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Business model

About: Business model is a research topic. Over the lifetime, 31509 publications have been published within this topic receiving 599504 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the need to leverage digital technology to develop and implement new business models forces firms to reevaluate e cient business models, and the need for reevaluation of existing business models.

135 citations

Book ChapterDOI
01 Jan 2015
TL;DR: A careful examination of this business model is presented and its execution is discussed by analyzing the most prominent firms in the industry and the academic literature is surveyed for research that is specifically relevant or directly related to fast fashion.
Abstract: Fast fashion is a business model that offers (the perception of) fashionable clothes at affordable prices. From an operations standpoint, fast fashion requires a highly responsive supply chain that can support a product assortment that is periodically changing. Though the underlying principles are simple, the successful execution of the fast-fashion business model poses numerous challenges. We present a careful examination of this business model and discuss its execution by analyzing the most prominent firms in the industry. We then survey the academic literature for research that is specifically relevant or directly related to fast fashion. Our goal is to expose the main components of fast fashion and to identify untapped research opportunities.

135 citations

Journal ArticleDOI
TL;DR: In this article, a case study of a free-floating bike sharing system in China, called Mobike, explores the main enabling factors which is transforming people from passive product/service receivers to active value co-creators in the sharing economy, such as selfefficacy, cognition of duty, anticipated awards and learning processes.
Abstract: The disruptive rise of the sharing economy has inspired multiple social innovations embodying significant potential towards achieving urban sustainability in crucial areas like low-carbon mobility. Increasingly, consumers in such sharing systems participate in activities of value co-creation together with firms and peers, such as through enforcing rules that help maintain trust and reciprocity. Why do people choose to invest their time and energy in co-creating values that may benefit wider social and environmental sustainability in the sharing economy? This study addresses this question through an analysis of an emerging shared mobility community, the innovative socio-economic relationships it has spawned, and the cultural and cognitive forces that underpin these new forms of economic organization and value creation in relation to sustainability. Through a mixed method case study of a newly emerged free-floating bike sharing system in China, called Mobike, the paper explores the main enabling factors which is transforming people from passive product/service receivers to active value co-creators in the sharing economy, such as self-efficacy, cognition of duty, anticipated awards and learning processes. The paper argues that business, social and government organizations may leverage these enabling factors to achieve a more sustainable sharing business and society. Finally, based on quantitative and qualitative data analysis, the article proposes a value co-creation framework between users and firms that involves a clear social learning process on the one hand, and has strong links with social innovations towards sustainability, on the other.

135 citations

Book
26 Nov 2007
TL;DR: Cindi Howson as discussed by the authors presents the key steps to make BI an integral part of a company's culture and demonstrates how a company can use BI as a competitive differentiator.
Abstract: Praise for Successful Business Intelligence"If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them." --Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics"When used strategically, business intelligence can help companies transform their organization to be more agile, more competitive, and more profitable. Successful Business Intelligence offers valuable guidance for companies looking to embark upon their first BI project as well as those hoping to maximize their current deployments." --John Schwarz, CEO, Business Objects"A thoughtful, clearly written, and carefully researched examination of all facets of business intelligence that your organization needs to know torun its business more intelligently and exploit information to its fullest extent." --Wayne Eckerson, Director, TDWI Research"Using real-world examples, Cindi Howson shows you how to use business intelligence to improve the performance, and the quality, of your company." --Bill Baker, Distinguished Engineer & GM, Business Intelligence Applications, Microsoft Corporation"This book outlines the key steps to make BI an integral part of your company's culture and demonstrates how your company can use BI as a competitive differentiator." --Robert VanHees, CFO, Corporate Express"Given the trend to expand the business analytics user base, organizations are faced with a number of challenges that affect the success rate of these projects. This insightful book provides practical advice on improving that success rate." --Dan Vesset, Vice President, Business Analytics Solution Research, IDC

135 citations

Journal ArticleDOI
TL;DR: How to address the lack of transparency, trust, and acceptance in cloud services is addressed.
Abstract: C l o U D C o M P U t i N g i s an evolving paradigm that affects a large part of the IT industry, in particular the way hardware and software are deployed: as a service Cloud computing provides new opportunities for IT service providers, such as the adoption of new business models and the realization of economies of scale by increasing efficiency of resource utilization Adopters are supposed to benefit from advantages like up-to-date IT resources with a high degree of flexibility and low upfront capital investments However, despite advantages of cloud computing, small and medium enterprises (SMEs) in particular remain cautious implementing cloud service solutions This holds true for both IT service providers and IT service users The main reasons for the reluctance of companies to adopt cloud computing include: ˲ Due to the prevailing information asymmetry on the market, companies have difficulties comprehensively assessing the individual benefits and challenges associated with the adoption of cloud services Furthermore, the information asymmetry impedes providers from aligning their services with the needs of potential customers ˲ Companies lack appropriate, qualified, trustworthy information and benchmarks to assess cloud services with regard to individual benefits and associated risks ˲ Companies lack approaches and metrics to adequately assess and compare the service quality of cloud services, especially, regarding security and reliability ˲ Industry-specific requirements and restrictions on IT usage and data processing limit the adoption of cloud services in sectors like health care or banking Many of those requirements and restrictions are outdated and were issued long before broadband Internet connections and mobile devices became ubiquitous ˲ Noteworthy uncertainties concerning legal compliance and conformance with international privacy requirements can be observed Providers are constantly faced with the challenge to design niche-oriented, demand-specific services in a legally compliant manner Reflecting these reasons for inhibiting cloud computing adoption, the environment surrounding cloud computing is characterized by uncertainty and a lack of transparency Yet, trust is necessary in situations in which the interested party is confronted with unViewpoint Cloud services Certification

134 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023667
20221,426
20212,136
20202,389
20192,358
20182,266