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This paper has presented our analysis of business models used in big data applications varying from smart routing applications to health care services

Business model canvas perspective on big data applications

Silicon Valley, CA, pp.32-37, (2013)

Cited by: 93|Views211
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Abstract

Large and complex data that becomes difficult to be handled by traditional data processing applications triggers the development of big data applications which have become more pervasive than ever before. In the era of big data, data exploration and analysis turned into a difficult problem in many sectors such as the smart routing and hea...More

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Introduction
  • A business model, as an institutionally constructed measure, is an aggregation of a set of underlying principles comprising an organization’s overall strategy that defines the extent to which the enterprise creates, delivers, sustains and even enhances different forms of value including, but not limited to, economic, social, cultural, technological, environmental or other forms of value.
  • A significant amount of literature exists on business models, all of which intend to explicitly define and classify how companies realize their business mission and related activities [1], [2], [3].
  • These studies differ in several respects.
  • Timmers’s study [4] which described a business
Highlights
  • A business model, as an institutionally constructed measure, is an aggregation of a set of underlying principles comprising an organization’s overall strategy that defines the extent to which the enterprise creates, delivers, sustains and even enhances different forms of value including, but not limited to, economic, social, cultural, technological, environmental or other forms of value
  • We explore the phenomenon of business models in big data applications and services such as location based services, medical services, and retail services
  • This paper has presented our analysis of business models used in big data applications varying from smart routing applications to health care services
  • To the best of our knowledge, this work is the first to study business models of big data applications according to the components of highlyreputed business model canvas
  • For each building element of the canvas, we have summarized the activities realized by big data application businesses in order to provide value propositions to their customers
  • Our analysis has showed the impact of big data on business models of data processing applications
Results
  • More than 70% of mobile phones are expected to have GPS capability by 2020 [8].
Conclusion
  • This paper has presented the analysis of business models used in big data applications varying from smart routing applications to health care services.
  • To the best of the knowledge, this work is the first to study business models of big data applications according to the components of highlyreputed business model canvas.
  • For each building element of the canvas, the authors have summarized the activities realized by big data application businesses in order to provide value propositions to their customers.
  • The authors' analysis has showed the impact of big data on business models of data processing applications
Funding
  • More than 70% of mobile phones are expected to have GPS capability by 2020 [8]
Reference
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  • P. Weill and M. Vitale, “What it infrastructure capabilities are needed to implement e-business models?” Mis Quarterly, vol. 1, no. 1, pp. 17–34, 2002.
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  • P. Timmers, “Business models for electronic markets,” Journal on Electronic Markets, vol. 8, no. 2, pp. 3–8, 1998.
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  • A. Osterwalder, “The business model ontology - a proposition in a design science approach,” Ph.D. dissertation, University of Lausanne, 2004.
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  • TechAmericaFoundationsFederalBigDataCommission. (2012) Demistifying big data: A practical guide to transforming the business of government. [Online]. Available: www.techamerica.org/Docs/fileManager.cfm?f=techamericabigdatareport-final.pdf
    Findings
  • J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. H. Byers, “Big data: The next frontier for innovation, competition, and productivity,” McKinsey Global Institute, Tech. Rep., 2011.
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  • [10] B. Kayyali, D. Knott, and S. V. Kuiken, “Big data revolution in healthcare: Accelerating value and innovation,” McKinsey and Company, Tech. Rep., 2013.
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