Behavioral Model to Understand Household-Level Hurricane Evacuation Decision Making

2011 ◽  
Vol 137 (5) ◽  
pp. 341-348 ◽  
Author(s):  
Samiul Hasan ◽  
Satish Ukkusuri ◽  
Hugh Gladwin ◽  
Pamela Murray-Tuite
Keyword(s):  
Decision Making ◽  
Behavioral Model ◽  
Hurricane Evacuation ◽  
Household Level

The influence of price and promotion on package size propensity

2017 ◽  
Vol 32 (2) ◽  
pp. 93-103
Author(s):  
Amit K. Ghosh
Keyword(s):  
Decision Making ◽  
Product Category ◽  
Relative Price ◽  
Grocery Stores ◽  
Consumer Decision Making ◽  
Content Type ◽  
Household Level ◽  
Packaged Goods ◽  
Package Size ◽  
The Impact

Purpose The constantly changing prices, promotions, and packaging options have made decision making more complex for consumers of packaged goods. The purpose of this paper is to explore how price and promotions influence consumer propensity to buy a certain package size. Design/methodology/approach Scanner panel data for shelf-stable salad dressing obtained from Information Resources Inc. were used to compute the proportion of large packages bought, the relative price paid for large packages, propensity to use various types of promotions, and a behavioral covariate for each household. Data of over 5,600 households were analyzed using a multiple regression analysis for hypothesis testing. Findings The positive nature of relationship between the relative price of large packages and the proportion of large packages bought demonstrates the suboptimal nature of consumer decision making. The inefficiency is partially attributable to the abundance of promotions, to consumers’ lack of price awareness, and to the use of heuristics by consumers. Also, consumers who are prone to use promotions such as displays and temporary price reductions tend to purchase larger packages. They are more likely to buy impulsively and base their decisions on heuristics. In contrast, consumers who are influenced by featured price cuts and who utilize coupons tend to purchase smaller packages. Research limitations/implications Data were obtained from grocery stores; only a single product category was studied. Practical implications Offer coupons and advertise featured price cuts on small packages to increase the sales of smaller packages. To move large packages successfully, retailers should rely more on in-store displays and temporary price reductions. Originality/value The impact of price and promotions on package size propensity has never been investigated. This study is also one of the few that uses a household-level analysis based on observable purchase data for consumer packaged goods.

scholarly journals Variability in Action Selection Relates to Striatal Dopamine 2/3 Receptor Availability in Humans: A PET Neuroimaging Study Using Reinforcement Learning and Active Inference Models

2020 ◽  
Vol 30 (6) ◽  
pp. 3573-3589 ◽  
Author(s):  
Rick A Adams ◽  
Michael Moutoussis ◽  
Matthew M Nour ◽  
Tarik Dahoun ◽  
Declan Lewis ◽  
...  
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Model Comparison ◽  
Behavioral Model ◽  
Action Selection ◽  
Striatal Dopamine ◽  
Active Inference ◽  
Inference Models ◽  
Positron Emission ◽  
Dopamine Signaling

Abstract Choosing actions that result in advantageous outcomes is a fundamental function of nervous systems. All computational decision-making models contain a mechanism that controls the variability of (or confidence in) action selection, but its neural implementation is unclear—especially in humans. We investigated this mechanism using two influential decision-making frameworks: active inference (AI) and reinforcement learning (RL). In AI, the precision (inverse variance) of beliefs about policies controls action selection variability—similar to decision ‘noise’ parameters in RL—and is thought to be encoded by striatal dopamine signaling. We tested this hypothesis by administering a ‘go/no-go’ task to 75 healthy participants, and measuring striatal dopamine 2/3 receptor (D2/3R) availability in a subset (n = 25) using [11C]-(+)-PHNO positron emission tomography. In behavioral model comparison, RL performed best across the whole group but AI performed best in participants performing above chance levels. Limbic striatal D2/3R availability had linear relationships with AI policy precision (P = 0.029) as well as with RL irreducible decision ‘noise’ (P = 0.020), and this relationship with D2/3R availability was confirmed with a ‘decision stochasticity’ factor that aggregated across both models (P = 0.0006). These findings are consistent with occupancy of inhibitory striatal D2/3Rs decreasing the variability of action selection in humans.

Women’s participation in decision-making and its implications for human capital investment

2020 ◽  
Vol 47 (5) ◽  
pp. 1803-1825 ◽  
Author(s):  
Orkhan Sariyev ◽  
Tim K Loos ◽  
Manfred Zeller
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Capital Investment ◽  
Dietary Diversity ◽  
Positive Association ◽  
Household Decision ◽  
Household Level ◽  
Household Decision Making ◽  
Women's Participation ◽  
Participation In Decision Making

Abstract We evaluate the implications of women’s participation in domestic decision-making on diets and investments in human resources in Ethiopian rural households. We create a metric to capture intra-household decision-making, which we use to estimate a positive association between women’s participation in decision-making and household-level dietary diversity. Moreover, we find that an increase in women’s participation in intra-household decision-making is associated with higher financial investments in human resources.

scholarly journals Sensory and decisional components of endogenous attention are dissociable

2019 ◽  
Vol 122 (4) ◽  
pp. 1538-1554 ◽  
Author(s):  
Sanjna Banerjee ◽  
Shrey Grover ◽  
Suhas Ganesh ◽  
Devarajan Sridharan
Keyword(s):  
Decision Making ◽  
Spatial Attention ◽  
Behavioral Model ◽  
Neural Correlates ◽  
Endogenous Attention ◽  
Perceptual Sensitivity ◽  
Spatial Choice ◽  
Attention Task ◽  
Choice Bias ◽  
Differential Risk

Endogenous cueing of attention enhances sensory processing of the attended stimulus (perceptual sensitivity) and prioritizes information from the attended location for guiding behavioral decisions (spatial choice bias). Here, we test whether sensitivity and bias effects of endogenous spatial attention are under the control of common or distinct mechanisms. Human observers performed a multialternative visuospatial attention task with probabilistic spatial cues. Observers’ behavioral choices were analyzed with a recently developed multidimensional signal detection model (the m-ADC model). The model effectively decoupled the effects of spatial cueing on sensitivity from those on spatial bias and revealed striking dissociations between them. Sensitivity was highest at the cued location and not significantly different among uncued locations, suggesting a spotlight-like allocation of sensory resources at the cued location. On the other hand, bias varied systematically with cue validity, suggesting a graded allocation of decisional priority across locations. Cueing-induced modulations of sensitivity and bias were uncorrelated within and across subjects. Bias, but not sensitivity, correlated with key metrics of prioritized decision-making, including reaction times and decision optimality indices. In addition, we developed a novel metric, differential risk curvature, for distinguishing bias effects of attention from those of signal expectation. Differential risk curvature correlated selectively with m-ADC model estimates of bias but not with estimates of sensitivity. Our results reveal dissociable effects of endogenous attention on perceptual sensitivity and choice bias in a multialternative choice task and motivate the search for the distinct neural correlates of each. NEW & NOTEWORTHY Attention is often studied as a unitary phenomenon. Yet, attention can both enhance the perception of important stimuli (sensitivity) and prioritize such stimuli for decision-making (bias). Employing a multialternative spatial attention task with probabilistic cueing, we show that attention affects sensitivity and bias through dissociable mechanisms. Specifically, the effects on sensitivity alone match the notion of an attentional “spotlight.” Our behavioral model enables quantifying component processes of attention, and identifying their respective neural correlates.

scholarly journals Who Will Stay, Who Will Leave: Decision-Making of Residents Living in Potential Hurricane Impact Areas During a Hypothetical Hurricane Event in the Rio Grande Valley

2018 ◽  
Vol 15 (2) ◽  
Author(s):  
Dean Kyne ◽  
Arlett Sophia Lomeli ◽  
William Donner ◽  
Erika Zuloaga
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Online Survey ◽  
Geographical Location ◽  
Rio Grande Valley ◽  
Rio Grande ◽  
Systematic Research ◽  
Hurricane Evacuation ◽  
Safe Place ◽  
Non Governmental Organizations

Abstract The Rio Grande Valley (RGV) has been impacted by various hurricanes throughout history. While Hurricane evacuation has been studied extensively in other contexts, there is limited systematic research on the warning and response to a large-scale severe weather event in South Texas. This study attempts to understand the evacuation decision-making behavior of Southern residents in the event of a Hurricane making landfall over the Rio Grande Valley. The study uses an online survey questionnaire with 1060 participants: 275 students attending the University of Texas-Rio Grande Valley and the remaining 785 are members of the community. Throughout the course of the study, information was gathered about selected elements: demographic characteristics, living conditions, the following and awareness of authority recommendations, decision maker roles, reasons for not wanting to leave a disaster-prone area facing an emergency, perception of a safe place, and expected help from both, governments and non-governmental organizations (NGOs) during evacuation that could impact residents’ evacuation decision. Findings reveal there are a number of individuals who will remain in their place of residence, even in the deadliest of hurricane Category 5. The study provides complex factors influencing the nature of evacuation decision-making of individuals who are Hispanics living in a unique geographical location of RGV.

scholarly journals WITHDRAWN–Administrative Duplicate Publication—Get it Together! Synergistic Effects of Causal and Effectual Decision–Making Logics on Venture Performance

2018 ◽  
pp. etap.12266 ◽  
Author(s):  
Katrin M. Smolka ◽  
Ingrid Verheul ◽  
Katrin Burmeister–Lamp ◽  
Pursey P.M.A.R. Heugens
Keyword(s):  
Decision Making ◽  
Gender Gap ◽  
Synergistic Effects ◽  
Meta Analysis ◽  
Behavioral Model ◽  
Theory And Practice ◽  
Entrepreneurial Activity ◽  
Venture Performance ◽  
Entrepreneurship Theory ◽  
Entrepreneurial Activities

Kiss, A. N., Fernhaber, S., & McDougall–Covin, P. P. (2018). Slack, Innovation, and Export Intensity: Implications for Small– and Medium–Sized Enterprises. Entrepreneurship Theory and Practice. Jiang, H., Cannella, A. A., & Jiao, J. (2018). Does Desperation Breed Deceiver? A Behavioral Model of New Venture Opportunism. Entrepreneurship Theory and Practice. Hechavarría, D. M., Terjesen, S. A., Stenholm, P., Brännback, M., & Lång, S. (2018). More than Words: Do Gendered Linguistic Structures Widen the Gender Gap in Entrepreneurial Activity? Entrepreneurship Theory and Practice. Verver, M., & Koning, J. (2018). Toward a Kinship Perspective on Entrepreneurship. Entrepreneurship Theory and Practice. Fang He, V., Sirén, C., Singh, S., Solomon, G., & von Krogh, G. (2018). Keep Calm and Carry On: Emotion Regulation in Entrepreneurs’ Learning from Failure. Entrepreneurship Theory and Practice. Smolka, K. M., Verheul, I., Burmeister–Lamp, K., & Heugens, P. P. M. A. R. (2018). Get it Together! Synergistic Effects of Causal and Effectual Decision–Making Logics on Venture Performance. Entrepreneurship Theory and Practice. Covin, J. G., Garrett, R. P., Gupta, J. P., Kuratko, D. F., & Shepherd, D. A. (2018). The Interdependence of Planning and Learning among Internal Corporate Ventures. Entrepreneurship Theory and Practice. Schwens, C., Zapkau, F. B., Bierwerth, M., Isidor, R., Knight, G., & Kabst, R. (2018). International Entrepreneurship: A Meta–Analysis on the Internationalization and Performance Relationship. Entrepreneurship Theory and Practice. Li, C., Isidor, R., Dau, L. A., & Kabst, R. (2018). The More the Merrier? Immigrant Share and Entrepreneurial Activities. Entrepreneurship Theory and Practice. Articles Withdrawn by Publisher SAGE Publishing regrets that these articles, due to an administrative error, were accidentally published OnlineFirst and in Volume 42 Issue 4 or in Volume 42 Issue 5 with different DOIs. The correct and citable versions of the articles remain Kiss, A. N., Fernhaber, S., & McDougall–Covin, P. P. (2018). Slack, Innovation, and Export Intensity: Implications for Small– and Medium–Sized Enterprises. Entrepreneurship Theory and Practice, 42(5), 671–697. https://doi.org/10.1177/1042258718795318 Jiang, H., Cannella, A. A., & Jiao, J. (2018). Does Desperation Breed Deceiver? A Behavioral Model of New Venture Opportunism. Entrepreneurship Theory and Practice, 42(5), 769–796. https://doi.org/10.1177/1042258718795347 Hechavarría, D. M., Terjesen, S. A., Stenholm, P., Brännback, M., & Lång, S. (2018). More than Words: Do Gendered Linguistic Structures Widen the Gender Gap in Entrepreneurial Activity? Entrepreneurship Theory and Practice, 42(5), 797–817. https://doi.org/10.1177/1042258718795350 Verver, M., & Koning, J. (2018). Toward a Kinship Perspective on Entrepreneurship. Entrepreneurship Theory and Practice, 42(4), 631–666. https://doi.org/10.1177/1042258718783431 Fang He, V., Sirén, C., Singh, S., Solomon, G., & von Krogh, G. (2018). Keep Calm and Carry On: Emotion Regulation in Entrepreneurs’ Learning from Failure. Entrepreneurship Theory and Practice, 42(4), 605–630. https://doi.org/10.1177/1042258718783428 Smolka, K. M., Verheul, I., Burmeister–Lamp, K., & Heugens, P. P. M. A. R. (2018). Get it Together! Synergistic Effects of Causal and Effectual Decision–Making Logics on Venture Performance. Entrepreneurship Theory and Practice, 42(4), 571–604. https://doi.org/10.1177/1042258718783429 Covin, J. G., Garrett, R. P., Gupta, J. P., Kuratko, D. F., & Shepherd, D. A. (2018). The Interdependence of Planning and Learning among Internal Corporate Ventures. Entrepreneurship Theory and Practice, 42(4), 537–570. https://doi.org/10.1177/1042258718783430 Schwens, C., Zapkau, F. B., Bierwerth, M., Isidor, R., Knight, G., & Kabst, R. (2018). International Entrepreneurship: A Meta–Analysis on the Internationalization and Performance Relationship. Entrepreneurship Theory and Practice, 42(5), 734–768. https://doi.org/10.1177/1042258718795346 Li, C., Isidor, R., Dau, L. A., & Kabst, R. (2018). The More the Merrier? Immigrant Share and Entrepreneurial Activities. Entrepreneurship Theory and Practice, 42(5), 698–733. https://doi.org/10.1177/1042258718795344

scholarly journals Joint modeling of choices and reaction times based on Bayesian contextual behavioral control

2021 ◽  
Author(s):  
Sarah Schw&oumlbel ◽  
Dimitrije Markovic ◽  
Michael N Smolka ◽  
Stefan Kiebel
Keyword(s):  
Decision Making ◽  
Behavioral Control ◽  
Flanker Task ◽  
Instrumental Learning ◽  
Reaction Times ◽  
Behavioral Model ◽  
Joint Modeling ◽  
Sampling Procedure ◽  
Behavioral Measure ◽  
Sequential Decision

In cognitive neuroscience and psychology, reaction times are an important behavioral measure. However, in instrumental learning and goal-directed decision making experiments, findings often rely only on choice probabilities from a value-based model, instead of reaction times. Recent advancements have shown that it is possible to connect value-based decision models with reaction time models, for example in a joint reinforcement learning and diffusion decision model. We propose a novel joint model of both choices and reaction times by combining a mechanistic account of Bayesian sequential decision making with a sampling procedure. Specifically, we use a recent context-specific Bayesian forward planning model which we extend by an MCMC sampler to obtain both choices and reaction times. We show that we can explain and reproduce well-known experimental findings in value based-decision making as well as classical inhibition and switching tasks. First, we use the proposed model to explain how instrumental learning and automatized behavior result in decreased reaction times and improved accuracy. Second, we reproduce classical results in the Eriksen flanker task. Third, we reproduce established findings in task switching. These findings show that the proposed joint behavioral model may describe common underlying processes in all these types of decision making paradigms.

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