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Perceived Factors Influencing Blockchain Adoption in the Asset and Wealth Management Industry in the Western Cape, South Africa

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Evolving Perspectives on ICTs in Global Souths (IDIA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1236))

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Abstract

Blockchain is an archive of data records known as blocks with key functionalities that include validation, security and preservation. Blockchain has been applied in a wide range of industries, including the financial sector. However, little is known about its adoption and usefulness in industries operating within developing countries. Moreover, while some studies have focused on the financial sector, the Asset Wealth Management (AWM) industry remains relatively unexplored. This preliminary study has identified factors influencing the adoption of blockchain in the AWM industry in the Western Cape province of South Africa. Through a qualitative exploratory study, perceptions of AWM experts were gathered on how blockchain adoption is influenced by the technology’s compatibility, complexity and relative advantage. The influence of the South African context was also explored. A preliminary framework is being proposed that will inform an in-depth, longitudinal study on blockchain adoption and use within AWM organizations in South Africa.

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Author information

Authors and Affiliations

  1. University of Cape Town, Cape Town, South Africa

    Philip De Castro, Maureen Tanner & Kevin Johnston

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  1. Philip De Castro
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  2. Maureen Tanner
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  3. Kevin Johnston
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Correspondence to Maureen Tanner .

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Editors and Affiliations

  1. United Nations University Institute in Macau, Macau, China

    Don Rodney Junio

  2. University of South Africa, Roodepoort, South Africa

    Cecile Koopman

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De Castro, P., Tanner, M., Johnston, K. (2020). Perceived Factors Influencing Blockchain Adoption in the Asset and Wealth Management Industry in the Western Cape, South Africa. In: Junio, D., Koopman, C. (eds) Evolving Perspectives on ICTs in Global Souths. IDIA 2020. Communications in Computer and Information Science, vol 1236. Springer, Cham. https://doi.org/10.1007/978-3-030-52014-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-52014-4_4

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