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The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure

Mini Dissertation (MBA)--University of Pretoria, 2024.

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Other Authors: Makhubele, Lean
Format: Thesis
Language:English
Published: University of Pretoria 2025
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access_status_str Open Access
author2 Makhubele, Lean
author_browse Makhubele, Lean
author_facet Makhubele, Lean
collection Thesis
dc_rights_str_mv © 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.
description Mini Dissertation (MBA)--University of Pretoria, 2024.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:20.380Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher University of Pretoria
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spelling oai:repository.up.ac.za:2263/102074 The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure Makhubele, Lean ichelp@gibs.co.za Zondi, Sibahle Zamantungwa UCTD Big Data Analytics Big Data Analytics Capabilities Service Innovation Institutional Pressure State-Owned Enterprise Mini Dissertation (MBA)--University of Pretoria, 2024. Technological advances and trends such as connected devices, application of sensors, and online content have resulted in an increase in available data. This has led to an increased importance of big data analytics among researchers and managers, highlighting the value that big data analytics can bring to organizations. The study addresses a significant research gap in understanding how big data analytics capabilities (BDAC) influence service innovation within the context of stateowned enterprises (SOEs). While previous research has extensively explored the impact of BDAC on innovation in private and large multinational organizations, there is limited knowledge on its effects within SOEs, particularly in developing economies like South Africa. This study aims to also fill this gap by analysing the contextual environment by examining the role of institutional pressures in moderating the relationship between BDAC and service innovation. The purpose of the study is to determine the impact of BDAC on service innovation in SOEs and to provide insights for SOE leaders on how to invest in BDAC to enhance efficiency and performance through service innovation. The research also seeks to uncover the role of institutional pressures in moderating this relationship A quantitative mono study methodology was conducted, involving a survey distributed to employees in various SOEs in South Africa. The data collected was analysed using statistical methods, including Structured Equation Modelling, Pearson’s correlation, Spearman’s rho correlation, and linear regression analysis. The results indicate that BDAC has a positive and significant impact on service innovation in SOEs. Among the BDAC components, intangible capabilities were found to have the most significant impact on service innovation. Additionally, the study found that institutional pressures, particularly normative and mimetic pressures, positively moderate the relationship between BDAC and service innovation. Coercive pressure, however, did not show a significant moderating effect. In conclusion, the study highlights the importance of investing BDAC to drive service innovation in SOEs. It also emphasizes the need for SOE leaders to foster a datadriven culture and organizational learning to maximize the benefits of BDAC. The findings suggest that while institutional pressures can enhance the impact of BDAC on service innovation, the role of coercive pressure is less significant. Future research should explore the dynamic capabilities view of BDAC and its impact on ii service innovation over time, as well as the development of a standard BDAC model for different contexts. Gordon Institute of Business Science (GIBS) MBA Unrestricted Gordon Institute of Business Science (GIBS) SDG-09: Industry, innovation and infrastructure 2025-04-15T08:01:21Z 2025-04-15T08:01:21Z 2025-05-05 2024-11 Mini Dissertation * A2025 http://hdl.handle.net/2263/102074 en © 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. application/pdf University of Pretoria
spellingShingle UCTD
Big Data Analytics
Big Data Analytics Capabilities
Service Innovation
Institutional Pressure
State-Owned Enterprise
The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure
title The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure
title_full The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure
title_fullStr The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure
title_full_unstemmed The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure
title_short The impact of big data analytics capabilities on service innovation in state-owned enterprises : the moderating role of institutional pressure
title_sort impact of big data analytics capabilities on service innovation in state owned enterprises the moderating role of institutional pressure
topic UCTD
Big Data Analytics
Big Data Analytics Capabilities
Service Innovation
Institutional Pressure
State-Owned Enterprise
url http://hdl.handle.net/2263/102074