Optimum market-positioning models for South African arts festival scenarios

The purpose of the study was to develop an optimum market-positioning model for the special interest tourism market to support arts festivals in South Africa (SA). Three subareas were deemed essential for the model, namely determining which attributes contribute to the success of three arts festival...

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Main Author: Van Zyl, Cina
Other Authors: Brits, Anton, 1948-
Format: Others
Language:en
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10500/1246
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-unisa-oai-umkn-dsp01.int.unisa.ac.za-10500-12462016-04-16T04:07:43Z Optimum market-positioning models for South African arts festival scenarios Van Zyl, Cina Brits, Anton, 1948- Strydom, J. W. (Johan Wilhelm), 1952- Botha, C. Game theory Conjoint analysis Market-positioning model Special interest tourism Tourism Arts festivals 338.479168 Tourism and the arts -- South Africa Art festivals -- South Africa Conjoint analysis (Marketing) -- South Africa Game theory The purpose of the study was to develop an optimum market-positioning model for the special interest tourism market to support arts festivals in South Africa (SA). Three subareas were deemed essential for the model, namely determining which attributes contribute to the success of three arts festival scenarios, comparing the different arts festival packages as a tourism attraction and then combining these subareas to develop a model enabling future researchers and marketers to present a successful arts festival in South Africa. The three main arts festivals in South Africa, at Potchefstroom, Grahamstown and Oudtshoorn, were studied. Screening questions followed by judgmental and quota sampling were used to select only like-minded respondents from festival attendees on a scenario basis. In personal interviews the data were collected and then analysed using conjoint analysis and game theory. Conjoint analysis was used in a linear regression model with individual ratings for each product. The average of the r-squares in this study was 0,83, indicating a good fit between data and model developed. Then these results were used in the game theory, comparing the three arts festival scenarios to identify the most successful tourism attraction. A different combination of attributes gave each of the three festival scenarios an optimum market position in its own niche market. The study contributes to the existing body of positioning knowledge, specifically in the festivals and events domain. It also adds value as this model can be applied to other festivals in South Africa and also to other business sectors. Transport Economy, Logistics & Tourism D. Com. (Tourism Management) 2009-08-25T10:50:58Z 2009-08-25T10:50:58Z 2005-11 2005-10-30 Thesis http://hdl.handle.net/10500/1246 en 1 online resource (xv, 418 leaves)
collection NDLTD
language en
format Others
sources NDLTD
topic Game theory
Conjoint analysis
Market-positioning model
Special interest tourism
Tourism
Arts festivals
338.479168
Tourism and the arts -- South Africa
Art festivals -- South Africa
Conjoint analysis (Marketing) -- South Africa
Game theory
spellingShingle Game theory
Conjoint analysis
Market-positioning model
Special interest tourism
Tourism
Arts festivals
338.479168
Tourism and the arts -- South Africa
Art festivals -- South Africa
Conjoint analysis (Marketing) -- South Africa
Game theory
Van Zyl, Cina
Optimum market-positioning models for South African arts festival scenarios
description The purpose of the study was to develop an optimum market-positioning model for the special interest tourism market to support arts festivals in South Africa (SA). Three subareas were deemed essential for the model, namely determining which attributes contribute to the success of three arts festival scenarios, comparing the different arts festival packages as a tourism attraction and then combining these subareas to develop a model enabling future researchers and marketers to present a successful arts festival in South Africa. The three main arts festivals in South Africa, at Potchefstroom, Grahamstown and Oudtshoorn, were studied. Screening questions followed by judgmental and quota sampling were used to select only like-minded respondents from festival attendees on a scenario basis. In personal interviews the data were collected and then analysed using conjoint analysis and game theory. Conjoint analysis was used in a linear regression model with individual ratings for each product. The average of the r-squares in this study was 0,83, indicating a good fit between data and model developed. Then these results were used in the game theory, comparing the three arts festival scenarios to identify the most successful tourism attraction. A different combination of attributes gave each of the three festival scenarios an optimum market position in its own niche market. The study contributes to the existing body of positioning knowledge, specifically in the festivals and events domain. It also adds value as this model can be applied to other festivals in South Africa and also to other business sectors. === Transport Economy, Logistics & Tourism === D. Com. (Tourism Management)
author2 Brits, Anton, 1948-
author_facet Brits, Anton, 1948-
Van Zyl, Cina
author Van Zyl, Cina
author_sort Van Zyl, Cina
title Optimum market-positioning models for South African arts festival scenarios
title_short Optimum market-positioning models for South African arts festival scenarios
title_full Optimum market-positioning models for South African arts festival scenarios
title_fullStr Optimum market-positioning models for South African arts festival scenarios
title_full_unstemmed Optimum market-positioning models for South African arts festival scenarios
title_sort optimum market-positioning models for south african arts festival scenarios
publishDate 2009
url http://hdl.handle.net/10500/1246
work_keys_str_mv AT vanzylcina optimummarketpositioningmodelsforsouthafricanartsfestivalscenarios
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