Results 51 to 60 of about 1,348,105 (289)
This study examines the impact of overconfidence bias, herding bias, and risk perception on stock investment decisions. This study uses explanatory research with a quantitative approach.
Muchammad Arie Wibowo +2 more
semanticscholar +1 more source
Relationship Between Knowledge and Compliance With Safety Measures: Evidence From COVID‐19
ABSTRACT Compliance with health safety protocols is important for protecting public health, particularly in agricultural sectors where disease outbreaks can disrupt production and market access. Despite its economic significance, we know little about what drives protocol compliance.
Nilufer Cetik +2 more
wiley +1 more source
Testing the Marketing Performance of German Wheat Farmers
ABSTRACT This paper analyses the marketing performance of wheat farmers in Germany. Wheat sales data from 465 individual farms over a 12‐year period are used to test against different market benchmarks. Market benchmarks are constructed by simulating passive trading agents using regional wheat prices.
Franziska Potts, Jens‐Peter Loy
wiley +1 more source
Green Supply Chain Decisions and Revenue-Sharing Contracts under Manufacturers’ Overconfidence
Overconfidence is a prevalent and potentially catastrophic behaviour in judgment and decision-making. In this paper, we define manufacturers’ overconfidence as a belief bias that they overestimate the impact of product greenness on demand and the ...
Hui Zhou +3 more
doaj +1 more source
Overconfidence and Herding Bias on Investment Decisions the Role of Risk Perception as a Mediator
Aims: The investment decision is essential in Small and Medium Enterprises (SMEs). The behavioral financial theory explains that behavioral biases and risk perceptions of SME owners will influence investment decisions.
Wida Purwidianti +2 more
semanticscholar +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
This study looks at how behavioral biases affect investment choices and market efficiency. This research was conducted because many millennials invest on a bandwagon without having a good understanding of investment. This kind of study use the structural
Werner Ria Murhadi +2 more
doaj +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
When deciding creates overconfidence
To the known causes of overconfidence in decisions and judgments, we reveal another source that derives from a bias during the act of decision making.
Peter J. Boyle +2 more
doaj +1 more source

