Eliciting agents’ behaviour using scenario-based questionnaire in agent-based dairy supply chain simulation

Utomo, Dhanan Sarwo; Onggo, Bhakti Stephan; Eldridge, Stephen; Daud, Andre Rivianda; Tejaningsih, Safitri

doi:10.1080/17477778.2020.1753251

Cited by 10 publications

(2 citation statements)

References 51 publications

(53 reference statements)

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“…Therefore, in this study, an ABM is developed to simulate the rice production activity in rice milling units and give the rice production capacity during the normal and COVID-19 pandemic. This type of ABM simulation is classified as a realistic model since it involves realistic mechanisms (Utomo et al, 2020). The simulation begins with the normal condition for the first year.…”

Section: Agent-based Modelling Simulation Resultsmentioning

confidence: 99%

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Achmad¹,

Chaerani²,

Perdana³

2021

Heliyon

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Section: Agent-based Modelling Simulation Resultsmentioning

confidence: 99%

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Achmad¹,

Chaerani²,

Perdana³

2021

Heliyon

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“…Questionnaires on habits and practices were developed in a classical format of direct questions without scenarios (cf. as well S1).In the literature, scenario-based questions have been used in other settings to assess cultural orientations, modelling, and simulation (34,35). Our goal was to create a narrative around the survey questions, considering both respondents' potential lack of knowledge or opinions on these perspectives (36), as well as to make notions and implications of research participation less abstract and closer to daily life.…”

Section: Questionnaire Developmentmentioning

confidence: 99%

Willingness to participate in a personalized health cohort – Insights from the Swiss Health Study pilot phase

Bühler,

Frahsa,

Jaramillo

et al. 2024

Preprint

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Background This paper explores the feasibility of establishing a personalized health cohort by assessing potential participants’ needs, expectations, and concerns. Methods Employing a participatory approach, we utilized a scenario-based questionnaire in the Swiss Health Study pilot phase (2020-2021involving 1349 adults aged 20–69 from the cantons Vaud and Bern. We conducted descriptive statistics supported by R and qualitative content analysis for open responses related to attitude towards research. We highlight the benefits and challenges of the scenario-based approach, discuss the sample represented in the pilot phase, and implications for building a full cohort, and present participants’ attitudes towards and previous experience with health research. We analyze references regarding informed consent and feedback, attitudes towards a Swiss Health Study, and recommendations on how to improve its scope, design, and instruments. Results Results indicate a high interest (90%) in participating in a national health study, with 85% of a random population sample willing to join a long-term cohort. Only 43% were familiar with biobanks, and 44% preferred general consent. Trust was high for Swiss-based public research but lower for researchers outside the country or in the private sector. Over 95% expressed willingness to complete online questionnaires, undergo physical examination, and donate biosamples. Almost all participants wanted to know the outcomes of medical visits (99.5%), and environmental exposure assessments (95%). Preferred tools for monitoring sleep, physical activity, and diet were known smartphone apps with automatic data management. Conclusion Overall, the study reveals a positive attitude towards personalized health research, with a strong willingness to share data and samples. Key insights focus on informed consent variations, cohort participation and representativeness, and the significance of personalized feedback —especially regarding environmental health concerns. Findings emphasize participants’ supportive yet reflexive stances, underscoring the importance of aligning research values with individual values in personalized health research. These insights contribute valuable considerations for refining the scope, design, and instruments of future cohort studies.

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A systematic review of agent-based modeling and simulation applications for analyzing pro-environmental behaviors

Ribeiro-Rodrigues,

Bortoleto

2024

Sustainable Production and Consumption

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Eliciting agents’ behaviour using scenario-based questionnaire in agent-based dairy supply chain simulation

Cited by 10 publications

References 51 publications

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Willingness to participate in a personalized health cohort – Insights from the Swiss Health Study pilot phase

A systematic review of agent-based modeling and simulation applications for analyzing pro-environmental behaviors

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