An Approach to Cluster EU Member States into Groups According to Pathways of <i>Salmonella</i> in the Farm‐to‐Consumption Chain for Pork Products

Vigre, Håkan; Domingues, Ana Rita Coutinho Calado; Pedersen, Ulrik Bo; Hald, Tine

doi:10.1111/risa.12579

Cited by 8 publications

(6 citation statements)

References 15 publications

(15 reference statements)

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“…Following the approach of previous researchers in this field (e.g. Osburg et al, 2016;Vigre et al, 2016), we aimed to identify the underlying structure of interrelationships between the five types of risk and the three factors that drive purchasing behaviour, before proceeding with cluster analysis to identify consumer taxonomies. We obtained composite factor scores for all the multi-item constructs via imputation using the Regression Method.…”

Section: Discussionmentioning

confidence: 99%

Risks and drivers of hybrid car adoption: A cross-cultural segmentation analysis

McLeay

Yoganathan

Osburg

et al. 2018

Journal of Cleaner Production

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Throughout the developed world, consumers are increasingly being encouraged to adopt cleaner, more eco-friendly behaviours. However, hybrid car adoption remains low, which impedes the move towards a lower carbon economy. In this paper, we examine the risks and drivers of hybrid car purchases, drawing on consumer behaviour and cultural dimensions theory to account for the heterogeneous, segmented nature of the market. As risk perceptions differ across cultures, and in order to address the lack of cross cultural research on eco-friendly cars, we focus on Australian, South Korean, and Japanese consumers. Based on a survey of 817 respondents we examine how five types of risk (social, psychological, time, financial, and network externalities) and three factors that drive purchasing behaviour (product advantages, product attractiveness, and product superiority) influence consumers perceptions of hybrid cars. Four segments of consumers are identified (pessimists, realists, optimists, and casualists) that also vary according to their environmental selfimage, and underlying cultural values. Our results extend theory by incorporating self-image and cultural dimension theories into a multi-country analysis of the risks and drivers of hybrid car adoption. Our findings have practical implications in terms of marketing strategies and potential policy interventions aimed at mitigating risk perceptions and promoting the factors that drive hybrid car adoption.

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Section: Discussionmentioning

confidence: 99%

Risks and drivers of hybrid car adoption: A cross-cultural segmentation analysis

McLeay

Yoganathan

Osburg

et al. 2018

Journal of Cleaner Production

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“…MSs can populate the QMRA with their own data, but to demonstrate the parameterization of the model four case study MSs were selected (MS1, MS2, MS3, MS4). To assist in the decision of the case study MSs, each MS was placed in one of four groups using cluster analysis methods . The criteria used for grouping were (1) size of farms (large/small); (2) size of abattoirs (large/small); and (3) consumption patterns (per capita consumption of pork and proportion of sausage consumed), thereby grouping MSs having similar production/consumption practices.…”

Section: A Qmra For the European Unionmentioning

confidence: 99%

A Quantitative Microbiological Risk Assessment for Salmonella in Pigs for the European Union

Snary

Swart²,

Simons

et al. 2016

Risk Analysis

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A farm-to-consumption quantitative microbiological risk assessment (QMRA) for Salmonella in pigs in the European Union has been developed for the European Food Safety Authority. The primary aim of the QMRA was to assess the impact of hypothetical reductions of slaughter-pig prevalence and the impact of control measures on the risk of human Salmonella infection. A key consideration during the QMRA development was the characterization of variability between E.U. Member States (MSs), and therefore a generic MS model was developed that accounts for differences in pig production, slaughterhouse practices, and consumption patterns. To demonstrate the parameterization of the model, four case study MSs were selected that illustrate the variability in production of pork meat and products across MSs. For the case study MSs the average probability of illness was estimated to be between 1 in 100,000 and 1 in 10 million servings given consumption of one of the three product types considered (pork cuts, minced meat, and fermented ready-to-eat sausages). Further analyses of the farm-to-consumption QMRA suggest that the vast majority of human risk derives from infected pigs with a high concentration of Salmonella in their feces (≥10(4) CFU/g). Therefore, it is concluded that interventions should be focused on either decreasing the level of Salmonella in the feces of infected pigs, the introduction of a control step at the abattoir to reduce the transfer of feces to the exterior of the pig, or a control step to reduce the level of Salmonella on the carcass post-evisceration.

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“…(j,k), but in this case the variation between simulations is larger than the effect of altering the value. [0.25,0.5, 1,2,3,4,5,6,7,8,9,10,12,14] Halving the storage…”

Section: Resultsmentioning

confidence: 99%

“…The estimation is illustrated by the baseline results, and validation thereof, from four case study MSs chosen to represent different methods of pork production in the European Union. (8) The relative effects of different control measures on the likelihood of human salmonellosis are presented elsewhere. (9)…”

Section: Introductionmentioning

confidence: 99%

Characterization of the Human Risk of Salmonellosis Related to Consumption of Pork Products in Different E.U. Countries Based on a QMRA

et al. 2016

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In response to the European Food Safety Authority's wish to assess the reduction of human cases of salmonellosis by implementing control measures at different points in the farm-to-consumption chain for pork products, a quantitative microbiological risk assessment (QMRA) was developed. The model simulated the occurrence of Salmonella from the farm to consumption of pork cuts, minced meat, and fermented ready-to-eat sausage, respectively, and a dose-response model was used to estimate the probability of illness at consumption. The QMRA has a generic structure with a defined set of variables, whose values are changed according to the E.U. member state (MS) of interest. In this article we demonstrate the use of the QMRA in four MSs, representing different types of countries. The predicted probability of illness from the QMRA was between 1 in 100,000 and 1 in 10 million per serving across all three product types. Fermented ready-to-eat sausage imposed the highest probability of illness per serving in all countries, whereas the risks per serving of minced meat and pork chops were similar within each MS. For each of the products, the risk varied by a factor of 100 between the four MSs. The influence of lack of information for different variables was assessed by rerunning the model with alternative, more extreme, values. Out of the large number of uncertain variables, only a few of them have a strong influence on the probability of illness, in particular those describing the preparation at home and consumption.

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An Approach to Cluster EU Member States into Groups According to Pathways of Salmonella in the Farm‐to‐Consumption Chain for Pork Products

Cited by 8 publications

References 15 publications

Risks and drivers of hybrid car adoption: A cross-cultural segmentation analysis

Risks and drivers of hybrid car adoption: A cross-cultural segmentation analysis

A Quantitative Microbiological Risk Assessment for Salmonella in Pigs for the European Union

Characterization of the Human Risk of Salmonellosis Related to Consumption of Pork Products in Different E.U. Countries Based on a QMRA

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