scholarly journals Value Certainty in Drift-Diffusion Models of Preferential Choice

2020 ◽  
Author(s):  
Douglas Lee ◽  
Marius Usher
Keyword(s):  
Decision Maker ◽  
Negative Impact ◽  
Positive Impact ◽  
Signal To Noise Ratio ◽  
Consumer Products ◽  
Decision Makers ◽  
Drift Diffusion ◽  
Preferential Choice ◽  
Sequential Samples ◽  
Binary Choices

Decision models such as the drift-diffusion model (DDM) are widely used and broadly accepted for their ability to account remarkably well for binary choices between perceptual hypotheses about a stimulus or for preferential decisions between valued options (such as snacks or consumer products), and for their response time (RT) distributions, as a function of the stimulus or the option values. The DDM is built on an evidence accumulation to bound concept, where, in the value domain, a decision maker repeatedly samples the mental representations of the values of the options on offer until satisfied that there is enough evidence in favor of one option over the other. As the value signals that drive the DDM evidence are derived from value estimates that are not known to the decision maker with certainty, repeated sequential samples are necessary to average out noise. The classic DDM typically does not allow for different options to have different levels of variability in their value representations. However, recent value-based decision studies have shown that decision makers often report levels of certainty regarding value estimates that vary across choice options. There is therefore a need to extend the DDM to include an option-specific value certainty component. We present several such DDM extensions and validate them against empirical data from four previous studies. The data supports best a DDM version in which the drift of the accumulation is based on a sort of signal-to-noise ratio of value for each option (rather than a mere accumulation of samples from the corresponding value distributions). This DDM variant accounts for the positive impact of value certainty on choice consistency and for the negative impact of value certainty on RT.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

TURN-OVER GURU PADA MADRASAH ALIYAH NAHDLATUL ULAMA

1970 ◽  
Vol 13 (1) ◽  
Author(s):  
Mochamad Iskarim
Keyword(s):  
Data Collection ◽  
Negative Impact ◽  
Positive Impact ◽  
New Teacher ◽  
Qualitative Approach ◽  
Depth Interview ◽  
Nahdlatul Ulama ◽  
Turn Over ◽  
Interview Questionnaire ◽  
Collection Methods

Penelitian ini dimaksudkan untuk mengetahui dampak positif dan negatif dari adanya pergantian (turn-over) guru di Madrasah Aliyah Nahdlatul Ulama Banyuputih kabupaten Batang. Penelitian inimenggunakan pendekatan kualitatif deskriptif analitis dengan metode pengumpulan data berupa wawancara mendalam, angket, dan dokumentasi. Hasil penelitian menunjukkan adanya turn-over yang tinggi pada guru atau pendidik di madrasah tersebut; keuntungan yang bersifat positif justru didapatkan ketika adanya turn-over guru dibandingkan dampak negatifnya; dan kehadiran guru baru menjadi hal yang sangat disukai oleh siswa dalam hal kreativitas, inovasi pembelajaran, motivasi, dan lain sebagainya.The aims of this research were to know the positive and negative impact of teacher turn over at Madrasah Aliyah Nahdlatul Ulama Banyuputih Kabupaten Batang. This research was use analytical descriptive qualitative approach with depth interview, questionnaire and documentation as data collection methods. The results of this research shows that the positive impact occur more than the negative impact when there was teacher turn over; and the presence of a new teacher become student’s favourite on creativity, learning innovation, and motivation aspects.

PENGARUH GREEN MARKETING DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN PRODUK ORIFLAME PURWAKARTA

2020 ◽  
Vol 7 (1) ◽  
pp. 63-67
Author(s):  
Amna Mawardi
Keyword(s):  
Data Collection ◽  
Product Quality ◽  
Positive Impact ◽  
Consumer Products ◽  
Economic Situation ◽  
Green Marketing ◽  
Purchase Decision ◽  
Purposive Sampling

The Research aimed to determine factors that influencing the purchase decision of oriflame’s product. This research was take in two variables that affect the decision to purchase the green marketing (X1) and Product Quality (X2). Data collection using non-probability technique and the kind of the purposive sampling spread at les 100 respondents in Purwakarta that are active and ever of Oriflame’s consumer products. The research analyzed through the software SPSS 22. The outcome of this research, in partial such green marketing and the product quality have had a significant positive impact of the purchase decision. The whole dependent variable simultaneously influence of the purchase decision with F value count 55,587 and the economic situation of significant 0,000 < 0.05. R square value showed the results of 0,534 having meaning that whole of dependent variable influential simultaneously as many as 53,4 %.

Accidental Sustainability

2017 ◽  
Author(s):  
Geoffrey Jones
Keyword(s):  
Large Scale ◽  
Negative Impact ◽  
Positive Impact ◽  
Organic Food ◽  
The United States ◽  
Air Travel ◽  
Business Leaders ◽  
Natural Beauty ◽  
And Diffusion ◽  
Whole Foods

This chapter examines the scaling and diffusion of green entrepreneurship between 1980 and the present. It explores how entrepreneurs and business leaders promoted the idea that business and sustainability were compatible. It then examines the rapid growth of organic foods, natural beauty, ecological architecture, and eco-tourism. Green firms sometimes grew to a large scale, such as the retailer Whole Foods Market in the United States. The chapter explores how greater mainstreaming of these businesses resulted in a new set of challenges arising from scaling. Organic food was now transported across large distances causing a negative impact on carbon emissions. More eco-tourism resulted in more air travel and bigger airports. In other industries scaling had a more positive impact. Towns were major polluters, so more ecological buildings had a positive impact.

scholarly journals Socioeconomic Conditions and Landowners’ Perception Affect the Intention to Restore Polylepis Forests in the Central Andes of Peru

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 118
Author(s):  
Lunel Joseph ◽  
Raúl Marino Yaranga Cano ◽  
Marco Arizapana-Almonacid ◽  
Marcela Venelli Pyles ◽  
Flávia Freire de Siqueira ◽  
...  
Keyword(s):  
Rural Communities ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Negative Impact ◽  
Positive Impact ◽  
Central Andes ◽  
Socioeconomic Conditions ◽  
Native Flora ◽  
The Family ◽  
Andes Region

Research Highlights: Families more dependent on crops as the main source of income of properties have a greater intention of restoring Polylepis forest areas. However, this intention reduces with the increase of family dependence on subsistence products supplied by Polylepis forests. Properties where the chances of restoration of Polylepis forests are greater are those where the educational and technical level is better. Objectives: We aimed to comprehend which socioeconomic factors of rural properties and families’ perception were determinant for the intention to restore Polylepis forests in the Central Andes region of Peru. Material and Methods: We collected data through visits and the application of questionnaires. We selected 13 rural communities in the Tulumayo River Basin. We randomly sampled 10 to 20 families in each community, depending on its size, totaling 200 families. We used generalized linear mixed model (GLMM) to test which variables affect the intention to restore the forest. Results: When crops are the main source of income in the property, the families have more intention to restore Polylepis areas, on the other hand, when Polylepis forests are an important source of products for the family subsistence, the intention to restore forests reduces, indicating that higher technological status has a positive impact on restoration. The perception that Polylepis forests are important for the existence of water sources had a positive impact on the families’ intention to restore the areas. However, the perception that Polylepis forests are important for native flora persistence had a negative impact on the intention to restore their areas. Conclusions: Our results showed that investment in improving the productivity of the properties and in the education of their landowners should increase the success of eventual programs for restoration of Polylepis forests.

043 Sleep Restriction Affects Memory in Healthy Adults: Preliminary Findings

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A18-A19
Author(s):  
Molly Zimmerman ◽  
Christiane Hale ◽  
Adam Brickman ◽  
Lok-Kin Yeung ◽  
Justin Cochran ◽  
...  
Keyword(s):  
Working Memory ◽  
Negative Impact ◽  
Positive Impact ◽  
Healthy Adults ◽  
Task Demands ◽  
Sleep Restriction ◽  
Neuropsychological Function ◽  
Wake Time ◽  
Sleep Condition ◽  
The Impact

Abstract Introduction Sleep loss has a range of detrimental effects on cognitive ability. However, few studies have examined the impact of sleep restriction on neuropsychological function using an experimental design. The goal of this study was to examine the extent to which maintained insufficient sleep affects cognition in healthy adults compared to habitual adequate sleep. Methods This study used a randomized, crossover, outpatient sleep restriction design. Adults who regularly slept at least 7 h/night, verified by 2 weeks of screening with actigraphy, completed 2 phases of 6 weeks each: habitual sleep (&gt;7 h of sleep/night) or sleep restriction (habitual sleep minus 1.5 h) separated by a 6-week washout period. During the sleep restriction phase, participants were asked to delay their bedtime by 1.5 hours/night while maintaining their habitual wake time. Neuropsychological function was evaluated with the NIH Toolbox Cognition Battery at baseline (week 0) and endpoint (week 6) of each intervention phase. The NIH Toolbox evaluates a range of cognitive abilities, including attention, executive functioning, and working memory. General linear models with post hoc paired t-tests were used to assess demographically-adjusted test scores prior to and following each sleep condition. Results At the time of analyses, 16 participants were enrolled (age 34.5□14.5 years, 9 women), 10 of whom had completed study procedures. An interaction between sleep condition and testing session revealed that individuals performed worse on List Sorting, a working memory test, after sleep restriction but improved slightly after habitual sleep (p&lt;0.001). While not statistically reliable, the pattern of test results was similar on the other tests of processing speed, executive function, and attention. Conclusion In these preliminary results from this randomized experimental study, we demonstrated that sleep restriction has a negative impact while stable habitual adequate sleep has a positive impact on working memory, or the ability to temporarily hold information in mind while executing task demands. This finding contributes to our understanding of the complex interplay between different aspects of sleep quality (i.e., both sleep restriction as well as the maintenance of stable sleep patterns) on cognition and underscores the importance of routine sleep screening as part of medical evaluations. Support (if any):

scholarly journals Exploring the Relationship between Communication and Success of Construction Projects: The Mediating Role of Conflict

2021 ◽  
Vol 13 (8) ◽  
pp. 4513
Author(s):  
Summaira Malik ◽  
Muhammad Taqi ◽  
José Moleiro Martins ◽  
Mário Nuno Mata ◽  
João Manuel Pereira ◽  
...  
Keyword(s):  
Project Success ◽  
Negative Impact ◽  
Positive Impact ◽  
Construction Project ◽  
Project Team ◽  
Relationship Conflict ◽  
Team Members ◽  
Mediating Role ◽  
The Impact

The success of a construction project is a widely discussed topic, even today, and there exists a difference of opinion. The impact of communication and conflict on project success is an important, but least addressed, issue in literature, especially in the case of underdeveloped countries. Miscommunication and conflict not only hinder the success of a project but also may lead to conflicts. The focus of this paper was to examine the impact of communication on project success with the mediating role of conflict. By using SPSS, demographics, descriptive statistics and correlation were determined. Smart PLS version 3.0 was used for confirmatory factor analysis (CFA), internal accuracy and validity estimates, hypothesis checking and mediation testing. The results showed that formal communication has a negative impact on the success of a construction project, resulting in conflicts among project team members, whereas informal communication and communication willingness have a positive impact on project success because people tend to know each other, and trust is developed. Task, process and relationship conflicts were used as mediating variables. It was found that task conflict effects the relations positively because project team members suggest different ways to do a certain task, and, hence, project success is achieved. On the contrary, process conflict and relationship conflict have a negative impact on communication and project success. Both of these conflicts lead to miscommunication, and project success is compromised. Hence, it is the responsibility of the project manager to enhance communication among project team members and to reduce the detrimental effects of process and relationship conflict on project success.

scholarly journals The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6749
Author(s):  
Shuyang Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Computable General Equilibrium ◽  
Carbon Tax ◽  
Negative Impact ◽  
Positive Impact ◽  
Evaluation Framework ◽  
Socioeconomic Impacts ◽  
Policy Effects ◽  
Distributed Lag

In the literature, very few studies have focused on how urbanisation will influence the policy effects of a climate policy even though urbanisation does have profound socioeconomic impacts. This paper has explored the interrelations among the urbanisation, carbon emissions, GDP, and energy consumption in China using the autoregressive distributed lag (ARDL) model. Then, the unit urbanisation impacts are inputted into the policy evaluation framework of the Computable General Equilibrium (CGE) model in 2015–2030. The results show that the urbanisation had a positive impact on the GDP but a negative impact on the carbon emissions in 1980–2014. These impacts were statistically significant, but its impact on the energy consumption was not statistically significant. In 2015–2030, the urbanisation will have negative impacts on the carbon emissions and intensity. It will decrease the GDP and the household welfare under the carbon tax. The urbanisation will increase the average social cost of carbon (ASCC). Hence, the urbanisation will reinforce the policy effects of the carbon tax on the emissions and welfare.

scholarly journals Environmental Regulation, Environmental Awareness and Environmental Governance Satisfaction

2021 ◽  
Vol 13 (7) ◽  
pp. 3960
Author(s):  
Meng-Meng Geng ◽  
Ling-Yun He
Keyword(s):  
Environmental Regulation ◽  
Environmental Governance ◽  
Negative Impact ◽  
Positive Impact ◽  
Subjective Evaluation ◽  
Environmental Awareness ◽  
General Social Survey ◽  
Probit Model ◽  
The People ◽  
The Impact

It is a problem worth thinking about whether the government’s environmental regulation policies can meet the residents’ requirements for environmental quality, and benefit the people. The study of the public’s subjective evaluation can more intuitively judge whether the government’s environmental regulation has realized “ecological benefits for the people”. Based on the data of the Chinese General Social Survey (CGSS) in 2013, this paper studied the impact of environmental regulation and environmental awareness on environmental governance satisfaction by an ordered probit model. The study found that environmental regulation has a significant positive impact on environmental governance satisfaction, while environmental awareness has a significant negative impact on environmental governance satisfaction. We also found that when public environmental awareness is taken into account, the positive relationship between environmental regulation and environmental governance satisfaction is affected. The robustness test proved this conclusion.

scholarly journals A performance model for mobile robot-based part feeding systems to supermarkets

2021 ◽  
Author(s):  
Emilio Moretti ◽  
Elena Tappia ◽  
Martina Mauri ◽  
Marco Melacini
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Waiting Times ◽  
Performance Model ◽  
Innovative Technology ◽  
Shop Floor ◽  
Storage And Retrieval ◽  
Trade Offs ◽  
Part Feeding ◽  
Feeding Systems

AbstractIn a context where companies are striving to produce highly customised goods in small batches and within short lead times, increasing attention is being put on the design and management of part feeding systems. This research is the first to model automated part feeding to supermarkets in a factory environment, considering an innovative technology called vertical robotic storage and retrieval systems. This technology allows automating the storage, picking, and internal transportation activities in an integrated process, thanks to rack-climbing robots roaming in both the shop floor and the storage racks. We develop an analytical model based on the queuing network approach to analyse the system performance, and we use it to perform numerical experiments and to evaluate the design trade-offs with reference to a real case in the automotive industry. Results show that an increase in the number of robots leads to better performance since the positive impact on the response time is stronger than the negative impact on the waiting times of robots at the supermarkets due to congestion. Furthermore, a configuration with multiple small supermarkets improves the efficiency of the replenishment process, compared to a setting with few big supermarkets.

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