guidance for choosing software tools, and researchers lack a foundation for advancing knowledge on these tools in a cumulative way. To address these issues, we synthesize knowledge from research on software tools for business model development and adjacent fields with the results of an analysis of 24 software tools from practice. Our contribution is threefold. First, we provide a comprehensive taxonomy that identifies 43 characteristic functions of software-based business model development tools. Second, we provide a classification of existing software tools for the taxonomy and, on this basis, third, we derive an agenda for future research. We thus support practitioners’ decision making on tool (re-)design and investment, and provide the foundation for a cumulative stream of research on software tools for business model development.
Journal Article
On the road to digital servitization – The (dis)continuous interplay between business model and digital technology
by
Zhang, Zhengang
,
Visnjic, Ivanka
,
Chen, Yihua
in
Accountability
,
Air conditioners
,
Artificial intelligence
2021
PurposeThe authors seek to understand the process of digital servitization as a shift of manufacturing companies from the provision of standard products and services to smart solutions. Specifically, the authors focus on changes in the business model (i.e. the value proposition, the value delivery system and the value capture mechanism) for digital servitization.Design/methodology/approachThe authors examine a Chinese air conditioner manufacturer, Gree, who became the global leader with their smart solutions. These solutions included performance-based contracts underpinned by artificial intelligence (AI)-powered air conditioners that automatically adjust to environmental changes and are capable of remote monitoring and servicing thanks to its Internet of things (IoT) technology.FindingsTo successfully offer smart solution value propositions, a manufacturer needs an ecosystem value delivery system composed of suppliers, distributors, partners and customers. Once the ecosystem relationships are well aligned, the manufacturer gains value with multiple value capture mechanisms (i.e. efficiency, accountability, shared customer value and novelty). To arrive at this point, a manufacturer has to pass through different stages that are characterized by both discontinuous and continuous interplay between business models and digital technologies. At the beginning of each stage, new value propositions and value delivery systems are first discontinuously created and then enabled with digital technology. As a result, new value capture mechanisms are activated. Meanwhile, the elements of the existing business model are continuously improved.Research limitations/implicationsBy combining process-perspective and business-model lenses, the authors offer nuanced insights into how digital servitization unfolds.Practical implicationsExecutives can obtain insights into the business model elements, they need to change over the course of digital servitization and how to manage the process.Originality/valueA longitudinal case study of a traditional manufacturer that has achieved stellar success through digital servitization business models development.
Journal Article
Six ways to build circular business models
2022
Purpose
Circular business models can improve resource use in a financially and environmentally feasible way. However, companies struggle to choose among the vast variety of ways to achieve circularity within a business model. The purpose of this paper is to offer a pragmatic guide for making strategic decisions on circular business models.
Design/methodology/approach
This paper develops a conceptual model of six different strategic approaches to circular business models and provides examples to business cases and practice to illustrate these.
Findings
This study identifies two critical strategy choices companies should make. First, an innovation strategy addresses the extent to which circularity is achieved with internal or external stakeholders. Second, a resource strategy addresses how companies achieve circularity by narrowing, slowing or closing resource loops. Using examples from business practice, this study illustrates how the combinations of these two strategies can be used to design competitive circular business models. Key managerial questions are also identified to help decide upon a feasible strategy for circular business model innovation.
Originality/value
While different types of circular business models have been described, it is less clear what the strategic choices are that companies need to make to find feasible business cases for circularity in terms of value proposition, value creation and delivery and value capture. This study outlines these through a “circular business model strategy framework”.
Journal Article