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Big data adoption in SMMEs
Mini Dissertation (MBA)--University of Pretoria, 2015.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2016
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| _version_ | 1867613731447373824 |
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| access_status_str | Open Access |
| author2 | Chipp, Kerry |
| author_browse | Chipp, Kerry |
| author_facet | Chipp, Kerry |
| collection | Thesis |
| dc_rights_str_mv | © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. |
| description | Mini Dissertation (MBA)--University of Pretoria, 2015. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/52297 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:48.647Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| 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:2263/52297 Big data adoption in SMMEs Chipp, Kerry ichelp@gibs.co.za Potter,Justin Gregory UCTD Mini Dissertation (MBA)--University of Pretoria, 2015. Big data and the use of big data analytics is being adopted more frequently, especially in large organisations that have the resources to deploy it. Big data analytics is allowing businesses to optimise operations and gain deeper insights into their customers needs and behaviours. There is, however, almost no published research into how big data analytics is being used by SMMEs and how they are doing this despite having constrained resources. The objective of this research was to explore the factors that contribute to the adoption of big data analytics in SMMEs. Nine qualitative, semi-structured interviews using the long interview method were conducted with respondents who worked in senior management positions in SMMEs that were using some form of big data analytics. Eight of these respondents were at EXCO level, seven had some level of business ownership and five were the Managing Directors of the organisation. The study found the use of evidence in decision-making and entrepreneurial orientation to be present. These organisations are both proactive and innovative, and limit their risk by the use of experimentation. This provides insights into how these companies develop novel business models through the use of cloud services and by providing the ability to digest and analyse data on their client s behalf. A framework is proposed and adapted. Suggestions for future research and limitations of the study are presented. sn2016 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2016-05-04T13:45:21Z 2016-05-04T13:45:21Z 2016-03-30 2015 Mini Dissertation Potter, G 2015, Big data adoption in SMMEs. MBA Mini-dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/52297> GIBS http://hdl.handle.net/2263/52297 en © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Big data adoption in SMMEs |
| title | Big data adoption in SMMEs |
| title_full | Big data adoption in SMMEs |
| title_fullStr | Big data adoption in SMMEs |
| title_full_unstemmed | Big data adoption in SMMEs |
| title_short | Big data adoption in SMMEs |
| title_sort | big data adoption in smmes |
| topic | UCTD |
| url | http://hdl.handle.net/2263/52297 |