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Competitive intelligence at the Medical Research Council

Thesis (MPhil (Information Science))--University of Stellenbosch, 2006.

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Bibliographic Details
Main Author: Pietersen, Merle Anthea
Other Authors: Van der Walt, M. S.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2006
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access_status_str Open Access
author Pietersen, Merle Anthea
author2 Van der Walt, M. S.
author_browse Pietersen, Merle Anthea
Van der Walt, M. S.
author_facet Van der Walt, M. S.
Pietersen, Merle Anthea
author_sort Pietersen, Merle Anthea
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MPhil (Information Science))--University of Stellenbosch, 2006.
format Thesis
id oai:scholar.sun.ac.za:10019.1/3363
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:42:38.497Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2006
publishDateRange 2006
publishDateSort 2006
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/3363 Competitive intelligence at the Medical Research Council Pietersen, Merle Anthea Van der Walt, M. S. University of Stellenbosch. Faculty of Arts and Social Sciences. Dept. of Information Science. Business intelligence Business intelligence -- South Africa Medicine -- Research -- South Africa Competition Decision making Dissertations -- Information science Theses -- Information science Thesis (MPhil (Information Science))--University of Stellenbosch, 2006. The study was conducted to establish whether there is a need at the Medical Research Council for a formal CI function to be implemented. The objective of the investigation was to establish whether the CI techniques and methods, which are traditionally applied in the commercial industry, could be applied to a non-commercial industry, like the medical research industry in which the Medical Research Council operates. The aim is to highlight the benefits that CI could provide to the managerial decision-makers of the organisation. A quantitative study was done. A questionnaire was distributed to the identified target audience to collect empirical data for the study. A combination of random sampling techniques was used, namely simple random sampling and stratified random sampling to identify the potential target audience. Face-to-face interviews were done with the respondents to ensure high quality return due to the small sample size. The survey focused on establishing the needs and the wants of the employees of the Medical Research Council regarding CI functions. A theoretical study was combined with the data collected in the empirical study to achieve the above mentioned objective. By applying the CI techniques the organisation will be able to make sense of scattered bits of data. Data can be collected from the organisation`s surrounding business environments, the customers, the competitors, the market and the stakeholders. The CI Analyst can then make sense of the data by applying different methods of analysis and delivering the information to the decision-makers in a timely manner to ensure that informed decisions are taken. The CI-process should be holistic in nature. The three crucial elements required to perform a successful CI-process are the human intelligence techniques, communication processes and technology. With these elements in place managers will be able to make informed strategic, operational and tactical decisions to ensure competitive advantage is obtained and maintained. It can be concluded from the empirical data of this study that it is possible to apply the CI theory of the commercial industry to the non-profit medical research industry. Masters 2006-10-13T09:21:59Z 2010-07-09T11:08:36Z 2006-10-13T09:21:59Z 2010-07-09T11:08:36Z 2006-03 Thesis http://hdl.handle.net/10019.1/3363 en University of Stellenbosch 660025 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Business intelligence
Business intelligence -- South Africa
Medicine -- Research -- South Africa
Competition
Decision making
Dissertations -- Information science
Theses -- Information science
Pietersen, Merle Anthea
Competitive intelligence at the Medical Research Council
title Competitive intelligence at the Medical Research Council
title_full Competitive intelligence at the Medical Research Council
title_fullStr Competitive intelligence at the Medical Research Council
title_full_unstemmed Competitive intelligence at the Medical Research Council
title_short Competitive intelligence at the Medical Research Council
title_sort competitive intelligence at the medical research council
topic Business intelligence
Business intelligence -- South Africa
Medicine -- Research -- South Africa
Competition
Decision making
Dissertations -- Information science
Theses -- Information science
url http://hdl.handle.net/10019.1/3363
work_keys_str_mv AT pietersenmerleanthea competitiveintelligenceatthemedicalresearchcouncil