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Blockchain in the Payments Industry: Developing a Discussion Agenda Based on Pain Points and Opportunities

  • Friedrich Holotiuk
  • Jürgen Moormann
  • Francesco Pisani
Chapter

Abstract

Blockchain is known as a disruptive technology with multiple effects on companies, customers, and entire industries. For a long time, the analysis of the impact of information technology has been at the center of information systems research. If the impact is properly understood, appropriate actions for the players in an industry can be derived. In our chapter we set out to develop a discussion agenda that aims to advance the understanding of the impact blockchain might have on the payments industry and which can guide the further development in this field. In order to do so, we conducted a Delphi study among 45 experts and identified a large number of statements summarizing the potential development of blockchain. In the following we elaborate on the data gained from the Delphi study and discuss the statements in terms of two dimensions. First, as we observed different levels of consensus regarding the statements, we develop clusters based on three consensus criteria. Second, we build on thematic groups and discuss the ranking of the statements within these groups. We conclude by providing an agenda to push forward the discussion on the dissemination of blockchain in the payments field.

Keywords

Blockchain technology Payments industry Financial services sector Delphi study Experts Discussion agenda Impact Adoption Dissemination Pain points Challenges Consensus Agreement Unison Ranking 

References

  1. Adler, M., & Ziglio, E. (1996). Gazing into the Oracle: The Delphi method and its application to social policy and public health. London: Jessica Kingsley.Google Scholar
  2. Akkermans, H. A., Bogerd, P., Yücesan, E., & van Wassenhove, L. N. (2003). The impact of ERP on supply chain management: Exploratory findings from a European Delphi study. European Journal of Operational Research, 146(2), 284–301.CrossRefGoogle Scholar
  3. Beck, R., Stenum Czespluch, J., Lollike, N., & Malone, S. (2016). Blockchain – The gateway to trust-free cryptographic transactions. In Proceedings of the European Conference on Information Systems, Istanbul.Google Scholar
  4. Beck, R., Avital, M., Rossi, M., & Thatcher, J. B. (2017). Blockchain technology in business and information systems research. Business & Information Systems Engineering, 59(6), 381–384.CrossRefGoogle Scholar
  5. Bott, J., & Milkau, U. (2016). Towards a framework for the evaluation and Design of Distributed Ledger Technologies in banking and payments. Journal of Payments Strategy & Systems, 10(2), 153–171.Google Scholar
  6. Bower, J. L., & Christensen, C. M. (1995). Disruptive technologies: Catching the wave. Harvard Business Review, 73(1), 43–53.Google Scholar
  7. Crosby, M., Nachiappan, Pattanayak, P., Verma, S., & Kalyanaraman, V. (2016). Blockchain technology: Beyond bitcoin. Applied Innovation Review (White Paper, Issue No. 2), Berkeley.Google Scholar
  8. Depietro, R., Wiarda, E., & Fleischer, M. (1990). The context for change: Organization, technology and environment. In L. G. Tornatzky & M. Fleischer (Eds.), The processes of technological innovation (pp. 151–175). Lexington: Lexington Books.Google Scholar
  9. English, J. M., & Kernan, G. L. (1976). The prediction of air travel and aircraft technology to the year 2000 using the Delphi method. Transportation Research, 10(1), 1–8.CrossRefGoogle Scholar
  10. Fanning, K., & Centers, D. P. (2016). Blockchain and its coming impact on financial services. The Journal of Corporate Accounting & Finance, 27(5), 53–57.CrossRefGoogle Scholar
  11. Hallowell, R. (1996). The relationships of customer satisfaction, customer loyalty, and profitability: An empirical study. International Journal of Service Industry Management, 7(4), 27–42.CrossRefGoogle Scholar
  12. Hill, K. Q., & Fowles, J. (1975). The methodological worth of the Delphi forecasting technique. Technological Forecasting and Social Change, 7(2), 179–192.CrossRefGoogle Scholar
  13. Holotiuk, F., & Moormann, J. (2018). Organizational adoption of digital innovation: The case of blockchain technology. In Proceedings of the European conference on information systems. Portsmouth.Google Scholar
  14. Hyvärinen, H., Risius, M., & Friis, G. (2017). A Blockchain-based approach towards overcoming financial fraud in public sector services. Business & Information Systems Engineering, 59(6), 441–456.CrossRefGoogle Scholar
  15. Kahn, C. M., & Roberds, W. (2009). Why pay? An introduction to payments economics. Journal of Financial Intermediation, 18(1), 1–23.CrossRefGoogle Scholar
  16. Lee, J. H., & Pilkington, M. (2017). How the Blockchain revolution will reshape the consumer electronics industry. IEEE Consumer Electronics Magazine, 6(3), 19–23.CrossRefGoogle Scholar
  17. Linstone, H. A., & Turoff, M. (1975). The Delphi method: Techniques and applications. Reading: Addison-Wesley.Google Scholar
  18. Meredith, J. R., Raturi, A., Amoako-Gyampah, K., & Kaplan, B. (1989). Alternative research paradigms in operations. Journal of Operations Management, 8(4), 297–326.CrossRefGoogle Scholar
  19. Murry, J., & Hammons, J. (1995). Delphi: A versatile methodology for conducting qualitative research. The Review of Higher Education, 18(4), 423–436.CrossRefGoogle Scholar
  20. Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf. Accessed 5 June 2017.
  21. Nofer, M., Gomber, P., Hinz, O., & Schiereck, D. (2017). Blockchain. Business & Information Systems Engineering, 59(3), 183–187.CrossRefGoogle Scholar
  22. Okoli, C., & Pawlowski, S. D. (2004). The Delphi method as a research tool: An example, design considerations and applications. Information Management, 42(1), 15–29.CrossRefGoogle Scholar
  23. Parra Moyano, J., & Ross, O. (2017). KYC optimization using distributed ledger technology. Business & Information Systems Engineering, 59(6), 411–423.CrossRefGoogle Scholar
  24. Porter, M. E. (1980). Competitive strategy. New York: Free Press.Google Scholar
  25. Pousttchi, K., Moormann, J., & Felten, J. (2015). The impact of new media on Bank processes: A Delphi study. International Journal of Electronic Business, 12(1), 1–45.CrossRefGoogle Scholar
  26. Putnam, J. W., Spiegel, A. N., & Bruininks, R. H. (1995). Future directions in education and inclusion of students with disabilities: A Delphi investigation. Exceptional Children, 61(6), 553–576.CrossRefGoogle Scholar
  27. Rowe, G., & Wright, G. (1999). The Delphi technique as a forecasting tool: Issues and analysis. International Journal of Forecasting, 15(4), 353–375.CrossRefGoogle Scholar
  28. Rückeshäuser, N. (2017). Typology of distributed ledger based business models. In Proceedings of the European Conference on Information Systems (pp. 2202–2217), Guimareas.Google Scholar
  29. Scardovi, C. (2016). Restructuring and innovation in banking. Cham: Springer.CrossRefGoogle Scholar
  30. Schmidt, R. C. (1997). Managing Delphi surveys using nonparametric statistical techniques. Decision Sciences, 28(3), 763–774.CrossRefGoogle Scholar
  31. Swan, M. (2015). Blockchain: Blueprint for a new economy. Sebastopol: O’Reilly.Google Scholar
  32. Tapscott, D., & Tapscott, A. (2016). Blockchain revolution: How the technology behind bitcoin is changing money, business and the world. New York: Penguin.Google Scholar
  33. Tobergte, D. R., & Curtis, S. (2013). Characteristics of the Turfgrass industry in 2020: A Delphi study with implications for agricultural education programs. Journal of Chemical Information and Modeling, 53(9), 1689–1699.Google Scholar
  34. Tsai, W. T., Blower, R., Zhu, Y., & Yu, L. (2016). A system view of financial Blockchains. In Proceedings of the IEEE symposium on service-oriented system engineering (pp. 450–457). Oxford.Google Scholar
  35. Turoff, M. (1971). Delphi and its potential impact on information systems. In Proceedings of the AFIPS Fall Joint Computer Conference (pp. 317–326), Las Vegas.Google Scholar
  36. von der Gracht, H. A. (2012). Consensus measurement in Delphi studies: Review and implications for future quality assurance. Technological Forecasting and Social Change, 79(8), 1525–1536.CrossRefGoogle Scholar
  37. Wörner, D., von Bomhard, T., Schreier, Y.-P., & Bilgeri, D. (2016). The bitcoin ecosystem: Disruption beyond financial services? In Proceedings of the European Conference on Information Systems, Istanbul.Google Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Friedrich Holotiuk
    • 1
  • Jürgen Moormann
    • 1
  • Francesco Pisani
    • 1
  1. 1.Frankfurt School of Finance & ManagementFrankfurt am MainGermany

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