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Value proposition

About: Value proposition is a research topic. Over the lifetime, 3582 publications have been published within this topic receiving 88855 citations.


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Journal ArticleDOI
31 Jan 2019
TL;DR: In this article, the authors propose to re-think alternative data's value proposition, how they characterize alternative data, and how they access alternative data to help investors select alternative datasets that better align with their organizational resources and contexts.
Abstract: As alternative data steadily become mainstream in finance, institutional investors may benefit from rethinking how they engage with alternative datasets. Specifically, they could gain from rethinking (1) alternative data’s value proposition, (2) how they characterize alternative data, and (3) how they access alternative data. Rethinking their approaches to alternative data in these ways can help investors select alternative datasets that better align with their organizational resources and contexts. Such rethinking offers the greatest advantages when it focuses on building defensive and defensible strategies around alternative data, rather than prioritizing quicker exploitation of short-lived opportunities. Rethinking alternative data will require institutional investors to investigate new partnering possibilities, which should help them weather (and even thrive during) the escalating arms race among financial-market participants for alternative data. Building capacity for alternative data in these ways could also help investors accelerate innovation.

17 citations

Proceedings ArticleDOI
01 Aug 2011
TL;DR: While the value proposition for mobile healthcare is substantial, significant obstacles in the organizational structures and service platforms exist which must be addressed to accelerate adoption in the U.S. using the VISOR business model framework.
Abstract: The burgeoning costs of healthcare and growth in consumer use of the Internet to attain health-related information to better manage their health-care, coupled with demographic changes in the industrialized countries, strongly argues for the use of tele-health applications that can lower costs and improve the quality of healthcare delivery. Despite its potential, telehealth and digital home-health, has not progressed as rapidly as anticipated, and there are very few deployments to date. Much discussion has focused on the technology challenges associated with mobile healthcare. This paper however also explores the social, regulatory, and market forces that will affect adoption of mobile telehealth. Using the VISOR business model framework, we examine the value proposition of telehealth and adoption factors. We find that while the value proposition for mobile healthcare is substantial, significant obstacles in the organizational structures and service platforms exist which must be addressed to accelerate adoption in the U.S.

17 citations

Journal ArticleDOI
TL;DR: An ODA applicable value-centric Business Model (ODA-vBM) framework for guiding the development of operational business models that support the full value management process, including value identification, proposition, creation, and assessment is introduced.
Abstract: Open data has been noted as one of the main objectives of open government, and eventually as a foundation for creating value-added business and public applications in various domains such as e-Tourism and e-Participation. Value proposition to and creation for all stakeholders in the open data service chain are key factors to the success of developing and delivering Open Data Applications (ODAs). As critical is the design and development of suitable business models that help direct value proposition, creation, and assessment, and further sustain continuous business operations. In the literature, there is still a lack of studies comprehensively addressing issues regarding value creation and business model design of open data applications. This article introduces an ODA applicable value-centric Business Model (ODA-vBM) framework for guiding the development of operational business models that support the full value management process, including value identification, proposition, creation, and assessme...

17 citations

Proceedings ArticleDOI
03 Jan 2007
TL;DR: This paper analyzes the value proposition of grid computing for risk/return management and proposes a model to quantify the benefits and cost of the corresponding calculations on the basis of covariance matrices.
Abstract: Risk/return management has evolved as one of the key success factors for enterprises especially in the financial services industry. It is highly demanding in terms of business requirements and technical resources, making it an almost ideal application for grid computing concepts. In this paper we analyze the value proposition of grid computing for risk/return management. We focus on a specific problem - the estimation of covariance matrices - and propose a model to quantify the benefits and cost of the corresponding calculations. Our model not only makes a contribution to understand the business value of grid computing in the domain of risk/return management, it also constitutes a building block for the development of economic resource allocation mechanisms

16 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023194
2022426
2021307
2020300
2019308