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455,282 result(s) for "Business models"
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A Stakeholder Theory Perspective on Business Models: Value Creation for Sustainability
Business models are developed and managed to create value. While most business model frameworks envision value creation as a uni-directional flow between the focal business and its customers, this article presents a broader view based on a stringent application of stakeholder theory. It provides a stakeholder value creation framework derived from key characteristics of stakeholder theory. This article highlights mutual stakeholder relationships in which stakeholders are both recipients and (co-) creators of value in joint value creation processes. Key findings include that the concept and analysis of value creation through business models need to be expanded with regard to (i) different types of value created with and for different stakeholders and (ii) the resulting value portfolio, i.e., the different kinds of value exchanged between the company and its stakeholders. This paper details the application of the stakeholder value creation framework and its theoretical propositions for the case of business models for sustainability. The framework aims to support theoretical and empirical analyses of value creation as well as the management and transformation of business models in line with corporate sustainability ambitions and stakeholder expectations. Overall, this paper proposes a shift in perspective from business models as devices of sheer value creation to business models as devices that organize and facilitate stakeholder relationships and corresponding value exchanges.
Transformational Business Models, Grand Challenges, and Social Impact
The starting premise of this paper is that business models can transform social reality—sometimes to an extreme. Then, building on the concept of \"grand challenges,\" we argue that such transformations can be either positive or negative in nature (or both)—even in the case of business models designed to improve value not only economically but environmentally and socially as well. To further our understanding of the negative aspects, we introduced two conceptual categories of business model: those for oppression or depletion and exclusionary ones. We further argue that bringing the notion of grand challenges center-stage highlights four elements that can contribute to emerging research and inform practice on transformational business models. These elements are: participatory forms of architecture; multivocal inscriptions; scaffolding; and proximity (understood as a caring concern for the \"other\"). They are central components of what we name transformational business models.
Discrete models of financial markets
\"This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox-Ross-Rubinstein (CRR) binomial tree model. A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems\"-- Provided by publisher.
Business model innovation and competitive imitation: The case of sponsor-based business models
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.
Digital transformation: harnessing digital technologies for the next generation of services
Purpose The purpose of this paper is to discuss digital transformation and its four trajectories – digital technology, digital strategy, customer experience and data-driven business models – that could shape the next generation of services. This includes a discussion on whether both the market and organizations are all ready for the digital change and what are the opportunities that will enable firms to create and capture value though new business models. Design/methodology/approach Providing services is a proven and effective way to secure a competitive position, deliver long-term stable revenues and open up new market opportunities. However, it is also clear that some organisations are struggling to digitally transform. Therefore, the commentary provides a brief insight into how firms explore the possibilities of digital transformation and navigate these uncharted waters. Findings Today’s digital technologies affect the organisation outside and in, enabling the creation of new business models and transforming the customer experience. The incumbents are acutely aware that they need to transform strategically – to build new networks and value chains. Originality/value This commentary extends earlier work exploring the digital disruption within services to highlight a number of connected areas: the challenges and opportunities of digital transformation at a strategic level, as well as understanding and enhancing the customer experience and seeing how new data-driven business models can underpin service transformation.
Predictive modeling applications in actuarial science
\"Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practicing analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used by analysts to gain a competitive advantage in situations with complex data\"-- Provided by publisher.
Digital Business Model, Digital Transformation, Digital Entrepreneurship: Is There A Sustainable “Digital”?
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.