scholarly journals Emulating Agricultural Disease Management: Comparing Risk Preferences Between Industry Professionals and Online Participants Using Experimental Gaming Simulations and Paired Lottery Choice Surveys

2021 ◽  
Vol 7 ◽  
Author(s):  
Eric M. Clark ◽  
Scott C. Merrill ◽  
Luke Trinity ◽  
Gabriela Bucini ◽  
Nicholas Cheney ◽  
...  

Mitigating the spread of disease is crucial for the well-being of agricultural production systems. Implementing biosecurity disease prevention measures can be expensive, so producers must balance the costs of biosecurity investments with the expected benefits of reducing the risk of infections. To investigate the risk associated with this decision making process, we developed an online experimental game that simulates biosecurity investment allocation of a pork production facility during an outbreak. Participants are presented with several scenarios that vary the visibility of the disease status and biosecurity protection implemented at neighboring facilities. Certain rounds allowed participants to spend resources to reduce uncertainty and reveal neighboring biosecurity and/or disease status. We then test how this uncertainty affects the decisions to spend simulation dollars to increase biosecurity and reduce risk. We recruited 50 attendees from the 2018 World Pork Expo to participate in our simulation. We compared their performance to an opportunity sample of 50 online participants from the survey crowdsourcing tool, Amazon Mechanical Turk (MTurk). With respect to biosecurity investment, we did not find a significant difference between the risk behaviors of industry professionals and those of MTurk participants for each set of experimental scenarios. Notably, we found that our sample of industry professionals opted to pay to reveal disease and biosecurity information more often than MTurk participants. However, the biosecurity investment decisions were not significantly different during rounds in which additional information could be purchased. To further validate these findings, we compared the risk associated with each group's responses using a well-established risk assessment survey implementing paired lottery choices. Interestingly, we did not find a correlation in risk quantified with simulated biosecurity investment in comparison to the paired lottery choice survey. This may be evidence that general economic risk preferences may not always translate into simulated behavioral risk, perhaps due to the contextual immersion provided by experimental gaming simulations. Online recruitment tools can provide cost effective research quality data that can be rapidly assembled in comparison to industry professionals, who may be more challenging to sample at scale. Using a convenience sample of industry professionals for validation can also provide additional insights into the decision making process. These findings lend support to using online experimental simulations for interpreting risk associated with a complex decision mechanism.

2005 ◽  
Vol 4 (2) ◽  
Author(s):  
Djuwari . ◽  
Tatik Suryani

How to make ethical decision making is very important in many aspect managerial process, because its implication can impact many other activities. Research found that many unethical behavior in business process is caused by unethical decision making. The recent research indicates that gender has important role in decision making process. The research is aimed to examine the effects of gender in decision making process in management. Beside it, the research also wants to examine the influence of moral reasoning to ethical decision making. Research involved 105 respondent from many non profit organizations located in East Java. By using t-test, the result reveals that there is significant difference between women and man in decision making. Women more ethical in decision making than men, in some aspect. Women more commit to autonomy, equality, win-win principle and moral integrity. By using simple regression analysis, the result indicates that moral reasoning influences significantly to ethical decision making. This research support the previously research that is conducted by Glover (2002) which the culture setting similarly with this research. The result can't be separated by the Indonesia cultural that expect women more ethical, obedience and respect to moral value.


2004 ◽  
Vol 9 (1) ◽  
pp. 41-43
Author(s):  
Cynthia Chernecky ◽  
Katherine Nugent ◽  
Jennifer L. Waller ◽  
Denise Macklin

Abstract The purposes of this study were to describe who should be involved in the vascular access device (VAD) decision-making process, according to patients and caregivers, and to describe if there were differences associated with persons involved in the selection of VADs according to race and gender. Convenience sample included 32 oncology out-patients and 10 caregivers from the southern United States. There were differences by race and sex in decision-making priorities of patients with vascular access devices indwelling; however, these were not statistically significant. Patients, physicians, and oncology nurses were viewed by both patients and caregivers as significant to the decision-making process. In contrast, caregivers were ranked as the least significant by both patients and caregivers. Females chose the physician as the primary decision-maker while males chose the patient as the primary decision-maker.


2014 ◽  
pp. 137-147
Author(s):  
Judith Aufenthie

Creating optimal well being is a multifaceted, complex process. It involves many biological, psychological, physical, behavioral, emotional as well as neurobiological factors which all interact and effect the choices we make and changes that we are able to implement. Research has begun to connect with the decision making process to better understand how our decisions and choices are made. This research coupled with research and evidence based models provides integrative nurses and patients with validated tools to optimize change and wellness.


Author(s):  
Alan J. Dettlaff ◽  
Dana Hollinshead ◽  
Donald J. Baumann ◽  
John D. Fluke

When children come to the attention of the child welfare system, they become involved in a decision-making process in which decisions are made that have a significant effect on their future and well-being. The decision to remove children from their families is particularly complex, yet surprisingly little is understood about this decision-making process. As a result, instrumentation has been developed and adapted over the past 20 years to further understand variations in child welfare outcomes that are decision-based and, in particular concerning the removal decision, in order to provide a more thorough understanding of the intersecting factors that influence caseworker decisions. This chapter presents research and the development and use of this instrument, drawing from the decision-making ecology as the underlying rationale for obtaining the measures. The instrument was based on the development of decision-making scales used in multiple studies and administered to child protection caseworkers in several states. This effort is part of a larger program of research that seeks to better understand decision-making processes in child welfare systems in order to promote fairness, accuracy, and improved outcomes among children and families.


2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Ida Ayu Gede Rat Praba Ari ◽  
Dewi Puri Astiti

The use of health insurance is highly related with a person’s life depending on the perception of an individual and health belief model they own. Perception and health belief model bear an important role in determining how a person percieve their future especially related to health and older age well-being. One alternative in promising older age well being and health is through health insurance. This research was aimed to determine the role of individual perception upon insurance and health belief model in decision making process using life insurance. The method of this research is using quantitative method. The subjects of this research were the individuals using life insurance. The total subject in this research is 90 whom were selected using cluster random sampling.   For hypothesis, the data was analyzed using multiple regression. The result of multiple regression analysis in this study is 0.764. Relative contribution of perception variable is 98.38% and the health belief model variable is 1.61%. Effective contribution of perception variable is 57.45% and the health belief model variable is 0.94%. This results show that there is a relation between the role of individual perception upon insurance and health belief model in decision making process using life insurance. However, when the data was analyzed using partial correlation, only individual perception of insurance variable has a relation with decision making variable.   Keyword        : Perception, Health Belief Model, Life Insurance


Author(s):  
Ashley Wiltshire ◽  
Lynae M Brayboy ◽  
Kiwita Phillips ◽  
Roland Matthews ◽  
Fengxia Yan ◽  
...  

Abstract Background To assess infertility knowledge and treatment beliefs among African American women in an urban community in Atlanta, Georgia. Methods This was a cross sectional study at a safety net hospital. A convenience sample of a total of 158 women receiving outpatient obstetrical or gynecologic care from March–April 2017 were recruited. Infertility knowledge and treatment beliefs were assessed using a previously applied and field-tested survey from the International Fertility Decision Making Study. Results The mean infertility knowledge score was 38.15% for total subjects. Those with a higher level of education (p < 0.0001) and those with paid employment (p = 0.01) had a significantly higher level of infertility knowledge. Those who had a history of infertility therapy were significantly more likely to agree with negative treatment beliefs (p = 0.01). There was no significant difference in infertility knowledge or treatment beliefs based on age, sexuality, parity or being pregnant at the time of survey completion. Conclusions African American women in our urban clinic setting seem to have a limited level of knowledge pertaining to infertility. Further research is needed to understand how differences in knowledge and beliefs translate into infertility care decision-making and future childbearing.


2018 ◽  
Vol 10 (12) ◽  
pp. 4702 ◽  
Author(s):  
Federica Angeli ◽  
Shila Teresa Ishwardat ◽  
Anand Kumar Jaiswal ◽  
Antonio Capaldo

Delivery of affordable healthcare services to communities is a necessary precondition to poverty alleviation. Co-creation approaches to the development of business models in the healthcare industry proved particularly suitable for improving the health-seeking behavior of BOP patients. However, scant research was conducted to understand BOP consumers’ decision-making process leading to specific healthcare choices in slum settings, and the relative balance of socio-cultural and socio-economic factors underpinning patients’ preferences. This article adopts a mixed-method approach to investigate the determinants of BOP patients’ choice between private and public hospitals. Quantitative analysis of a database, composed of 436 patients from five hospitals in Ahmedabad, India, indicates that BOP patients visit a public hospital significantly more than top-of-the-pyramid (TOP) patients. However, no significant difference emerges between BOP and TOP patients for inpatient or outpatient treatments. Qualitative findings based on 21 interviews with BOP consumers from selected slum areas led to the development of a grounded theory model, which highlights the role of aspirational demand of BOP patients toward private healthcare providers. Overall, healthcare provider choice emerges as the outcome of a collective socio-cultural decision-making process, which often assigns preference for private healthcare services because of the higher perceived quality of private providers, while downplaying affordability concerns. Implications for healthcare providers, social entrepreneurs, and policy-makers are discussed.


Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 815
Author(s):  
Carlo Ricciardi ◽  
Halldór Jónsson ◽  
Deborah Jacob ◽  
Giovanni Improta ◽  
Marco Recenti ◽  
...  

There are two surgical approaches to performing total hip arthroplasty (THA): a cemented or uncemented type of prosthesis. The choice is usually based on the experience of the orthopaedic surgeon and on parameters such as the age and gender of the patient. Using machine learning (ML) techniques on quantitative biomechanical and bone quality data extracted from computed tomography, electromyography and gait analysis, the aim of this paper was, firstly, to help clinicians use patient-specific biomarkers from diagnostic exams in the prosthetic decision-making process. The second aim was to evaluate patient long-term outcomes by predicting the bone mineral density (BMD) of the proximal and distal parts of the femur using advanced image processing analysis techniques and ML. The ML analyses were performed on diagnostic patient data extracted from a national database of 51 THA patients using the Knime analytics platform. The classification analysis achieved 93% accuracy in choosing the type of prosthesis; the regression analysis on the BMD data showed a coefficient of determination of about 0.6. The start and stop of the electromyographic signals were identified as the best predictors. This study shows a patient-specific approach could be helpful in the decision-making process and provide clinicians with information regarding the follow up of patients.


2016 ◽  
Vol 8 (4) ◽  
pp. 270-287 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal

Purpose The purpose of this paper is to investigate the relationship between rational decision-making and behavioural biases among individual investors in India, as well as to examine the influence of demographic variables on rational decision-making process and how those differences manifest themselves in the form of behavioural biases. Design/methodology/approach Using a structured questionnaire, a total of 386 valid responses have been collected from May to October 2015. Statistical techniques like t-test, analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) test have been used in this study. Structural equation modelling (SEM) has been used to analyse the relationship between rational decision-making and behavioural biases. Findings The findings show that the structural path model closely fits the sample data, indicating investors follow a rational decision-making process while investing. However, behavioural biases also arise in different stages of the decision-making process. It further explores that gender and income have a significant difference with respect to rational decision-making process. Male investors are more prone to overconfidence and herding bias in India. Research limitations/implications The findings of the study have significant implication for the individual investors. It is recommended that if individuals are aware about the biases, they may become alert before taking irrational investment decisions. Originality/value To best of the authors’ knowledge, the present study is a first of its kind to investigate the relationship between rational decision-making and behavioural biases among individual investors in India.


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