The adoption of artificial intelligence and customer value creation in emerging market telecommunications industry

dc.contributor.advisorLew, Charlene
dc.contributor.emailichelp@gibs.co.zaen_US
dc.contributor.postgraduateFakudze, Msimisi Nico Themba
dc.date.accessioned2025-03-25T08:13:31Z
dc.date.available2025-03-25T08:13:31Z
dc.date.created2025-05-05
dc.date.issued2024-11
dc.descriptionMini Dissertation (MPhil (Corporate Strategy))--University of Pretoria, 2024.en_US
dc.description.abstractArtificial intelligence (AI) has emerged as one of the sources of business value. However, extant literature places little emphasis on the use of AI in emerging markets and has minimal focus on the telecommunications industry. In response, this research explores the nature of AI adoption and customer value creation in emerging market telecommunications firms. Based on the technology-organisation-environment (TOE) framework, the enablers, obstacles and outcomes of AI adoption and customer value creation are explored for in-depth insights. Primary data was gathered through 12 semi-structured interviews with industry decisionmakers and consultants. The participants work for organisations in three emerging market economies, allowing for a fair comparison across different markets and organisations. The approach used to analyse the primary data was thematic analysis. Secondary data was retrieved from internet searches for telecommunications industry reports and company annual integrated reports to retrieve any customer benefits and trends regarding AI adoption. The research findings highlight similarities to the literature on the TOE framework and identify new enablers, obstacles, and outcomes specific to the emerging market telecommunications industry. This research contributes to the extant theoretical literature on AI adoption by exploring the TOE framework in this context. Furthermore, new insights on customer value creation were developed from decision-makers’ perceptions of the emerging market telecommunications industry. Moreover, the study provides a conceptual framework for AI adoption's enablers, obstacles and outcomes for customer value creation in emerging market telecommunications firms. Finally, the study provides practical recommendations to managers regarding strategic considerations to guide the successful adoption of AI in emerging market telecommunications. The study's limitations include covering only some emerging market telecommunications and looking at customer value creation as the business value for AI adoption when AI adoption can provide other business value.en_US
dc.description.availabilityUnrestricteden_US
dc.description.degreeMPhil (Corporate Strategy)en_US
dc.description.departmentGordon Institute of Business Science (GIBS)en_US
dc.description.facultyGordon Institute of Business Science (GIBS)en_US
dc.description.sdgSDG-09: Industry, innovation and infrastructureen_US
dc.identifier.citation*en_US
dc.identifier.otherA2025en_US
dc.identifier.urihttp://hdl.handle.net/2263/101684
dc.language.isoenen_US
dc.publisherUniversity of Pretoria
dc.rights© 2024 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subjectUCTDen_US
dc.subjectArtificial intelligence (AI)en_US
dc.subjectCustomer value creationen_US
dc.subjectTelecommunicationsen_US
dc.subjectEmerging marketsen_US
dc.subjectTechnology adoptionen_US
dc.subjectAI adoptionen_US
dc.titleThe adoption of artificial intelligence and customer value creation in emerging market telecommunications industryen_US
dc.typeMini Dissertationen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Fakudze_Adoption_2024.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: