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Factors influencing the Return on Investment of Initial Coin Offerings (ICOs): Exploration of ICO companies
National Taipei University of Technology, Taiwan.
Örebro University, Örebro University School of Business.ORCID iD: 0000-0002-7907-6037
National Taipei University of Technology, Taiwan.
National Taipei University of Technology, Taiwan.
2022 (English)In: NMIMS Management Review, ISSN 0971-1023, Vol. 30, no 5, p. 65-80Article in journal (Refereed) Published
Abstract [en]

Purpose: This research, therefore, examines internal as well as external factors that may influence ICO’s return on investment (ROI) by collecting data from 100 ICO companies with positive ROI between 2018 and 2020.

Design/Methodology/Approach: Overall, this is mixed-method research. Based on a literature review a conceptual research model has been proposed which includes internal and external factors ( incl. 9 hypotheses) that affect ICO ROI. A multiple regression analysis was employed to examine the causal relationships in the proposed research model.

Findings: The results indicate that internal factors such as publication of source codes on GitHub, relevant ICO expert ratings, ETH platform usage, and pre-ICO processes and external factors such as Google search data and number of tweets positively influence ICO ROI. The findings reveal that expert ratings and the number of tweets are the most critical internal and external factors.

Practical Implications & value: The findings and suggestions provided in this study will help the relevant investors for increasing public trust in the ICO market and enhancing investors' interest in this are areas of investment.

Place, publisher, year, edition, pages
Mumbai, India: School of Business Management, Narsee Monjee Institute of Management Studies, Mumbai , 2022. Vol. 30, no 5, p. 65-80
Keywords [en]
Financial technology, Cryptocurrency, Initial Coin Offering, Return on investment
National Category
Business Administration Information Systems, Social aspects
Research subject
Business Studies; Informatics
Identifiers
URN: urn:nbn:se:oru:diva-102639ISI: 000932390900004OAI: oai:DiVA.org:oru-102639DiVA, id: diva2:1717931
Available from: 2022-12-10 Created: 2022-12-10 Last updated: 2024-06-03Bibliographically approved

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Islam, M. Sirajul

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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