Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction

The consumption of meat and meat products has been cited as the most critical area to be addressed if we are to meet a sustainable future diet, regarding the impact on climate change and health. The numerous sustainability concerns that have been raised have stimulated calls to reduce the quantity o...

Full description

Bibliographic Details
Main Author: Ransome, Kristin
Other Authors: Lappeman, James
Format: Dissertation
Language:English
Published: Faculty of Commerce 2020
Subjects:
Online Access:http://hdl.handle.net/11427/31014
id ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-31014
record_format oai_dc
spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-310142020-10-06T05:11:33Z Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction Ransome, Kristin Lappeman, James Meat Consumption Meat-Reduced Diets Integrative Model of Behavioural Prediction Descriptive Resea South Africa The consumption of meat and meat products has been cited as the most critical area to be addressed if we are to meet a sustainable future diet, regarding the impact on climate change and health. The numerous sustainability concerns that have been raised have stimulated calls to reduce the quantity of meat people in general eat, and have created an on-going global debate among policymakers, academics and practitioners. This research makes use of the Integrative Model of Behavioural Prediction (IMBP) in order to isolate the key determinants of what drives the intentions of middle to upper-income South Africans to engage in a meat-reduced diet (MRD). A two-phase methodology was utilised, by firstly conducting an elicitation study to identify the salient beliefs present in the population, and secondly by conducting a population survey to quantify the cognitive foundation of this behaviour. The empirical results showed that the areas of cognition which most strongly predict whether one intends to engage in an MRD were instrumental attitude, experiential attitude and injunctive norms. This study makes three primary contributions. Firstly, a theoretical contribution, through providing insight into how behavioural themes and beliefs materialise into changes in meat-consumption. Secondly, marketing practitioners can benefit from the insight offered by IMBP, which is valuable as it helps to identify what behavioural shift is required to promote MRDs. Lastly, this study contributes to the methodology utilised when applying the IMBP by applying the model to dietary behaviour, which has received comparatively less attention in the past. 2020-02-11T11:26:41Z 2020-02-11T11:26:41Z 2018 2020-01-29T07:50:05Z Master Thesis Masters MBusSci http://hdl.handle.net/11427/31014 eng application/pdf Faculty of Commerce School of Management Studies
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Meat Consumption
Meat-Reduced Diets
Integrative Model of Behavioural Prediction
Descriptive Resea
South Africa
spellingShingle Meat Consumption
Meat-Reduced Diets
Integrative Model of Behavioural Prediction
Descriptive Resea
South Africa
Ransome, Kristin
Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction
description The consumption of meat and meat products has been cited as the most critical area to be addressed if we are to meet a sustainable future diet, regarding the impact on climate change and health. The numerous sustainability concerns that have been raised have stimulated calls to reduce the quantity of meat people in general eat, and have created an on-going global debate among policymakers, academics and practitioners. This research makes use of the Integrative Model of Behavioural Prediction (IMBP) in order to isolate the key determinants of what drives the intentions of middle to upper-income South Africans to engage in a meat-reduced diet (MRD). A two-phase methodology was utilised, by firstly conducting an elicitation study to identify the salient beliefs present in the population, and secondly by conducting a population survey to quantify the cognitive foundation of this behaviour. The empirical results showed that the areas of cognition which most strongly predict whether one intends to engage in an MRD were instrumental attitude, experiential attitude and injunctive norms. This study makes three primary contributions. Firstly, a theoretical contribution, through providing insight into how behavioural themes and beliefs materialise into changes in meat-consumption. Secondly, marketing practitioners can benefit from the insight offered by IMBP, which is valuable as it helps to identify what behavioural shift is required to promote MRDs. Lastly, this study contributes to the methodology utilised when applying the IMBP by applying the model to dietary behaviour, which has received comparatively less attention in the past.
author2 Lappeman, James
author_facet Lappeman, James
Ransome, Kristin
author Ransome, Kristin
author_sort Ransome, Kristin
title Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction
title_short Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction
title_full Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction
title_fullStr Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction
title_full_unstemmed Intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction
title_sort intentions to engage in a meat-reduced diet: an application of the integrative model of behavioural prediction
publisher Faculty of Commerce
publishDate 2020
url http://hdl.handle.net/11427/31014
work_keys_str_mv AT ransomekristin intentionstoengageinameatreduceddietanapplicationoftheintegrativemodelofbehaviouralprediction
_version_ 1719350098709708800