Results 61 to 70 of about 1,617,765 (306)

Optimistic Third-Party Sellers in E-Commerce Supply Chains

open access: yesSystems
This paper investigates the effects of optimism in an e-commerce supply chain where two third-party sellers offer substitutable products through a shared e-commerce platform.
Jialu Li, Giri K. Tayi
doaj   +1 more source

A cognitive bias awareness matrix for enhancing ERP Decision-Making in entrepreneurial firms [PDF]

open access: yesJournal of Ethics in Entrepreneurship and Technology
Purpose – The purpose of this study is to address a critical gap in enterprise resource planning (ERP) implementation process for small and medium-sized enterprises (SMEs) by acknowledging and countering cognitive biases through a cognitive bias ...
Michael Wayne Davidson   +2 more
doaj   +1 more source

Optimizing Optimism in Systems Engineers [PDF]

open access: yes, 2009
Biases continue to be an important aspect of human judgment and decision making because they often occur subconsciously and can frequently lead to unfavorable outcomes.
Valerdi, Dr. Ricardo
core  

Longitudinal Assessment of Biomarkers in ALS: Discriminative Biomarkers for Disease Progression and Survival

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers   +7 more
wiley   +1 more source

Optimistic Environmental Messaging Increases State Optimism and in vivo Pro-environmental Behavior

open access: yesFrontiers in Psychology, 2022
Despite recent empirical interest, the links between optimism and pessimism with pro-environmental behavior (PEB) remain equivocal. This research is characterized by a reliance on cross-sectional data, a focus on trait-level at the neglect of state-level
Megan MacKinnon   +2 more
doaj   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

The Impact of Optimism Bias on Strategic Decision-Making and Efficiency in Online Retail Supply Chains

open access: yesSystems
This paper examines the effects of optimism bias within online retail supply chains. Here, optimism refers to a cognitive bias wherein the third-party seller and the e-commerce platform underestimate the likelihood of facing low market potential.
Jialu Li
doaj   +1 more source

Análise e validação de uma escala de Otimismo para a realidade brasileira

open access: yesRevista Principia, 2019
The present study proposed to present contributions regarding the bias of Optimism, with the objective of analyzing and validating a scale for Optimism in the Brazilian population.
Anna Cecília Chaves Gomes   +2 more
doaj   +1 more source

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

open access: yesAdvanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su   +13 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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