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Competing in low-income markets using dynamic and adaptive market sensing capabilities

Dissertation (MBA)--University of Pretoria, 2013.

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Other Authors: Ismail, Tashmia
Format: Thesis
Language:English
Published: University of Pretoria 2014
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access_status_str Open Access
author2 Ismail, Tashmia
author_browse Ismail, Tashmia
author_facet Ismail, Tashmia
collection Thesis
dc_rights_str_mv © 2014 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 Dissertation (MBA)--University of Pretoria, 2013.
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institution University of Pretoria (South Africa)
language English
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license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2014
publishDateRange 2014
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publisher University of Pretoria
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spelling oai:repository.up.ac.za:2263/40066 Competing in low-income markets using dynamic and adaptive market sensing capabilities Ismail, Tashmia ichelp@gibs.co.za Bailey, Cameron J UCTD Low-income markets Dissertation (MBA)--University of Pretoria, 2013. Firms targeting high-income consumers are finding their markets becoming increasingly saturated and this has caused a shift in focus to the extensive base of low-income consumers. The opportunity and wealth that is present in the low-income segment has been iterated in numerous instances, yet the challenges to compete in this market are plentiful. To better understand the low-income market and their needs, firms need to develop strong market sensing capabilities that allow them to interpret and develop insights into this market. This report seeks to better understand the adaptive and dynamic nature of these market sensing capabilities and how firms are using these to compete in low-income markets. A qualitative design was followed where 12 senior managers from 11 firms competing in the South African low-income market were interviewed. This was facilitated by a semi-structured in-depth interview method. An inductive and deductive analysis approach was used to interpret the findings against existing models, as well as to discover new themes emerging from the data. The findings included three key themes: the use of mixed method market sensing practices to adapt to the market; improving the capability through continuous sensing, responding and learning; and influencing success by creating an adaptive internal environment. Based on these findings, a framework for competing in low-income markets using market sensing capabilities was constructed. mngibs2014 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2014-06-07T13:14:32Z 2014-06-07T13:14:32Z 2014-04-30 2014-06-07 Mini Dissertation Bailey, CJ 2014-06-07, Competing in low-income markets using dynamic and adaptive market sensing capabilities, MBA Mini- Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/40066> http://hdl.handle.net/2263/40066 en © 2014 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
Low-income markets
Competing in low-income markets using dynamic and adaptive market sensing capabilities
title Competing in low-income markets using dynamic and adaptive market sensing capabilities
title_full Competing in low-income markets using dynamic and adaptive market sensing capabilities
title_fullStr Competing in low-income markets using dynamic and adaptive market sensing capabilities
title_full_unstemmed Competing in low-income markets using dynamic and adaptive market sensing capabilities
title_short Competing in low-income markets using dynamic and adaptive market sensing capabilities
title_sort competing in low income markets using dynamic and adaptive market sensing capabilities
topic UCTD
Low-income markets
url http://hdl.handle.net/2263/40066