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Understanding the adoption of business intelligence in decision-making within the IT distribution industry
Mini Dissertation (MBA)--University of Pretoria, 2017.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2018
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| _version_ | 1867613515130339328 |
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| access_status_str | Open Access |
| author2 | Vermaak, Andre |
| author_browse | Vermaak, Andre |
| author_facet | Vermaak, Andre |
| collection | Thesis |
| dc_rights_str_mv | © 2018 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, 2017. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/64849 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:22.258Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| 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:2263/64849 Understanding the adoption of business intelligence in decision-making within the IT distribution industry Vermaak, Andre ichelp@gibs.co.za Grevler, Lori UCTD Mini Dissertation (MBA)--University of Pretoria, 2017. Demand visibility in the distribution supply chain is obscured for IT distributors because there is limited sight of the end-consumer. Therefore, it is important that distributors collect and analyse reseller data to obtain valuable insights. This assists in adding value to the supply chain. However, few South African distributors have adopted business intelligence (BI) which enables this analysis. Consequently, the objective of the study was to understand how senior management used BI to drive evidence-based decisions. The exploratory study employed qualitative methods to explore the adoption of BI among senior management in the South African distribution industry. A predominantly inductive approach was used to interpret the interview results. These insights created the basis on which the conceptual model of evidence-based decision-making was built. The findings were that critical success factors of BI adoption supported and extended the existing literature. Though the consistent adoption of BI was lacking, evidence was found in support of the information processing capability of BI. The presence of senior managementÕs absorptive capacity played a direct role in the successful adoption of BI. These provided further evidence that data-driven decisions required a combination of managementÕs ability to synthesise data and capitalise on the opportunities presented in the data. Data, used effectively, allowed for improved demand visibility within the distribution channel. za2018 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2018-05-11T09:02:38Z 2018-05-11T09:02:38Z 30-03-18 2017 Mini Dissertation Grevler, L 2017, Understanding the adoption of business intelligence in decision-making within the IT distribution industry, MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/64849> http://hdl.handle.net/2263/64849 en © 2018 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 Understanding the adoption of business intelligence in decision-making within the IT distribution industry |
| title | Understanding the adoption of business intelligence in decision-making within the IT distribution industry |
| title_full | Understanding the adoption of business intelligence in decision-making within the IT distribution industry |
| title_fullStr | Understanding the adoption of business intelligence in decision-making within the IT distribution industry |
| title_full_unstemmed | Understanding the adoption of business intelligence in decision-making within the IT distribution industry |
| title_short | Understanding the adoption of business intelligence in decision-making within the IT distribution industry |
| title_sort | understanding the adoption of business intelligence in decision making within the it distribution industry |
| topic | UCTD |
| url | http://hdl.handle.net/2263/64849 |