Title page for etd-0228118-161602


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URN etd-0228118-161602
Author Sacha Deloras
Author's Email Address N0716077@ntu.ac.uk
Statistics This thesis had been viewed 5351 times. Download 0 times.
Department Master of Global Human Resource Management
Year 2017
Semester 2
Degree Master
Type of Document
Language English
Title THE EVOLUTION OF THE BITCOIN BUSINESS ECOSYSTEM FROM 2010 TO 2015: A VISUALIZATION APPROACH
Date of Defense 2018-03-01
Page Count 69
Keyword
  • Evolution
  • Network visualisation
  • Bitcoin
  • Bitcoin industry
  • Bitcoin business ecosystem
  • Bitcoin network
  • Abstract Bitcoin is a decentralised digital currency system conceived by a mysterious individual or group using going by the pseudonym “Satoshi Nakamoto”. The concept will most certainly revolutionise our conception of money and of value transfer in general. Despite a discreet launch in 2009, it developed itself into a multi-billion dollar industry in a few years, and was followed by the emergence of many other cryptocurrencies. Little research was conducted so far to analyse the dynamic ecosystems that were created around these networks. The purpose of this project is therefore to study the inception of the Bitcoin industry, its development, and to put a name on the factors driving its development. To that extend, an explanation of the Bitcoin concept and its feature is presented with the aim of helping the reader to understand the cryptocurrency system. Then, the review of the existing literature explores the key concepts of business ecosystems, their evolution trajectories, and Bitcoin and cryptocurrencies, and presents the research gap that this paper aims at answering. The boundaries of the study are set, and will focus on the business sector itself. Then, a theoretical market segmentation framework was created and applied to a dataset of more than 500 entities that are part of this ecosystem and that are or were dealing with Bitcoin at some point of their lives. For being able to visually explore the development of the industry’s structure, network graphs were created over a time frame from 2010-2015. The key findings are displayed, and several driving factors of evolution are presented. Finally, the findings are discussed and linked to the existing research, and exiting new ideas of future research are proposed.
    Advisory Committee
  • Linda Chen - chair
  • Olu - co-chair
  • Michael - advisor
  • David C. McConville - advisor
  • Files
  • etd-0228118-161602.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2018-03-28

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