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European, Mediterranean, and Middle Eastern Conference on Information Systems

EMCIS 2020: Information Systems pp 360–369Cite as

Determinants of the Intention to Use Online P2P Platforms from the Seller’s Perspective

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 402))

Abstract

The exponential growth of online peer-to-peer (P2P) platforms paved the way for large-scale commerce between individuals. This work aims to evaluate the determinants of the intention to use these platforms by the sellers for the transaction of products and services, contributing to fill a gap in the literature. The results confirmed all the hypotheses of the research model, allowing us to conclude that the intention to use is strongly explained by performance expectation, habit, trust, and innovativeness. From the study it is possible to draw relevant implications for the academic world, as well as for the management of P2P platforms.

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Author information

Authors and Affiliations

  1. Polytechnic Institute of Coimbra, ESTGOH, Oliveira do Hospital, Rua General Santos, 3400-124, Costa, Portugal

    Nuno Fortes, Adriana Pires & Pedro Manuel do Espírito Santo

Authors
  1. Nuno Fortes
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  2. Adriana Pires
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  3. Pedro Manuel do Espírito Santo
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Corresponding author

Correspondence to Nuno Fortes .

Editor information

Editors and Affiliations

  1. Department of Digital Innovation, School of Business, University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

  3. School of Strategy and Leadership, Coventry University, Coventry, UK

    Muhammad Mustafa Kamal

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Fortes, N., Pires, A., do Espírito Santo, P.M. (2020). Determinants of the Intention to Use Online P2P Platforms from the Seller’s Perspective. In: Themistocleous, M., Papadaki, M., Kamal, M.M. (eds) Information Systems. EMCIS 2020. Lecture Notes in Business Information Processing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-63396-7_24

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  • DOI: https://doi.org/10.1007/978-3-030-63396-7_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63395-0

  • Online ISBN: 978-3-030-63396-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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