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Marco Boeri

Bio: Marco Boeri is an academic researcher from Queen's University Belfast. The author has contributed to research in topics: Regret & Medicine. The author has an hindex of 15, co-authored 57 publications receiving 1797 citations. Previous affiliations of Marco Boeri include Research Triangle Park & RTI International.


Papers
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Journal ArticleDOI
TL;DR: Compared to other decision support tools, the STARTEC-tool is product-specific and multidisciplinary and includes interpretation and targeted recommendations for end-users.
Abstract: A prototype decision support IT-tool for the food industry was developed in the STARTEC project. Typical processes and decision steps were mapped using real life production scenarios of participating food companies manufacturing complex ready-to-eat foods. Companies looked for a more integrated approach when making food safety decisions that would align with existing HACCP systems. The tool was designed with shelf life assessments and data on safety, quality, and costs, using a pasta salad meal as a case product. The process flow chart was used as starting point, with simulation options at each process step. Key parameters like pH, water activity, costs of ingredients and salaries, and default models for calculations of Listeria monocytogenes, quality scores, and vitamin C, were placed in an interactive database. Customization of the models and settings was possible on the user-interface. The simulation module outputs were provided as detailed curves or categorized as "good"; "sufficient"; or "corrective action needed" based on threshold limit values set by the user. Possible corrective actions were suggested by the system. The tool was tested and approved by end-users based on selected ready-to-eat food products. Compared to other decision support tools, the STARTEC-tool is product-specific and multidisciplinary and includes interpretation and targeted recommendations for end-users.

1,187 citations

Journal ArticleDOI
TL;DR: In this paper, the authors introduce the discrete choice model-paradigm of Random Regret Minimization (RRM) to the field of environmental and resource economics, and compare RRM-based models with RUM-based ones in terms of parameter estimates, goodness of fit, elasticities and consequential policy implications.
Abstract: This paper introduces the discrete choice model-paradigm of Random Regret Minimization (RRM) to the field of environmental and resource economics. The RRM-approach has been very recently developed in the context of travel demand modelling and presents a tractable, regret-based alternative to the dominant choice-modelling paradigm based on Random Utility Maximization-theory (RUM-theory). We highlight how RRM-based models provide closed form, logit-type formulations for choice probabilities that allow for capturing semi-compensatory behaviour and choice set-composition effects while being equally parsimonious as their utilitarian counterparts. Using data from a Stated Choice-experiment aimed at identifying valuations of characteristics of nature parks, we compare RRM-based models and RUM-based models in terms of parameter estimates, goodness of fit, elasticities and consequential policy implications.

80 citations

Journal ArticleDOI
TL;DR: This paper conducted a discrete choice experiment survey with 536 women aged 18-30 years to assess preferences for hypothetical HIV prevention products characterized by the attributes of efficacy, pregnancy prevention, delivery form, dosing frequency, and side effects.
Abstract: Background Integrating end-user perspectives into the design of new biomedical HIV prevention products is recognized as vital to informing the product development pipeline. Setting Kisumu, Kenya; and Soshanguve, South Africa. Methods We conducted a discrete choice experiment survey with 536 women aged 18-30 years to assess preferences for hypothetical HIV prevention products characterized by the attributes of efficacy, pregnancy prevention, delivery form, dosing frequency, and side effects. Participants included product-experienced women from Tablet, Ring, Injection as Options TRIO, a cross-over clinical study evaluating 3 placebo delivery forms (oral tablets, vaginal rings, and injections), and a product-naive sample recruited from the same communities. Analyses used random parameters logit and latent class models. Results HIV prevention efficacy was a strong determinant of stated choice overall; however, in South Africa, delivery form was just as important, with an injection every 2-3 months most preferred and a daily oral tablet least preferred. In Kenya, product-experienced women preferred monthly injections and least preferred a monthly ring. Respondents indicated a preference for multipurpose prevention technologies that combine HIV and pregnancy protection. Latent class analyses confirmed these findings and delineated heterogeneity in preferences across subgroups defined by age, past experience with the delivery forms, and education. Conclusions Despite an overall preference for products with high efficacy, we identified attributes salient to future uptake and use of HIV prevention products. Preferences for injectable products underscored interest in this pre-exposure prophylaxis delivery form. Likewise, the multipurpose prevention technology feature was valued in both Kenya and South Africa and most influenced interest in vaginal rings.

65 citations

Journal ArticleDOI
TL;DR: It is found in a field study that learning and fatigue behavior may only be exhibited by a small subset of respondents, but most respondents in the sample show preference and variance stability consistent with rational pre-existent and well formed preferences.
Abstract: While the repeated nature of discrete choice experiments is advantageous from a sampling efficiency perspective, patterns of choice may differ across the tasks, due, in part, to learning and fatigue. Using probabilistic decision process models, we find in a field study that learning and fatigue behavior may only be exhibited by a small subset of respondents. Most respondents in our sample show preference and variance stability consistent with rational pre-existent and well formed preferences. Nearly all of the remainder exhibit both learning and fatigue effects. An important aspect of our approach is that it enables learning and fatigue effects to be explored, even though they were not envisaged during survey design or data collection.

48 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate consumers' preferences across Europe for a selected ready meal, ready to heat (RTH) fresh lasagne, to consider whether the effects of potential food frauds on consumers' choices can be mitigated by introducing enhanced standards of RTH products.
Abstract: Purpose – In 2012, the European food industry was hit by a food fraud: horsemeat was found in pre-prepared foods, without any declaration on the package. This is commonly referred to as the “horsemeat scandal”. The purpose of this paper is to investigate consumers’ preferences across Europe for a selected ready meal, ready to heat (RTH) fresh lasagne, to consider whether the effects of potential food frauds on consumers’ choices can be mitigated by introducing enhanced standards of RTH products. Design/methodology/approach – An online survey was administered to 4,598 consumers of RTH lasagne in six European countries (Republic of Ireland, France, Italy, Spain, Germany and Norway), applying discrete choice experiments to estimate consumers’ willingness to pay for enhanced food safety standards and highlight differences between countries. Findings – Many similarities across countries emerged, as well as some differences. Consumers in Europe are highly concerned with the authenticity of the meat in ready mea...

48 citations


Cited by
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Book
01 Jan 2009

8,216 citations

Journal ArticleDOI
TL;DR: Compared to other decision support tools, the STARTEC-tool is product-specific and multidisciplinary and includes interpretation and targeted recommendations for end-users.
Abstract: A prototype decision support IT-tool for the food industry was developed in the STARTEC project. Typical processes and decision steps were mapped using real life production scenarios of participating food companies manufacturing complex ready-to-eat foods. Companies looked for a more integrated approach when making food safety decisions that would align with existing HACCP systems. The tool was designed with shelf life assessments and data on safety, quality, and costs, using a pasta salad meal as a case product. The process flow chart was used as starting point, with simulation options at each process step. Key parameters like pH, water activity, costs of ingredients and salaries, and default models for calculations of Listeria monocytogenes, quality scores, and vitamin C, were placed in an interactive database. Customization of the models and settings was possible on the user-interface. The simulation module outputs were provided as detailed curves or categorized as "good"; "sufficient"; or "corrective action needed" based on threshold limit values set by the user. Possible corrective actions were suggested by the system. The tool was tested and approved by end-users based on selected ready-to-eat food products. Compared to other decision support tools, the STARTEC-tool is product-specific and multidisciplinary and includes interpretation and targeted recommendations for end-users.

1,187 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a set of guidelines for stated preference studies that are more comprehensive than those of the original National Oceanic and Atmospheric Administration (NOAA) Blue Ribbon Panel on contingent valuation, and reflect the two decades of research since that time.
Abstract: This article proposes contemporary best-practice recommendations for stated preference (SP) studies used to inform decision making, grounded in the accumulated body of peer-reviewed literature. These recommendations consider the use of SP methods to estimate both use and non-use (passive-use) values, and cover the broad SP domain, including contingent valuation and discrete choice experiments. We focus on applications to public goods in the context of the environment and human health but also consider ways in which the proposed recommendations might apply to other common areas of application. The recommendations recognize that SP results may be used and reused (benefit transfers) by governmental agencies and nongovernmental organizations, and that all such applications must be considered. The intended result is a set of guidelines for SP studies that is more comprehensive than that of the original National Oceanic and Atmospheric Administration (NOAA) Blue Ribbon Panel on contingent valuation, is more germane to contemporary applications, and reflects the two decades of research since that time. We also distinguish between practices for which accumulated research is sufficient to support recommendations and those for which greater uncertainty remains. The goal of this article is to raise the quality of SP studies used to support decision making and promote research that will further enhance the practice of these studies worldwide.

896 citations

Book ChapterDOI
01 Jan 2020
TL;DR: The US Food and Drug Administration (FDA) regulates medical devices primarily through the law known as the Federal Food, Drug, and Cosmetic Act, as Amended (FD&C Act, or “the Act”) as discussed by the authors.
Abstract: The US Food and Drug Administration (FDA) regulates medical devices primarily through the law known as the Federal Food, Drug, and Cosmetic Act, as Amended (“the FD&C Act,” or “the Act”). Regulations promulgated by FDA in Title 21 of the Code of Federal Regulations (CFR) spell out the broad provisions contained in the Act.

701 citations