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Social entrepreneurial marketing and innovation in B2B services: Building resilience with explainable artificial intelligence

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journal contribution
posted on 2025-05-13, 11:07 authored by Femi Olan, Thanos Papadopoulos, Konstantina Spanaki, Uchitha JayawickramaUchitha Jayawickrama

Explainable artificial intelligence (XAI) and other digital technologies are altering the nature of social entrepreneurship, marketing, and other service activities. The structures and strategies of entrepreneurs undergo radical change as a result of the impact of XAI on marketing and innovation. Despite the increased interest in business to business (B2B) literature, there are limitations on how and what circumstances the activities of B2B marketing on social entrepreneurship. Therefore, this study outlines how XAI will impact B2B services by building resilience during and after crisis events such as the COVID-19 pandemic. To develop an in-depth understanding on the theories of social entrepreneurship, B2B marketing, and emerging technologies, this study set apart and conceptualize relevant factors and linkages. The result shows that based on a survey of 295 samples of B2B services entrepreneurial businesses, XAI enhances the establishment of a sustainable resilience for B2B marketing activities and contribute to building social entrepreneurial strategies for B2B marketing innovation.

History

School

  • Loughborough Business School

Published in

Information Systems Frontiers

Publisher

Springer Nature

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Acceptance date

2024-12-17

Publication date

2025-01-25

Copyright date

2025

ISSN

1387-3326

eISSN

1572-9419

Language

  • en

Depositor

Dr Uchitha Jayawickrama. Deposit date: 27 January 2025