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Big data analytics and firm performance: The role of knowledge sharing and organisational factors
Mini Dissertation (MBA)--University of Pretoria, 2021.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2022
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| _version_ | 1867613679403401216 |
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| access_status_str | Open Access |
| author2 | Chiba, Manoj |
| author_browse | Chiba, Manoj |
| author_facet | Chiba, Manoj |
| collection | Thesis |
| dc_rights_str_mv | © 2020 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, 2021. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/85333 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:58.958Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/85333 Big data analytics and firm performance: The role of knowledge sharing and organisational factors Chiba, Manoj Mokhadinyana, Stephen Molise UCTD Mini Dissertation (MBA)--University of Pretoria, 2021. Despite most organisations adopting big data analytics capabilities as a strategic tool to navigating the highly competitive market environment and remaining competitive through tailor-made customer solutions, operational efficiencies and effective decision-making, only a limited number of organisations have benefited from big data-analytics investment and deployment. Thus, with the recorded success of companies like Amazon, Wal-Mart, Netflix and others, it became imperative for businesses to deconvolute the requirements for successful big data analytics deployment and value creation. Due the accelerated growth in data volume, variety, velocity and veracity much attention and research in recent times has focused on technical requirements for big data analytics capabilities value creation. However, even with the vast research data readily available on technical skills, technological capabilities and applications most organisations continue to grabble with extracting value from data at their disposal. This implies that there are other dimensions that contribute to big data analytics success in firms. Until these dimensions are fully understood individually or collectively by firms, value creation will continue to remain a challenge in this context. The research described herein therefore shifted focus from technical to non-technical capabilities and traits that an organisation should acquire to succeed with big data analytics capabilities. Consequently, the research used quantitative multivariate analysis to study the relationship between big data analytics application, knowledge or insights sharing and firm performance moderated by non-technical organisational factors such as organisational culture to decision making and entrepreneurial orientation. The research thus found a positive correlation between knowledge sharing and business performance but organisational culture and entrepreneurial orientation even though showing primarily a positive effect on firm performance showed insignificant moderating effect on knowledge sharing. This therefore suggests that if organisations want to impact performance they must first align their knowledge sharing variables and moderating factors relevantly to be effective in big data analytics value creation. zl22 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2022-05-17T11:20:16Z 2022-05-17T11:20:16Z 2022/04/07 2021 Mini Dissertation * https://repository.up.ac.za/handle/2263/85333 en © 2020 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 and firm performance: The role of knowledge sharing and organisational factors |
| title | Big data analytics and firm performance: The role of knowledge sharing and organisational factors |
| title_full | Big data analytics and firm performance: The role of knowledge sharing and organisational factors |
| title_fullStr | Big data analytics and firm performance: The role of knowledge sharing and organisational factors |
| title_full_unstemmed | Big data analytics and firm performance: The role of knowledge sharing and organisational factors |
| title_short | Big data analytics and firm performance: The role of knowledge sharing and organisational factors |
| title_sort | big data analytics and firm performance the role of knowledge sharing and organisational factors |
| topic | UCTD |
| url | https://repository.up.ac.za/handle/2263/85333 |